diff --git a/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/en.md b/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/en.md
index 09522fbfb..2d7bdde09 100644
--- a/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/en.md
+++ b/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/en.md
@@ -1,11 +1,11 @@
-## Overview
+# Beeble SwitchX Image Edit
Edit a single image with Beeble SwitchX. This node can switch anything in the scene (background, lighting, costume) while preserving the original subject's pixels. Provide a reference image and/or text prompt to describe the new look. Maximum resolution is approximately 2.77 megapixels.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The source image to edit. | IMAGE | Yes | - |
| `prompt` | A text description of the desired new look (e.g., "a knight in shining armor"). | STRING | Yes | - |
| `alpha_mode` | How to handle the alpha matte. "select" uses a keyframe to select the subject, "fill" replaces the entire image without a separate matte, "custom" uses a user-provided mask. | COMBO | Yes | `"select"`
`"fill"`
`"custom"` |
@@ -18,11 +18,11 @@ Edit a single image with Beeble SwitchX. This node can switch anything in the sc
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The edited image with the scene elements switched. | IMAGE |
| `alpha` | The alpha matte used by Beeble. Empty for "fill" mode, which has no separate matte. | MASK |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXImageEdit/en.md)
---
-**Source fingerprint (SHA-256):** `41f23435686626e3ade28708fcb1da192ded347b210080ee9b17834ea8b727fb`
+**Source fingerprint (SHA-256):** `6fd10dff6ac4f1a15fd05de7a6ff6eda988e60dd4ef32bc8c792480fbbf0c92b`
diff --git a/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/en.md b/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/en.md
index 26849cb58..33a604468 100644
--- a/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/en.md
+++ b/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/en.md
@@ -1,12 +1,12 @@
# Beeble SwitchX Video Edit
-Edit a video with Beeble SwitchX. This node can switch anything in the scene (background, lighting, costume) while preserving the original subject's pixels and motion. Provide a reference image and/or text prompt to describe the new look.
+Edit a video with Beeble SwitchX. This node can switch anything in the scene (background, lighting, costume) while preserving the original subject's pixels and motion. Provide a reference image and/or text prompt to describe the new look. Maximum 240 frames, maximum approximately 2.77 megapixels per frame.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `video` | The input video to edit. Maximum 240 frames, maximum ~2.77 megapixels per frame. | VIDEO | Yes | N/A |
+|-----------|-------------|-----------|----------|-------|
+| `video` | The input video to edit. | VIDEO | Yes | N/A |
| `prompt` | A text description of the desired new look for the scene. | STRING | Yes | N/A |
| `alpha_mode` | The alpha matte mode. "fill" mode has no separate matte and fills the entire frame. "select" mode uses a single keyframe image to define the area to edit. "custom" mode uses a full alpha video to define the area to edit frame by frame. | COMBO | Yes | `"fill"`
`"select"`
`"custom"` |
| `max_resolution` | The maximum resolution for the output video (default: "1080p"). | COMBO | Yes | `"720p"`
`"1080p"` |
@@ -26,11 +26,11 @@ When using `select` mode, you must provide the `alpha_keyframe` image. When usin
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The edited video with the scene changes applied. | VIDEO |
| `alpha` | The alpha matte used by Beeble. This is empty for "fill" mode, which has no separate matte. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BeebleSwitchXVideoEdit/en.md)
---
-**Source fingerprint (SHA-256):** `e2d67b037863f024f42c97943ec0d2daf32b547b232a7dfedd6de398f4b7ba28`
+**Source fingerprint (SHA-256):** `a92e78e6a08ac01466d953562a250b812eb8b1a5fb37efce6fddd7aa1ef380a2`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/ar.md b/comfyui_embedded_docs/docs/BerniniConditioning/ar.md
new file mode 100644
index 000000000..769d0499c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/BerniniConditioning/ar.md
@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+تقوم عقدة BerniniConditioning بإعداد بيانات التكييف الخاصة بالفيديو والصورة لنموذج Wan2.2-A14B. تقوم بتشفير مقاطع الفيديو المصدر، ومقاطع الفيديو المرجعية، والصور المرجعية باستخدام VAE المقدم، ثم تُرفقها ببيانات التكييف لمهام التوليد السياقي.
+
+## المدخلات
+
+| المعامل | الوصف | نوع البيانات | مطلوب | النطاق |
+|---------|-------|---------------|--------|--------|
+| `positive` | بيانات التكييف الإيجابي | CONDITIONING | نعم | - |
+| `negative` | بيانات التكييف السلبي | CONDITIONING | نعم | - |
+| `vae` | نموذج VAE المستخدم لتشفير مدخلات الفيديو والصورة | VAE | نعم | - |
+| `width` | عرض الكمون الناتج (الافتراضي: 832) | INT | نعم | 16 إلى 8192 (الخطوة: 16) |
+| `height` | ارتفاع الكمون الناتج (الافتراضي: 480) | INT | نعم | 16 إلى 8192 (الخطوة: 16) |
+| `length` | عدد الإطارات في الكمون الناتج (الافتراضي: 81) | INT | نعم | 1 إلى 8192 (الخطوة: 4) |
+| `batch_size` | عدد مقاطع الفيديو المطلوب توليدها في دفعة واحدة (الافتراضي: 1) | INT | نعم | 1 إلى 4096 |
+| `source_video` | الفيديو المصدر المراد تحريره أو إعادة تصميمه (v2v, rv2v). يتم تغيير حجمه إلى العرض/الارتفاع وقصّه إلى الطول المحدد. | IMAGE | لا | - |
+| `reference_video` | الفيديو المراد إدراجه في الفيديو المصدر (ads2v). | IMAGE | لا | - |
+| `reference_images` | الصور المرجعية المحقونة كرموز سياقية (r2v, rv2v). يمكن توفير ما يصل إلى 8 صور. | IMAGE | لا | 0 إلى 8 صور |
+| `ref_max_size` | الحد الأقصى لحجم الحافة الطويلة للفيديو المرجعي والصور المرجعية. يتم تغيير الحجم مع الحفاظ على نسبة العرض إلى الارتفاع وتثبيته عند 16 بكسل (الافتراضي: 848). | INT | لا | 16 إلى 8192 (الخطوة: 16) |
+
+**ملاحظة:** يتم استنتاج المهمة من المدخلات المتصلة:
+- عدم توصيل أي مدخلات → نص إلى فيديو (t2v)
+- توصيل `source_video` فقط → فيديو إلى فيديو (v2v)
+- توصيل `source_video` + `reference_images` → تحرير فيديو موجه بالمرجع (rv2v)
+- توصيل `reference_images` فقط → مرجع إلى فيديو (r2v)
+- توصيل `source_video` + `reference_video` → إدراج صورة/فيديو داخل فيديو (ads2v)
+
+## المخرجات
+
+| اسم المخرج | الوصف | نوع البيانات |
+|------------|-------|---------------|
+| `positive` | التكييف الإيجابي مع الكمونات السياقية المرفقة | CONDITIONING |
+| `negative` | التكييف السلبي مع الكمونات السياقية المرفقة | CONDITIONING |
+| `latent` | موتر كمون فارغ بأبعاد تطابق العرض والارتفاع والطول وحجم الدفعة المحددة | LATENT |
+
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/ar.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/en.md b/comfyui_embedded_docs/docs/BerniniConditioning/en.md
new file mode 100644
index 000000000..c7cf9cc97
--- /dev/null
+++ b/comfyui_embedded_docs/docs/BerniniConditioning/en.md
@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+The BerniniConditioning node prepares video and image conditioning data for the Wan2.2-A14B model. It encodes source videos, reference videos, and reference images using the provided VAE, then attaches them to the conditioning data for in-context generation tasks. The task is automatically inferred from which inputs are connected.
+
+## Inputs
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `positive` | Positive conditioning data | CONDITIONING | Yes | - |
+| `negative` | Negative conditioning data | CONDITIONING | Yes | - |
+| `vae` | VAE model used to encode video and image inputs | VAE | Yes | - |
+| `width` | Width of the output latent (default: 832) | INT | Yes | 16 to 8192 (step: 16) |
+| `height` | Height of the output latent (default: 480) | INT | Yes | 16 to 8192 (step: 16) |
+| `length` | Number of frames in the output latent (default: 81) | INT | Yes | 1 to 8192 (step: 4) |
+| `batch_size` | Number of videos to generate in a single batch (default: 1) | INT | Yes | 1 to 4096 |
+| `source_video` | Source video to edit or restyle (v2v, rv2v). Resized to width/height and trimmed to length. | IMAGE | No | - |
+| `reference_video` | Video to insert into the source video (ads2v). | IMAGE | No | - |
+| `reference_images` | Reference images injected as in-context tokens (r2v, rv2v). Up to 8 images can be provided. | IMAGE | No | 0 to 8 images |
+| `ref_max_size` | Max size for the long edge of reference_video and reference_images. Resized with preserved aspect ratio and snapped to 16px (default: 848). | INT | No | 16 to 8192 (step: 16) |
+
+**Note:** The task is inferred from which inputs are connected:
+- No inputs connected → text-to-video (t2v)
+- `source_video` only → video-to-video (v2v)
+- `source_video` + `reference_images` → reference-guided video editing (rv2v)
+- `reference_images` only → reference-to-video (r2v)
+- `source_video` + `reference_video` → insert image/video into video (ads2v)
+
+## Outputs
+
+| Output Name | Description | Data Type |
+|-------------|-------------|-----------|
+| `positive` | Positive conditioning with context latents attached | CONDITIONING |
+| `negative` | Negative conditioning with context latents attached | CONDITIONING |
+| `latent` | Empty latent tensor with dimensions matching the specified width, height, length, and batch size | LATENT |
+
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/en.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/es.md b/comfyui_embedded_docs/docs/BerniniConditioning/es.md
new file mode 100644
index 000000000..ef1e86fa1
--- /dev/null
+++ b/comfyui_embedded_docs/docs/BerniniConditioning/es.md
@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+El nodo BerniniConditioning prepara datos de condicionamiento de video e imagen para el modelo Wan2.2-A14B. Codifica videos fuente, videos de referencia e imágenes de referencia utilizando el VAE proporcionado, y luego los adjunta a los datos de condicionamiento para tareas de generación en contexto.
+
+## Entradas
+
+| Parámetro | Descripción | Tipo de Dato | Requerido | Rango |
+|-----------|-------------|--------------|-----------|-------|
+| `positive` | Datos de condicionamiento positivo | CONDITIONING | Sí | - |
+| `negative` | Datos de condicionamiento negativo | CONDITIONING | Sí | - |
+| `vae` | Modelo VAE utilizado para codificar entradas de video e imagen | VAE | Sí | - |
+| `width` | Ancho del latente de salida (predeterminado: 832) | INT | Sí | 16 a 8192 (paso: 16) |
+| `height` | Alto del latente de salida (predeterminado: 480) | INT | Sí | 16 a 8192 (paso: 16) |
+| `length` | Número de fotogramas en el latente de salida (predeterminado: 81) | INT | Sí | 1 a 8192 (paso: 4) |
+| `batch_size` | Número de videos a generar en un solo lote (predeterminado: 1) | INT | Sí | 1 a 4096 |
+| `source_video` | Video fuente para editar o cambiar el estilo (v2v, rv2v). Redimensionado al ancho/alto y recortado a la longitud especificada. | IMAGE | No | - |
+| `reference_video` | Video para insertar en el video fuente (ads2v). | IMAGE | No | - |
+| `reference_images` | Imágenes de referencia inyectadas como tokens de contexto (r2v, rv2v). Se pueden proporcionar hasta 8 imágenes. | IMAGE | No | 0 a 8 imágenes |
+| `ref_max_size` | Tamaño máximo para el borde largo de reference_video y reference_images. Redimensionado manteniendo la relación de aspecto y ajustado a 16px (predeterminado: 848). | INT | No | 16 a 8192 (paso: 16) |
+
+**Nota:** La tarea se infiere según qué entradas están conectadas:
+- Sin entradas conectadas → texto a video (t2v)
+- Solo `source_video` → video a video (v2v)
+- `source_video` + `reference_images` → edición de video guiada por referencia (rv2v)
+- Solo `reference_images` → referencia a video (r2v)
+- `source_video` + `reference_video` → insertar imagen/video en video (ads2v)
+
+## Salidas
+
+| Nombre de Salida | Descripción | Tipo de Dato |
+|------------------|-------------|--------------|
+| `positive` | Condicionamiento positivo con latentes de contexto adjuntos | CONDITIONING |
+| `negative` | Condicionamiento negativo con latentes de contexto adjuntos | CONDITIONING |
+| `latent` | Tensor latente vacío con dimensiones que coinciden con el ancho, alto, longitud y tamaño de lote especificados | LATENT |
+
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/es.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/fa.md b/comfyui_embedded_docs/docs/BerniniConditioning/fa.md
new file mode 100644
index 000000000..b1c01fe31
--- /dev/null
+++ b/comfyui_embedded_docs/docs/BerniniConditioning/fa.md
@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+گره BerniniConditioning دادههای شرطیسازی ویدیو و تصویر را برای مدل Wan2.2-A14B آماده میکند. این گره ویدیوهای منبع، ویدیوهای مرجع و تصاویر مرجع را با استفاده از VAE ارائهشده رمزگذاری کرده، سپس آنها را برای وظایف تولید درونبافتی به دادههای شرطیسازی متصل میکند.
+
+## ورودیها
+
+| پارامتر | توضیحات | نوع داده | ضروری | محدوده |
+|---------|---------|----------|-------|--------|
+| `positive` | دادههای شرطیسازی مثبت | CONDITIONING | بله | - |
+| `negative` | دادههای شرطیسازی منفی | CONDITIONING | بله | - |
+| `vae` | مدل VAE مورد استفاده برای رمزگذاری ورودیهای ویدیو و تصویر | VAE | بله | - |
+| `width` | عرض خروجی نهفته (پیشفرض: 832) | INT | بله | 16 تا 8192 (گام: 16) |
+| `height` | ارتفاع خروجی نهفته (پیشفرض: 480) | INT | بله | 16 تا 8192 (گام: 16) |
+| `length` | تعداد فریمهای خروجی نهفته (پیشفرض: 81) | INT | بله | 1 تا 8192 (گام: 4) |
+| `batch_size` | تعداد ویدیوهای تولیدشده در یک دسته (پیشفرض: 1) | INT | بله | 1 تا 4096 |
+| `source_video` | ویدیوی منبع برای ویرایش یا تغییر سبک (v2v, rv2v). به اندازه عرض/ارتفاع تغییر اندازه داده و به طول مشخص شده برش میخورد. | IMAGE | خیر | - |
+| `reference_video` | ویدیویی که در ویدیوی منبع درج میشود (ads2v). | IMAGE | خیر | - |
+| `reference_images` | تصاویر مرجع که بهعنوان توکنهای درونبافتی تزریق میشوند (r2v, rv2v). حداکثر 8 تصویر قابل ارائه است. | IMAGE | خیر | 0 تا 8 تصویر |
+| `ref_max_size` | حداکثر اندازه برای لبه بلند reference_video و reference_images. با حفظ نسبت ابعاد تغییر اندازه داده و به 16 پیکسل گرد میشود (پیشفرض: 848). | INT | خیر | 16 تا 8192 (گام: 16) |
+
+**نکته:** وظیفه بر اساس ورودیهای متصل تعیین میشود:
+- بدون ورودی متصل → متن به ویدیو (t2v)
+- فقط `source_video` → ویدیو به ویدیو (v2v)
+- `source_video` + `reference_images` → ویرایش ویدیوی راهنماییشده با مرجع (rv2v)
+- فقط `reference_images` → مرجع به ویدیو (r2v)
+- `source_video` + `reference_video` → درج تصویر/ویدیو در ویدیو (ads2v)
+
+## خروجیها
+
+| نام خروجی | توضیحات | نوع داده |
+|-----------|---------|----------|
+| `positive` | شرطیسازی مثبت با نهفتههای بافتی متصل | CONDITIONING |
+| `negative` | شرطیسازی منفی با نهفتههای بافتی متصل | CONDITIONING |
+| `latent` | تنسور نهفته خالی با ابعاد منطبق با عرض، ارتفاع، طول و اندازه دسته مشخصشده | LATENT |
+
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/fa.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/fr.md b/comfyui_embedded_docs/docs/BerniniConditioning/fr.md
new file mode 100644
index 000000000..a71401a3a
--- /dev/null
+++ b/comfyui_embedded_docs/docs/BerniniConditioning/fr.md
@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+Le nœud BerniniConditioning prépare les données de conditionnement vidéo et image pour le modèle Wan2.2-A14B. Il encode les vidéos sources, les vidéos de référence et les images de référence à l'aide du VAE fourni, puis les attache aux données de conditionnement pour des tâches de génération en contexte.
+
+## Entrées
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `positive` | Données de conditionnement positives | CONDITIONING | Oui | - |
+| `negative` | Données de conditionnement négatives | CONDITIONING | Oui | - |
+| `vae` | Modèle VAE utilisé pour encoder les entrées vidéo et image | VAE | Oui | - |
+| `width` | Largeur du latent de sortie (par défaut : 832) | INT | Oui | 16 à 8192 (pas : 16) |
+| `height` | Hauteur du latent de sortie (par défaut : 480) | INT | Oui | 16 à 8192 (pas : 16) |
+| `length` | Nombre d'images dans le latent de sortie (par défaut : 81) | INT | Oui | 1 à 8192 (pas : 4) |
+| `batch_size` | Nombre de vidéos à générer en un seul lot (par défaut : 1) | INT | Oui | 1 à 4096 |
+| `source_video` | Vidéo source à éditer ou restyler (v2v, rv2v). Redimensionnée à la largeur/hauteur et ajustée à la longueur. | IMAGE | Non | - |
+| `reference_video` | Vidéo à insérer dans la vidéo source (ads2v). | IMAGE | Non | - |
+| `reference_images` | Images de référence injectées comme jetons en contexte (r2v, rv2v). Jusqu'à 8 images peuvent être fournies. | IMAGE | Non | 0 à 8 images |
+| `ref_max_size` | Taille maximale pour le bord long de reference_video et reference_images. Redimensionné avec conservation du rapport hauteur/largeur et ajusté à 16px (par défaut : 848). | INT | Non | 16 à 8192 (pas : 16) |
+
+**Remarque :** La tâche est déduite des entrées connectées :
+- Aucune entrée connectée → texte-vers-vidéo (t2v)
+- `source_video` uniquement → vidéo-vers-vidéo (v2v)
+- `source_video` + `reference_images` → édition vidéo guidée par référence (rv2v)
+- `reference_images` uniquement → référence-vers-vidéo (r2v)
+- `source_video` + `reference_video` → insertion d'image/vidéo dans une vidéo (ads2v)
+
+## Sorties
+
+| Nom de sortie | Description | Type de données |
+|---------------|-------------|-----------------|
+| `positive` | Conditionnement positif avec latents de contexte attachés | CONDITIONING |
+| `negative` | Conditionnement négatif avec latents de contexte attachés | CONDITIONING |
+| `latent` | Tenseur latent vide dont les dimensions correspondent à la largeur, hauteur, longueur et taille de lot spécifiées | LATENT |
+
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/fr.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/ja.md b/comfyui_embedded_docs/docs/BerniniConditioning/ja.md
new file mode 100644
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@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+BerniniConditioningノードは、Wan2.2-A14Bモデル用の動画および画像の条件付けデータを準備します。提供されたVAEを使用してソース動画、参照動画、参照画像をエンコードし、それらを条件付けデータに付加して、インコンテキスト生成タスクを実行します。
+
+## 入力
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `positive` | ポジティブ条件付けデータ | CONDITIONING | はい | - |
+| `negative` | ネガティブ条件付けデータ | CONDITIONING | はい | - |
+| `vae` | 動画および画像入力をエンコードするために使用するVAEモデル | VAE | はい | - |
+| `width` | 出力潜在変数の幅（デフォルト: 832） | INT | はい | 16～8192（ステップ: 16） |
+| `height` | 出力潜在変数の高さ（デフォルト: 480） | INT | はい | 16～8192（ステップ: 16） |
+| `length` | 出力潜在変数のフレーム数（デフォルト: 81） | INT | はい | 1～8192（ステップ: 4） |
+| `batch_size` | 1バッチで生成する動画の数（デフォルト: 1） | INT | はい | 1～4096 |
+| `source_video` | 編集またはリスタイルするソース動画（v2v、rv2v）。幅/高さにリサイズされ、長さにトリミングされます。 | IMAGE | いいえ | - |
+| `reference_video` | ソース動画に挿入する動画（ads2v）。 | IMAGE | いいえ | - |
+| `reference_images` | インコンテキストトークンとして注入される参照画像（r2v、rv2v）。最大8枚の画像を指定できます。 | IMAGE | いいえ | 0～8枚の画像 |
+| `ref_max_size` | reference_videoおよびreference_imagesの長辺の最大サイズ。アスペクト比を維持してリサイズされ、16pxにスナップされます（デフォルト: 848）。 | INT | いいえ | 16～8192（ステップ: 16） |
+
+**注記:** タスクは、どの入力が接続されているかから推論されます：
+- 入力が接続されていない場合 → テキストから動画へ（t2v）
+- `source_video`のみの場合 → 動画から動画へ（v2v）
+- `source_video` + `reference_images`の場合 → 参照ガイド付き動画編集（rv2v）
+- `reference_images`のみの場合 → 参照から動画へ（r2v）
+- `source_video` + `reference_video`の場合 → 画像/動画を動画に挿入（ads2v）
+
+## 出力
+
+| 出力名 | 説明 | データ型 |
+|-------------|-------------|-----------|
+| `positive` | コンテキスト潜在変数が付加されたポジティブ条件付けデータ | CONDITIONING |
+| `negative` | コンテキスト潜在変数が付加されたネガティブ条件付けデータ | CONDITIONING |
+| `latent` | 指定された幅、高さ、長さ、バッチサイズに一致する次元を持つ空の潜在テンソル | LATENT |
+
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/ja.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/ko.md b/comfyui_embedded_docs/docs/BerniniConditioning/ko.md
new file mode 100644
index 000000000..6594d3b1e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/BerniniConditioning/ko.md
@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+BerniniConditioning 노드는 Wan2.2-A14B 모델을 위한 비디오 및 이미지 컨디셔닝 데이터를 준비합니다. 제공된 VAE를 사용하여 소스 비디오, 참조 비디오 및 참조 이미지를 인코딩한 후, 이를 컨텍스트 내 생성 작업을 위한 컨디셔닝 데이터에 첨부합니다.
+
+## 입력
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `positive` | 긍정 컨디셔닝 데이터 | CONDITIONING | 예 | - |
+| `negative` | 부정 컨디셔닝 데이터 | CONDITIONING | 예 | - |
+| `vae` | 비디오 및 이미지 입력을 인코딩하는 데 사용되는 VAE 모델 | VAE | 예 | - |
+| `width` | 출력 잠재 변수의 너비(기본값: 832) | INT | 예 | 16 ~ 8192 (단위: 16) |
+| `height` | 출력 잠재 변수의 높이(기본값: 480) | INT | 예 | 16 ~ 8192 (단위: 16) |
+| `length` | 출력 잠재 변수의 프레임 수(기본값: 81) | INT | 예 | 1 ~ 8192 (단위: 4) |
+| `batch_size` | 단일 배치에서 생성할 비디오 수(기본값: 1) | INT | 예 | 1 ~ 4096 |
+| `source_video` | 편집 또는 스타일 변경할 소스 비디오(v2v, rv2v). 너비/높이로 크기 조정되고 길이에 맞게 잘립니다. | IMAGE | 아니요 | - |
+| `reference_video` | 소스 비디오에 삽입할 비디오(ads2v). | IMAGE | 아니요 | - |
+| `reference_images` | 컨텍스트 내 토큰으로 주입되는 참조 이미지(r2v, rv2v). 최대 8개의 이미지를 제공할 수 있습니다. | IMAGE | 아니요 | 0 ~ 8개 이미지 |
+| `ref_max_size` | reference_video 및 reference_images의 긴 쪽 최대 크기. 종횡비를 유지하며 크기 조정되고 16px 단위로 맞춰집니다(기본값: 848). | INT | 아니요 | 16 ~ 8192 (단위: 16) |
+
+**참고:** 작업은 어떤 입력이 연결되었는지에 따라 결정됩니다:
+- 연결된 입력 없음 → 텍스트-투-비디오 (t2v)
+- `source_video`만 연결됨 → 비디오-투-비디오 (v2v)
+- `source_video` + `reference_images` → 참조 기반 비디오 편집 (rv2v)
+- `reference_images`만 연결됨 → 참조-투-비디오 (r2v)
+- `source_video` + `reference_video` → 비디오에 이미지/비디오 삽입 (ads2v)
+
+## 출력
+
+| 출력 이름 | 설명 | 데이터 타입 |
+|-------------|-------------|-----------|
+| `positive` | 컨텍스트 잠재 변수가 첨부된 긍정 컨디셔닝 | CONDITIONING |
+| `negative` | 컨텍스트 잠재 변수가 첨부된 부정 컨디셔닝 | CONDITIONING |
+| `latent` | 지정된 너비, 높이, 길이 및 배치 크기와 일치하는 차원의 빈 잠재 변수 텐서 | LATENT |
+
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/ko.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/pt-BR.md b/comfyui_embedded_docs/docs/BerniniConditioning/pt-BR.md
new file mode 100644
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@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+O nó BerniniConditioning prepara dados de condicionamento de vídeo e imagem para o modelo Wan2.2-A14B. Ele codifica vídeos fonte, vídeos de referência e imagens de referência usando o VAE fornecido, em seguida os anexa aos dados de condicionamento para tarefas de geração em contexto.
+
+## Entradas
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-------------|-----------|----------|-------|
+| `positive` | Dados de condicionamento positivo | CONDITIONING | Sim | - |
+| `negative` | Dados de condicionamento negativo | CONDITIONING | Sim | - |
+| `vae` | Modelo VAE usado para codificar entradas de vídeo e imagem | VAE | Sim | - |
+| `width` | Largura do latente de saída (padrão: 832) | INT | Sim | 16 a 8192 (passo: 16) |
+| `height` | Altura do latente de saída (padrão: 480) | INT | Sim | 16 a 8192 (passo: 16) |
+| `length` | Número de quadros no latente de saída (padrão: 81) | INT | Sim | 1 a 8192 (passo: 4) |
+| `batch_size` | Número de vídeos a serem gerados em um único lote (padrão: 1) | INT | Sim | 1 a 4096 |
+| `source_video` | Vídeo fonte para editar ou reestilizar (v2v, rv2v). Redimensionado para largura/altura e cortado para o comprimento especificado. | IMAGE | Não | - |
+| `reference_video` | Vídeo a ser inserido no vídeo fonte (ads2v). | IMAGE | Não | - |
+| `reference_images` | Imagens de referência injetadas como tokens em contexto (r2v, rv2v). Até 8 imagens podem ser fornecidas. | IMAGE | Não | 0 a 8 imagens |
+| `ref_max_size` | Tamanho máximo para a borda longa do vídeo de referência e imagens de referência. Redimensionado com proporção preservada e ajustado para 16px (padrão: 848). | INT | Não | 16 a 8192 (passo: 16) |
+
+**Observação:** A tarefa é inferida a partir de quais entradas estão conectadas:
+- Nenhuma entrada conectada → texto-para-vídeo (t2v)
+- Apenas `source_video` → vídeo-para-vídeo (v2v)
+- `source_video` + `reference_images` → edição de vídeo guiada por referência (rv2v)
+- Apenas `reference_images` → referência-para-vídeo (r2v)
+- `source_video` + `reference_video` → inserir imagem/vídeo em vídeo (ads2v)
+
+## Saídas
+
+| Nome da Saída | Descrição | Tipo de Dado |
+|-------------|-------------|-----------|
+| `positive` | Condicionamento positivo com latentes de contexto anexados | CONDITIONING |
+| `negative` | Condicionamento negativo com latentes de contexto anexados | CONDITIONING |
+| `latent` | Tensor latente vazio com dimensões correspondentes à largura, altura, comprimento e tamanho do lote especificados | LATENT |
+
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/pt-BR.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/ru.md b/comfyui_embedded_docs/docs/BerniniConditioning/ru.md
new file mode 100644
index 000000000..86a5d7eec
--- /dev/null
+++ b/comfyui_embedded_docs/docs/BerniniConditioning/ru.md
@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+Узел BerniniConditioning подготавливает данные видеосостояния и изображений для модели Wan2.2-A14B. Он кодирует исходные видео, эталонные видео и эталонные изображения с помощью указанного VAE, после чего присоединяет их к данным состояния для задач контекстной генерации.
+
+## Входные параметры
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `positive` | Положительные данные состояния | CONDITIONING | Да | - |
+| `negative` | Отрицательные данные состояния | CONDITIONING | Да | - |
+| `vae` | Модель VAE для кодирования видео и изображений | VAE | Да | - |
+| `width` | Ширина выходного латентного представления (по умолчанию: 832) | INT | Да | от 16 до 8192 (шаг: 16) |
+| `height` | Высота выходного латентного представления (по умолчанию: 480) | INT | Да | от 16 до 8192 (шаг: 16) |
+| `length` | Количество кадров в выходном латентном представлении (по умолчанию: 81) | INT | Да | от 1 до 8192 (шаг: 4) |
+| `batch_size` | Количество видео для генерации в одном пакете (по умолчанию: 1) | INT | Да | от 1 до 4096 |
+| `source_video` | Исходное видео для редактирования или изменения стиля (v2v, rv2v). Изменяет размер до width/height и обрезается до length. | IMAGE | Нет | - |
+| `reference_video` | Видео для вставки в исходное видео (ads2v). | IMAGE | Нет | - |
+| `reference_images` | Эталонные изображения, внедряемые как контекстные токены (r2v, rv2v). Можно указать до 8 изображений. | IMAGE | Нет | от 0 до 8 изображений |
+| `ref_max_size` | Максимальный размер для длинной стороны reference_video и reference_images. Изменяет размер с сохранением пропорций и выравниванием по 16px (по умолчанию: 848). | INT | Нет | от 16 до 8192 (шаг: 16) |
+
+**Примечание:** Тип задачи определяется на основе подключенных входов:
+- Нет подключенных входов → текст-в-видео (t2v)
+- Только `source_video` → видео-в-видео (v2v)
+- `source_video` + `reference_images` → редактирование видео с эталонным управлением (rv2v)
+- Только `reference_images` → эталон-в-видео (r2v)
+- `source_video` + `reference_video` → вставка изображения/видео в видео (ads2v)
+
+## Выходные параметры
+
+| Имя выхода | Описание | Тип данных |
+|------------|----------|------------|
+| `positive` | Положительное состояние с присоединенными контекстными латентными представлениями | CONDITIONING |
+| `negative` | Отрицательное состояние с присоединенными контекстными латентными представлениями | CONDITIONING |
+| `latent` | Пустой тензор латентного представления с размерами, соответствующими указанным width, height, length и batch_size | LATENT |
+
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/ru.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/tr.md b/comfyui_embedded_docs/docs/BerniniConditioning/tr.md
new file mode 100644
index 000000000..4f717f34f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/BerniniConditioning/tr.md
@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+BerniniConditioning düğümü, Wan2.2-A14B modeli için video ve görüntü koşullandırma verilerini hazırlar. Kaynak videoları, referans videoları ve referans görüntülerini sağlanan VAE kullanarak kodlar ve bunları bağlam içi üretim görevleri için koşullandırma verilerine ekler.
+
+## Girişler
+
+| Parametre | Açıklama | Veri Türü | Zorunlu | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `positive` | Pozitif koşullandırma verileri | CONDITIONING | Evet | - |
+| `negative` | Negatif koşullandırma verileri | CONDITIONING | Evet | - |
+| `vae` | Video ve görüntü girişlerini kodlamak için kullanılan VAE modeli | VAE | Evet | - |
+| `width` | Çıktı latenti genişliği (varsayılan: 832) | INT | Evet | 16 ila 8192 (adım: 16) |
+| `height` | Çıktı latenti yüksekliği (varsayılan: 480) | INT | Evet | 16 ila 8192 (adım: 16) |
+| `length` | Çıktı latentindeki kare sayısı (varsayılan: 81) | INT | Evet | 1 ila 8192 (adım: 4) |
+| `batch_size` | Tek bir grupta oluşturulacak video sayısı (varsayılan: 1) | INT | Evet | 1 ila 4096 |
+| `source_video` | Düzenlenecek veya yeniden stillendirilecek kaynak video (v2v, rv2v). Genişlik/yüksekliğe yeniden boyutlandırılır ve uzunluğa kırpılır. | IMAGE | Hayır | - |
+| `reference_video` | Kaynak videoya eklenecek video (ads2v). | IMAGE | Hayır | - |
+| `reference_images` | Bağlam içi token olarak eklenen referans görüntüleri (r2v, rv2v). En fazla 8 görüntü sağlanabilir. | IMAGE | Hayır | 0 ila 8 görüntü |
+| `ref_max_size` | reference_video ve reference_images için uzun kenarın maksimum boyutu. En-boy oranı korunarak yeniden boyutlandırılır ve 16 piksele yuvarlanır (varsayılan: 848). | INT | Hayır | 16 ila 8192 (adım: 16) |
+
+**Not:** Görev, hangi girişlerin bağlı olduğuna göre belirlenir:
+- Hiçbir giriş bağlı değil → metinden videoya (t2v)
+- Yalnızca `source_video` → videodan videoya (v2v)
+- `source_video` + `reference_images` → referans kılavuzlu video düzenleme (rv2v)
+- Yalnızca `reference_images` → referanstan videoya (r2v)
+- `source_video` + `reference_video` → görüntü/videoyu videoya ekleme (ads2v)
+
+## Çıktılar
+
+| Çıktı Adı | Açıklama | Veri Türü |
+|-----------|----------|-----------|
+| `positive` | Bağlam latenteri eklenmiş pozitif koşullandırma | CONDITIONING |
+| `negative` | Bağlam latenteri eklenmiş negatif koşullandırma | CONDITIONING |
+| `latent` | Belirtilen genişlik, yükseklik, uzunluk ve batch_size ile eşleşen boyutlara sahip boş latent tensör | LATENT |
+
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/tr.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/zh-TW.md b/comfyui_embedded_docs/docs/BerniniConditioning/zh-TW.md
new file mode 100644
index 000000000..3be4897c0
--- /dev/null
+++ b/comfyui_embedded_docs/docs/BerniniConditioning/zh-TW.md
@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+BerniniConditioning 節點負責為 Wan2.2-A14B 模型準備影片與影像的條件化資料。它使用提供的 VAE 對來源影片、參考影片及參考影像進行編碼，然後將其附加到條件化資料中，以執行情境內生成任務。
+
+## ## 輸入
+
+| 參數 | 說明 | 資料類型 | 必填 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `positive` | 正向條件化資料 | CONDITIONING | 是 | - |
+| `negative` | 負向條件化資料 | CONDITIONING | 是 | - |
+| `vae` | 用於編碼影片與影像輸入的 VAE 模型 | VAE | 是 | - |
+| `width` | 輸出潛在空間的寬度（預設值：832） | INT | 是 | 16 至 8192（步長：16） |
+| `height` | 輸出潛在空間的高度（預設值：480） | INT | 是 | 16 至 8192（步長：16） |
+| `length` | 輸出潛在空間的影格數（預設值：81） | INT | 是 | 1 至 8192（步長：4） |
+| `batch_size` | 單一批次中生成的影片數量（預設值：1） | INT | 是 | 1 至 4096 |
+| `source_video` | 要編輯或重新風格的來源影片（v2v, rv2v）。會調整為指定的寬度/高度，並裁剪至指定長度。 | IMAGE | 否 | - |
+| `reference_video` | 要插入來源影片中的影片（ads2v）。 | IMAGE | 否 | - |
+| `reference_images` | 作為情境內標記注入的參考影像（r2v, rv2v）。最多可提供 8 張影像。 | IMAGE | 否 | 0 至 8 張影像 |
+| `ref_max_size` | 參考影片與參考影像長邊的最大尺寸。會保持長寬比進行調整，並對齊至 16 像素（預設值：848）。 | INT | 否 | 16 至 8192（步長：16） |
+
+**注意：** 任務類型會根據連接的輸入推斷：
+- 未連接任何輸入 → 文字轉影片（t2v）
+- 僅連接 `source_video` → 影片轉影片（v2v）
+- 連接 `source_video` + `reference_images` → 參考引導的影片編輯（rv2v）
+- 僅連接 `reference_images` → 參考轉影片（r2v）
+- 連接 `source_video` + `reference_video` → 將影像/影片插入影片（ads2v）
+
+## ## 輸出
+
+| 輸出名稱 | 說明 | 資料類型 |
+|-------------|-------------|-----------|
+| `positive` | 附加了情境潛在空間的正向條件化資料 | CONDITIONING |
+| `negative` | 附加了情境潛在空間的負向條件化資料 | CONDITIONING |
+| `latent` | 空的潛在空間張量，其維度符合指定的寬度、高度、長度與批次大小 | LATENT |
+
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/zh-TW.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BerniniConditioning/zh.md b/comfyui_embedded_docs/docs/BerniniConditioning/zh.md
new file mode 100644
index 000000000..6f4dbf102
--- /dev/null
+++ b/comfyui_embedded_docs/docs/BerniniConditioning/zh.md
@@ -0,0 +1,39 @@
+# BerniniConditioning
+
+BerniniConditioning 节点为 Wan2.2-A14B 模型准备视频和图像条件数据。它使用提供的 VAE 对源视频、参考视频和参考图像进行编码，然后将它们附加到条件数据中，用于上下文生成任务。
+
+## ## 输入
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `positive` | 正向条件数据 | CONDITIONING | 是 | - |
+| `negative` | 负向条件数据 | CONDITIONING | 是 | - |
+| `vae` | 用于编码视频和图像输入的 VAE 模型 | VAE | 是 | - |
+| `width` | 输出潜变量的宽度（默认值：832） | INT | 是 | 16 至 8192（步长：16） |
+| `height` | 输出潜变量的高度（默认值：480） | INT | 是 | 16 至 8192（步长：16） |
+| `length` | 输出潜变量的帧数（默认值：81） | INT | 是 | 1 至 8192（步长：4） |
+| `batch_size` | 单批次生成的视频数量（默认值：1） | INT | 是 | 1 至 4096 |
+| `source_video` | 要编辑或重新造型的源视频（v2v, rv2v）。会调整至 width/height 尺寸并裁剪至 length 长度。 | IMAGE | 否 | - |
+| `reference_video` | 要插入到源视频中的视频（ads2v）。 | IMAGE | 否 | - |
+| `reference_images` | 作为上下文令牌注入的参考图像（r2v, rv2v）。最多可提供 8 张图像。 | IMAGE | 否 | 0 至 8 张图像 |
+| `ref_max_size` | reference_video 和 reference_images 长边的最大尺寸。按比例调整大小并对齐至 16px（默认值：848）。 | INT | 否 | 16 至 8192（步长：16） |
+
+**注意：** 任务类型根据连接的输入推断：
+- 未连接任何输入 → 文本到视频（t2v）
+- 仅连接 `source_video` → 视频到视频（v2v）
+- 连接 `source_video` + `reference_images` → 参考引导的视频编辑（rv2v）
+- 仅连接 `reference_images` → 参考到视频（r2v）
+- 连接 `source_video` + `reference_video` → 将图像/视频插入视频（ads2v）
+
+## ## 输出
+
+| 输出名称 | 描述 | 数据类型 |
+|-------------|-------------|-----------|
+| `positive` | 附加了上下文潜变量的正向条件数据 | CONDITIONING |
+| `negative` | 附加了上下文潜变量的负向条件数据 | CONDITIONING |
+| `latent` | 维度与指定的宽度、高度、长度和批次大小匹配的空潜变量张量 | LATENT |
+
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BerniniConditioning/zh.md)
+
+---
+**Source fingerprint (SHA-256):** `3535bbe9a1ae007dc579242b44787ab315479a820eb0da680eab9b870ab60699`
diff --git a/comfyui_embedded_docs/docs/BriaImageEditNode/en.md b/comfyui_embedded_docs/docs/BriaImageEditNode/en.md
index 2b7a6dab4..8ad679f9c 100644
--- a/comfyui_embedded_docs/docs/BriaImageEditNode/en.md
+++ b/comfyui_embedded_docs/docs/BriaImageEditNode/en.md
@@ -1,34 +1,35 @@
+# Bria FIBO Image Edit Node
+
The Bria FIBO Image Edit node allows you to modify an existing image using a text instruction. It sends the image and your prompt to the Bria API, which uses the FIBO model to generate a new, edited version of the image based on your request. You can also provide a mask to limit the edits to a specific area.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The model version to use for image editing. | COMBO | Yes | `"FIBO"` |
| `image` | The input image you want to edit. | IMAGE | Yes | - |
-| `prompt` | The text instruction describing how to edit the image (default: empty). | STRING | No | - |
+| `prompt` | Instruction to edit image (default: empty). | STRING | No | - |
| `negative_prompt` | Text describing what you do not want to appear in the edited image (default: empty). | STRING | No | - |
| `structured_prompt` | A string containing the structured edit prompt in JSON format. Use this instead of the usual prompt for precise, programmatic control (default: empty). | STRING | No | - |
| `seed` | A number used to initialize the random generation, ensuring reproducible results (default: 1). | INT | Yes | 1 to 2147483647 |
-| `guidance_scale` | Controls how closely the generated image follows the prompt. A higher value results in stronger adherence (default: 3.0). | FLOAT | Yes | 3.0 to 5.0 |
+| `guidance_scale` | Higher value makes the image follow the prompt more closely (default: 3.0). | FLOAT | Yes | 3.0 to 5.0 |
| `steps` | The number of denoising steps the model will perform (default: 50). | INT | Yes | 20 to 50 |
-| `moderation` | Enables or disables content moderation. Selecting `"true"` reveals additional moderation options for prompt content, visual input, and visual output. | DYNAMICCOMBO | Yes | `"false"`
`"true"` |
-| `mask` | An optional mask image. If provided, edits will only be applied to the masked areas of the image. | MASK | No | - |
+| `moderation` | Moderation settings. Selecting `"true"` reveals additional moderation options for prompt content, visual input, and visual output. | DYNAMICCOMBO | Yes | `"false"`
`"true"` |
+| `mask` | If omitted, the edit applies to the entire image. | MASK | No | - |
**Important Constraints:**
-* You must provide at least one of the `prompt` or `structured_prompt` inputs. They cannot both be empty.
-* Exactly one input `image` is required.
-* When the `moderation` parameter is set to `"true"`, three additional boolean inputs become available: `prompt_content_moderation` (default: false), `visual_input_moderation` (default: false), and `visual_output_moderation` (default: true).
+- You must provide at least one of the `prompt` or `structured_prompt` inputs. They cannot both be empty.
+- When the `moderation` parameter is set to `"true"`, three additional boolean inputs become available: `prompt_content_moderation` (default: false), `visual_input_moderation` (default: false), and `visual_output_moderation` (default: true).
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `IMAGE` | The edited image returned by the Bria API. | IMAGE |
| `structured_prompt` | The structured prompt that was used or generated during the editing process. | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaImageEditNode/en.md)
---
-**Source fingerprint (SHA-256):** `60a5f42392ba803380695f036f78d4b88436b3d216aea381b2e3c13eeb5c5456`
+**Source fingerprint (SHA-256):** `e66aaa563a82407408f25b289011a491c8b158822fc2db8912daf73731750081`
diff --git a/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md b/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md
index 8dfad89bd..55121bd66 100644
--- a/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md
+++ b/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md
@@ -1,24 +1,26 @@
+# Bria Remove Image Background
+
This node removes the background from an image using the Bria RMBG 2.0 service. It sends the image to an external API for processing and returns the result with the background removed.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image from which the background will be removed. | IMAGE | Yes | - |
| `moderation` | Moderation settings. When set to `"true"`, additional moderation options become available. | COMBO | No | `"false"`
`"true"` |
| `visual_input_moderation` | Enables visual content moderation on the input image. This parameter is only available when `moderation` is set to `"true"`. Default: `False`. | BOOLEAN | No | - |
| `visual_output_moderation` | Enables visual content moderation on the output image. This parameter is only available when `moderation` is set to `"true"`. Default: `True`. | BOOLEAN | No | - |
-| `seed` | A seed value that controls whether the node should re-run. The results are non-deterministic regardless of the seed value. Default: `0`. | INT | No | 0 to 2147483647 |
+| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. Default: `0`. | INT | No | 0 to 2147483647 |
-**Note:** The `visual_input_moderation` and `visual_output_moderation` parameters are dependent on the `moderation` parameter. They are only active and required if `moderation` is set to `"true"`.
+**Note:** The `visual_input_moderation` and `visual_output_moderation` parameters are dependent on the `moderation` parameter. They are only active when `moderation` is set to `"true"`.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The processed image with its background removed. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveImageBackground/en.md)
---
-**Source fingerprint (SHA-256):** `ba1626cbe1a98eb0b20d10a2857307b7589e05ea9f39564273dbb6ceeb8b2d41`
+**Source fingerprint (SHA-256):** `f62dcd5c9406ec09f5aab44585dd7f25ae0f7d9a934faa10a58e46ef116df110`
diff --git a/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md b/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md
index 3355f8274..140fb0729 100644
--- a/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md
+++ b/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md
@@ -1,22 +1,24 @@
+# Bria Remove Video Background
+
This node removes the background from a video using the Bria AI service. It processes the input video and replaces the original background with a solid color of your choice. The operation is performed via an external API, and the result is returned as a new video file.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `video` | The input video file from which the background will be removed. | VIDEO | Yes | N/A |
-| `background_color` | The solid color to use as the new background for the output video. | STRING | Yes | `"Black"`
`"White"`
`"Gray"`
`"Red"`
`"Green"`
`"Blue"`
`"Yellow"`
`"Cyan"`
`"Magenta"`
`"Orange"` |
-| `seed` | A seed value that controls whether the node should re-run. The results are non-deterministic regardless of the seed value. (default: 0) | INT | No | 0 to 2147483647 |
+| `background_color` | Background color for the output video. | STRING | Yes | `"Black"`
`"White"`
`"Gray"`
`"Red"`
`"Green"`
`"Blue"`
`"Yellow"`
`"Cyan"`
`"Magenta"`
`"Orange"` |
+| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | No | 0 to 2147483647 |
**Note:** The input video must have a duration of 60 seconds or less.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The processed video file with the background removed and replaced by the selected color. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaRemoveVideoBackground/en.md)
---
-**Source fingerprint (SHA-256):** `bfff6362ab9c6664b7240926c4b84c7a1c05fd5ab450cf240a46db16e70cc6f7`
+**Source fingerprint (SHA-256):** `7a6b357f104b14cce55f68a84b07970566db8c835703dd2fd6ca7d3216dec561`
diff --git a/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ar.md b/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ar.md
index 880c683fd..0ded458e8 100644
--- a/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ar.md
+++ b/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ar.md
@@ -6,9 +6,9 @@
| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
|---------|-------|---------------|---------|--------|
-| `video` | الفيديو المراد معالجته | VIDEO | نعم | ملف فيديو |
-| `green_shade` | درجة لون الكروما-كي الصلبة المطبقة خلف المقدمة: أخضر بث (#00B140)، أخضر كروما (#00FF00)، أو شاشة زرقاء (#0000FF) | STRING | نعم | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` |
-| `seed` | يتحكم البذرة فيما إذا كانت العقدة ستعيد التشغيل؛ النتائج غير حتمية بغض النظر عن البذرة (الافتراضي: 0) | INT | نعم | 0 إلى 2147483647 |
+| `فيديو` | الفيديو المراد معالجته | VIDEO | نعم | ملف فيديو |
+| `درجة اللون الأخضر` | درجة لون الكروما-كي الصلبة المطبقة خلف المقدمة: أخضر بث (#00B140)، أخضر كروما (#00FF00)، أو شاشة زرقاء (#0000FF) | STRING | نعم | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` |
+| `البذرة` | يتحكم البذرة فيما إذا كانت العقدة ستعيد التشغيل؛ النتائج غير حتمية بغض النظر عن البذرة (الافتراضي: 0) | INT | نعم | 0 إلى 2147483647 |
**ملاحظة:** يجب ألا تتجاوز مدة الفيديو المُدخل 60 ثانية.
@@ -16,7 +16,7 @@
| اسم المخرج | الوصف | نوع البيانات |
|-------------|-------|---------------|
-| `video` | الفيديو المعالج مع استبدال الخلفية الأصلية بدرجة لون الكروما-كي المحددة | VIDEO |
+| `فيديو` | الفيديو المعالج مع استبدال الخلفية الأصلية بدرجة لون الكروما-كي المحددة | VIDEO |
> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ar.md)
diff --git a/comfyui_embedded_docs/docs/BriaVideoGreenScreen/fa.md b/comfyui_embedded_docs/docs/BriaVideoGreenScreen/fa.md
index fc0f73428..9d2924dc6 100644
--- a/comfyui_embedded_docs/docs/BriaVideoGreenScreen/fa.md
+++ b/comfyui_embedded_docs/docs/BriaVideoGreenScreen/fa.md
@@ -6,8 +6,8 @@
| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
|---------|---------|----------|--------|--------|
-| `video` | ویدیوی ورودی برای پردازش | VIDEO | بله | فایل ویدیویی |
-| `green_shade` | رنگ یکپارچه کروماکی که در پشت سوژه قرار میگیرد: broadcast_green (#00B140)، chroma_green (#00FF00) یا blue_screen (#0000FF) | STRING | بله | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` |
+| `ویدیو` | ویدیوی ورودی برای پردازش | VIDEO | بله | فایل ویدیویی |
+| `سایه سبز` | رنگ یکپارچه کروماکی که در پشت سوژه قرار میگیرد: broadcast_green (#00B140)، chroma_green (#00FF00) یا blue_screen (#0000FF) | STRING | بله | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` |
| `seed` | دانه (seed) کنترل میکند که گره دوباره اجرا شود یا خیر؛ نتایج بدون توجه به دانه غیرقطعی هستند (پیشفرض: 0) | INT | بله | 0 تا 2147483647 |
**نکته:** مدت زمان ویدیوی ورودی نباید از 60 ثانیه تجاوز کند.
@@ -16,7 +16,7 @@
| نام خروجی | توضیحات | نوع داده |
|-----------|---------|----------|
-| `video` | ویدیوی پردازششده با پسزمینه اصلی که با رنگ کروماکی انتخابشده جایگزین شده است | VIDEO |
+| `ویدیو` | ویدیوی پردازششده با پسزمینه اصلی که با رنگ کروماکی انتخابشده جایگزین شده است | VIDEO |
> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaVideoGreenScreen/fa.md)
diff --git a/comfyui_embedded_docs/docs/BriaVideoGreenScreen/fr.md b/comfyui_embedded_docs/docs/BriaVideoGreenScreen/fr.md
index f0a47e7b6..387bf66a7 100644
--- a/comfyui_embedded_docs/docs/BriaVideoGreenScreen/fr.md
+++ b/comfyui_embedded_docs/docs/BriaVideoGreenScreen/fr.md
@@ -6,9 +6,9 @@ Ce nœud remplace l'arrière-plan d'une vidéo par un écran de fond vert unicol
| Paramètre | Description | Type de données | Requis | Plage |
|-----------|-------------|-----------------|--------|-------|
-| `video` | La vidéo d'entrée à traiter | VIDEO | Oui | Fichier vidéo |
-| `green_shade` | Teinte de fond vert unicolore appliquée derrière le premier plan : broadcast_green (#00B140), chroma_green (#00FF00) ou blue_screen (#0000FF) | STRING | Oui | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` |
-| `seed` | La graine contrôle si le nœud doit être réexécuté ; les résultats ne sont pas déterministes quelle que soit la graine (valeur par défaut : 0) | INT | Oui | 0 à 2147483647 |
+| `vidéo` | La vidéo d'entrée à traiter | VIDEO | Oui | Fichier vidéo |
+| `teinte verte` | Teinte de fond vert unicolore appliquée derrière le premier plan : broadcast_green (#00B140), chroma_green (#00FF00) ou blue_screen (#0000FF) | STRING | Oui | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` |
+| `graine` | La graine contrôle si le nœud doit être réexécuté ; les résultats ne sont pas déterministes quelle que soit la graine (valeur par défaut : 0) | INT | Oui | 0 à 2147483647 |
**Remarque :** La vidéo d'entrée ne doit pas dépasser 60 secondes de durée.
@@ -16,7 +16,7 @@ Ce nœud remplace l'arrière-plan d'une vidéo par un écran de fond vert unicol
| Nom de sortie | Description | Type de données |
|---------------|-------------|-----------------|
-| `video` | La vidéo traitée dont l'arrière-plan d'origine a été remplacé par la teinte de fond vert unicolore sélectionnée | VIDEO |
+| `vidéo` | La vidéo traitée dont l'arrière-plan d'origine a été remplacé par la teinte de fond vert unicolore sélectionnée | VIDEO |
> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaVideoGreenScreen/fr.md)
diff --git a/comfyui_embedded_docs/docs/BriaVideoGreenScreen/pt-BR.md b/comfyui_embedded_docs/docs/BriaVideoGreenScreen/pt-BR.md
index 30a4b7559..1f0811dd0 100644
--- a/comfyui_embedded_docs/docs/BriaVideoGreenScreen/pt-BR.md
+++ b/comfyui_embedded_docs/docs/BriaVideoGreenScreen/pt-BR.md
@@ -6,9 +6,9 @@ Este nó substitui o fundo de um vídeo por uma tela sólida de chroma-key usand
| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Intervalo |
|-----------|-----------|--------------|-------------|-----------|
-| `video` | O vídeo de entrada a ser processado | VIDEO | Sim | Arquivo de vídeo |
-| `green_shade` | Tom sólido de chroma-key aplicado atrás do primeiro plano: broadcast_green (#00B140), chroma_green (#00FF00) ou blue_screen (#0000FF) | STRING | Sim | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` |
-| `seed` | A semente controla se o nó deve ser executado novamente; os resultados são não determinísticos independentemente da semente (padrão: 0) | INT | Sim | 0 a 2147483647 |
+| `vídeo` | O vídeo de entrada a ser processado | VIDEO | Sim | Arquivo de vídeo |
+| `tom_de_verde` | Tom sólido de chroma-key aplicado atrás do primeiro plano: broadcast_green (#00B140), chroma_green (#00FF00) ou blue_screen (#0000FF) | STRING | Sim | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` |
+| `semente` | A semente controla se o nó deve ser executado novamente; os resultados são não determinísticos independentemente da semente (padrão: 0) | INT | Sim | 0 a 2147483647 |
**Observação:** O vídeo de entrada não deve exceder 60 segundos de duração.
@@ -16,7 +16,7 @@ Este nó substitui o fundo de um vídeo por uma tela sólida de chroma-key usand
| Nome da Saída | Descrição | Tipo de Dado |
|---------------|-----------|--------------|
-| `video` | O vídeo processado com o fundo original substituído pelo tom de chroma-key selecionado | VIDEO |
+| `vídeo` | O vídeo processado com o fundo original substituído pelo tom de chroma-key selecionado | VIDEO |
> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaVideoGreenScreen/pt-BR.md)
diff --git a/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ru.md b/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ru.md
index cc6a34b71..292bb8c9f 100644
--- a/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ru.md
+++ b/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ru.md
@@ -6,8 +6,8 @@
| Параметр | Описание | Тип данных | Обязательный | Диапазон |
|----------|----------|------------|--------------|----------|
-| `video` | Входное видео для обработки | VIDEO | Да | Видеофайл |
-| `green_shade` | Сплошной оттенок хромакея, накладываемый на передний план: broadcast_green (#00B140), chroma_green (#00FF00) или blue_screen (#0000FF) | STRING | Да | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` |
+| `видео` | Входное видео для обработки | VIDEO | Да | Видеофайл |
+| `оттенок зелёного` | Сплошной оттенок хромакея, накладываемый на передний план: broadcast_green (#00B140), chroma_green (#00FF00) или blue_screen (#0000FF) | STRING | Да | `"broadcast_green"`
`"chroma_green"`
`"blue_screen"` |
| `seed` | Seed управляет повторным запуском узла; результаты недетерминированы независимо от seed (по умолчанию: 0) | INT | Да | от 0 до 2147483647 |
**Примечание:** Длительность входного видео не должна превышать 60 секунд.
@@ -16,7 +16,7 @@
| Имя выхода | Описание | Тип данных |
|------------|----------|------------|
-| `video` | Обработанное видео, в котором исходный фон заменен выбранным оттенком хромакея | VIDEO |
+| `видео` | Обработанное видео, в котором исходный фон заменен выбранным оттенком хромакея | VIDEO |
> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/BriaVideoGreenScreen/ru.md)
diff --git a/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md
index adef7e2e4..cb43ff22d 100644
--- a/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md
@@ -1,29 +1,33 @@
-This node uses ByteDance's Seedance 2.0 model to generate a video. It creates the video based on a text prompt and a required first frame image. You can optionally provide a last frame image to guide the ending of the video sequence.
+# ByteDance Seedance 2.0 First-Last-Frame to Video
+
+This node uses ByteDance's Seedance 2.0 model to generate a video from a required first frame image and an optional last frame image. It creates the video based on a text prompt and the provided frames, with the first frame guiding the start and the last frame guiding the end of the video sequence.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The model to use for video generation. Seedance 2.0 is for maximum quality, while Seedance 2.0 Fast is optimized for speed. Selecting a model will reveal additional inputs for `prompt`, `resolution`, `ratio`, `duration`, and `generate_audio`. | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` |
| `first_frame` | The image to use as the first frame of the video. | IMAGE | No | - |
| `last_frame` | The image to use as the last frame of the video. | IMAGE | No | - |
| `first_frame_asset_id` | A Seedance asset_id to use as the first frame. This cannot be used at the same time as the `first_frame` image input. Default is an empty string. | STRING | No | - |
| `last_frame_asset_id` | A Seedance asset_id to use as the last frame. This cannot be used at the same time as the `last_frame` image input. Default is an empty string. | STRING | No | - |
-| `seed` | A seed value. Changing this seed will cause the node to re-run, but the results are non-deterministic. Default is 0. | INT | No | 0 to 2147483647 |
+| `seed` | A seed value. Changing this seed will cause the node to re-run, but the results are non-deterministic regardless of seed value. Default is 0. | INT | No | 0 to 2147483647 |
| `watermark` | Whether to add a watermark to the generated video. Default is False. | BOOLEAN | No | - |
**Parameter Constraints:**
* You must provide **either** a `first_frame` image **or** a `first_frame_asset_id`. Providing both will cause an error.
+* You must provide at least one of `first_frame` or `first_frame_asset_id` — at least one is required.
* You cannot provide both a `last_frame` image and a `last_frame_asset_id` for the same frame.
* The `model` input is a dynamic combo. After selecting a model, you must also fill in the revealed `prompt` field (a text description) and configure the other revealed parameters (`resolution`, `ratio`, `duration`, `generate_audio`).
+* When using local image inputs (not asset IDs), the images must have an aspect ratio between 0.4 and 2.5, and minimum dimensions of 300x300 pixels.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2FirstLastFrameNode/en.md)
---
-**Source fingerprint (SHA-256):** `434d6ad8f005515677b0de73b57df916aa589adff94aad892827202e6ebcb6e1`
+**Source fingerprint (SHA-256):** `74953cfc8f474a1b5ba7e4765682fd86693e43df87ba59e6d3e615e51293ab07`
diff --git a/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md b/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md
index c39c7d531..dc7c35706 100644
--- a/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md
@@ -1,28 +1,30 @@
-The ByteDance Seedance 2.0 Reference to Video node uses the Seedance 2.0 AI model to create, edit, or extend videos based on your text prompt and provided reference materials. It can use images, videos, and audio as references to guide the generation process, supporting tasks like video editing and extension.
+# ByteDance Seedance 2.0 Reference to Video Node
+
+The ByteDance Seedance 2.0 Reference to Video node uses the Seedance 2.0 AI model to create, edit, or extend videos based on your text prompt and provided reference materials. It can use images, videos, and audio as references to guide the generation process, supporting tasks like video editing and video extension.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The AI model to use. Seedance 2.0 is for maximum quality, while Seedance 2.0 Fast is optimized for speed. Selecting a model reveals additional required inputs for `prompt`, `resolution`, `duration`, `ratio`, `generate_audio`, and optional inputs for `reference_images`, `reference_videos`, `reference_audios`, `reference_assets`, and `auto_downscale`. | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` |
| `seed` | A number used to control whether the node should re-run. The results are non-deterministic regardless of the seed value (default: 0). | INT | No | 0 to 2147483647 |
| `watermark` | Whether to add a watermark to the generated video (default: False). | BOOLEAN | No | `True` / `False` |
**Important Constraints:**
-* At least one reference image or video (provided via the `reference_images`, `reference_videos`, or `reference_assets` inputs) is required for the node to work.
-* A maximum of 9 reference images can be used in total (including those from `reference_images` and `reference_assets`).
-* A maximum of 3 reference videos can be used in total (including those from `reference_videos` and `reference_assets`).
-* A maximum of 3 reference audio clips can be used in total (including those from `reference_audios` and `reference_assets`).
-* Each reference video must be at least 1.8 seconds long. The combined duration of all reference videos cannot exceed 15.1 seconds.
-* Each reference audio clip must be at least 1.8 seconds long. The combined duration of all reference audio cannot exceed 15.1 seconds.
+* At least one reference image or video (provided via the `reference_images`, `reference_videos`, or `reference_assets` inputs) is required for the node to work.
+* A maximum of 9 reference images can be used in total (including those from `reference_images` and `reference_assets`).
+* A maximum of 3 reference videos can be used in total (including those from `reference_videos` and `reference_assets`).
+* A maximum of 3 reference audio clips can be used in total (including those from `reference_audios` and `reference_assets`).
+* Each reference video must be at least 1.8 seconds long. The combined duration of all reference videos cannot exceed 15.1 seconds.
+* Each reference audio clip must be at least 1.8 seconds long. The combined duration of all reference audio cannot exceed 15.1 seconds.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2ReferenceNode/en.md)
---
-**Source fingerprint (SHA-256):** `4420682a5c2773ce1b4df2f4c9537754ec90ad8411d6332fa38d48f5ea88d66f`
+**Source fingerprint (SHA-256):** `434b22e9d08b56583db6e35cea2b0348cd758f60acf218838277c97f05910a27`
diff --git a/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md b/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md
index 682314d32..deb9b4d60 100644
--- a/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md
@@ -1,22 +1,24 @@
+# ByteDance Seedance 2.0 Text to Video
+
This node uses ByteDance's Seedance 2.0 API to generate a video from a text description. It sends your prompt to the selected model, waits for the video to be processed, and returns the final result.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The model to use for video generation. Selecting a model will reveal additional required inputs for the prompt, resolution, aspect ratio, duration, and audio generation. "Seedance 2.0" is for maximum quality; "Seedance 2.0 Fast" is for speed optimization. | COMBO | Yes | `"Seedance 2.0"`
`"Seedance 2.0 Fast"` |
| `seed` | A seed value (default: 0). The node will re-run if this value changes, but the results are non-deterministic regardless of the seed. | INT | No | 0 to 2147483647 |
| `watermark` | Whether to add a watermark to the video (default: False). This is an advanced setting. | BOOLEAN | No | True / False |
-**Note:** The `model` parameter is a dynamic combo. When you select a model, it will reveal several required sub-parameters that must be filled in, including the text prompt, resolution, aspect ratio, duration, and whether to generate audio. The prompt text must be at least 1 character long after removing whitespace.
+**Note:** The `model` parameter is a dynamic combo. When you select a model, it will reveal several required sub-parameters that must be filled in, including the text prompt, resolution, aspect ratio, duration, and whether to generate audio. The prompt text must be at least 1 character long after removing whitespace. The "Seedance 2.0" model supports 480p, 720p, and 1080p resolutions, while "Seedance 2.0 Fast" supports 480p and 720p resolutions.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDance2TextToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `670a35641fa421fb67ea067cdf38aff0d0fb51056ecc26485b5594e944adbbc8`
+**Source fingerprint (SHA-256):** `a540b96cf204f2af751da90cbbee30be9588069794ef833ccb0218a4ff0c2af5`
diff --git a/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md b/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md
index 1e461402a..6e49ac965 100644
--- a/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md
@@ -1,25 +1,27 @@
+# ByteDance Create Image Asset
+
This node creates a personal image asset for ByteDance's Seedance 2.0 service. It uploads an input image and registers it within a specified asset group. If no group ID is provided, it will initiate a real-person authentication process in your browser to create a new group before adding the asset.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The image to be registered as a personal asset. | IMAGE | Yes | |
| `group_id` | Reuse an existing Seedance asset group ID to skip repeated human verification for the same person. Leave empty to run real-person authentication in the browser and create a new group (default: empty). | STRING | No | |
**Image Constraints:**
-* The image width must be between 300 and 6000 pixels.
-* The image height must be between 300 and 6000 pixels.
-* The image aspect ratio must be between 0.4:1 and 2.5:1.
+- The image width must be between 300 and 6000 pixels.
+- The image height must be between 300 and 6000 pixels.
+- The image aspect ratio must be between 0.4:1 and 2.5:1.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `asset_id` | The unique identifier for the newly created image asset. | STRING |
| `group_id` | The identifier for the asset group. This will be the provided `group_id` or a newly created one. | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateImageAsset/en.md)
---
-**Source fingerprint (SHA-256):** `16e55191af67306bf995c8508f56b64491d2a107e168a3dddb4a05f3468cf103`
+**Source fingerprint (SHA-256):** `44d2bc880cbd8780ce1deb27eee5e41dc43973653751b0022a2631df725b155d`
diff --git a/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md b/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md
index 28574d2be..7d8a13176 100644
--- a/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md
@@ -1,27 +1,29 @@
+# ByteDance Create Video Asset
+
This node creates a personal video asset for Seedance 2.0. It uploads your input video and registers it within a specified asset group. If you don't provide a group ID, it will guide you through a real-person verification process in your browser to create a new group first.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `video` | Video to register as a personal asset. | VIDEO | Yes | - |
| `group_id` | Reuse an existing Seedance asset group ID to skip repeated human verification for the same person. Leave empty to run real-person authentication in the browser and create a new group. (default: empty string) | STRING | No | - |
**Video Constraints:**
-* **Duration:** Must be between 2 and 15 seconds.
-* **Dimensions:** Width and height must each be between 300 and 6000 pixels.
-* **Aspect Ratio:** The width-to-height ratio must be between 0.4 and 2.5.
-* **Total Pixels:** The total number of pixels (width × height) must be between 409,600 and 927,408.
-* **Frame Rate:** Must be between 24 and 60 frames per second (FPS).
+- **Duration:** Must be between 2 and 15 seconds.
+- **Dimensions:** Width and height must each be between 300 and 6000 pixels.
+- **Aspect Ratio:** The width-to-height ratio must be between 0.4 and 2.5.
+- **Total Pixels:** The total number of pixels (width × height) must be between 409,600 and 927,408.
+- **Frame Rate:** Must be between 24 and 60 frames per second (FPS).
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `asset_id` | The unique identifier for the newly created video asset. | STRING |
| `group_id` | The identifier of the asset group containing the new video. This will be the provided `group_id` or a newly created one. | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceCreateVideoAsset/en.md)
---
-**Source fingerprint (SHA-256):** `6598a586dae18811698bd505333ec45b7d2a60aa85728a38e5de790c5bacbdb7`
+**Source fingerprint (SHA-256):** `2c7376185f3273a80c763c2c9bd41305575b58e7902200ff77bebb609aea58b8`
diff --git a/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md
index b69bc0a48..0da796f9a 100644
--- a/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md
@@ -1,3 +1,5 @@
+# ByteDance First-Last-Frame to Video
+
This node generates a video using a text prompt along with first and last frame images. It takes your description and the two key frames to create a complete video sequence that transitions between them. The node provides various options to control the video's resolution, aspect ratio, duration, and other generation parameters.
## Inputs
@@ -25,4 +27,4 @@ This node generates a video using a text prompt along with first and last frame
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceFirstLastFrameNode/en.md)
---
-**Source fingerprint (SHA-256):** `ac16faf3aabcb06154c6a8815cc20c8a0e0c3a6b5b21e7d49813c10dce33d7be`
+**Source fingerprint (SHA-256):** `56b619d191c0a78ac51eaddf93c86f6ec85a486cc4e6d0e021c1e58b4df29189`
diff --git a/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md b/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md
index 693283d81..e52f89527 100644
--- a/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md
@@ -1,9 +1,11 @@
+# ByteDance Image Node
+
The ByteDance Image node generates images using ByteDance models through an API based on text prompts. It allows you to select a model, specify image dimensions, and control various generation parameters like seed and guidance scale. The node connects to ByteDance's image generation service and returns the created image.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The ByteDance model to use for image generation. Currently only one model option is available. | STRING | Yes | `"seedream-3-0-t2i-250415"` |
| `prompt` | The text prompt used to generate the image. Must be at least 1 character long after stripping whitespace. | STRING | Yes | - |
| `size_preset` | Pick a recommended size. Select Custom to use the width and height below. Available presets are defined by the `RECOMMENDED_PRESETS` list. | STRING | Yes | See description |
@@ -18,10 +20,10 @@ The ByteDance Image node generates images using ByteDance models through an API
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `IMAGE` | The generated image returned from the ByteDance API as a tensor. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `69c1f6fd24e6e184b1a1d785b541c8962f3751d2bbd121d6a3b105d66d58d4b1`
+**Source fingerprint (SHA-256):** `0b40c75ca43ef3cccbc644e64822f701a0d772decacd813c58d7d5ac60c230a1`
diff --git a/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md b/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md
index fb53a1f83..4b3cb692d 100644
--- a/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md
@@ -1,9 +1,11 @@
+# ByteDance Image Reference Node
+
The ByteDance Image Reference Node generates videos using a text prompt and one to four reference images. It sends the images and prompt to an external API service that creates a video matching your description while incorporating the visual style and content from your reference images. The node provides various controls for video resolution, aspect ratio, duration, and other generation parameters.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The AI model to use for video generation (default: `"seedance-1-0-lite-i2v-250428"`). | STRING | Yes | `"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"` |
| `prompt` | The text prompt used to generate the video. | STRING | Yes | - |
| `images` | One to four images. Each image must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | IMAGE | Yes | - |
@@ -18,10 +20,10 @@ The ByteDance Image Reference Node generates videos using a text prompt and one
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file based on the input prompt and reference images. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageReferenceNode/en.md)
---
-**Source fingerprint (SHA-256):** `5365f846cafc80333bc8db5bce9101d83e69f3aae1625f275de7a172623a54b9`
+**Source fingerprint (SHA-256):** `77a0f9aee920d07a1374eaec8489eed494a4505369246c16007765d67e52ef99`
diff --git a/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md b/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md
index 267585609..af3dfce6f 100644
--- a/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md
@@ -1,9 +1,11 @@
+# ByteDance Image to Video Node
+
The ByteDance Image to Video node generates videos using ByteDance models through an API based on an input image and text prompt. It takes a starting image frame and creates a video sequence that follows the provided description. The node offers various customization options for video resolution, aspect ratio, duration, and other generation parameters.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The ByteDance model to use for video generation (default: `"seedance-1-0-pro-fast-251015"`). | STRING | Yes | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-i2v-250428"`
`"seedance-1-0-pro-fast-251015"` |
| `prompt` | The text prompt used to generate the video. Must be at least 1 character long after trimming whitespace. | STRING | Yes | - |
| `image` | First frame to be used for the video. Must be between 300x300 and 6000x6000 pixels, with an aspect ratio between 0.4 and 2.5. | IMAGE | Yes | - |
@@ -20,10 +22,10 @@ The ByteDance Image to Video node generates videos using ByteDance models throug
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file based on the input image and prompt parameters. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceImageToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `7b77df4ab83ef41164eff80a4c02478d5480c9368aa67bcd624fe2f8375d6e07`
+**Source fingerprint (SHA-256):** `3f95a381c8df083ec4cb417de0146efa68c0251b14697f6cc727be66c87cc761`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md b/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md
index edacb5f81..672463499 100644
--- a/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md
@@ -1,3 +1,5 @@
+# ComfyUI Node Documentation: ByteDance Seed
+
## Overview
Generate text responses using ByteDance's Seed 2.0 models. Provide a text prompt and optionally include images or videos for multimodal context.
@@ -5,7 +7,7 @@ Generate text responses using ByteDance's Seed 2.0 models. Provide a text prompt
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text input to the model. | STRING | Yes | N/A |
| `model` | The Seed model used to generate the response. | COMBO | Yes | `"Seed 2.0 Pro"`
`"Seed 2.0 Lite"`
`"Seed 2.0 Mini"` |
| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | Yes | 0 to 2147483647 |
@@ -16,10 +18,10 @@ Generate text responses using ByteDance's Seed 2.0 models. Provide a text prompt
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated text response from the Seed model. | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedNode/en.md)
---
-**Source fingerprint (SHA-256):** `d1ef73cf72e88216d40c0cf727f90c40cf783cecabe3be0e7530fe72dba6c172`
+**Source fingerprint (SHA-256):** `676c53f00c5368e145a1241f376d2c1624a11e4c06f691c3416ae5e2e46d5c71`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md b/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md
index 1dd99a79f..4f5122ceb 100644
--- a/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md
@@ -1,13 +1,15 @@
+# ByteDance Seedream 4.5 & 5.0 Node
+
The ByteDance Seedream 4.5 & 5.0 node provides unified text-to-image generation and precise single-sentence editing capabilities at up to 4K resolution. It can create new images from text prompts or edit existing images using text instructions. The node supports both single image generation and sequential generation of multiple related images.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The Seedream model to use for generation. | STRING | Yes | "seedream 5.0 lite"
"seedream-4-5-251128"
"seedream-4-0-250828" |
| `prompt` | Text prompt for creating or editing an image. Must be at least 1 character long. | STRING | Yes | - |
| `image` | Input image(s) for image-to-image generation. Reference image(s) for single or multi-reference generation. Maximum of 14 reference images for seedream-5-0-260128, or 10 for other models. | IMAGE | No | - |
-| `size_preset` | Pick a recommended size. Select Custom to use the width and height below. Default: first preset from RECOMMENDED_PRESETS_SEEDREAM_4. | STRING | No | Multiple options available |
+| `size_preset` | Pick a recommended size. Select Custom to use the width and height below. | STRING | No | Multiple options available |
| `width` | Custom width for image. Value is working only if `size_preset` is set to `Custom`. Default: 2048. | INT | No | 1024 to 6240 (step 2) |
| `height` | Custom height for image. Value is working only if `size_preset` is set to `Custom`. Default: 2048. | INT | No | 1024 to 4992 (step 2) |
| `sequential_image_generation` | Group image generation mode. "disabled" generates a single image. "auto" lets the model decide whether to generate multiple related images (e.g., story scenes, character variations). Default: "disabled". | STRING | No | "disabled"
"auto" |
@@ -26,10 +28,10 @@ The ByteDance Seedream 4.5 & 5.0 node provides unified text-to-image generation
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `IMAGE` | Generated image(s) based on the input parameters and prompt. Returns a single image tensor or a batch of image tensors if multiple images are generated. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNode/en.md)
---
-**Source fingerprint (SHA-256):** `daddffc265ab7b24746337825239c25b633a923804b6e5ad11149aea15772a7f`
+**Source fingerprint (SHA-256):** `942c75386abd5f2f352b584b51b0f9adbf2ccba2829ee8072173bdc1a407543f`
diff --git a/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md b/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md
index 31e8b1a26..c5e50616a 100644
--- a/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md
@@ -1,11 +1,11 @@
-## Overview
+# ByteDance Seedream 4.5 & 5.0 Node
This node generates or edits images using ByteDance's Seedream models (versions 4.0, 4.5, and 5.0 Lite). It can create new images from a text prompt or edit existing images by providing reference images, supporting resolutions up to 4K.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text prompt for creating or editing an image. | STRING | Yes | N/A |
| `model` | The Seedream model version to use for generation. Each model has different capabilities and pricing. | COMBO | Yes | `"seedream 5.0 lite"`
`"seedream-4-5-251128"`
`"seedream-4-0-250828"` |
| `seed` | Seed to use for generation (default: 0). | INT | No | 0 to 2147483647 |
@@ -37,10 +37,10 @@ When you select a model, additional parameters become available:
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The generated or edited image as a tensor. If multiple images were requested, they are concatenated into a single batch. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceSeedreamNodeV2/en.md)
---
-**Source fingerprint (SHA-256):** `6a98d2c1f1e73e304970115bc6dd3ea24ca3cdf440803eed862b7a1ea8d394ce`
+**Source fingerprint (SHA-256):** `a5d58211c716f916b7920ee454d3f2aa3e2af6de666e783bb25d44700ba83569`
diff --git a/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md b/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md
index 78f28a5d7..0ad2f30d6 100644
--- a/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md
@@ -1,9 +1,11 @@
+# ByteDance Text to Video Node
+
The ByteDance Text to Video node generates videos using ByteDance models through an API based on text prompts. It takes a text description and various video settings as input, then creates a video that matches the provided specifications. The node handles the API communication and returns the generated video as output.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The ByteDance model to use for generation (default: `"seedance-1-0-pro-fast-251015"`). | STRING | Yes | `"seedance-1-5-pro-251215"`
`"seedance-1-0-pro-250528"`
`"seedance-1-0-lite-t2v-250428"`
`"seedance-1-0-pro-fast-251015"` |
| `prompt` | The text prompt used to generate the video. | STRING | Yes | - |
| `resolution` | The resolution of the output video. | STRING | Yes | `"480p"`
`"720p"`
`"1080p"` |
@@ -25,10 +27,10 @@ The ByteDance Text to Video node generates videos using ByteDance models through
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ByteDanceTextToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `a16c07e920a0e96e3e14eec33e5b4e3393e924970528365b326ef32887d64766`
+**Source fingerprint (SHA-256):** `b3c0de590278ebc95ff1f965f97b6c347cd507ee0900b0f9ce2acc1bf9af78b4`
diff --git a/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md b/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md
index 45108c7fa..dab632afe 100644
--- a/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md
+++ b/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md
@@ -1,24 +1,27 @@
+# ChromaRadianceOptions
+
The ChromaRadianceOptions node allows you to configure advanced settings for the Chroma Radiance model. It wraps an existing model and applies specific options during the denoising process based on sigma values, enabling fine-tuned control over NeRF tile size and other radiance-related parameters.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The model to apply Chroma Radiance options to | MODEL | Yes | - |
| `preserve_wrapper` | When enabled, will delegate to an existing model function wrapper if it exists. Generally should be left enabled. (default: True) | BOOLEAN | No | - |
| `start_sigma` | First sigma that these options will be in effect. (default: 1.0) | FLOAT | No | 0.0 to 1.0 |
| `end_sigma` | Last sigma that these options will be in effect. (default: 0.0) | FLOAT | No | 0.0 to 1.0 |
| `nerf_tile_size` | Allows overriding the default NeRF tile size. -1 means use the default (32). 0 means use non-tiling mode (may require a lot of VRAM). (default: -1) | INT | No | -1 and above |
+| `force_sequential_txt_ids` | Force usage of sequential text token IDs instead of zeroes. Should be used for checkpoints from 2026-05-22 to 2026-06-01 that are trained in this way but do not contain the __sequential__ key in the state dict. (default: False) | BOOLEAN | No | - |
-**Note:** The Chroma Radiance options only take effect when the current sigma value falls between `end_sigma` and `start_sigma` (inclusive). The `nerf_tile_size` parameter is only applied when set to 0 or higher values.
+**Note:** The Chroma Radiance options only take effect when the current sigma value falls between `end_sigma` and `start_sigma` (inclusive). The `nerf_tile_size` parameter is only applied when set to 0 or higher values. The `force_sequential_txt_ids` parameter is only applied when set to True.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model` | The modified model with Chroma Radiance options applied | MODEL |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ChromaRadianceOptions/en.md)
---
-**Source fingerprint (SHA-256):** `34e17791e3675c59b4a15b007e853eedcfa0cbbb975fb2f5e71d1115eb2b8781`
+**Source fingerprint (SHA-256):** `4c93e4809e2948d633ccfc00460de470bdb125f7a2e9c3407f7dda178dd899b5`
diff --git a/comfyui_embedded_docs/docs/ClaudeNode/en.md b/comfyui_embedded_docs/docs/ClaudeNode/en.md
index 6b679bcba..d14374843 100644
--- a/comfyui_embedded_docs/docs/ClaudeNode/en.md
+++ b/comfyui_embedded_docs/docs/ClaudeNode/en.md
@@ -1,3 +1,5 @@
+# ComfyUI Node Documentation
+
## Overview
Generate text responses from an Anthropic Claude model. This node sends a text prompt and optional images to a Claude model and returns the generated text response.
@@ -5,7 +7,7 @@ Generate text responses from an Anthropic Claude model. This node sends a text p
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text input to the model. (default: empty string) | STRING | Yes | N/A |
| `model` | The Claude model used to generate the response. | COMBO | Yes | `"Opus 4.7"`
`"Opus 4.6"`
`"Sonnet 4.6"`
`"Sonnet 4.5"`
`"Haiku 4.5"` |
| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | Yes | 0 to 2147483647 |
@@ -21,10 +23,10 @@ Generate text responses from an Anthropic Claude model. This node sends a text p
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated text response from the Claude model. Returns "Empty response from Claude model." if no text is generated. | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ClaudeNode/en.md)
---
-**Source fingerprint (SHA-256):** `e3bab004535d4d406582aa42f28bb64a2988f8331788d51ec1fa4e943d8d4382`
+**Source fingerprint (SHA-256):** `70fad3044edf9d1bc7cc82f3f6d89ca2d24857b039b829e7cc81265a7670430c`
diff --git a/comfyui_embedded_docs/docs/ClipLoader/en.md b/comfyui_embedded_docs/docs/ClipLoader/en.md
index 91ef0ef62..f0cc88a4b 100755
--- a/comfyui_embedded_docs/docs/ClipLoader/en.md
+++ b/comfyui_embedded_docs/docs/ClipLoader/en.md
@@ -1,11 +1,13 @@
+# CLIPLoader
+
The CLIPLoader node loads a text encoder model (CLIP, T5, or similar) from a file, making it available for use in other nodes that need to convert text prompts into numerical representations. It supports a wide variety of model architectures, each requiring a specific encoder type.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `clip_name` | The filename of the text encoder model to load. This must be a file located in the `ComfyUI/models/text_encoders/` or `ComfyUI/models/clip/` directory. | STRING | Yes | List of files found in the `text_encoders` folder |
-| `type` | The architecture type of the model being loaded. This determines which specific encoder variant to use. The default is `"stable_diffusion"`. | STRING | Yes | `"stable_diffusion"`
`"stable_cascade"`
`"sd3"`
`"stable_audio"`
`"mochi"`
`"ltxv"`
`"pixart"`
`"cosmos"`
`"lumina2"`
`"wan"`
`"hidream"`
`"chroma"`
`"ace"`
`"omnigen2"`
`"qwen_image"`
`"hunyuan_image"`
`"flux2"`
`"ovis"`
`"longcat_image"`
`"cogvideox"` |
+|-----------|-------------|-----------|----------|-------|
+| `clip_name` | The filename of the text encoder model to load. This must be a file located in the `ComfyUI/models/text_encoders/` directory. | STRING | Yes | List of files found in the `text_encoders` folder |
+| `type` | The architecture type of the model being loaded. This determines which specific encoder variant to use (default: `"stable_diffusion"`). | STRING | Yes | `"stable_diffusion"`
`"stable_cascade"`
`"sd3"`
`"stable_audio"`
`"mochi"`
`"ltxv"`
`"pixart"`
`"cosmos"`
`"lumina2"`
`"wan"`
`"hidream"`
`"chroma"`
`"ace"`
`"omnigen2"`
`"qwen_image"`
`"hunyuan_image"`
`"flux2"`
`"ovis"`
`"longcat_image"`
`"cogvideox"`
`"lens"`
`"pixeldit"`
`"ideogram4"` |
| `device` | The device to load the model onto. `"default"` uses the GPU if available, while `"cpu"` forces CPU loading. This is an advanced option (default: `"default"`). | STRING | No | `"default"`
`"cpu"` |
### Supported Type-to-Encoder Mappings
@@ -25,14 +27,16 @@ The `type` parameter selects the correct encoder for a given model architecture.
| wan | umt5 xxl |
| hidream | llama-3.1 (recommended) or t5 |
| omnigen2 | qwen vl 2.5 3B |
+| lens | gpt-oss-20b |
+| pixeldit | gemma 2 2B elm |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `clip` | The loaded text encoder model, ready to be connected to other nodes for text encoding and conditioning. | CLIP |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CLIPLoader/en.md)
---
-**Source fingerprint (SHA-256):** `1051bfe5570dff81719682cb09938bae4c03e94e0e72f7a2be84867cccb48017`
+**Source fingerprint (SHA-256):** `c6101104b4616b867ad228142bd758d1a3efa6c28deaf609a8d7bccdf8b2a6be`
diff --git a/comfyui_embedded_docs/docs/ColorToRGBInt/ar.md b/comfyui_embedded_docs/docs/ColorToRGBInt/ar.md
index 5ecd34bc1..bd361ad21 100644
--- a/comfyui_embedded_docs/docs/ColorToRGBInt/ar.md
+++ b/comfyui_embedded_docs/docs/ColorToRGBInt/ar.md
@@ -12,7 +12,7 @@
| اسم المخرج | الوصف | نوع البيانات |
| --- | --- | --- |
-| `rgb_int` | قيمة RGB الصحيحة المحسوبة. يتم اشتقاقها من المعادلة: `(الأحمر * 65536) + (الأخضر * 256) + الأزرق`. | INT |
+| `سداسي عشري` | قيمة RGB الصحيحة المحسوبة. يتم اشتقاقها من المعادلة: `(الأحمر * 65536) + (الأخضر * 256) + الأزرق`. | INT |
> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/ar.md)
diff --git a/comfyui_embedded_docs/docs/ColorToRGBInt/en.md b/comfyui_embedded_docs/docs/ColorToRGBInt/en.md
index f39548cd0..4180e2170 100644
--- a/comfyui_embedded_docs/docs/ColorToRGBInt/en.md
+++ b/comfyui_embedded_docs/docs/ColorToRGBInt/en.md
@@ -1,9 +1,11 @@
-The **ColorToRGBInt** node converts a color specified in hexadecimal format (like `#FF5733`) into a single integer value. It takes the red, green, and blue components from the color string and combines them into one RGB integer.
+# ColorToRGBInt
+
+The **ColorToRGBInt** node converts a color specified in hexadecimal format (like `#FF5733`) into a single integer value. It takes the red, green, and blue components from the color string and combines them into one RGB integer, while also returning the original hexadecimal representation.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `color` | A color value in the hexadecimal format `#RRGGBB`. Must be exactly 7 characters long and start with `#`. | STRING | Yes | N/A |
**Note:** The input `color` string must follow the format `#RRGGBB` exactly. If the string is not 7 characters long or does not start with `#`, the node will raise an error.
@@ -11,10 +13,11 @@ The **ColorToRGBInt** node converts a color specified in hexadecimal format (lik
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `rgb_int` | The calculated RGB integer value. This is derived from the formula: `(Red * 65536) + (Green * 256) + Blue`. | INT |
+| `hex` | The original hexadecimal color string in the format `#RRGGBB`. | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/en.md)
---
-**Source fingerprint (SHA-256):** `afbbdddb59eddf9e2cc8ab51765affff1676a589c2a2989ff90038ad0119dc9f`
+**Source fingerprint (SHA-256):** `7ab6b8452b71d47e5b38d75c9b60d90d73c6b24e02d2c7d3694e05e1b2818edc`
diff --git a/comfyui_embedded_docs/docs/ColorToRGBInt/es.md b/comfyui_embedded_docs/docs/ColorToRGBInt/es.md
index 4e9128115..681590360 100644
--- a/comfyui_embedded_docs/docs/ColorToRGBInt/es.md
+++ b/comfyui_embedded_docs/docs/ColorToRGBInt/es.md
@@ -12,7 +12,7 @@ El nodo ColorToRGBInt convierte un color especificado en formato hexadecimal en
| Nombre de Salida | Descripción | Tipo de Dato |
| --- | --- | --- |
-| `rgb_int` | El valor entero RGB calculado. Se obtiene mediante la fórmula: `(Rojo * 65536) + (Verde * 256) + Azul`. | INT |
+| `hex` | El valor entero RGB calculado. Se obtiene mediante la fórmula: `(Rojo * 65536) + (Verde * 256) + Azul`. | INT |
> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/es.md)
diff --git a/comfyui_embedded_docs/docs/ColorToRGBInt/fr.md b/comfyui_embedded_docs/docs/ColorToRGBInt/fr.md
index 332a82c43..355969047 100644
--- a/comfyui_embedded_docs/docs/ColorToRGBInt/fr.md
+++ b/comfyui_embedded_docs/docs/ColorToRGBInt/fr.md
@@ -12,7 +12,7 @@ Le nœud ColorToRGBInt convertit une couleur spécifiée au format hexadécimal
| Nom de sortie | Description | Type de données |
| --- | --- | --- |
-| `rgb_int` | La valeur entière RVB calculée. Elle est obtenue à partir de la formule : `(Rouge * 65536) + (Vert * 256) + Bleu`. | INT |
+| `hex` | La valeur entière RVB calculée. Elle est obtenue à partir de la formule : `(Rouge * 65536) + (Vert * 256) + Bleu`. | INT |
> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/fr.md)
diff --git a/comfyui_embedded_docs/docs/ColorToRGBInt/ja.md b/comfyui_embedded_docs/docs/ColorToRGBInt/ja.md
index 839e89902..dd2fcdbda 100644
--- a/comfyui_embedded_docs/docs/ColorToRGBInt/ja.md
+++ b/comfyui_embedded_docs/docs/ColorToRGBInt/ja.md
@@ -12,7 +12,7 @@ ColorToRGBIntノードは、16進数形式で指定された色を単一の整
| 出力名 | 説明 | データ型 |
| --- | --- | --- |
-| `rgb_int` | 計算されたRGB整数値。次の式から導出されます：`(赤 * 65536) + (緑 * 256) + 青` | INT |
+| `16進数` | 計算されたRGB整数値。次の式から導出されます：`(赤 * 65536) + (緑 * 256) + 青` | INT |
> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/ja.md)
diff --git a/comfyui_embedded_docs/docs/ColorToRGBInt/ko.md b/comfyui_embedded_docs/docs/ColorToRGBInt/ko.md
index cd3521e2c..1054f9968 100644
--- a/comfyui_embedded_docs/docs/ColorToRGBInt/ko.md
+++ b/comfyui_embedded_docs/docs/ColorToRGBInt/ko.md
@@ -12,7 +12,7 @@ ColorToRGBInt 노드는 16진수 형식으로 지정된 색상을 단일 정수
| 출력 이름 | 설명 | 데이터 타입 |
| --- | --- | --- |
-| `rgb_int` | 계산된 RGB 정수 값입니다. 이 값은 `(Red * 65536) + (Green * 256) + Blue` 공식에서 파생됩니다. | INT |
+| `hex` | 계산된 RGB 정수 값입니다. 이 값은 `(Red * 65536) + (Green * 256) + Blue` 공식에서 파생됩니다. | INT |
> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/ko.md)
diff --git a/comfyui_embedded_docs/docs/ColorToRGBInt/tr.md b/comfyui_embedded_docs/docs/ColorToRGBInt/tr.md
index 0954dd88b..9ce8383c0 100644
--- a/comfyui_embedded_docs/docs/ColorToRGBInt/tr.md
+++ b/comfyui_embedded_docs/docs/ColorToRGBInt/tr.md
@@ -12,7 +12,7 @@ ColorToRGBInt düğümü, onaltılık (hexadecimal) formatta belirtilen bir reng
| Çıktı Adı | Açıklama | Veri Türü |
| --- | --- | --- |
-| `rgb_int` | Hesaplanan RGB tamsayı değeri. Bu değer şu formülden türetilir: `(Kırmızı * 65536) + (Yeşil * 256) + Mavi`. | INT |
+| `hex` | Hesaplanan RGB tamsayı değeri. Bu değer şu formülden türetilir: `(Kırmızı * 65536) + (Yeşil * 256) + Mavi`. | INT |
> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/tr.md)
diff --git a/comfyui_embedded_docs/docs/ColorToRGBInt/zh-TW.md b/comfyui_embedded_docs/docs/ColorToRGBInt/zh-TW.md
index 55eddb857..9dd6b8f1a 100644
--- a/comfyui_embedded_docs/docs/ColorToRGBInt/zh-TW.md
+++ b/comfyui_embedded_docs/docs/ColorToRGBInt/zh-TW.md
@@ -14,7 +14,7 @@ ColorToRGBInt 節點將以十六進位格式指定的顏色轉換為單一整數
| 輸出名稱 | 說明 | 資料類型 |
| --- | --- | --- |
-| `rgb_int` | 計算出的 RGB 整數值。此值由以下公式推導得出：`(Red * 65536) + (Green * 256) + Blue`。 | INT |
+| `hex` | 計算出的 RGB 整數值。此值由以下公式推導得出：`(Red * 65536) + (Green * 256) + Blue`。 | INT |
> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/zh-TW.md)
diff --git a/comfyui_embedded_docs/docs/ColorToRGBInt/zh.md b/comfyui_embedded_docs/docs/ColorToRGBInt/zh.md
index f362b6f58..6bd751d68 100644
--- a/comfyui_embedded_docs/docs/ColorToRGBInt/zh.md
+++ b/comfyui_embedded_docs/docs/ColorToRGBInt/zh.md
@@ -12,7 +12,7 @@ ColorToRGBInt 节点将十六进制格式指定的颜色转换为单个整数值
| 输出名称 | 描述 | 数据类型 |
| --- | --- | --- |
-| `rgb_int` | 计算出的 RGB 整数值。该值通过以下公式得出：`(红色值 * 65536) + (绿色值 * 256) + 蓝色值`。 | INT |
+| `hex` | 计算出的 RGB 整数值。该值通过以下公式得出：`(红色值 * 65536) + (绿色值 * 256) + 蓝色值`。 | INT |
> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ColorToRGBInt/zh.md)
diff --git a/comfyui_embedded_docs/docs/ComfyMathExpression/en.md b/comfyui_embedded_docs/docs/ComfyMathExpression/en.md
index 1422b0021..520f8228d 100644
--- a/comfyui_embedded_docs/docs/ComfyMathExpression/en.md
+++ b/comfyui_embedded_docs/docs/ComfyMathExpression/en.md
@@ -1,9 +1,11 @@
+# ComfyMathExpression Node Documentation
+
The ComfyMathExpression node evaluates a mathematical formula using a set of input values. You can write an expression using variable names (like `a`, `b`, `c`), and the node will calculate the result. It supports dynamically adding as many input values as needed for your calculation.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `expression` | The mathematical formula to evaluate. You can use variable names that correspond to the input values (default: "a + b"). | STRING | Yes | N/A |
| `values` | A set of numeric or boolean inputs that can be dynamically added. Each input is assigned a letter from the alphabet (a, b, c, ...) to be used as a variable in the expression. At least one input value is required. | FLOAT, INT, BOOLEAN | No | N/A |
@@ -16,7 +18,7 @@ The ComfyMathExpression node evaluates a mathematical formula using a set of inp
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `FLOAT` | The result of the mathematical expression as a floating-point number. | FLOAT |
| `INT` | The result of the mathematical expression as an integer. | INT |
| `BOOL` | The result of the mathematical expression as a boolean value. | BOOLEAN |
@@ -24,4 +26,4 @@ The ComfyMathExpression node evaluates a mathematical formula using a set of inp
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ComfyMathExpression/en.md)
---
-**Source fingerprint (SHA-256):** `bf6221a7e1e955bdb56482de0a86a782494b2775fdd2edfde9fd20a9df0fe1a7`
+**Source fingerprint (SHA-256):** `d3b47ddb7bc40318d35ad09fb53793cea25e9a9b310ab47aaf937781e3ad2b73`
diff --git a/comfyui_embedded_docs/docs/CreateVideo/en.md b/comfyui_embedded_docs/docs/CreateVideo/en.md
index 2c2624fad..c8c1331f0 100644
--- a/comfyui_embedded_docs/docs/CreateVideo/en.md
+++ b/comfyui_embedded_docs/docs/CreateVideo/en.md
@@ -1,20 +1,23 @@
+# Create Video Node
+
The Create Video node generates a video file from a sequence of images. You can specify the playback speed using frames per second and optionally add audio to the video. The node combines your images into a video format that can be played back with the specified frame rate.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `images` | The images to create a video from. | IMAGE | Yes | - |
| `fps` | The frames per second for the video playback speed (default: 30.0). | FLOAT | Yes | 1.0 - 120.0 |
| `audio` | The audio to add to the video. | AUDIO | No | - |
+| `bit_depth` | Bit depth of the created video. 10-bit keeps smoother gradients with less banding, but some players and downstream nodes may not support it (default: 8). | INT | No | 8 - 10 |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file containing the input images and optional audio. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CreateVideo/en.md)
---
-**Source fingerprint (SHA-256):** `b3effbbc380a3841ffbedd3c9561e783bc9f9a7887edc8965c38992cb370a812`
+**Source fingerprint (SHA-256):** `7d9484da73946ee69608e16608307de7334a8f920b5c5ec5c7a6f227934e3318`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/ar.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/ar.md
new file mode 100644
index 000000000..95ce51345
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToMesh/ar.md
@@ -0,0 +1,26 @@
+# تحويل هندسة DA3 إلى شبكة
+
+تقوم هذه العقدة بتحويل حزمة DA3_GEOMETRY إلى شبكة ثلاثية الأبعاد عن طريق إلغاء إسقاط خريطة العمق وتثليث سحابة النقاط الناتجة. تقوم بمعالجة صورة واحدة من الدفعة وإنتاج شبكة مزخرفة أو غير مزخرفة مناسبة للعرض ثلاثي الأبعاد.
+
+## المدخلات
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|---------------|--------|--------|
+| `da3_geometry` | حزمة DA3_GEOMETRY التي تحتوي على خريطة العمق، وخريطة الثقة الاختيارية، وخريطة السماء الاختيارية، والصورة المصدر | DA3_GEOMETRY | نعم | - |
+| `batch_index` | أي صورة من الدفعة سيتم تحويلها. تختلف أعداد الرؤوس لكل صورة لذا لا يمكن تكديس الدفعات (الافتراضي: 0) | INT | نعم | 0 إلى 4096 |
+| `decimation` | خطوة الرأس. 1 = الدقة الكاملة، 2 = النصف، إلخ (الافتراضي: 1) | INT | نعم | 1 إلى 8 |
+| `discontinuity_threshold` | إسقاط المثلثات التي يتجاوز مدى العمق 3×3 فيها هذا الكسر. 0 = إيقاف (الافتراضي: 0.04) | FLOAT | نعم | 0.0 إلى 1.0 |
+| `confidence_threshold` | استبعاد البكسلات التي تكون ثقتها الطبيعية لكل صورة أقل من هذه القيمة. 0 = الاحتفاظ بالكل، 1 = الاحتفاظ بالبكسل الأكثر ثقة فقط. يُستخدم عندما تحتوي الهندسة على خريطة ثقة (نماذج صغيرة/قاعدية) (الافتراضي: 0.1) | FLOAT | نعم | 0.0 إلى 1.0 |
+| `use_sky_mask` | استبعاد بكسلات احتمالية السماء (السماء >= 0.5) من الشبكة. يُستخدم عندما تحتوي الهندسة على خريطة سماء (نماذج أحادية/مترية) (الافتراضي: صحيح) | BOOLEAN | نعم | صحيح أو خطأ |
+| `texture` | استخدام الصورة المصدر كنظام ألوان أساسي (الافتراضي: صحيح) | BOOLEAN | نعم | صحيح أو خطأ |
+
+## المخرجات
+
+| اسم المخرج | الوصف | نوع البيانات |
+|------------|-------|---------------|
+| `MESH` | شبكة ثلاثية الأبعاد مثلاة تحتوي على رؤوس وأوجه وإحداثيات UV ونظام ألوان اختياري | MESH |
+
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/ar.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/en.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/en.md
new file mode 100644
index 000000000..cdd136b6e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToMesh/en.md
@@ -0,0 +1,26 @@
+# Convert DA3 Geometry to Mesh
+
+This node converts a DA3_GEOMETRY packet into a 3D mesh by unprojecting the depth map and triangulating the resulting point cloud. It processes a single image from a batch and produces a textured or untextured mesh suitable for 3D rendering.
+
+## Inputs
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | The DA3_GEOMETRY packet containing depth map, optional confidence map, optional sky map, and source image | DA3_GEOMETRY | Yes | - |
+| `batch_index` | Which image of a batch to convert. Per-image vertex counts differ so batches cannot be stacked (default: 0) | INT | Yes | 0 to 4096 |
+| `decimation` | Vertex stride. 1 = full resolution, 2 = half, etc. (default: 1) | INT | Yes | 1 to 8 |
+| `discontinuity_threshold` | Drop triangles whose 3x3 depth span exceeds this fraction. 0 = off (default: 0.04) | FLOAT | Yes | 0.0 to 1.0 |
+| `confidence_threshold` | Exclude pixels whose per-image normalised confidence is below this value. 0 = keep all, 1 = keep only the single most confident pixel. Used when the geometry has a confidence map (Small/Base models) (default: 0.1) | FLOAT | Yes | 0.0 to 1.0 |
+| `use_sky_mask` | Exclude sky-probability pixels (sky >= 0.5) from the mesh. Used when the geometry has a sky map (Mono/Metric models) (default: True) | BOOLEAN | Yes | True or False |
+| `texture` | Use the source image as a base color texture (default: True) | BOOLEAN | Yes | True or False |
+
+## Outputs
+
+| Output Name | Description | Data Type |
+|-------------|-------------|-----------|
+| `MESH` | A triangulated 3D mesh with vertices, faces, UV coordinates, and optional texture | MESH |
+
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/en.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/es.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/es.md
new file mode 100644
index 000000000..58d854f57
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToMesh/es.md
@@ -0,0 +1,26 @@
+# Convertir Geometría DA3 a Malla
+
+Este nodo convierte un paquete DA3_GEOMETRY en una malla 3D mediante la desproyección del mapa de profundidad y la triangulación de la nube de puntos resultante. Procesa una sola imagen de un lote y produce una malla texturizada o sin textura adecuada para renderizado 3D.
+
+## Entradas
+
+| Parámetro | Descripción | Tipo de Dato | Requerido | Rango |
+|-----------|-------------|--------------|-----------|-------|
+| `da3_geometry` | El paquete DA3_GEOMETRY que contiene el mapa de profundidad, mapa de confianza opcional, mapa de cielo opcional e imagen de origen | DA3_GEOMETRY | Sí | - |
+| `batch_index` | Qué imagen de un lote convertir. Los recuentos de vértices por imagen difieren, por lo que los lotes no se pueden apilar (predeterminado: 0) | INT | Sí | 0 a 4096 |
+| `decimation` | Paso de vértices. 1 = resolución completa, 2 = mitad, etc. (predeterminado: 1) | INT | Sí | 1 a 8 |
+| `discontinuity_threshold` | Eliminar triángulos cuyo rango de profundidad 3x3 supere esta fracción. 0 = desactivado (predeterminado: 0.04) | FLOAT | Sí | 0.0 a 1.0 |
+| `confidence_threshold` | Excluir píxeles cuya confianza normalizada por imagen esté por debajo de este valor. 0 = conservar todos, 1 = conservar solo el píxel más confiable. Se usa cuando la geometría tiene un mapa de confianza (modelos Small/Base) (predeterminado: 0.1) | FLOAT | Sí | 0.0 a 1.0 |
+| `use_sky_mask` | Excluir píxeles con probabilidad de cielo (cielo >= 0.5) de la malla. Se usa cuando la geometría tiene un mapa de cielo (modelos Mono/Metric) (predeterminado: Verdadero) | BOOLEAN | Sí | Verdadero o Falso |
+| `texture` | Usar la imagen de origen como textura de color base (predeterminado: Verdadero) | BOOLEAN | Sí | Verdadero o Falso |
+
+## Salidas
+
+| Nombre de Salida | Descripción | Tipo de Dato |
+|------------------|-------------|--------------|
+| `MESH` | Una malla 3D triangulada con vértices, caras, coordenadas UV y textura opcional | MESH |
+
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/es.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/fa.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/fa.md
new file mode 100644
index 000000000..7ce181b90
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToMesh/fa.md
@@ -0,0 +1,26 @@
+# تبدیل هندسه DA3 به مش
+
+این گره یک بسته DA3_GEOMETRY را با خارجسازی نقشه عمق و مثلثسازی ابر نقطهای حاصل، به یک مش سهبعدی تبدیل میکند. یک تصویر واحد از یک دسته را پردازش کرده و مشی با یا بدون بافت مناسب برای رندرینگ سهبعدی تولید میکند.
+
+## ورودیها
+
+| پارامتر | توضیحات | نوع داده | ضروری | محدوده |
+|---------|---------|----------|-------|--------|
+| `da3_geometry` | بسته DA3_GEOMETRY شامل نقشه عمق، نقشه اطمینان اختیاری، نقشه آسمان اختیاری و تصویر منبع | DA3_GEOMETRY | بله | - |
+| `batch_index` | کدام تصویر از یک دسته تبدیل شود. تعداد رئوس هر تصویر متفاوت است بنابراین دستهها قابل انباشت نیستند (پیشفرض: 0) | INT | بله | 0 تا 4096 |
+| `decimation` | گام رئوس. 1 = وضوح کامل، 2 = نصف، و غیره (پیشفرض: 1) | INT | بله | 1 تا 8 |
+| `discontinuity_threshold` | مثلثهایی که گستره عمق 3×3 آنها از این کسر بیشتر است حذف میشوند. 0 = غیرفعال (پیشفرض: 0.04) | FLOAT | بله | 0.0 تا 1.0 |
+| `confidence_threshold` | پیکسلهایی که اطمینان نرمالشده هر تصویر آنها کمتر از این مقدار است حذف میشوند. 0 = نگهداشتن همه، 1 = نگهداشتن تنها بااطمینانترین پیکسل. زمانی استفاده میشود که هندسه دارای نقشه اطمینان باشد (مدلهای Small/Base) (پیشفرض: 0.1) | FLOAT | بله | 0.0 تا 1.0 |
+| `use_sky_mask` | پیکسلهای با احتمال آسمان (sky >= 0.5) از مش حذف میشوند. زمانی استفاده میشود که هندسه دارای نقشه آسمان باشد (مدلهای Mono/Metric) (پیشفرض: True) | BOOLEAN | بله | True یا False |
+| `texture` | استفاده از تصویر منبع به عنوان بافت رنگ پایه (پیشفرض: True) | BOOLEAN | بله | True یا False |
+
+## خروجیها
+
+| نام خروجی | توضیحات | نوع داده |
+|-----------|---------|----------|
+| `MESH` | یک مش سهبعدی مثلثشده با رئوس، وجوه، مختصات UV و بافت اختیاری | MESH |
+
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/fa.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/fr.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/fr.md
new file mode 100644
index 000000000..96458855f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToMesh/fr.md
@@ -0,0 +1,26 @@
+# Convertir DA3 Geometry en Maillage
+
+Ce nœud convertit un paquet DA3_GEOMETRY en un maillage 3D en déprojetant la carte de profondeur et en triangulant le nuage de points résultant. Il traite une seule image d'un lot et produit un maillage texturé ou non texturé adapté au rendu 3D.
+
+## Entrées
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `da3_geometry` | Le paquet DA3_GEOMETRY contenant la carte de profondeur, la carte de confiance optionnelle, la carte de ciel optionnelle et l'image source | DA3_GEOMETRY | Oui | - |
+| `batch_index` | Quelle image d'un lot convertir. Les nombres de sommets par image diffèrent, donc les lots ne peuvent pas être empilés (par défaut : 0) | INT | Oui | 0 à 4096 |
+| `decimation` | Pas de sommet. 1 = pleine résolution, 2 = moitié, etc. (par défaut : 1) | INT | Oui | 1 à 8 |
+| `discontinuity_threshold` | Supprimer les triangles dont l'étendue de profondeur 3x3 dépasse cette fraction. 0 = désactivé (par défaut : 0,04) | FLOAT | Oui | 0,0 à 1,0 |
+| `confidence_threshold` | Exclure les pixels dont la confiance normalisée par image est inférieure à cette valeur. 0 = tout conserver, 1 = ne conserver que le pixel le plus fiable. Utilisé lorsque la géométrie possède une carte de confiance (modèles Small/Base) (par défaut : 0,1) | FLOAT | Oui | 0,0 à 1,0 |
+| `use_sky_mask` | Exclure les pixels de probabilité de ciel (ciel >= 0,5) du maillage. Utilisé lorsque la géométrie possède une carte de ciel (modèles Mono/Metric) (par défaut : Vrai) | BOOLEAN | Oui | Vrai ou Faux |
+| `texture` | Utiliser l'image source comme texture de couleur de base (par défaut : Vrai) | BOOLEAN | Oui | Vrai ou Faux |
+
+## Sorties
+
+| Nom de sortie | Description | Type de données |
+|---------------|-------------|-----------------|
+| `MESH` | Un maillage 3D triangulé avec sommets, faces, coordonnées UV et texture optionnelle | MESH |
+
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/fr.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/ja.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/ja.md
new file mode 100644
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@@ -0,0 +1,26 @@
+# DA3 ジオメトリをメッシュに変換
+
+このノードは、深度マップをアンプロジェクションし、結果の点群を三角形分割することで、DA3_GEOMETRY パケットを3Dメッシュに変換します。バッチから1枚の画像を処理し、テクスチャ付きまたはテクスチャなしの3Dレンダリングに適したメッシュを生成します。
+
+## 入力
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 深度マップ、オプションの信頼度マップ、オプションの空マップ、およびソース画像を含む DA3_GEOMETRY パケット | DA3_GEOMETRY | はい | - |
+| `batch_index` | 変換するバッチ内の画像を指定します。画像ごとに頂点数が異なるため、バッチを積み重ねることはできません（デフォルト：0） | INT | はい | 0 ～ 4096 |
+| `decimation` | 頂点ストライド。1 = フル解像度、2 = 半分、など（デフォルト：1） | INT | はい | 1 ～ 8 |
+| `discontinuity_threshold` | 3x3の深度範囲がこの割合を超える三角形を削除します。0 = オフ（デフォルト：0.04） | FLOAT | はい | 0.0 ～ 1.0 |
+| `confidence_threshold` | 画像ごとの正規化された信頼度がこの値未満のピクセルを除外します。0 = すべて保持、1 = 最も信頼度の高い1ピクセルのみ保持。ジオメトリに信頼度マップがある場合（Small/Baseモデル）に使用されます（デフォルト：0.1） | FLOAT | はい | 0.0 ～ 1.0 |
+| `use_sky_mask` | 空の確率が高いピクセル（空 >= 0.5）をメッシュから除外します。ジオメトリに空マップがある場合（Mono/Metricモデル）に使用されます（デフォルト：True） | BOOLEAN | はい | True または False |
+| `texture` | ソース画像をベースカラーテクスチャとして使用します（デフォルト：True） | BOOLEAN | はい | True または False |
+
+## 出力
+
+| 出力名 | 説明 | データ型 |
+|-------------|-------------|-----------|
+| `MESH` | 頂点、面、UV座標、およびオプションのテクスチャを持つ三角形分割された3Dメッシュ | MESH |
+
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/ja.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/ko.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/ko.md
new file mode 100644
index 000000000..4b39b5d0d
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToMesh/ko.md
@@ -0,0 +1,26 @@
+# DA3 지오메트리를 메시로 변환
+
+이 노드는 깊이 맵을 역투영하고 결과 포인트 클라우드를 삼각 측량하여 DA3_GEOMETRY 패킷을 3D 메시로 변환합니다. 배치에서 단일 이미지를 처리하고 3D 렌더링에 적합한 텍스처가 있거나 없는 메시를 생성합니다.
+
+## 입력
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 깊이 맵, 선택적 신뢰도 맵, 선택적 하늘 맵 및 소스 이미지를 포함하는 DA3_GEOMETRY 패킷 | DA3_GEOMETRY | 예 | - |
+| `batch_index` | 변환할 배치의 이미지 인덱스입니다. 이미지별 정점 개수가 다르므로 배치를 쌓을 수 없습니다(기본값: 0) | INT | 예 | 0 ~ 4096 |
+| `decimation` | 정점 간격입니다. 1 = 전체 해상도, 2 = 절반 해상도 등(기본값: 1) | INT | 예 | 1 ~ 8 |
+| `discontinuity_threshold` | 3x3 깊이 범위가 이 비율을 초과하는 삼각형을 제거합니다. 0 = 비활성화(기본값: 0.04) | FLOAT | 예 | 0.0 ~ 1.0 |
+| `confidence_threshold` | 이미지별 정규화된 신뢰도가 이 값보다 낮은 픽셀을 제외합니다. 0 = 모두 유지, 1 = 가장 신뢰도가 높은 단일 픽셀만 유지합니다. 지오메트리에 신뢰도 맵이 있는 경우 사용됩니다(Small/Base 모델)(기본값: 0.1) | FLOAT | 예 | 0.0 ~ 1.0 |
+| `use_sky_mask` | 하늘 확률 픽셀(하늘 >= 0.5)을 메시에서 제외합니다. 지오메트리에 하늘 맵이 있는 경우 사용됩니다(Mono/Metric 모델)(기본값: True) | BOOLEAN | 예 | True 또는 False |
+| `texture` | 소스 이미지를 기본 색상 텍스처로 사용합니다(기본값: True) | BOOLEAN | 예 | True 또는 False |
+
+## 출력
+
+| 출력 이름 | 설명 | 데이터 타입 |
+|-------------|-------------|-----------|
+| `MESH` | 정점, 면, UV 좌표 및 선택적 텍스처가 포함된 삼각 측량된 3D 메시 | MESH |
+
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/ko.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/pt-BR.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/pt-BR.md
new file mode 100644
index 000000000..27284eb47
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToMesh/pt-BR.md
@@ -0,0 +1,26 @@
+# Converter Geometria DA3 em Malha
+
+Este nó converte um pacote DA3_GEOMETRY em uma malha 3D, reprojetando o mapa de profundidade e triangulando a nuvem de pontos resultante. Ele processa uma única imagem de um lote e produz uma malha texturizada ou não texturizada adequada para renderização 3D.
+
+## Entradas
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | O pacote DA3_GEOMETRY contendo mapa de profundidade, mapa de confiança opcional, mapa de céu opcional e imagem de origem | DA3_GEOMETRY | Sim | - |
+| `batch_index` | Qual imagem de um lote converter. As contagens de vértices por imagem diferem, portanto os lotes não podem ser empilhados (padrão: 0) | INT | Sim | 0 a 4096 |
+| `decimation` | Passo do vértice. 1 = resolução total, 2 = metade, etc. (padrão: 1) | INT | Sim | 1 a 8 |
+| `discontinuity_threshold` | Descarta triângulos cuja extensão de profundidade 3x3 exceda esta fração. 0 = desligado (padrão: 0,04) | FLOAT | Sim | 0,0 a 1,0 |
+| `confidence_threshold` | Exclui pixels cuja confiança normalizada por imagem esteja abaixo deste valor. 0 = manter todos, 1 = manter apenas o pixel mais confiante. Usado quando a geometria possui um mapa de confiança (modelos Pequeno/Base) (padrão: 0,1) | FLOAT | Sim | 0,0 a 1,0 |
+| `use_sky_mask` | Exclui pixels de probabilidade de céu (céu >= 0,5) da malha. Usado quando a geometria possui um mapa de céu (modelos Mono/Métrico) (padrão: Verdadeiro) | BOOLEANO | Sim | Verdadeiro ou Falso |
+| `texture` | Usa a imagem de origem como textura de cor base (padrão: Verdadeiro) | BOOLEANO | Sim | Verdadeiro ou Falso |
+
+## Saídas
+
+| Nome da Saída | Descrição | Tipo de Dado |
+|-------------|-------------|-----------|
+| `MESH` | Uma malha 3D triangulada com vértices, faces, coordenadas UV e textura opcional | MALHA |
+
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/pt-BR.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/ru.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/ru.md
new file mode 100644
index 000000000..5dd54c63f
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+++ b/comfyui_embedded_docs/docs/DA3GeometryToMesh/ru.md
@@ -0,0 +1,26 @@
+# Преобразовать DA3 Geometry в Mesh
+
+Этот узел преобразует пакет DA3_GEOMETRY в 3D-сетку путем обратного проецирования карты глубины и триангуляции полученного облака точек. Он обрабатывает одно изображение из пакета и создает текстурированную или нетекстурированную сетку, подходящую для 3D-рендеринга.
+
+## Входные параметры
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `da3_geometry` | Пакет DA3_GEOMETRY, содержащий карту глубины, опциональную карту уверенности, опциональную карту неба и исходное изображение | DA3_GEOMETRY | Да | - |
+| `batch_index` | Какое изображение из пакета преобразовать. Количество вершин на изображение различается, поэтому пакеты не могут быть объединены (по умолчанию: 0) | INT | Да | от 0 до 4096 |
+| `decimation` | Шаг вершин. 1 = полное разрешение, 2 = половина и т.д. (по умолчанию: 1) | INT | Да | от 1 до 8 |
+| `discontinuity_threshold` | Удалять треугольники, чей разброс глубины 3x3 превышает данную долю. 0 = отключено (по умолчанию: 0.04) | FLOAT | Да | от 0.0 до 1.0 |
+| `confidence_threshold` | Исключать пиксели, чья нормализованная уверенность на изображение ниже этого значения. 0 = сохранить все, 1 = сохранить только один самый уверенный пиксель. Используется, когда геометрия имеет карту уверенности (модели Small/Base) (по умолчанию: 0.1) | FLOAT | Да | от 0.0 до 1.0 |
+| `use_sky_mask` | Исключать пиксели с вероятностью неба (небо >= 0.5) из сетки. Используется, когда геометрия имеет карту неба (модели Mono/Metric) (по умолчанию: True) | BOOLEAN | Да | True или False |
+| `texture` | Использовать исходное изображение в качестве текстурной карты основного цвета (по умолчанию: True) | BOOLEAN | Да | True или False |
+
+## Выходные параметры
+
+| Имя выхода | Описание | Тип данных |
+|------------|----------|------------|
+| `MESH` | Триангулированная 3D-сетка с вершинами, гранями, UV-координатами и опциональной текстурой | MESH |
+
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/ru.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/tr.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/tr.md
new file mode 100644
index 000000000..36a99dc80
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+++ b/comfyui_embedded_docs/docs/DA3GeometryToMesh/tr.md
@@ -0,0 +1,26 @@
+# DA3 Geometrisini Mesh'e Dönüştür
+
+Bu düğüm, bir DA3_GEOMETRY paketini derinlik haritasını izdüşümden çıkararak ve elde edilen nokta bulutunu üçgenleyerek 3 boyutlu bir mesh'e dönüştürür. Bir yığındaki tek bir görüntüyü işler ve 3B işleme için uygun, dokulu veya dokusuz bir mesh üretir.
+
+## Girişler
+
+| Parametre | Açıklama | Veri Türü | Gerekli | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `da3_geometry` | Derinlik haritası, isteğe bağlı güven haritası, isteğe bağlı gökyüzü haritası ve kaynak görüntü içeren DA3_GEOMETRY paketi | DA3_GEOMETRY | Evet | - |
+| `batch_index` | Bir yığındaki hangi görüntünün dönüştürüleceği. Görüntü başına köşe sayıları farklılık gösterdiğinden yığınlar üst üste eklenemez (varsayılan: 0) | INT | Evet | 0 ile 4096 |
+| `decimation` | Köşe adımı. 1 = tam çözünürlük, 2 = yarı çözünürlük, vb. (varsayılan: 1) | INT | Evet | 1 ile 8 |
+| `discontinuity_threshold` | 3x3 derinlik aralığı bu oranı aşan üçgenleri at. 0 = kapalı (varsayılan: 0.04) | FLOAT | Evet | 0.0 ile 1.0 |
+| `confidence_threshold` | Görüntü başına normalleştirilmiş güven değeri bu değerin altında olan pikselleri hariç tut. 0 = tümünü tut, 1 = yalnızca en yüksek güvenli tek pikseli tut. Geometrinin güven haritası olduğunda kullanılır (Küçük/Temel modeller) (varsayılan: 0.1) | FLOAT | Evet | 0.0 ile 1.0 |
+| `use_sky_mask` | Gökyüzü olasılığı olan pikselleri (gökyüzü >= 0.5) mesh'ten hariç tut. Geometrinin gökyüzü haritası olduğunda kullanılır (Tek/Metrik modeller) (varsayılan: True) | BOOLEAN | Evet | True veya False |
+| `texture` | Kaynak görüntüyü temel renk dokusu olarak kullan (varsayılan: True) | BOOLEAN | Evet | True veya False |
+
+## Çıktılar
+
+| Çıktı Adı | Açıklama | Veri Türü |
+|-----------|----------|-----------|
+| `MESH` | Köşeler, yüzeyler, UV koordinatları ve isteğe bağlı doku içeren üçgenlenmiş 3B mesh | MESH |
+
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/tr.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/zh-TW.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/zh-TW.md
new file mode 100644
index 000000000..a8f13a8f8
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToMesh/zh-TW.md
@@ -0,0 +1,26 @@
+# 將 DA3 幾何資料轉換為網格
+
+此節點透過反投影深度圖並對產生的點雲進行三角化，將 DA3_GEOMETRY 資料包轉換為 3D 網格。它處理批次中的單一影像，並產生適合 3D 渲染的紋理或無紋理網格。
+
+## 輸入
+
+| 參數 | 說明 | 資料類型 | 必要 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 包含深度圖、可選置信度圖、可選天空圖及來源影像的 DA3_GEOMETRY 資料包 | DA3_GEOMETRY | 是 | - |
+| `batch_index` | 要轉換的批次影像索引。每張影像的頂點數量不同，因此批次無法堆疊（預設值：0） | INT | 是 | 0 至 4096 |
+| `decimation` | 頂點步長。1 = 完整解析度，2 = 一半解析度，以此類推（預設值：1） | INT | 是 | 1 至 8 |
+| `discontinuity_threshold` | 丟棄 3x3 深度跨度超過此比例的三角形。0 = 關閉（預設值：0.04） | FLOAT | 是 | 0.0 至 1.0 |
+| `confidence_threshold` | 排除每張影像正規化置信度低於此值的像素。0 = 保留全部，1 = 僅保留置信度最高的單一像素。當幾何資料包含置信度圖時使用（Small/Base 模型）（預設值：0.1） | FLOAT | 是 | 0.0 至 1.0 |
+| `use_sky_mask` | 從網格中排除天空機率像素（天空 >= 0.5）。當幾何資料包含天空圖時使用（Mono/Metric 模型）（預設值：True） | BOOLEAN | 是 | True 或 False |
+| `texture` | 使用來源影像作為基底顏色紋理（預設值：True） | BOOLEAN | 是 | True 或 False |
+
+## 輸出
+
+| 輸出名稱 | 說明 | 資料類型 |
+|-------------|-------------|-----------|
+| `MESH` | 包含頂點、面、UV 座標及可選紋理的三角化 3D 網格 | MESH |
+
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/zh-TW.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToMesh/zh.md b/comfyui_embedded_docs/docs/DA3GeometryToMesh/zh.md
new file mode 100644
index 000000000..0f2566084
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToMesh/zh.md
@@ -0,0 +1,26 @@
+# 将 DA3 几何体转换为网格
+
+此节点通过反投影深度图并对生成的点云进行三角剖分，将 DA3_GEOMETRY 数据包转换为 3D 网格。它处理批次中的单个图像，并生成适合 3D 渲染的带纹理或不带纹理的网格。
+
+## ## 输入
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 包含深度图、可选置信度图、可选天空图及源图像的 DA3_GEOMETRY 数据包 | DA3_GEOMETRY | 是 | - |
+| `batch_index` | 要转换的批次中的图像索引。每张图像的顶点数量不同，因此批次无法堆叠（默认值：0） | INT | 是 | 0 至 4096 |
+| `decimation` | 顶点步长。1 = 全分辨率，2 = 半分辨率，以此类推（默认值：1） | INT | 是 | 1 至 8 |
+| `discontinuity_threshold` | 丢弃 3x3 深度跨度超过此比例的三角形。0 = 关闭（默认值：0.04） | FLOAT | 是 | 0.0 至 1.0 |
+| `confidence_threshold` | 排除归一化置信度低于此值的像素。0 = 保留所有像素，1 = 仅保留置信度最高的单个像素。当几何体包含置信度图时使用（Small/Base 模型）（默认值：0.1） | FLOAT | 是 | 0.0 至 1.0 |
+| `use_sky_mask` | 从网格中排除天空概率像素（天空 >= 0.5）。当几何体包含天空图时使用（Mono/Metric 模型）（默认值：True） | BOOLEAN | 是 | True 或 False |
+| `texture` | 使用源图像作为基础颜色纹理（默认值：True） | BOOLEAN | 是 | True 或 False |
+
+## ## 输出
+
+| 输出名称 | 描述 | 数据类型 |
+|-------------|-------------|-----------|
+| `MESH` | 包含顶点、面、UV 坐标及可选纹理的三角剖分 3D 网格 | MESH |
+
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToMesh/zh.md)
+
+---
+**Source fingerprint (SHA-256):** `1d311223a8d131030bcd4930d21852a21ac9dd5758e7f8b8d20b1cf68698893b`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ar.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ar.md
new file mode 100644
index 000000000..f09e8a223
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@@ -0,0 +1,24 @@
+# تحويل هندسة DA3 إلى سحابة نقطية
+
+تقوم هذه العقدة بتحويل خريطة العمق من كائن DA3_GEOMETRY إلى سحابة نقطية ثلاثية الأبعاد. تطبق العقدة تصفية بناءً على قنوات الثقة وقناع السماء، وتحول النقاط إلى نظام إحداثيات عالمي مشترك مناسب للمشاهد متعددة الزوايا.
+
+## المدخلات
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|---------------|---------|--------|
+| `da3_geometry` | كائن DA3_GEOMETRY الذي يحتوي على بيانات العمق وصورة اختيارية وقنوات الثقة والسماء | DA3_GEOMETRY | نعم | - |
+| `batch_index` | أي صورة من الدفعة سيتم تحويلها (القيمة الافتراضية: 0) | INT | نعم | 0 إلى 4096 |
+| `confidence_threshold` | استبعاد البكسلات التي تقل ثقتها الطبيعية لكل صورة عن هذه القيمة (0 = الاحتفاظ بالكل). يُستخدم عندما تحتوي الهندسة على خريطة ثقة (نماذج Small/Base). (القيمة الافتراضية: 0.1) | FLOAT | نعم | 0.0 إلى 1.0 |
+| `use_sky_mask` | استبعاد بكسلات احتمالية السماء (السماء >= 0.5). يُستخدم عندما تحتوي الهندسة على خريطة سماء (نماذج Mono/Metric). (القيمة الافتراضية: True) | BOOLEAN | نعم | True أو False |
+| `downsample` | أخذ كل بكسل N (1 = الدقة الكاملة). القيم الأعلى تعطي نقاطًا أقل ومعالجة أسرع. (القيمة الافتراضية: 1) | INT | نعم | 1 إلى 16 |
+
+## المخرجات
+
+| اسم المخرج | الوصف | نوع البيانات |
+|------------|-------|---------------|
+| `point_cloud` | كائن سحابة نقطية يحتوي على نقاط ثلاثية الأبعاد مُصفاة، وألوان اختيارية، وقيم ثقة اختيارية | DA3_POINT_CLOUD |
+
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ar.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/en.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/en.md
new file mode 100644
index 000000000..6cd379978
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+++ b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/en.md
@@ -0,0 +1,24 @@
+# Convert DA3 Geometry to Point Cloud
+
+This node converts a depth map from a DA3_GEOMETRY object into a 3D point cloud. It applies filtering based on confidence and sky masks, and transforms the points into a common world coordinate system suitable for multi-view scenes.
+
+## Inputs
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | The DA3_GEOMETRY object containing depth data and optional image, confidence, and sky maps | DA3_GEOMETRY | Yes | - |
+| `batch_index` | Which image of a batch to convert (default: 0) | INT | Yes | 0 to 4096 |
+| `confidence_threshold` | Exclude pixels whose per-image normalised confidence is below this value (0 = keep all). Used when the geometry has a confidence map (Small/Base models). (default: 0.1) | FLOAT | Yes | 0.0 to 1.0 |
+| `use_sky_mask` | Exclude sky-probability pixels (sky >= 0.5). Used when the geometry has a sky map (Mono/Metric models). (default: True) | BOOLEAN | Yes | True or False |
+| `downsample` | Take every Nth pixel (1 = full resolution). Higher values give fewer points and faster processing. (default: 1) | INT | Yes | 1 to 16 |
+
+## Outputs
+
+| Output Name | Description | Data Type |
+|-------------|-------------|-----------|
+| `point_cloud` | A point cloud object containing filtered 3D points, optional colors, and optional confidence values | DA3_POINT_CLOUD |
+
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/en.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/es.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/es.md
new file mode 100644
index 000000000..3c31518fd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/es.md
@@ -0,0 +1,24 @@
+# Convertir Geometría DA3 a Nube de Puntos
+
+Este nodo convierte un mapa de profundidad de un objeto DA3_GEOMETRY en una nube de puntos 3D. Aplica filtrado basado en máscaras de confianza y cielo, y transforma los puntos a un sistema de coordenadas mundial común adecuado para escenas multivista.
+
+## Entradas
+
+| Parámetro | Descripción | Tipo de Dato | Obligatorio | Rango |
+|-----------|-------------|--------------|-------------|-------|
+| `da3_geometry` | El objeto DA3_GEOMETRY que contiene datos de profundidad y mapas opcionales de imagen, confianza y cielo | DA3_GEOMETRY | Sí | - |
+| `batch_index` | Qué imagen de un lote convertir (predeterminado: 0) | INT | Sí | 0 a 4096 |
+| `confidence_threshold` | Excluir píxeles cuya confianza normalizada por imagen esté por debajo de este valor (0 = conservar todos). Se usa cuando la geometría tiene un mapa de confianza (modelos Small/Base). (predeterminado: 0.1) | FLOAT | Sí | 0.0 a 1.0 |
+| `use_sky_mask` | Excluir píxeles de probabilidad de cielo (cielo >= 0.5). Se usa cuando la geometría tiene un mapa de cielo (modelos Mono/Metric). (predeterminado: True) | BOOLEAN | Sí | True o False |
+| `downsample` | Tomar cada N-ésimo píxel (1 = resolución completa). Valores más altos generan menos puntos y procesamiento más rápido. (predeterminado: 1) | INT | Sí | 1 a 16 |
+
+## Salidas
+
+| Nombre de Salida | Descripción | Tipo de Dato |
+|------------------|-------------|--------------|
+| `point_cloud` | Un objeto de nube de puntos que contiene puntos 3D filtrados, colores opcionales y valores de confianza opcionales | DA3_POINT_CLOUD |
+
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/es.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/fa.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/fa.md
new file mode 100644
index 000000000..b7909771b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/fa.md
@@ -0,0 +1,24 @@
+# تبدیل هندسه DA3 به ابر نقطه
+
+این گره یک نقشه عمق از شیء DA3_GEOMETRY را به یک ابر نقطه سهبعدی تبدیل میکند. این گره فیلتر کردن را بر اساس ماسکهای اطمینان و آسمان اعمال کرده و نقاط را به یک سیستم مختصات جهانی مشترک مناسب برای صحنههای چندنمایی تبدیل میکند.
+
+## ورودیها
+
+| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
+|---------|---------|----------|--------|--------|
+| `da3_geometry` | شیء DA3_GEOMETRY حاوی دادههای عمق و تصویر اختیاری، نقشههای اطمینان و آسمان | DA3_GEOMETRY | بله | - |
+| `batch_index` | کدام تصویر از یک دسته برای تبدیل (پیشفرض: 0) | INT | بله | 0 تا 4096 |
+| `confidence_threshold` | پیکسلهایی که اطمینان نرمالشده هر تصویرشان کمتر از این مقدار است را حذف میکند (0 = نگهداشتن همه). زمانی استفاده میشود که هندسه دارای نقشه اطمینان باشد (مدلهای Small/Base). (پیشفرض: 0.1) | FLOAT | بله | 0.0 تا 1.0 |
+| `use_sky_mask` | پیکسلهای احتمال آسمان را حذف میکند (آسمان >= 0.5). زمانی استفاده میشود که هندسه دارای نقشه آسمان باشد (مدلهای Mono/Metric). (پیشفرض: True) | BOOLEAN | بله | True یا False |
+| `downsample` | هر Nامین پیکسل را برمیدارد (1 = وضوح کامل). مقادیر بالاتر نقاط کمتری داده و پردازش سریعتری دارند. (پیشفرض: 1) | INT | بله | 1 تا 16 |
+
+## خروجیها
+
+| نام خروجی | توضیحات | نوع داده |
+|-----------|---------|----------|
+| `point_cloud` | یک شیء ابر نقطه حاوی نقاط سهبعدی فیلترشده، رنگهای اختیاری و مقادیر اطمینان اختیاری | DA3_POINT_CLOUD |
+
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/fa.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/fr.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/fr.md
new file mode 100644
index 000000000..4a6999902
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/fr.md
@@ -0,0 +1,24 @@
+# Convertir la géométrie DA3 en nuage de points
+
+Ce nœud convertit une carte de profondeur issue d'un objet DA3_GEOMETRY en un nuage de points 3D. Il applique un filtrage basé sur la confiance et les masques de ciel, et transforme les points dans un système de coordonnées mondial commun adapté aux scènes multi-vues.
+
+## Entrées
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `da3_geometry` | L'objet DA3_GEOMETRY contenant les données de profondeur ainsi que les cartes optionnelles d'image, de confiance et de ciel | DA3_GEOMETRY | Oui | - |
+| `batch_index` | Quelle image d'un lot convertir (par défaut : 0) | INT | Oui | 0 à 4096 |
+| `confidence_threshold` | Exclure les pixels dont la confiance normalisée par image est inférieure à cette valeur (0 = tout conserver). Utilisé lorsque la géométrie possède une carte de confiance (modèles Small/Base). (par défaut : 0,1) | FLOAT | Oui | 0,0 à 1,0 |
+| `use_sky_mask` | Exclure les pixels à probabilité de ciel (ciel >= 0,5). Utilisé lorsque la géométrie possède une carte de ciel (modèles Mono/Metric). (par défaut : Vrai) | BOOLEAN | Oui | Vrai ou Faux |
+| `downsample` | Prendre un pixel sur N (1 = pleine résolution). Des valeurs plus élevées donnent moins de points et un traitement plus rapide. (par défaut : 1) | INT | Oui | 1 à 16 |
+
+## Sorties
+
+| Nom de sortie | Description | Type de données |
+|---------------|-------------|-----------------|
+| `point_cloud` | Un objet nuage de points contenant les points 3D filtrés, les couleurs optionnelles et les valeurs de confiance optionnelles | DA3_POINT_CLOUD |
+
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/fr.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ja.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ja.md
new file mode 100644
index 000000000..16e0d1239
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ja.md
@@ -0,0 +1,24 @@
+# DA3 ジオメトリをポイントクラウドに変換
+
+このノードは、DA3_GEOMETRY オブジェクトから深度マップを3Dポイントクラウドに変換します。信頼度マスクと空マスクに基づいてフィルタリングを適用し、マルチビューシーンに適した共通のワールド座標系にポイントを変換します。
+
+## 入力
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 深度データとオプションの画像、信頼度、空マップを含む DA3_GEOMETRY オブジェクト | DA3_GEOMETRY | はい | - |
+| `batch_index` | バッチ内のどの画像を変換するか（デフォルト：0） | INT | はい | 0 から 4096 |
+| `confidence_threshold` | 画像ごとの正規化された信頼度がこの値を下回るピクセルを除外します（0 = すべて保持）。ジオメトリに信頼度マップがある場合（Small/Baseモデル）に使用されます。（デフォルト：0.1） | FLOAT | はい | 0.0 から 1.0 |
+| `use_sky_mask` | 空の確率が高いピクセル（空 >= 0.5）を除外します。ジオメトリに空マップがある場合（Mono/Metricモデル）に使用されます。（デフォルト：True） | BOOLEAN | はい | True または False |
+| `downsample` | Nピクセルごとに1ピクセルを取得します（1 = フル解像度）。値が大きいほどポイント数が減り、処理が高速化します。（デフォルト：1） | INT | はい | 1 から 16 |
+
+## 出力
+
+| 出力名 | 説明 | データ型 |
+|-------------|-------------|-----------|
+| `point_cloud` | フィルタリングされた3Dポイント、オプションの色、およびオプションの信頼度値を含むポイントクラウドオブジェクト | DA3_POINT_CLOUD |
+
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ja.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ko.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ko.md
new file mode 100644
index 000000000..27ef0397f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ko.md
@@ -0,0 +1,24 @@
+# DA3 지오메트리를 포인트 클라우드로 변환
+
+이 노드는 DA3_GEOMETRY 객체의 깊이 맵을 3D 포인트 클라우드로 변환합니다. 신뢰도 및 하늘 마스크를 기반으로 필터링을 적용하며, 다중 뷰 장면에 적합한 공통 월드 좌표계로 포인트를 변환합니다.
+
+## 입력
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 깊이 데이터와 선택적 이미지, 신뢰도 및 하늘 맵을 포함하는 DA3_GEOMETRY 객체 | DA3_GEOMETRY | 예 | - |
+| `batch_index` | 배치 중 변환할 이미지 (기본값: 0) | INT | 예 | 0 ~ 4096 |
+| `confidence_threshold` | 이미지별 정규화된 신뢰도가 이 값보다 낮은 픽셀을 제외합니다 (0 = 모두 유지). 지오메트리에 신뢰도 맵이 있는 경우 사용됩니다 (Small/Base 모델). (기본값: 0.1) | FLOAT | 예 | 0.0 ~ 1.0 |
+| `use_sky_mask` | 하늘 확률 픽셀(하늘 >= 0.5)을 제외합니다. 지오메트리에 하늘 맵이 있는 경우 사용됩니다 (Mono/Metric 모델). (기본값: True) | BOOLEAN | 예 | True 또는 False |
+| `downsample` | 매 N번째 픽셀을 사용합니다 (1 = 전체 해상도). 값이 높을수록 포인트가 적어지고 처리 속도가 빨라집니다. (기본값: 1) | INT | 예 | 1 ~ 16 |
+
+## 출력
+
+| 출력 이름 | 설명 | 데이터 타입 |
+|-------------|-------------|-----------|
+| `point_cloud` | 필터링된 3D 포인트, 선택적 색상 및 선택적 신뢰도 값을 포함하는 포인트 클라우드 객체 | DA3_POINT_CLOUD |
+
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ko.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/pt-BR.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/pt-BR.md
new file mode 100644
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+++ b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/pt-BR.md
@@ -0,0 +1,24 @@
+# Converter Geometria DA3 em Nuvem de Pontos
+
+Este nó converte um mapa de profundidade de um objeto DA3_GEOMETRY em uma nuvem de pontos 3D. Ele aplica filtragem com base em máscaras de confiança e céu, e transforma os pontos em um sistema de coordenadas mundial comum adequado para cenas multivisão.
+
+## Entradas
+
+| Parâmetro | Descrição | Tipo de Dados | Obrigatório | Faixa |
+|-----------|-----------|---------------|-------------|-------|
+| `da3_geometry` | O objeto DA3_GEOMETRY contendo dados de profundidade e mapas opcionais de imagem, confiança e céu | DA3_GEOMETRY | Sim | - |
+| `batch_index` | Qual imagem de um lote converter (padrão: 0) | INT | Sim | 0 a 4096 |
+| `confidence_threshold` | Excluir pixels cuja confiança normalizada por imagem esteja abaixo deste valor (0 = manter todos). Usado quando a geometria possui um mapa de confiança (modelos Small/Base). (padrão: 0,1) | FLOAT | Sim | 0,0 a 1,0 |
+| `use_sky_mask` | Excluir pixels com probabilidade de céu (céu >= 0,5). Usado quando a geometria possui um mapa de céu (modelos Mono/Metric). (padrão: Verdadeiro) | BOOLEAN | Sim | Verdadeiro ou Falso |
+| `downsample` | Pegar cada enésimo pixel (1 = resolução total). Valores maiores geram menos pontos e processamento mais rápido. (padrão: 1) | INT | Sim | 1 a 16 |
+
+## Saídas
+
+| Nome da Saída | Descrição | Tipo de Dados |
+|---------------|-----------|---------------|
+| `point_cloud` | Um objeto de nuvem de pontos contendo pontos 3D filtrados, cores opcionais e valores de confiança opcionais | DA3_POINT_CLOUD |
+
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/pt-BR.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ru.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ru.md
new file mode 100644
index 000000000..842af713c
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@@ -0,0 +1,24 @@
+# Преобразование DA3 Geometry в облако точек
+
+Этот узел преобразует карту глубины из объекта DA3_GEOMETRY в трёхмерное облако точек. Он применяет фильтрацию на основе карт уверенности и неба, а также преобразует точки в общую мировую систему координат, подходящую для многовидовых сцен.
+
+## Входные параметры
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `da3_geometry` | Объект DA3_GEOMETRY, содержащий данные глубины и опционально изображение, карты уверенности и неба | DA3_GEOMETRY | Да | - |
+| `batch_index` | Какое изображение из пакета преобразовывать (по умолчанию: 0) | INT | Да | от 0 до 4096 |
+| `confidence_threshold` | Исключить пиксели, чья нормализованная уверенность ниже этого значения (0 = оставить все). Используется, когда геометрия содержит карту уверенности (модели Small/Base). (по умолчанию: 0.1) | FLOAT | Да | от 0.0 до 1.0 |
+| `use_sky_mask` | Исключить пиксели с вероятностью неба (небо >= 0.5). Используется, когда геометрия содержит карту неба (модели Mono/Metric). (по умолчанию: True) | BOOLEAN | Да | True или False |
+| `downsample` | Брать каждый N-й пиксель (1 = полное разрешение). Более высокие значения дают меньше точек и более быструю обработку. (по умолчанию: 1) | INT | Да | от 1 до 16 |
+
+## Выходные параметры
+
+| Имя выхода | Описание | Тип данных |
+|------------|----------|------------|
+| `point_cloud` | Объект облака точек, содержащий отфильтрованные 3D-точки, опциональные цвета и опциональные значения уверенности | DA3_POINT_CLOUD |
+
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/ru.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/tr.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/tr.md
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+# DA3 Geometrisini Nokta Bulutuna Dönüştür
+
+Bu düğüm, bir DA3_GEOMETRY nesnesinden alınan derinlik haritasını 3B nokta bulutuna dönüştürür. Güven ve gökyüzü maskelerine dayalı filtreleme uygular ve noktaları çoklu görünüm senaryolarına uygun ortak bir dünya koordinat sistemine dönüştürür.
+
+## Girişler
+
+| Parametre | Açıklama | Veri Türü | Zorunlu | Aralık |
+|-----------|----------|-----------|----------|--------|
+| `da3_geometry` | Derinlik verileri ve isteğe bağlı görüntü, güven ve gökyüzü haritalarını içeren DA3_GEOMETRY nesnesi | DA3_GEOMETRY | Evet | - |
+| `batch_index` | Dönüştürülecek toplu işteki görüntü indeksi (varsayılan: 0) | INT | Evet | 0 ile 4096 |
+| `confidence_threshold` | Görüntü başına normalleştirilmiş güven değeri bu değerin altında olan pikselleri hariç tut (0 = tümünü tut). Geometride güven haritası olduğunda kullanılır (Küçük/Temel modeller). (varsayılan: 0.1) | FLOAT | Evet | 0.0 ile 1.0 |
+| `use_sky_mask` | Gökyüzü olasılığı olan pikselleri hariç tut (gökyüzü >= 0.5). Geometride gökyüzü haritası olduğunda kullanılır (Tek/Metrik modeller). (varsayılan: True) | BOOLEAN | Evet | True veya False |
+| `downsample` | Her N. pikseli al (1 = tam çözünürlük). Daha yüksek değerler daha az nokta ve daha hızlı işleme sağlar. (varsayılan: 1) | INT | Evet | 1 ile 16 |
+
+## Çıkışlar
+
+| Çıkış Adı | Açıklama | Veri Türü |
+|-----------|----------|-----------|
+| `point_cloud` | Filtrelenmiş 3B noktalar, isteğe bağlı renkler ve isteğe bağlı güven değerleri içeren nokta bulutu nesnesi | DA3_POINT_CLOUD |
+
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/tr.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/zh-TW.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/zh-TW.md
new file mode 100644
index 000000000..9eed78438
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+++ b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/zh-TW.md
@@ -0,0 +1,24 @@
+# 將 DA3 幾何圖形轉換為點雲
+
+此節點將來自 DA3_GEOMETRY 物件的深度圖轉換為 3D 點雲。它會根據置信度和天空遮罩進行過濾，並將點轉換為適用於多視角場景的通用世界座標系統。
+
+## ## 輸入
+
+| 參數 | 說明 | 資料類型 | 必要 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 包含深度資料以及可選的影像、置信度和天空地圖的 DA3_GEOMETRY 物件 | DA3_GEOMETRY | 是 | - |
+| `batch_index` | 要轉換的批次中的哪一張影像（預設值：0） | INT | 是 | 0 至 4096 |
+| `confidence_threshold` | 排除每張影像正規化置信度低於此值的像素（0 = 保留所有）。當幾何圖形具有置信度地圖（小型/基礎模型）時使用。（預設值：0.1） | FLOAT | 是 | 0.0 至 1.0 |
+| `use_sky_mask` | 排除天空機率像素（天空 >= 0.5）。當幾何圖形具有天空地圖（單目/度量模型）時使用。（預設值：True） | BOOLEAN | 是 | True 或 False |
+| `downsample` | 每隔 N 個像素取一個（1 = 完整解析度）。數值越大，點數越少，處理速度越快。（預設值：1） | INT | 是 | 1 至 16 |
+
+## ## 輸出
+
+| 輸出名稱 | 說明 | 資料類型 |
+|-------------|-------------|-----------|
+| `point_cloud` | 包含過濾後的 3D 點、可選顏色和可選置信度值的點雲物件 | DA3_POINT_CLOUD |
+
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/zh-TW.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/zh.md b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/zh.md
new file mode 100644
index 000000000..834ab1de7
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+++ b/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/zh.md
@@ -0,0 +1,24 @@
+# 将 DA3 几何体转换为点云
+
+此节点将 DA3_GEOMETRY 对象中的深度图转换为 3D 点云。它会根据置信度和天空遮罩进行过滤，并将点转换到适用于多视角场景的通用世界坐标系中。
+
+## 输入
+
+| 参数 | 描述 | 数据类型 | 必填 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 包含深度数据以及可选的图像、置信度和天空图的 DA3_GEOMETRY 对象 | DA3_GEOMETRY | 是 | - |
+| `batch_index` | 要转换的批次中的图像索引（默认值：0） | INT | 是 | 0 至 4096 |
+| `confidence_threshold` | 排除每张图像归一化置信度低于此值的像素（0 = 保留所有像素）。当几何体包含置信度图时使用（小型/基础模型）。（默认值：0.1） | FLOAT | 是 | 0.0 至 1.0 |
+| `use_sky_mask` | 排除天空概率像素（天空概率 >= 0.5）。当几何体包含天空图时使用（单目/度量模型）。（默认值：True） | BOOLEAN | 是 | True 或 False |
+| `downsample` | 每第 N 个像素取一个（1 = 全分辨率）。值越大，点越少，处理速度越快。（默认值：1） | INT | 是 | 1 至 16 |
+
+## 输出
+
+| 输出名称 | 描述 | 数据类型 |
+|-------------|-------------|-----------|
+| `point_cloud` | 包含过滤后的 3D 点、可选颜色和可选置信度值的点云对象 | DA3_POINT_CLOUD |
+
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3GeometryToPointCloud/zh.md)
+
+---
+**Source fingerprint (SHA-256):** `3cf5bdbb8afdfcfc02f9832a8cbc5a3df49da755dea6df01792aa6ef9e5d7287`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/ar.md b/comfyui_embedded_docs/docs/DA3Inference/ar.md
new file mode 100644
index 000000000..5aa223c56
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Inference/ar.md
@@ -0,0 +1,32 @@
+# تشغيل Depth Anything 3
+
+تقوم هذه العقدة بتشغيل نموذج Depth Anything 3 على صورة لتقدير معلومات العمق والهندسة. في وضع العرض المتعدد، تتم معالجة صور متعددة معًا كمشاهد منفصلة لنفس المشهد لإنتاج خرائط عمق متسقة هندسيًا وتحديد مواضع الكاميرا.
+
+## المدخلات
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|---------------|---------|--------|
+| `da3_model` | نموذج Depth Anything 3 المستخدم للاستدلال | DA3_MODEL | نعم | - |
+| `image` | الصورة أو الصور المدخلة للمعالجة | IMAGE | نعم | - |
+| `resolution` | الدقة التي يعمل بها النموذج (الضلع الأطول، مضاعف 14). القيم المنخفضة أسرع وتستخدم ذاكرة فيديو أقل. القيم الأعلى تنتج تفاصيل أكثر. يتم إعادة رفع دقة المخرجات إلى الحجم الأصلي (الافتراضي: 504) | INT | نعم | 140 إلى 2520 (خطوة: 14) |
+| `resize_method` | upper_bound_resize: تغيير الحجم بحيث يساوي الضلع الأطول الدقة (يحد من استهلاك الذاكرة، افتراضي). lower_bound_resize: تغيير الحجم بحيث يساوي الضلع الأقصر الدقة (يحافظ على تفاصيل أكثر في الصور الطويلة/العريضة، يستخدم ذاكرة أكثر) | COMBO | نعم | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono: معالجة صورة واحدة (يعمل مع أي نموذج). multiview: معالجة جميع الصور معًا لتحقيق الاتساق الهندسي وتقدير موضع الكاميرا (لنماذج Small وBase فقط) | COMBO | نعم | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | أي عرض يعمل كمرجع هندسي في وضع العرض المتعدد. saddle_balanced: العرض الأكثر توسطًا بين جميع العروض الأخرى (أفضل خيار عام). saddle_sim_range: العرض الأكثر اختلافًا بصريًا عن البقية. first / middle: اختيارات موضعية ثابتة | COMBO | لا (مشروط) | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | كيفية تقدير مجال رؤية الكاميرا (لنماذج Small وBase فقط). cam_dec: يُتعلم من خصائص الصورة. ray_pose: يُشتق هندسيًا من مخرجات الأشعة ثلاثية الأبعاد للنموذج. يؤثر على صحة المنظور في المخرجات ثلاثية الأبعاد | COMBO | لا (مشروط) | `"cam_dec"`
`"ray_pose"` |
+
+**ملاحظات حول قيود المعاملات:**
+- معاملا `ref_view_strategy` و`pose_method` متاحان فقط عندما تكون قيمة `mode` هي `"multiview"`
+- وضع العرض المتعدد يتطلب نموذجًا من نوع Small أو Base. النماذج ذات أنواع الرؤوس الأخرى (مثل Metric أو Mono) لا تدعم الانتباه عبر العروض أو تقدير موضع الكاميرا
+- عندما تكون قيمة `pose_method` هي `"cam_dec"`، يجب أن يحتوي النموذج على مفكك تشفير للكاميرا. إذا كانت القيمة `"ray_pose"`، يجب أن يحتوي النموذج على رأس DualDPT
+- إذا كانت طريقة `pose_method` المحددة غير متوافقة مع النموذج المحمل، سيتم إظهار خطأ
+
+## المخرجات
+
+| اسم المخرج | الوصف | نوع البيانات |
+|------------|-------|---------------|
+| `da3_geometry` | قاموس من المصفوفات غير المعيارية. يحتوي دائمًا على المفاتيح: depth, image, mode. المفاتيح الاختيارية تشمل: sky (لنماذج Mono/Metric)، confidence (لنماذج Small/Base)، extrinsics وintrinsics (لوضع العرض المتعدد) | DA3_GEOMETRY |
+
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/ar.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/en.md b/comfyui_embedded_docs/docs/DA3Inference/en.md
new file mode 100644
index 000000000..0c0aef1d2
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Inference/en.md
@@ -0,0 +1,32 @@
+# Run Depth Anything 3
+
+This node runs the Depth Anything 3 model on an image to estimate depth and geometry information. In multi-view mode, multiple images are processed together as separate views of the same scene to produce geometrically consistent depth maps and camera poses.
+
+## Inputs
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `da3_model` | The Depth Anything 3 model to use for inference | DA3_MODEL | Yes | - |
+| `image` | Input image or images to process | IMAGE | Yes | - |
+| `resolution` | Resolution the model runs at (longest side, multiple of 14). Lower values are faster and use less VRAM. Higher values produce more detail. The output is upsampled back to the original size (default: 504) | INT | Yes | 140 to 2520 (step: 14) |
+| `resize_method` | upper_bound_resize: scale so the longest side equals the resolution (caps memory, default). lower_bound_resize: scale so the shortest side equals the resolution (preserves more detail on tall/wide images, uses more memory) | COMBO | Yes | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono: single view image processing (works with any model variant). multiview: all images processed together for geometric consistency and camera pose estimation (for Small and Base models only) | COMBO | Yes | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | Which view acts as the geometric anchor in multi-view mode. saddle_balanced: the view most average across all others (best general choice). saddle_sim_range: the view most visually distinct from the others. first / middle: fixed positional picks | COMBO | No (conditional) | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | How the camera field-of-view is estimated (for Small and Base models only). cam_dec: learned from image features. ray_pose: derived geometrically from the model's 3D ray output. Affects perspective correctness of the 3D output | COMBO | No (conditional) | `"cam_dec"`
`"ray_pose"` |
+
+**Notes on parameter constraints:**
+- The `ref_view_strategy` and `pose_method` parameters are only available when `mode` is set to `"multiview"`
+- Multi-view mode requires a Small or Base model variant. Models with other head types (such as Metric or Mono) do not support cross-view attention or camera pose estimation
+- When `pose_method` is set to `"cam_dec"`, the model must have a camera decoder. If set to `"ray_pose"`, the model must have a DualDPT head
+- If the selected `pose_method` is not compatible with the loaded model, an error will be raised
+
+## Outputs
+
+| Output Name | Description | Data Type |
+|-------------|-------------|-----------|
+| `da3_geometry` | Dictionary of non-normalized tensors. Always contains the keys: depth, image, mode. Optional keys include: sky (for Mono/Metric models), confidence (for Small/Base models), extrinsics and intrinsics (for multi-view mode) | DA3_GEOMETRY |
+
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/en.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/es.md b/comfyui_embedded_docs/docs/DA3Inference/es.md
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,32 @@
+# Ejecutar Depth Anything 3
+
+Este nodo ejecuta el modelo Depth Anything 3 en una imagen para estimar información de profundidad y geometría. En modo multivista, se procesan múltiples imágenes juntas como vistas separadas de la misma escena para producir mapas de profundidad geométricamente consistentes y poses de cámara.
+
+## Entradas
+
+| Parámetro | Descripción | Tipo de Dato | Obligatorio | Rango |
+|-----------|-------------|--------------|-------------|-------|
+| `da3_model` | El modelo Depth Anything 3 a utilizar para la inferencia | DA3_MODEL | Sí | - |
+| `image` | Imagen o imágenes de entrada a procesar | IMAGE | Sí | - |
+| `resolution` | Resolución a la que se ejecuta el modelo (lado más largo, múltiplo de 14). Valores más bajos son más rápidos y usan menos VRAM. Valores más altos producen más detalle. La salida se redimensiona nuevamente al tamaño original (predeterminado: 504) | INT | Sí | 140 a 2520 (paso: 14) |
+| `resize_method` | upper_bound_resize: escala para que el lado más largo sea igual a la resolución (limita memoria, predeterminado). lower_bound_resize: escala para que el lado más corto sea igual a la resolución (preserva más detalle en imágenes altas/anchas, usa más memoria) | COMBO | Sí | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono: procesamiento de imagen de vista única (funciona con cualquier variante de modelo). multiview: todas las imágenes se procesan juntas para consistencia geométrica y estimación de pose de cámara (solo para modelos Small y Base) | COMBO | Sí | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | Qué vista actúa como ancla geométrica en modo multivista. saddle_balanced: la vista más promedio entre todas las demás (mejor opción general). saddle_sim_range: la vista más visualmente distinta de las demás. first / middle: selecciones posicionales fijas | COMBO | No (condicional) | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | Cómo se estima el campo de visión de la cámara (solo para modelos Small y Base). cam_dec: aprendido de las características de la imagen. ray_pose: derivado geométricamente de la salida de rayos 3D del modelo. Afecta la corrección de perspectiva de la salida 3D | COMBO | No (condicional) | `"cam_dec"`
`"ray_pose"` |
+
+**Notas sobre restricciones de parámetros:**
+- Los parámetros `ref_view_strategy` y `pose_method` solo están disponibles cuando `mode` está configurado en `"multiview"`
+- El modo multivista requiere una variante de modelo Small o Base. Los modelos con otros tipos de cabezal (como Metric o Mono) no admiten atención entre vistas ni estimación de pose de cámara
+- Cuando `pose_method` está configurado en `"cam_dec"`, el modelo debe tener un decodificador de cámara. Si está configurado en `"ray_pose"`, el modelo debe tener un cabezal DualDPT
+- Si el `pose_method` seleccionado no es compatible con el modelo cargado, se generará un error
+
+## Salidas
+
+| Nombre de Salida | Descripción | Tipo de Dato |
+|------------------|-------------|--------------|
+| `da3_geometry` | Diccionario de tensores no normalizados. Siempre contiene las claves: depth, image, mode. Las claves opcionales incluyen: sky (para modelos Mono/Metric), confidence (para modelos Small/Base), extrinsics e intrinsics (para modo multivista) | DA3_GEOMETRY |
+
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/es.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/fa.md b/comfyui_embedded_docs/docs/DA3Inference/fa.md
new file mode 100644
index 000000000..1b7256c7d
--- /dev/null
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@@ -0,0 +1,32 @@
+# اجرای Depth Anything 3
+
+این گره مدل Depth Anything 3 را روی یک تصویر اجرا میکند تا اطلاعات عمق و هندسه را تخمین بزند. در حالت چندنمایی، چندین تصویر بهعنوان نماهای مجزای یک صحنه با هم پردازش میشوند تا نقشههای عمق هندسی سازگار و موقعیتهای دوربین تولید شوند.
+
+## ورودیها
+
+| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
+|---------|---------|----------|--------|--------|
+| `da3_model` | مدل Depth Anything 3 برای استنتاج | DA3_MODEL | بله | - |
+| `image` | تصویر یا تصاویر ورودی برای پردازش | IMAGE | بله | - |
+| `resolution` | وضوح اجرای مدل (طولانیترین ضلع، مضرب ۱۴). مقادیر پایینتر سریعتر بوده و حافظه ویدئویی کمتری مصرف میکنند. مقادیر بالاتر جزئیات بیشتری تولید میکنند. خروجی به اندازه اصلی بازنمونهبرداری میشود (پیشفرض: ۵۰۴) | INT | بله | ۱۴۰ تا ۲۵۲۰ (گام: ۱۴) |
+| `resize_method` | upper_bound_resize: مقیاسدهی بهگونهای که طولانیترین ضلع برابر وضوح شود (مصرف حافظه را محدود میکند، پیشفرض). lower_bound_resize: مقیاسدهی بهگونهای که کوتاهترین ضلع برابر وضوح شود (جزئیات بیشتری را در تصاویر بلند/عریض حفظ میکند، حافظه بیشتری مصرف میکند) | COMBO | بله | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono: پردازش تصویر تکنمایی (با هر نوع مدلی کار میکند). multiview: همه تصاویر برای سازگاری هندسی و تخمین موقعیت دوربین با هم پردازش میشوند (فقط برای مدلهای Small و Base) | COMBO | بله | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | تعیین میکند کدام نما بهعنوان لنگر هندسی در حالت چندنمایی عمل کند. saddle_balanced: نمایی که میانگینترین نسبت به سایر نماهاست (بهترین گزینه عمومی). saddle_sim_range: نمایی که از نظر بصری بیشترین تفاوت را با سایر نماها دارد. first / middle: انتخابهای موقعیتی ثابت | COMBO | خیر (مشروط) | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | نحوه تخمین میدان دید دوربین (فقط برای مدلهای Small و Base). cam_dec: یادگیری از ویژگیهای تصویر. ray_pose: استخراج هندسی از خروجی پرتو سهبعدی مدل. بر صحت پرسپکتیو خروجی سهبعدی تأثیر میگذارد | COMBO | خیر (مشروط) | `"cam_dec"`
`"ray_pose"` |
+
+**نکاتی درباره محدودیتهای پارامترها:**
+- پارامترهای `ref_view_strategy` و `pose_method` فقط زمانی در دسترس هستند که `mode` روی `"multiview"` تنظیم شده باشد
+- حالت چندنمایی به یک نوع مدل Small یا Base نیاز دارد. مدلهایی با انواع سر دیگر (مانند Metric یا Mono) از توجه بیننمایی یا تخمین موقعیت دوربین پشتیبانی نمیکنند
+- وقتی `pose_method` روی `"cam_dec"` تنظیم شده باشد، مدل باید دارای رمزگشای دوربین باشد. اگر روی `"ray_pose"` تنظیم شود، مدل باید دارای سر DualDPT باشد
+- اگر `pose_method` انتخابشده با مدل بارگذاریشده سازگار نباشد، خطا ایجاد میشود
+
+## خروجیها
+
+| نام خروجی | توضیحات | نوع داده |
+|-----------|---------|----------|
+| `da3_geometry` | فرهنگ لغت تنسورهای غیرنرمالشده. همیشه شامل کلیدهای: depth، image، mode است. کلیدهای اختیاری شامل: sky (برای مدلهای Mono/Metric)، confidence (برای مدلهای Small/Base)، extrinsics و intrinsics (برای حالت چندنمایی) | DA3_GEOMETRY |
+
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/fa.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/fr.md b/comfyui_embedded_docs/docs/DA3Inference/fr.md
new file mode 100644
index 000000000..0b8459618
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Inference/fr.md
@@ -0,0 +1,32 @@
+# Exécuter Depth Anything 3
+
+Ce nœud exécute le modèle Depth Anything 3 sur une image pour estimer les informations de profondeur et de géométrie. En mode multi-vue, plusieurs images sont traitées ensemble comme des vues séparées d'une même scène pour produire des cartes de profondeur géométriquement cohérentes et des poses de caméra.
+
+## Entrées
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `da3_model` | Le modèle Depth Anything 3 à utiliser pour l'inférence | DA3_MODEL | Oui | - |
+| `image` | Image ou images d'entrée à traiter | IMAGE | Oui | - |
+| `resolution` | Résolution à laquelle le modèle fonctionne (côté le plus long, multiple de 14). Les valeurs plus faibles sont plus rapides et utilisent moins de VRAM. Les valeurs plus élevées produisent plus de détails. La sortie est suréchantillonnée à la taille d'origine (par défaut : 504) | INT | Oui | 140 à 2520 (pas : 14) |
+| `resize_method` | upper_bound_resize : redimensionne pour que le côté le plus long soit égal à la résolution (limite la mémoire, par défaut). lower_bound_resize : redimensionne pour que le côté le plus court soit égal à la résolution (préserve plus de détails sur les images hautes/larges, utilise plus de mémoire) | COMBO | Oui | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono : traitement d'image en vue unique (fonctionne avec toutes les variantes de modèle). multiview : toutes les images sont traitées ensemble pour la cohérence géométrique et l'estimation de pose de caméra (pour les modèles Small et Base uniquement) | COMBO | Oui | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | Quelle vue sert d'ancrage géométrique en mode multi-vue. saddle_balanced : la vue la plus moyenne par rapport à toutes les autres (meilleur choix général). saddle_sim_range : la vue la plus visuellement distincte des autres. first / middle : sélections positionnelles fixes | COMBO | Non (conditionnel) | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | Comment le champ de vision de la caméra est estimé (pour les modèles Small et Base uniquement). cam_dec : appris à partir des caractéristiques de l'image. ray_pose : dérivé géométriquement de la sortie de rayons 3D du modèle. Affecte la correction de perspective de la sortie 3D | COMBO | Non (conditionnel) | `"cam_dec"`
`"ray_pose"` |
+
+**Remarques sur les contraintes des paramètres :**
+- Les paramètres `ref_view_strategy` et `pose_method` sont disponibles uniquement lorsque `mode` est défini sur `"multiview"`
+- Le mode multi-vue nécessite une variante de modèle Small ou Base. Les modèles avec d'autres types de tête (comme Metric ou Mono) ne prennent pas en charge l'attention inter-vues ou l'estimation de pose de caméra
+- Lorsque `pose_method` est défini sur `"cam_dec"`, le modèle doit disposer d'un décodeur de caméra. S'il est défini sur `"ray_pose"`, le modèle doit avoir une tête DualDPT
+- Si le `pose_method` sélectionné n'est pas compatible avec le modèle chargé, une erreur sera générée
+
+## Sorties
+
+| Nom de sortie | Description | Type de données |
+|---------------|-------------|-----------------|
+| `da3_geometry` | Dictionnaire de tenseurs non normalisés. Contient toujours les clés : depth, image, mode. Les clés optionnelles incluent : sky (pour les modèles Mono/Metric), confidence (pour les modèles Small/Base), extrinsics et intrinsics (pour le mode multi-vue) | DA3_GEOMETRY |
+
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/fr.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/ja.md b/comfyui_embedded_docs/docs/DA3Inference/ja.md
new file mode 100644
index 000000000..3149ada59
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Inference/ja.md
@@ -0,0 +1,32 @@
+# Run Depth Anything 3
+
+このノードは、Depth Anything 3 モデルを画像に適用し、深度と幾何学情報を推定します。マルチビューモードでは、複数の画像を同一シーンの別々のビューとしてまとめて処理し、幾何学的に一貫した深度マップとカメラポーズを生成します。
+
+## 入力
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_model` | 推論に使用する Depth Anything 3 モデル | DA3_MODEL | はい | - |
+| `image` | 処理する入力画像（複数可） | IMAGE | はい | - |
+| `resolution` | モデルが動作する解像度（最長辺、14の倍数）。値が小さいほど高速でVRAM使用量が少なくなります。値が大きいほど詳細な結果が得られます。出力は元のサイズにアップサンプリングされます（デフォルト：504） | INT | はい | 140～2520（ステップ：14） |
+| `resize_method` | upper_bound_resize：最長辺が解像度と一致するようにスケーリング（メモリを抑える、デフォルト）。lower_bound_resize：最短辺が解像度と一致するようにスケーリング（縦長/横長の画像で詳細を保持、メモリ使用量増加） | COMBO | はい | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono：単一ビュー画像処理（すべてのモデルバリアントで動作）。multiview：すべての画像をまとめて処理し、幾何学的一貫性とカメラポーズ推定を実現（SmallおよびBaseモデルのみ） | COMBO | はい | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | マルチビューモードで幾何学的アンカーとなるビュー。saddle_balanced：他のすべてのビューに対して最も平均的なビュー（一般的に最適）。saddle_sim_range：他のビューと最も視覚的に異なるビュー。first / middle：固定位置による選択 | COMBO | いいえ（条件付き） | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | カメラの視野角の推定方法（SmallおよびBaseモデルのみ）。cam_dec：画像特徴から学習。ray_pose：モデルの3Dレイ出力から幾何学的に導出。3D出力の遠近感の正確さに影響します | COMBO | いいえ（条件付き） | `"cam_dec"`
`"ray_pose"` |
+
+**パラメータ制約に関する注意事項：**
+- `ref_view_strategy` および `pose_method` パラメータは、`mode` が `"multiview"` に設定されている場合のみ使用可能です
+- マルチビューモードには Small または Base モデルバリアントが必要です。他のヘッドタイプ（Metric や Mono など）のモデルは、クロスビューアテンションやカメラポーズ推定をサポートしていません
+- `pose_method` が `"cam_dec"` に設定されている場合、モデルにカメラデコーダが必要です。`"ray_pose"` に設定されている場合、モデルに DualDPT ヘッドが必要です
+- 選択した `pose_method` が読み込まれたモデルと互換性がない場合、エラーが発生します
+
+## 出力
+
+| 出力名 | 説明 | データ型 |
+|-------------|-------------|-----------|
+| `da3_geometry` | 非正規化テンソルの辞書。常に depth、image、mode のキーを含みます。オプションのキーには、sky（Mono/Metricモデル用）、confidence（Small/Baseモデル用）、extrinsics および intrinsics（マルチビューモード用）があります | DA3_GEOMETRY |
+
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/ja.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/ko.md b/comfyui_embedded_docs/docs/DA3Inference/ko.md
new file mode 100644
index 000000000..c5f4ae937
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Inference/ko.md
@@ -0,0 +1,32 @@
+# Run Depth Anything 3 실행
+
+이 노드는 이미지에 Depth Anything 3 모델을 실행하여 깊이와 형상 정보를 추정합니다. 다중 뷰 모드에서는 여러 이미지를 동일한 장면의 서로 다른 뷰로 함께 처리하여 기하학적으로 일관된 깊이 맵과 카메라 포즈를 생성합니다.
+
+## 입력
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_model` | 추론에 사용할 Depth Anything 3 모델 | DA3_MODEL | 예 | - |
+| `image` | 처리할 입력 이미지 또는 이미지들 | IMAGE | 예 | - |
+| `resolution` | 모델이 실행되는 해상도(가장 긴 변 기준, 14의 배수). 값이 낮을수록 빠르고 VRAM을 적게 사용합니다. 값이 높을수록 더 세밀한 결과를 제공합니다. 출력은 원본 크기로 업스케일링됩니다(기본값: 504) | INT | 예 | 140 ~ 2520 (간격: 14) |
+| `resize_method` | upper_bound_resize: 가장 긴 변이 해상도와 같아지도록 크기 조정(메모리 제한, 기본값). lower_bound_resize: 가장 짧은 변이 해상도와 같아지도록 크기 조정(세로/가로가 긴 이미지에서 더 많은 세부 정보 보존, 더 많은 메모리 사용) | COMBO | 예 | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono: 단일 뷰 이미지 처리(모든 모델 변형에서 작동). multiview: 모든 이미지를 함께 처리하여 기하학적 일관성과 카메라 포즈 추정(Small 및 Base 모델만 해당) | COMBO | 예 | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | 다중 뷰 모드에서 기하학적 기준점 역할을 하는 뷰. saddle_balanced: 다른 모든 뷰와 가장 평균적인 뷰(일반적으로 최선의 선택). saddle_sim_range: 다른 뷰와 시각적으로 가장 구별되는 뷰. first / middle: 고정된 위치 선택 | COMBO | 아니요(조건부) | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | 카메라 시야각 추정 방법(Small 및 Base 모델만 해당). cam_dec: 이미지 특징에서 학습. ray_pose: 모델의 3D 광선 출력에서 기하학적으로 도출. 3D 출력의 원근 정확도에 영향을 미칩니다 | COMBO | 아니요(조건부) | `"cam_dec"`
`"ray_pose"` |
+
+**매개변수 제약 조건 참고사항:**
+- `ref_view_strategy` 및 `pose_method` 매개변수는 `mode`가 `"multiview"`로 설정된 경우에만 사용 가능합니다
+- 다중 뷰 모드는 Small 또는 Base 모델 변형이 필요합니다. 다른 헤드 유형(Metric 또는 Mono 등)의 모델은 교차 뷰 주의 메커니즘 또는 카메라 포즈 추정을 지원하지 않습니다
+- `pose_method`가 `"cam_dec"`로 설정된 경우 모델에 카메라 디코더가 있어야 합니다. `"ray_pose"`로 설정된 경우 모델에 DualDPT 헤드가 있어야 합니다
+- 선택한 `pose_method`가 로드된 모델과 호환되지 않으면 오류가 발생합니다
+
+## 출력
+
+| 출력 이름 | 설명 | 데이터 타입 |
+|-------------|-------------|-----------|
+| `da3_geometry` | 정규화되지 않은 텐서의 딕셔너리입니다. 항상 depth, image, mode 키를 포함합니다. 선택적 키로는 sky(Mono/Metric 모델용), confidence(Small/Base 모델용), extrinsics 및 intrinsics(다중 뷰 모드용)가 있습니다 | DA3_GEOMETRY |
+
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/ko.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/pt-BR.md b/comfyui_embedded_docs/docs/DA3Inference/pt-BR.md
new file mode 100644
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+++ b/comfyui_embedded_docs/docs/DA3Inference/pt-BR.md
@@ -0,0 +1,32 @@
+# Executar Depth Anything 3
+
+Este nó executa o modelo Depth Anything 3 em uma imagem para estimar informações de profundidade e geometria. No modo multivisão, múltiplas imagens são processadas em conjunto como visões separadas da mesma cena para produzir mapas de profundidade geometricamente consistentes e poses de câmera.
+
+## Entradas
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-----------|--------------|-------------|-------|
+| `da3_model` | O modelo Depth Anything 3 a ser usado para inferência | DA3_MODEL | Sim | - |
+| `image` | Imagem ou imagens de entrada para processar | IMAGE | Sim | - |
+| `resolution` | Resolução na qual o modelo opera (lado mais longo, múltiplo de 14). Valores menores são mais rápidos e usam menos VRAM. Valores maiores produzem mais detalhes. A saída é redimensionada de volta ao tamanho original (padrão: 504) | INT | Sim | 140 a 2520 (passo: 14) |
+| `resize_method` | upper_bound_resize: redimensiona para que o lado mais longo seja igual à resolução (limita memória, padrão). lower_bound_resize: redimensiona para que o lado mais curto seja igual à resolução (preserva mais detalhes em imagens altas/largas, usa mais memória) | COMBO | Sim | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono: processamento de imagem de visão única (funciona com qualquer variante do modelo). multiview: todas as imagens processadas em conjunto para consistência geométrica e estimativa de pose de câmera (apenas para modelos Small e Base) | COMBO | Sim | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | Qual visão atua como âncora geométrica no modo multivisão. saddle_balanced: a visão mais média entre todas as outras (melhor escolha geral). saddle_sim_range: a visão mais visualmente distinta das demais. first / middle: seleções posicionais fixas | COMBO | Não (condicional) | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | Como o campo de visão da câmera é estimado (apenas para modelos Small e Base). cam_dec: aprendido a partir das características da imagem. ray_pose: derivado geometricamente da saída de raios 3D do modelo. Afeta a correção de perspectiva da saída 3D | COMBO | Não (condicional) | `"cam_dec"`
`"ray_pose"` |
+
+**Observações sobre restrições de parâmetros:**
+- Os parâmetros `ref_view_strategy` e `pose_method` estão disponíveis apenas quando `mode` está definido como `"multiview"`
+- O modo multivisão requer uma variante de modelo Small ou Base. Modelos com outros tipos de cabeçote (como Metric ou Mono) não suportam atenção entre visões ou estimativa de pose de câmera
+- Quando `pose_method` está definido como `"cam_dec"`, o modelo deve ter um decodificador de câmera. Se definido como `"ray_pose"`, o modelo deve ter um cabeçote DualDPT
+- Se o `pose_method` selecionado não for compatível com o modelo carregado, um erro será gerado
+
+## Saídas
+
+| Nome da Saída | Descrição | Tipo de Dado |
+|---------------|-----------|--------------|
+| `da3_geometry` | Dicionário de tensores não normalizados. Sempre contém as chaves: depth, image, mode. Chaves opcionais incluem: sky (para modelos Mono/Metric), confidence (para modelos Small/Base), extrinsics e intrinsics (para modo multivisão) | DA3_GEOMETRY |
+
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/pt-BR.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/ru.md b/comfyui_embedded_docs/docs/DA3Inference/ru.md
new file mode 100644
index 000000000..a0f37864d
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@@ -0,0 +1,32 @@
+# Запуск Depth Anything 3
+
+Этот узел запускает модель Depth Anything 3 на изображении для оценки глубины и геометрической информации. В многовидовом режиме несколько изображений обрабатываются совместно как отдельные виды одной сцены для создания геометрически согласованных карт глубины и положений камеры.
+
+## Входные данные
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `da3_model` | Модель Depth Anything 3 для выполнения инференса | DA3_MODEL | Да | - |
+| `image` | Входное изображение или изображения для обработки | IMAGE | Да | - |
+| `resolution` | Разрешение, с которым работает модель (по самой длинной стороне, кратно 14). Меньшие значения работают быстрее и используют меньше видеопамяти. Большие значения дают больше деталей. Результат повышается до исходного размера (по умолчанию: 504) | INT | Да | от 140 до 2520 (шаг: 14) |
+| `resize_method` | upper_bound_resize: масштабирование так, чтобы самая длинная сторона равнялась разрешению (ограничивает память, по умолчанию). lower_bound_resize: масштабирование так, чтобы самая короткая сторона равнялась разрешению (сохраняет больше деталей на высоких/широких изображениях, использует больше памяти) | COMBO | Да | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono: обработка одного изображения (работает с любой версией модели). multiview: все изображения обрабатываются совместно для геометрической согласованности и оценки положения камеры (только для моделей Small и Base) | COMBO | Да | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | Какой вид выступает в качестве геометрического якоря в многовидовом режиме. saddle_balanced: вид, наиболее усреднённый относительно всех остальных (лучший общий выбор). saddle_sim_range: вид, наиболее визуально отличающийся от остальных. first / middle: фиксированные позиционные выборы | COMBO | Нет (условно) | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | Как оценивается поле обзора камеры (только для моделей Small и Base). cam_dec: определяется по признакам изображения. ray_pose: выводится геометрически из 3D-лучевого вывода модели. Влияет на корректность перспективы 3D-результата | COMBO | Нет (условно) | `"cam_dec"`
`"ray_pose"` |
+
+**Примечания по ограничениям параметров:**
+- Параметры `ref_view_strategy` и `pose_method` доступны только когда `mode` установлен в `"multiview"`
+- Многовидовой режим требует версии модели Small или Base. Модели с другими типами головок (например, Metric или Mono) не поддерживают межвидовое внимание или оценку положения камеры
+- Когда `pose_method` установлен в `"cam_dec"`, модель должна иметь декодер камеры. Если установлен в `"ray_pose"`, модель должна иметь головку DualDPT
+- Если выбранный `pose_method` несовместим с загруженной моделью, будет вызвана ошибка
+
+## Выходные данные
+
+| Имя выхода | Описание | Тип данных |
+|------------|----------|------------|
+| `da3_geometry` | Словарь ненормализованных тензоров. Всегда содержит ключи: depth, image, mode. Дополнительные ключи включают: sky (для моделей Mono/Metric), confidence (для моделей Small/Base), extrinsics и intrinsics (для многовидового режима) | DA3_GEOMETRY |
+
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/ru.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/tr.md b/comfyui_embedded_docs/docs/DA3Inference/tr.md
new file mode 100644
index 000000000..e64ed947e
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@@ -0,0 +1,32 @@
+# Run Depth Anything 3
+
+Bu düğüm, bir görüntü üzerinde Depth Anything 3 modelini çalıştırarak derinlik ve geometri bilgilerini tahmin eder. Çoklu görünüm modunda, birden fazla görüntü aynı sahnenin farklı görünümleri olarak birlikte işlenir ve geometrik olarak tutarlı derinlik haritaları ile kamera konumları üretilir.
+
+## Girdiler
+
+| Parametre | Açıklama | Veri Türü | Zorunlu | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `da3_model` | Çıkarım için kullanılacak Depth Anything 3 modeli | DA3_MODEL | Evet | - |
+| `image` | İşlenecek giriş görüntüsü veya görüntüleri | IMAGE | Evet | - |
+| `resolution` | Modelin çalıştığı çözünürlük (en uzun kenar, 14'ün katı). Düşük değerler daha hızlıdır ve daha az VRAM kullanır. Yüksek değerler daha fazla ayrıntı üretir. Çıktı, orijinal boyuta yükseltilir (varsayılan: 504) | INT | Evet | 140 ila 2520 (adım: 14) |
+| `resize_method` | upper_bound_resize: en uzun kenar çözünürlüğe eşit olacak şekilde ölçekler (belleği sınırlar, varsayılan). lower_bound_resize: en kısa kenar çözünürlüğe eşit olacak şekilde ölçekler (uzun/geniş görüntülerde daha fazla ayrıntı korur, daha fazla bellek kullanır) | COMBO | Evet | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono: tek görünümlü görüntü işleme (herhangi bir model çeşidiyle çalışır). multiview: tüm görüntüler geometrik tutarlılık ve kamera konumu tahmini için birlikte işlenir (yalnızca Small ve Base modeller için) | COMBO | Evet | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | Çoklu görünüm modunda hangi görünümün geometrik çapa olarak işlev göreceği. saddle_balanced: diğerlerine en yakın ortalama görünüm (en iyi genel seçenek). saddle_sim_range: diğerlerinden en farklı görsel görünüm. first / middle: sabit sıralı seçimler | COMBO | Hayır (koşullu) | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | Kamera görüş alanının nasıl tahmin edileceği (yalnızca Small ve Base modeller için). cam_dec: görüntü özelliklerinden öğrenilir. ray_pose: modelin 3D ışın çıktısından geometrik olarak türetilir. 3D çıktının perspektif doğruluğunu etkiler | COMBO | Hayır (koşullu) | `"cam_dec"`
`"ray_pose"` |
+
+**Parametre kısıtlamaları hakkında notlar:**
+- `ref_view_strategy` ve `pose_method` parametreleri yalnızca `mode` değeri `"multiview"` olarak ayarlandığında kullanılabilir
+- Çoklu görünüm modu, Small veya Base model çeşidi gerektirir. Diğer başlık türlerine sahip modeller (Metric veya Mono gibi) çapraz görünüm dikkati veya kamera konumu tahminini desteklemez
+- `pose_method` değeri `"cam_dec"` olarak ayarlandığında, modelin bir kamera kod çözücüsü olmalıdır. `"ray_pose"` olarak ayarlandığında, modelin bir DualDPT başlığı olmalıdır
+- Seçilen `pose_method` yüklenen modelle uyumlu değilse, bir hata oluşturulur
+
+## Çıktılar
+
+| Çıktı Adı | Açıklama | Veri Türü |
+|-----------|----------|-----------|
+| `da3_geometry` | Normalleştirilmemiş tensörler sözlüğü. Her zaman şu anahtarları içerir: depth, image, mode. İsteğe bağlı anahtarlar şunları içerir: sky (Mono/Metric modeller için), confidence (Small/Base modeller için), extrinsics ve intrinsics (çoklu görünüm modu için) | DA3_GEOMETRY |
+
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/tr.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/zh-TW.md b/comfyui_embedded_docs/docs/DA3Inference/zh-TW.md
new file mode 100644
index 000000000..41d9d9941
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Inference/zh-TW.md
@@ -0,0 +1,32 @@
+# 執行 Depth Anything 3
+
+此節點在影像上執行 Depth Anything 3 模型，以估算深度和幾何資訊。在多視圖模式下，多張影像會作為同一場景的不同視角一起處理，以產生幾何一致的深度圖和相機姿態。
+
+## ## 輸入
+
+| 參數 | 描述 | 資料類型 | 必要 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_model` | 用於推論的 Depth Anything 3 模型 | DA3_MODEL | 是 | - |
+| `image` | 要處理的輸入影像或影像組 | IMAGE | 是 | - |
+| `resolution` | 模型運行的解析度（最長邊，14 的倍數）。數值越低速度越快且使用較少 VRAM。數值越高可產生更多細節。輸出會上採樣回原始尺寸（預設值：504） | INT | 是 | 140 至 2520（步長：14） |
+| `resize_method` | upper_bound_resize：縮放使最長邊等於解析度（節省記憶體，預設）。lower_bound_resize：縮放使最短邊等於解析度（在長/寬影像上保留更多細節，使用更多記憶體） | COMBO | 是 | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono：單視圖影像處理（適用於任何模型變體）。multiview：所有影像一起處理以達到幾何一致性及相機姿態估算（僅適用於 Small 和 Base 模型） | COMBO | 是 | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | 在多視圖模式下哪個視圖作為幾何錨點。saddle_balanced：與所有其他視圖最平均的視圖（最佳通用選擇）。saddle_sim_range：與其他視圖視覺上最不同的視圖。first / middle：固定的位置選擇 | COMBO | 否（條件式） | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | 如何估算相機視野（僅適用於 Small 和 Base 模型）。cam_dec：從影像特徵學習。ray_pose：從模型的 3D 射線輸出以幾何方式推導。影響 3D 輸出的透視正確性 | COMBO | 否（條件式） | `"cam_dec"`
`"ray_pose"` |
+
+**關於參數限制的說明：**
+- `ref_view_strategy` 和 `pose_method` 參數僅在 `mode` 設定為 `"multiview"` 時可用
+- 多視圖模式需要 Small 或 Base 模型變體。具有其他頭部類型（如 Metric 或 Mono）的模型不支援跨視圖注意力或相機姿態估算
+- 當 `pose_method` 設定為 `"cam_dec"` 時，模型必須具有相機解碼器。若設定為 `"ray_pose"`，模型必須具有 DualDPT 頭部
+- 如果選取的 `pose_method` 與載入的模型不相容，將會引發錯誤
+
+## ## 輸出
+
+| 輸出名稱 | 描述 | 資料類型 |
+|-------------|-------------|-----------|
+| `da3_geometry` | 非標準化張量的字典。始終包含鍵值：depth、image、mode。可選鍵值包括：sky（適用於 Mono/Metric 模型）、confidence（適用於 Small/Base 模型）、extrinsics 和 intrinsics（適用於多視圖模式） | DA3_GEOMETRY |
+
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/zh-TW.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Inference/zh.md b/comfyui_embedded_docs/docs/DA3Inference/zh.md
new file mode 100644
index 000000000..319c065a9
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Inference/zh.md
@@ -0,0 +1,32 @@
+# 运行 Depth Anything 3
+
+此节点在图像上运行 Depth Anything 3 模型，以估算深度和几何信息。在多视图模式下，多张图像作为同一场景的不同视图被一起处理，以生成几何一致的深度图和相机位姿。
+
+## ## 输入
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_model` | 用于推理的 Depth Anything 3 模型 | DA3_MODEL | 是 | - |
+| `image` | 要处理的输入图像或图像集 | IMAGE | 是 | - |
+| `resolution` | 模型运行的分辨率（最长边，14 的倍数）。数值越低，运行速度越快且显存占用越少。数值越高，生成的细节越丰富。输出结果会上采样回原始尺寸（默认值：504） | INT | 是 | 140 至 2520（步长：14） |
+| `resize_method` | upper_bound_resize：缩放使最长边等于分辨率（限制显存，默认值）。lower_bound_resize：缩放使最短边等于分辨率（在长/宽图像上保留更多细节，但占用更多显存） | COMBO | 是 | `"upper_bound_resize"`
`"lower_bound_resize"` |
+| `mode` | mono：单视图图像处理（适用于任何模型变体）。multiview：所有图像一起处理，以获得几何一致性和相机位姿估计（仅适用于 Small 和 Base 模型） | COMBO | 是 | `"mono"`
`"multiview"` |
+| `ref_view_strategy` | 在多视图模式下，哪个视图作为几何锚点。saddle_balanced：在所有视图中最平均的视图（最佳通用选择）。saddle_sim_range：与其他视图视觉差异最大的视图。first / middle：固定的位置选择 | COMBO | 否（有条件） | `"saddle_balanced"`
`"saddle_sim_range"`
`"first"`
`"middle"` |
+| `pose_method` | 相机视场角的估算方式（仅适用于 Small 和 Base 模型）。cam_dec：从图像特征中学习。ray_pose：从模型的 3D 射线输出中几何推导得出。影响 3D 输出的透视正确性 | COMBO | 否（有条件） | `"cam_dec"`
`"ray_pose"` |
+
+**关于参数约束的说明：**
+- `ref_view_strategy` 和 `pose_method` 参数仅在 `mode` 设置为 `"multiview"` 时可用
+- 多视图模式需要 Small 或 Base 模型变体。具有其他头部类型（如 Metric 或 Mono）的模型不支持跨视图注意力或相机位姿估计
+- 当 `pose_method` 设置为 `"cam_dec"` 时，模型必须具有相机解码器。如果设置为 `"ray_pose"`，模型必须具有 DualDPT 头部
+- 如果所选 `pose_method` 与加载的模型不兼容，将引发错误
+
+## ## 输出
+
+| 输出名称 | 描述 | 数据类型 |
+|-------------|-------------|-----------|
+| `da3_geometry` | 非归一化张量的字典。始终包含键：depth、image、mode。可选键包括：sky（适用于 Mono/Metric 模型）、confidence（适用于 Small/Base 模型）、extrinsics 和 intrinsics（适用于多视图模式） | DA3_GEOMETRY |
+
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Inference/zh.md)
+
+---
+**Source fingerprint (SHA-256):** `e91dd47e6a01719cdd6b6ce8a9bcc45933cac72c5e147ac42906d2f83ab7c250`
diff --git a/comfyui_embedded_docs/docs/DA3Render/ar.md b/comfyui_embedded_docs/docs/DA3Render/ar.md
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--- /dev/null
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@@ -0,0 +1,48 @@
+# Render Depth Anything 3
+
+تقوم هذه العقدة بعرض تصور مرئي من بيانات هندسة Depth Anything 3. يمكنها إخراج خرائط العمق، أو خرائط الثقة، أو أقنعة السماء حسب وضع الإخراج المحدد.
+
+## المدخلات
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|---------------|--------|--------|
+| `da3_geometry` | حزمة بيانات هندسة Depth Anything 3 التي تحتوي على العمق، واختياريًا موترات السماء والثقة | DA3_GEOMETRY | نعم | - |
+| `output` | نوع التصور المراد عرضه. تشمل الخيارات: العمق، العمق الملون، قناع السماء، والثقة. لكل خيار مجموعة فرعية خاصة به من المعاملات. | COMBO | نعم | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### المعاملات الفرعية لخيارات `output`
+
+عند تعيين `output` إلى `"depth"` أو `"depth_colored"`:
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|---------------|--------|--------|
+| `normalization` | طريقة تسوية العمق. يستخدم v2_style تسوية المتوسط/الانحراف المعياري للحصول على نتائج متوازنة إدراكيًا (افتراضي). يمتد min_max نطاق العمق الكامل إلى [0, 1] للحصول على أقصى تباين. يحافظ raw على وحدات القياس لنموذج Metric بدون تحجيم. | COMBO | نعم | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | قص عمق منطقة السماء إلى المئين 99 من عمق المقدمة قبل التسوية. يتطلب وجود مفتاح sky في مدخل da3_geometry (لنماذج Mono/Metric فقط). الافتراضي: خطأ | BOOLEAN | نعم | True
False |
+
+عند تعيين `output` إلى `"sky_mask"`:
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|---------------|--------|--------|
+| `colored` | تطبيق خريطة ألوان Turbo على قناع السماء. الافتراضي: خطأ | BOOLEAN | نعم | True
False |
+
+عند تعيين `output` إلى `"confidence"`:
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|---------------|--------|--------|
+| `colored` | تطبيق خريطة ألوان Turbo على خريطة الثقة. الافتراضي: خطأ | BOOLEAN | نعم | True
False |
+
+### قيود المعاملات
+
+- عند تعيين `apply_sky_clip` إلى True، يجب أن يحتوي مدخل `da3_geometry` على موتر سماء. هذا متاح فقط عند استخدام نماذج Mono أو Metric. إذا كان موتر السماء مفقودًا، ستقوم العقدة بإظهار خطأ.
+- يتطلب خيار الإخراج `sky_mask` وجود موتر سماء في مدخل `da3_geometry`. هذا متاح فقط مع نماذج Mono أو Metric.
+- يتطلب خيار الإخراج `confidence` وجود موتر ثقة في مدخل `da3_geometry`. هذا متاح فقط مع النماذج الصغيرة أو الأساسية.
+
+## المخرجات
+
+| اسم المخرج | الوصف | نوع البيانات |
+|------------|-------|---------------|
+| `IMAGE` | التصور المعروض كموتر صورة. لمخرجات العمق، يُرجع خريطة عمق بتدرج رمادي أو ملون. لقناع السماء والثقة، يُرجع تصورًا بتدرج رمادي أو ملون حسب معامل colored. | IMAGE |
+
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/ar.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/DA3Render/en.md b/comfyui_embedded_docs/docs/DA3Render/en.md
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index 000000000..bd1169d31
--- /dev/null
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@@ -0,0 +1,48 @@
+# Render Depth Anything 3
+
+This node renders a visualization from Depth Anything 3 geometry data. It can output depth maps, confidence maps, or sky masks depending on the selected output mode.
+
+## Inputs
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | The Depth Anything 3 geometry data packet containing depth, and optionally sky and confidence tensors | DA3_GEOMETRY | Yes | - |
+| `output` | The type of visualization to render. Options include depth, depth_colored, sky_mask, and confidence. Each option has its own set of sub-parameters. | COMBO | Yes | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### Sub-parameters for `output` options
+
+When `output` is set to `"depth"` or `"depth_colored"`:
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `normalization` | The depth normalization method. v2_style uses mean/std normalization for perceptually balanced results (default). min_max stretches the full depth range to [0, 1] for maximum contrast. raw preserves metric units for Metric model without scaling. | COMBO | Yes | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | Clip sky-region depth to the 99th percentile of foreground depth before normalization. Requires a sky key in the da3_geometry input (for Mono/Metric models only). Default: False | BOOLEAN | Yes | True
False |
+
+When `output` is set to `"sky_mask"`:
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | Apply the Turbo colormap to the sky mask. Default: False | BOOLEAN | Yes | True
False |
+
+When `output` is set to `"confidence"`:
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | Apply the Turbo colormap to the confidence map. Default: False | BOOLEAN | Yes | True
False |
+
+### Parameter Constraints
+
+- When `apply_sky_clip` is set to True, the `da3_geometry` input must contain a sky tensor. This is only available when using Mono or Metric models. If the sky tensor is missing, the node will raise an error.
+- The `sky_mask` output option requires a sky tensor in the `da3_geometry` input. This is only available with Mono or Metric models.
+- The `confidence` output option requires a confidence tensor in the `da3_geometry` input. This is only available with Small or Base models.
+
+## Outputs
+
+| Output Name | Description | Data Type |
+|-------------|-------------|-----------|
+| `IMAGE` | The rendered visualization as an image tensor. For depth outputs, returns a greyscale or colored depth map. For sky_mask and confidence, returns either a greyscale or colored visualization depending on the colored parameter. | IMAGE |
+
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/en.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/DA3Render/es.md b/comfyui_embedded_docs/docs/DA3Render/es.md
new file mode 100644
index 000000000..2fad058f3
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@@ -0,0 +1,48 @@
+# Render Depth Anything 3
+
+Este nodo genera una visualización a partir de datos geométricos de Depth Anything 3. Puede producir mapas de profundidad, mapas de confianza o máscaras de cielo según el modo de salida seleccionado.
+
+## Entradas
+
+| Parámetro | Descripción | Tipo de Dato | Obligatorio | Rango |
+|-----------|-------------|--------------|-------------|-------|
+| `da3_geometry` | El paquete de datos geométricos de Depth Anything 3 que contiene profundidad y, opcionalmente, tensores de cielo y confianza | DA3_GEOMETRY | Sí | - |
+| `output` | El tipo de visualización a generar. Las opciones incluyen depth, depth_colored, sky_mask y confidence. Cada opción tiene su propio conjunto de subparámetros. | COMBO | Sí | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### Subparámetros para las opciones de `output`
+
+Cuando `output` está configurado como `"depth"` o `"depth_colored"`:
+
+| Parámetro | Descripción | Tipo de Dato | Obligatorio | Rango |
+|-----------|-------------|--------------|-------------|-------|
+| `normalization` | El método de normalización de profundidad. v2_style usa normalización media/desviación estándar para resultados perceptualmente equilibrados (predeterminado). min_max estira todo el rango de profundidad a [0, 1] para máximo contraste. raw preserva las unidades métricas para el modelo Metric sin escalado. | COMBO | Sí | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | Recorta la profundidad de la región del cielo al percentil 99 de la profundidad del primer plano antes de la normalización. Requiere una clave sky en la entrada `da3_geometry` (solo para modelos Mono/Metric). Predeterminado: False | BOOLEAN | Sí | True
False |
+
+Cuando `output` está configurado como `"sky_mask"`:
+
+| Parámetro | Descripción | Tipo de Dato | Obligatorio | Rango |
+|-----------|-------------|--------------|-------------|-------|
+| `colored` | Aplica el mapa de colores Turbo a la máscara de cielo. Predeterminado: False | BOOLEAN | Sí | True
False |
+
+Cuando `output` está configurado como `"confidence"`:
+
+| Parámetro | Descripción | Tipo de Dato | Obligatorio | Rango |
+|-----------|-------------|--------------|-------------|-------|
+| `colored` | Aplica el mapa de colores Turbo al mapa de confianza. Predeterminado: False | BOOLEAN | Sí | True
False |
+
+### Restricciones de Parámetros
+
+- Cuando `apply_sky_clip` está configurado como True, la entrada `da3_geometry` debe contener un tensor de cielo. Esto solo está disponible al usar modelos Mono o Metric. Si falta el tensor de cielo, el nodo generará un error.
+- La opción de salida `sky_mask` requiere un tensor de cielo en la entrada `da3_geometry`. Esto solo está disponible con modelos Mono o Metric.
+- La opción de salida `confidence` requiere un tensor de confianza en la entrada `da3_geometry`. Esto solo está disponible con modelos Small o Base.
+
+## Salidas
+
+| Nombre de Salida | Descripción | Tipo de Dato |
+|------------------|-------------|--------------|
+| `IMAGE` | La visualización generada como un tensor de imagen. Para salidas de profundidad, devuelve un mapa de profundidad en escala de grises o coloreado. Para sky_mask y confidence, devuelve una visualización en escala de grises o coloreada según el parámetro colored. | IMAGE |
+
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/es.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/DA3Render/fa.md b/comfyui_embedded_docs/docs/DA3Render/fa.md
new file mode 100644
index 000000000..f674cbe8a
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Render/fa.md
@@ -0,0 +1,48 @@
+# رندر Depth Anything 3
+
+این گره یک تجسم از دادههای هندسی Depth Anything 3 را رندر میکند. بسته به حالت خروجی انتخابشده، میتواند نقشههای عمق، نقشههای اطمینان یا ماسکهای آسمان را خروجی دهد.
+
+## ورودیها
+
+| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | بسته دادههای هندسی Depth Anything 3 شامل عمق و بهصورت اختیاری تنسورهای آسمان و اطمینان | DA3_GEOMETRY | بله | - |
+| `output` | نوع تجسم برای رندر کردن. گزینهها شامل depth، depth_colored، sky_mask و confidence هستند. هر گزینه مجموعهای از زیرپارامترهای خاص خود را دارد. | COMBO | بله | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### زیرپارامترهای گزینههای `output`
+
+وقتی `output` روی `"depth"` یا `"depth_colored"` تنظیم شده است:
+
+| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
+|-----------|-------------|-----------|----------|-------|
+| `normalization` | روش نرمالسازی عمق. حالت v2_style از نرمالسازی میانگین/انحراف معیار برای نتایج متعادل از نظر ادراکی استفاده میکند (پیشفرض). حالت min_max کل محدوده عمق را برای حداکثر کنتراست به [0, 1] گسترش میدهد. حالت raw واحدهای متریک را برای مدل Metric بدون مقیاسدهی حفظ میکند. | COMBO | بله | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | قبل از نرمالسازی، عمق ناحیه آسمان را به صدک 99 عمق پیشزمینه محدود میکند. نیاز به کلید sky در ورودی da3_geometry دارد (فقط برای مدلهای Mono/Metric). پیشفرض: False | BOOLEAN | بله | True
False |
+
+وقتی `output` روی `"sky_mask"` تنظیم شده است:
+
+| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | اعمال نقشه رنگی Turbo به ماسک آسمان. پیشفرض: False | BOOLEAN | بله | True
False |
+
+وقتی `output` روی `"confidence"` تنظیم شده است:
+
+| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | اعمال نقشه رنگی Turbo به نقشه اطمینان. پیشفرض: False | BOOLEAN | بله | True
False |
+
+### محدودیتهای پارامتر
+
+- وقتی `apply_sky_clip` روی True تنظیم شده است، ورودی `da3_geometry` باید شامل یک تنسور آسمان باشد. این فقط هنگام استفاده از مدلهای Mono یا Metric در دسترس است. اگر تنسور آسمان وجود نداشته باشد، گره خطا ایجاد میکند.
+- گزینه خروجی `sky_mask` نیاز به یک تنسور آسمان در ورودی `da3_geometry` دارد. این فقط با مدلهای Mono یا Metric در دسترس است.
+- گزینه خروجی `confidence` نیاز به یک تنسور اطمینان در ورودی `da3_geometry` دارد. این فقط با مدلهای Small یا Base در دسترس است.
+
+## خروجیها
+
+| نام خروجی | توضیحات | نوع داده |
+|-------------|-------------|-----------|
+| `IMAGE` | تجسم رندر شده بهعنوان یک تنسور تصویر. برای خروجیهای عمق، یک نقشه عمق خاکستری یا رنگی برمیگرداند. برای sky_mask و confidence، بسته به پارامتر colored، یک تجسم خاکستری یا رنگی برمیگرداند. | IMAGE |
+
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/fa.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/DA3Render/fr.md b/comfyui_embedded_docs/docs/DA3Render/fr.md
new file mode 100644
index 000000000..3cbd36498
--- /dev/null
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@@ -0,0 +1,48 @@
+# Rendu Depth Anything 3
+
+Ce nœud génère une visualisation à partir des données géométriques de Depth Anything 3. Il peut produire des cartes de profondeur, des cartes de confiance ou des masques de ciel selon le mode de sortie sélectionné.
+
+## Entrées
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `da3_geometry` | Le paquet de données géométriques Depth Anything 3 contenant la profondeur, et optionnellement les tenseurs de ciel et de confiance | DA3_GEOMETRY | Oui | - |
+| `output` | Le type de visualisation à générer. Les options incluent depth, depth_colored, sky_mask et confidence. Chaque option possède son propre ensemble de sous-paramètres. | COMBO | Oui | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### Sous-paramètres pour les options `output`
+
+Lorsque `output` est défini sur `"depth"` ou `"depth_colored"` :
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `normalization` | La méthode de normalisation de la profondeur. v2_style utilise la normalisation moyenne/écart-type pour des résultats perceptuellement équilibrés (par défaut). min_max étend la plage complète de profondeur à [0, 1] pour un contraste maximal. raw préserve les unités métriques pour le modèle Metric sans mise à l'échelle. | COMBO | Oui | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | Limiter la profondeur de la région du ciel au 99e percentile de la profondeur du premier plan avant la normalisation. Nécessite une clé sky dans l'entrée da3_geometry (pour les modèles Mono/Metric uniquement). Par défaut : False | BOOLEAN | Oui | True
False |
+
+Lorsque `output` est défini sur `"sky_mask"` :
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `colored` | Appliquer la carte de couleurs Turbo au masque de ciel. Par défaut : False | BOOLEAN | Oui | True
False |
+
+Lorsque `output` est défini sur `"confidence"` :
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `colored` | Appliquer la carte de couleurs Turbo à la carte de confiance. Par défaut : False | BOOLEAN | Oui | True
False |
+
+### Contraintes des paramètres
+
+- Lorsque `apply_sky_clip` est défini sur True, l'entrée `da3_geometry` doit contenir un tenseur de ciel. Ceci n'est disponible qu'avec les modèles Mono ou Metric. Si le tenseur de ciel est manquant, le nœud générera une erreur.
+- L'option de sortie `sky_mask` nécessite un tenseur de ciel dans l'entrée `da3_geometry`. Ceci n'est disponible qu'avec les modèles Mono ou Metric.
+- L'option de sortie `confidence` nécessite un tenseur de confiance dans l'entrée `da3_geometry`. Ceci n'est disponible qu'avec les modèles Small ou Base.
+
+## Sorties
+
+| Nom de sortie | Description | Type de données |
+|---------------|-------------|-----------------|
+| `IMAGE` | La visualisation générée sous forme de tenseur d'image. Pour les sorties de profondeur, retourne une carte de profondeur en niveaux de gris ou colorée. Pour sky_mask et confidence, retourne une visualisation en niveaux de gris ou colorée selon le paramètre colored. | IMAGE |
+
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/fr.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/DA3Render/ja.md b/comfyui_embedded_docs/docs/DA3Render/ja.md
new file mode 100644
index 000000000..a2f5d8513
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Render/ja.md
@@ -0,0 +1,48 @@
+# Render Depth Anything 3
+
+このノードは、Depth Anything 3 のジオメトリデータから可視化画像をレンダリングします。選択した出力モードに応じて、深度マップ、信頼度マップ、または空マスクを出力できます。
+
+## 入力
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 深度、オプションで空および信頼度テンソルを含む Depth Anything 3 ジオメトリデータパケット | DA3_GEOMETRY | はい | - |
+| `output` | レンダリングする可視化の種類。オプションには depth、depth_colored、sky_mask、confidence があります。各オプションには独自のサブパラメータセットがあります。 | COMBO | はい | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### `output` オプションのサブパラメータ
+
+`output` が `"depth"` または `"depth_colored"` に設定されている場合：
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `normalization` | 深度の正規化方法。v2_style は平均/標準偏差による正規化を使用し、知覚的にバランスの取れた結果を得ます（デフォルト）。min_max は深度範囲全体を [0, 1] に引き伸ばし、最大コントラストを実現します。raw は Metric モデルでメートル単位をスケーリングせずに保持します。 | COMBO | はい | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | 正規化前に空領域の深度を前景深度の99パーセンタイルにクリップします。da3_geometry 入力に sky キーが必要です（Mono/Metric モデルのみ）。デフォルト：False | BOOLEAN | はい | True
False |
+
+`output` が `"sky_mask"` に設定されている場合：
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | 空マスクに Turbo カラーマップを適用します。デフォルト：False | BOOLEAN | はい | True
False |
+
+`output` が `"confidence"` に設定されている場合：
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | 信頼度マップに Turbo カラーマップを適用します。デフォルト：False | BOOLEAN | はい | True
False |
+
+### パラメータ制約
+
+- `apply_sky_clip` が True に設定されている場合、`da3_geometry` 入力に sky テンソルが含まれている必要があります。これは Mono または Metric モデルを使用する場合のみ利用可能です。sky テンソルがない場合、ノードはエラーを発生させます。
+- `sky_mask` 出力オプションには、`da3_geometry` 入力に sky テンソルが必要です。これは Mono または Metric モデルでのみ利用可能です。
+- `confidence` 出力オプションには、`da3_geometry` 入力に信頼度テンソルが必要です。これは Small または Base モデルでのみ利用可能です。
+
+## 出力
+
+| 出力名 | 説明 | データ型 |
+|-------------|-------------|-----------|
+| `IMAGE` | レンダリングされた可視化画像テンソル。深度出力の場合は、グレースケールまたはカラーの深度マップを返します。sky_mask および confidence の場合は、colored パラメータに応じてグレースケールまたはカラーの可視化画像を返します。 | IMAGE |
+
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/ja.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/DA3Render/ko.md b/comfyui_embedded_docs/docs/DA3Render/ko.md
new file mode 100644
index 000000000..fedd09644
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Render/ko.md
@@ -0,0 +1,48 @@
+# Render Depth Anything 3
+
+이 노드는 Depth Anything 3 형상 데이터에서 시각화를 렌더링합니다. 선택한 출력 모드에 따라 깊이 맵, 신뢰도 맵 또는 하늘 마스크를 출력할 수 있습니다.
+
+## 입력
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 깊이 텐서와 선택적으로 하늘 및 신뢰도 텐서를 포함하는 Depth Anything 3 형상 데이터 패킷 | DA3_GEOMETRY | 예 | - |
+| `output` | 렌더링할 시각화 유형입니다. 옵션으로는 depth, depth_colored, sky_mask, confidence가 있습니다. 각 옵션은 고유한 하위 매개변수 집합을 가집니다. | COMBO | 예 | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### `output` 옵션의 하위 매개변수
+
+`output`이 `"depth"` 또는 `"depth_colored"`로 설정된 경우:
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `normalization` | 깊이 정규화 방법입니다. v2_style은 지각적으로 균형 잡힌 결과를 위해 평균/표준편차 정규화를 사용합니다(기본값). min_max는 최대 대비를 위해 전체 깊이 범위를 [0, 1]로 늘립니다. raw는 스케일링 없이 Metric 모델의 미터법 단위를 유지합니다. | COMBO | 예 | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | 정규화 전에 하늘 영역 깊이를 전경 깊이의 99번째 백분위수로 클리핑합니다. da3_geometry 입력에 sky 키가 필요합니다(Mono/Metric 모델 전용). 기본값: False | BOOLEAN | 예 | True
False |
+
+`output`이 `"sky_mask"`로 설정된 경우:
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | 하늘 마스크에 Turbo 컬러맵을 적용합니다. 기본값: False | BOOLEAN | 예 | True
False |
+
+`output`이 `"confidence"`로 설정된 경우:
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | 신뢰도 맵에 Turbo 컬러맵을 적용합니다. 기본값: False | BOOLEAN | 예 | True
False |
+
+### 매개변수 제약 조건
+
+- `apply_sky_clip`이 True로 설정된 경우, `da3_geometry` 입력에 sky 텐서가 포함되어야 합니다. 이는 Mono 또는 Metric 모델을 사용할 때만 가능합니다. sky 텐서가 없으면 노드에서 오류가 발생합니다.
+- `sky_mask` 출력 옵션은 `da3_geometry` 입력에 sky 텐서가 필요합니다. 이는 Mono 또는 Metric 모델에서만 사용 가능합니다.
+- `confidence` 출력 옵션은 `da3_geometry` 입력에 confidence 텐서가 필요합니다. 이는 Small 또는 Base 모델에서만 사용 가능합니다.
+
+## 출력
+
+| 출력 이름 | 설명 | 데이터 타입 |
+|-------------|-------------|-----------|
+| `IMAGE` | 렌더링된 시각화 이미지 텐서입니다. 깊이 출력의 경우 회색조 또는 컬러 깊이 맵을 반환합니다. sky_mask 및 confidence의 경우 colored 매개변수에 따라 회색조 또는 컬러 시각화를 반환합니다. | IMAGE |
+
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/ko.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/DA3Render/pt-BR.md b/comfyui_embedded_docs/docs/DA3Render/pt-BR.md
new file mode 100644
index 000000000..68688b89b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Render/pt-BR.md
@@ -0,0 +1,48 @@
+# Render Depth Anything 3
+
+Este nó renderiza uma visualização a partir dos dados geométricos do Depth Anything 3. Ele pode gerar mapas de profundidade, mapas de confiança ou máscaras de céu, dependendo do modo de saída selecionado.
+
+## Entradas
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | O pacote de dados geométricos do Depth Anything 3 contendo profundidade e, opcionalmente, tensores de céu e confiança | DA3_GEOMETRY | Sim | - |
+| `output` | O tipo de visualização a ser renderizada. As opções incluem depth, depth_colored, sky_mask e confidence. Cada opção possui seu próprio conjunto de subparâmetros. | COMBO | Sim | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### Subparâmetros para opções de `output`
+
+Quando `output` está definido como `"depth"` ou `"depth_colored"`:
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-------------|-----------|----------|-------|
+| `normalization` | O método de normalização de profundidade. v2_style usa normalização média/desvio padrão para resultados perceptualmente equilibrados (padrão). min_max estende toda a faixa de profundidade para [0, 1] para máximo contraste. raw preserva unidades métricas para o modelo Metric sem escalonamento. | COMBO | Sim | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | Recorta a profundidade da região do céu para o percentil 99 da profundidade do primeiro plano antes da normalização. Requer uma chave de céu na entrada da3_geometry (apenas para modelos Mono/Metric). Padrão: False | BOOLEAN | Sim | True
False |
+
+Quando `output` está definido como `"sky_mask"`:
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | Aplica o mapa de cores Turbo à máscara de céu. Padrão: False | BOOLEAN | Sim | True
False |
+
+Quando `output` está definido como `"confidence"`:
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | Aplica o mapa de cores Turbo ao mapa de confiança. Padrão: False | BOOLEAN | Sim | True
False |
+
+### Restrições de Parâmetros
+
+- Quando `apply_sky_clip` está definido como True, a entrada `da3_geometry` deve conter um tensor de céu. Isso está disponível apenas ao usar modelos Mono ou Metric. Se o tensor de céu estiver ausente, o nó gerará um erro.
+- A opção de saída `sky_mask` requer um tensor de céu na entrada `da3_geometry`. Isso está disponível apenas com modelos Mono ou Metric.
+- A opção de saída `confidence` requer um tensor de confiança na entrada `da3_geometry`. Isso está disponível apenas com modelos Small ou Base.
+
+## Saídas
+
+| Nome da Saída | Descrição | Tipo de Dado |
+|-------------|-------------|-----------|
+| `IMAGE` | A visualização renderizada como um tensor de imagem. Para saídas de profundidade, retorna um mapa de profundidade em escala de cinza ou colorido. Para sky_mask e confidence, retorna uma visualização em escala de cinza ou colorida, dependendo do parâmetro colored. | IMAGE |
+
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/pt-BR.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/DA3Render/ru.md b/comfyui_embedded_docs/docs/DA3Render/ru.md
new file mode 100644
index 000000000..7111fec9b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Render/ru.md
@@ -0,0 +1,48 @@
+# Визуализация Depth Anything 3
+
+Этот узел создает визуализацию на основе данных геометрии Depth Anything 3. В зависимости от выбранного режима вывода он может создавать карты глубины, карты уверенности или маски неба.
+
+## Входные параметры
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `da3_geometry` | Пакет данных геометрии Depth Anything 3, содержащий тензоры глубины, а также опционально неба и уверенности | DA3_GEOMETRY | Да | - |
+| `output` | Тип визуализации для рендеринга. Варианты: depth, depth_colored, sky_mask и confidence. Каждый вариант имеет собственный набор подпараметров. | COMBO | Да | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### Подпараметры для вариантов `output`
+
+Когда `output` установлен в `"depth"` или `"depth_colored"`:
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `normalization` | Метод нормализации глубины. v2_style использует нормализацию по среднему/стандартному отклонению для перцептивно сбалансированных результатов (по умолчанию). min_max растягивает полный диапазон глубины до [0, 1] для максимального контраста. raw сохраняет метрические единицы для модели Metric без масштабирования. | COMBO | Да | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | Обрезать глубину области неба до 99-го перцентиля глубины переднего плана перед нормализацией. Требует наличия ключа sky во входных данных da3_geometry (только для моделей Mono/Metric). По умолчанию: False | BOOLEAN | Да | True
False |
+
+Когда `output` установлен в `"sky_mask"`:
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `colored` | Применить цветовую карту Turbo к маске неба. По умолчанию: False | BOOLEAN | Да | True
False |
+
+Когда `output` установлен в `"confidence"`:
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `colored` | Применить цветовую карту Turbo к карте уверенности. По умолчанию: False | BOOLEAN | Да | True
False |
+
+### Ограничения параметров
+
+- Когда `apply_sky_clip` установлен в True, входные данные `da3_geometry` должны содержать тензор неба. Это доступно только при использовании моделей Mono или Metric. Если тензор неба отсутствует, узел выдаст ошибку.
+- Вариант вывода `sky_mask` требует наличия тензора неба во входных данных `da3_geometry`. Это доступно только с моделями Mono или Metric.
+- Вариант вывода `confidence` требует наличия тензора уверенности во входных данных `da3_geometry`. Это доступно только с моделями Small или Base.
+
+## Выходные параметры
+
+| Имя выхода | Описание | Тип данных |
+|------------|----------|------------|
+| `IMAGE` | Визуализация в виде тензора изображения. Для выходов глубины возвращает карту глубины в оттенках серого или цветную. Для sky_mask и confidence возвращает визуализацию в оттенках серого или цветную в зависимости от параметра colored. | IMAGE |
+
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/ru.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/DA3Render/tr.md b/comfyui_embedded_docs/docs/DA3Render/tr.md
new file mode 100644
index 000000000..a3e7a9dd5
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Render/tr.md
@@ -0,0 +1,48 @@
+# Render Depth Anything 3
+
+Bu düğüm, Depth Anything 3 geometri verilerinden bir görselleştirme oluşturur. Seçilen çıktı moduna bağlı olarak derinlik haritaları, güven haritaları veya gökyüzü maskeleri çıktı olarak verebilir.
+
+## Girişler
+
+| Parametre | Açıklama | Veri Türü | Zorunlu | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `da3_geometry` | Derinlik, isteğe bağlı olarak gökyüzü ve güven tensörlerini içeren Depth Anything 3 geometri veri paketi | DA3_GEOMETRY | Evet | - |
+| `output` | Oluşturulacak görselleştirme türü. Seçenekler: depth, depth_colored, sky_mask ve confidence. Her seçeneğin kendine ait alt parametreleri vardır. | COMBO | Evet | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### `output` seçenekleri için alt parametreler
+
+`output` değeri `"depth"` veya `"depth_colored"` olarak ayarlandığında:
+
+| Parametre | Açıklama | Veri Türü | Zorunlu | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `normalization` | Derinlik normalizasyon yöntemi. v2_style, algısal olarak dengeli sonuçlar için ortalama/standart sapma normalizasyonu kullanır (varsayılan). min_max, maksimum kontrast için tüm derinlik aralığını [0, 1] aralığına genişletir. raw, Metrik model için metrik birimleri ölçeklemeden korur. | COMBO | Evet | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | Normalizasyon öncesinde gökyüzü bölgesi derinliğini ön plan derinliğinin 99. yüzdelik dilimine kırpar. da3_geometry girişinde bir sky anahtarı gerektirir (yalnızca Mono/Metric modeller için). Varsayılan: False | BOOLEAN | Evet | True
False |
+
+`output` değeri `"sky_mask"` olarak ayarlandığında:
+
+| Parametre | Açıklama | Veri Türü | Zorunlu | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `colored` | Gökyüzü maskesine Turbo renk haritasını uygular. Varsayılan: False | BOOLEAN | Evet | True
False |
+
+`output` değeri `"confidence"` olarak ayarlandığında:
+
+| Parametre | Açıklama | Veri Türü | Zorunlu | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `colored` | Güven haritasına Turbo renk haritasını uygular. Varsayılan: False | BOOLEAN | Evet | True
False |
+
+### Parametre Kısıtlamaları
+
+- `apply_sky_clip` True olarak ayarlandığında, `da3_geometry` girişi bir gökyüzü tensörü içermelidir. Bu yalnızca Mono veya Metric modeller kullanıldığında geçerlidir. Gökyüzü tensörü eksikse, düğüm bir hata verecektir.
+- `sky_mask` çıktı seçeneği, `da3_geometry` girişinde bir gökyüzü tensörü gerektirir. Bu yalnızca Mono veya Metric modellerle kullanılabilir.
+- `confidence` çıktı seçeneği, `da3_geometry` girişinde bir güven tensörü gerektirir. Bu yalnızca Small veya Base modellerle kullanılabilir.
+
+## Çıktılar
+
+| Çıktı Adı | Açıklama | Veri Türü |
+|-----------|----------|-----------|
+| `IMAGE` | Oluşturulan görselleştirme bir görüntü tensörü olarak. Derinlik çıktıları için gri tonlamalı veya renkli bir derinlik haritası döndürür. sky_mask ve confidence için, colored parametresine bağlı olarak gri tonlamalı veya renkli bir görselleştirme döndürür. | IMAGE |
+
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/tr.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/DA3Render/zh-TW.md b/comfyui_embedded_docs/docs/DA3Render/zh-TW.md
new file mode 100644
index 000000000..1a26c683d
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Render/zh-TW.md
@@ -0,0 +1,48 @@
+# 渲染 Depth Anything 3
+
+此節點可從 Depth Anything 3 幾何數據渲染視覺化內容。根據選擇的輸出模式，它可以輸出深度圖、置信度圖或天空遮罩。
+
+## ## 輸入
+
+| 參數 | 描述 | 資料類型 | 必要 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 包含深度資料的 Depth Anything 3 幾何數據包，可選包含天空和置信度張量 | DA3_GEOMETRY | 是 | - |
+| `output` | 要渲染的視覺化類型。選項包括 depth、depth_colored、sky_mask 和 confidence。每個選項都有其自身的子參數。 | COMBO | 是 | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### `output` 選項的子參數
+
+當 `output` 設定為 `"depth"` 或 `"depth_colored"` 時：
+
+| 參數 | 描述 | 資料類型 | 必要 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `normalization` | 深度正規化方法。v2_style 使用平均值/標準差正規化以獲得感知平衡的結果（預設）。min_max 將完整深度範圍拉伸至 [0, 1] 以獲得最大對比度。raw 保留 Metric 模型的公制單位數值而不進行縮放。 | COMBO | 是 | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | 在正規化前將天空區域的深度裁剪至前景深度的第 99 百分位數。需要在 da3_geometry 輸入中包含天空鍵值（僅適用於 Mono/Metric 模型）。預設：False | BOOLEAN | 是 | True
False |
+
+當 `output` 設定為 `"sky_mask"` 時：
+
+| 參數 | 描述 | 資料類型 | 必要 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | 對天空遮罩套用 Turbo 色彩映射。預設：False | BOOLEAN | 是 | True
False |
+
+當 `output` 設定為 `"confidence"` 時：
+
+| 參數 | 描述 | 資料類型 | 必要 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | 對置信度圖套用 Turbo 色彩映射。預設：False | BOOLEAN | 是 | True
False |
+
+### 參數限制
+
+- 當 `apply_sky_clip` 設定為 True 時，`da3_geometry` 輸入必須包含天空張量。此功能僅在使用 Mono 或 Metric 模型時可用。如果缺少天空張量，節點將引發錯誤。
+- `sky_mask` 輸出選項需要在 `da3_geometry` 輸入中包含天空張量。此功能僅適用於 Mono 或 Metric 模型。
+- `confidence` 輸出選項需要在 `da3_geometry` 輸入中包含置信度張量。此功能僅適用於 Small 或 Base 模型。
+
+## ## 輸出
+
+| 輸出名稱 | 描述 | 資料類型 |
+|-----------|-------------|-----------|
+| `IMAGE` | 渲染後的視覺化圖像張量。對於深度輸出，返回灰階或彩色深度圖。對於 sky_mask 和 confidence，根據 colored 參數返回灰階或彩色視覺化結果。 | IMAGE |
+
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/zh-TW.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/DA3Render/zh.md b/comfyui_embedded_docs/docs/DA3Render/zh.md
new file mode 100644
index 000000000..62f37db00
--- /dev/null
+++ b/comfyui_embedded_docs/docs/DA3Render/zh.md
@@ -0,0 +1,48 @@
+# 渲染 Depth Anything 3
+
+此节点用于从 Depth Anything 3 几何数据渲染可视化结果。根据所选输出模式，可输出深度图、置信度图或天空遮罩。
+
+## ## 输入
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `da3_geometry` | 包含深度数据以及可选的天空和置信度张量的 Depth Anything 3 几何数据包 | DA3_GEOMETRY | 是 | - |
+| `output` | 要渲染的可视化类型。选项包括 depth、depth_colored、sky_mask 和 confidence。每个选项都有其各自的子参数。 | COMBO | 是 | `"depth"`
`"depth_colored"`
`"sky_mask"`
`"confidence"` |
+
+### `output` 选项的子参数
+
+当 `output` 设置为 `"depth"` 或 `"depth_colored"` 时：
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `normalization` | 深度归一化方法。v2_style 使用均值/标准差归一化以获得感知上平衡的结果（默认）。min_max 将完整深度范围拉伸至 [0, 1] 以获得最大对比度。raw 保留 Metric 模型的度量单位，不进行缩放。 | COMBO | 是 | `"v2_style"`
`"min_max"`
`"raw"` |
+| `apply_sky_clip` | 在归一化前将天空区域深度裁剪至前景深度的第 99 百分位数。需要在 da3_geometry 输入中包含天空键（仅适用于 Mono/Metric 模型）。默认值：False | BOOLEAN | 是 | True
False |
+
+当 `output` 设置为 `"sky_mask"` 时：
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | 对天空遮罩应用 Turbo 颜色映射。默认值：False | BOOLEAN | 是 | True
False |
+
+当 `output` 设置为 `"confidence"` 时：
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `colored` | 对置信度图应用 Turbo 颜色映射。默认值：False | BOOLEAN | 是 | True
False |
+
+### 参数约束
+
+- 当 `apply_sky_clip` 设置为 True 时，`da3_geometry` 输入必须包含天空张量。此功能仅在使用 Mono 或 Metric 模型时可用。如果缺少天空张量，节点将报错。
+- `sky_mask` 输出选项需要在 `da3_geometry` 输入中包含天空张量。此功能仅适用于 Mono 或 Metric 模型。
+- `confidence` 输出选项需要在 `da3_geometry` 输入中包含置信度张量。此功能仅适用于 Small 或 Base 模型。
+
+## ## 输出
+
+| 输出名称 | 描述 | 数据类型 |
+|-------------|-------------|-----------|
+| `IMAGE` | 渲染后的可视化图像张量。对于深度输出，返回灰度或彩色深度图。对于 sky_mask 和 confidence，根据 colored 参数返回灰度或彩色可视化结果。 | IMAGE |
+
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DA3Render/zh.md)
+
+---
+**Source fingerprint (SHA-256):** `54d4cde95a916cac26c8a2e19c5623e794d46c0d7652f1c8204f9f2a0deabe0c`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md b/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md
index 473be24f3..2141d9d8e 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md
@@ -1,18 +1,20 @@
+# ElevenLabs Voice Isolation
+
The ElevenLabs Voice Isolation node removes background noise from an audio file, isolating the vocals or speech. It sends the audio to the ElevenLabs API for processing and returns the cleaned audio.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `audio` | Audio to process for background noise removal. | AUDIO | Yes | |
+|-----------|-------------|-----------|----------|-------|
+| `audio` | Audio to process for background noise removal. | AUDIO | Yes | |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `audio` | The processed audio with background noise removed. | AUDIO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsAudioIsolation/en.md)
---
-**Source fingerprint (SHA-256):** `84f1ea16911b9b1d1ab60dd75fade8cc524ac3e39d44f60a242214f14006ff1e`
+**Source fingerprint (SHA-256):** `9527f6cc976a72c787985d866dade272f3fcdc485d2bd9e3ceaaaf625822f3e1`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md b/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md
index 6bb0fcf09..5f8751aa4 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md
@@ -1,3 +1,5 @@
+# ElevenLabs Instant Voice Clone
+
The ElevenLabs Instant Voice Clone node creates a new, unique voice model by analyzing 1 to 8 audio recordings of a person's voice. It sends these samples to the ElevenLabs API, which processes them to generate a voice clone that can be used for text-to-speech synthesis.
## Inputs
@@ -18,4 +20,4 @@ The ElevenLabs Instant Voice Clone node creates a new, unique voice model by ana
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsInstantVoiceClone/en.md)
---
-**Source fingerprint (SHA-256):** `760bd99ed8382eb875ab21739346d178130b02240526308b784332a59b048d78`
+**Source fingerprint (SHA-256):** `5b109dfff8cdbc51d9e2684b9508b0998aaa014459b973acf29c204835a8db95`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md b/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md
index 419f36a44..1597b81d6 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md
@@ -1,9 +1,11 @@
+# ElevenLabs Speech to Speech
+
The ElevenLabs Speech to Speech node transforms an input audio file from one voice to another. It uses the ElevenLabs API to convert speech while preserving the original content and emotional tone of the audio.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `voice` | Target voice for the transformation. Connect from Voice Selector or Instant Voice Clone. | CUSTOM | Yes | - |
| `audio` | Source audio to transform. | AUDIO | Yes | - |
| `stability` | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech (default: 0.5). | FLOAT | No | 0.0 - 1.0 |
@@ -15,10 +17,10 @@ The ElevenLabs Speech to Speech node transforms an input audio file from one voi
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `audio` | The transformed audio file in the specified output format. | AUDIO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToSpeech/en.md)
---
-**Source fingerprint (SHA-256):** `ef065ffa78a63398e746b52c6c8f2c336e6a4137722537c8026d292ed397a246`
+**Source fingerprint (SHA-256):** `a3cd602181d134b9ab517bfac092ea30b62ef5a9942a905c0c3e6959b34370ca`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md b/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md
index 722b5ccff..9a7b50c32 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md
@@ -1,3 +1,5 @@
+# ElevenLabs Speech to Text
+
The ElevenLabs Speech to Text node transcribes audio files into text. It uses ElevenLabs' API to convert spoken words into a written transcript, supporting features like automatic language detection, identifying different speakers, and tagging non-speech sounds like music or laughter.
## Inputs
@@ -28,4 +30,4 @@ The ElevenLabs Speech to Text node transcribes audio files into text. It uses El
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsSpeechToText/en.md)
---
-**Source fingerprint (SHA-256):** `1541ae5542b83d80cb96ab0c8694c25b2bd9d4f10c1030902064d05319b2a520`
+**Source fingerprint (SHA-256):** `7eb5d72615aa8a9e4a8014e45b39cf83dc8d8432d7ce0dccba20489be80a5830`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md b/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md
index 4391c04e4..048bf17a2 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md
@@ -1,9 +1,11 @@
+# ElevenLabs Text to Dialogue
+
The ElevenLabs Text to Dialogue node generates a multi-speaker audio dialogue from text. It allows you to create a conversation by specifying different text lines and distinct voices for each participant. The node sends the dialogue request to the ElevenLabs API and returns the generated audio.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `stability` | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech. (default: 0.5) | FLOAT | No | 0.0 - 1.0 |
| `apply_text_normalization` | Text normalization mode. 'auto' lets the system decide, 'on' always applies normalization, 'off' skips it. | COMBO | No | `"auto"`
`"on"`
`"off"` |
| `model` | Model to use for dialogue generation. | COMBO | No | `"eleven_v3"` |
@@ -17,10 +19,10 @@ The ElevenLabs Text to Dialogue node generates a multi-speaker audio dialogue fr
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `audio` | The generated multi-speaker dialogue audio in the selected output format. | AUDIO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToDialogue/en.md)
---
-**Source fingerprint (SHA-256):** `76eaa0ce55e1b542f4f2073405c707d686affd15202dc1adf1e1a81c542cbdb1`
+**Source fingerprint (SHA-256):** `95b16143391a2282c58ebc66561b85338a8ce1f87e0ec769405225599d2c76ae`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md b/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md
index 16350391f..63c9e9a91 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md
@@ -1,10 +1,12 @@
+# ElevenLabs Text to Sound Effects
+
The ElevenLabs Text to Sound Effects node generates audio sound effects from a text description. It uses the ElevenLabs API to create sound effects based on your prompt, allowing you to control the duration, looping behavior, and how closely the sound follows the text.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `text` | Text description of the sound effect to generate. This is a required field. | STRING | Yes | N/A |
+|-----------|-------------|-----------|----------|-------|
+| `text` | Text description of the sound effect to generate. | STRING | Yes | N/A |
| `model` | Model to use for sound effect generation. Selecting this model reveals additional parameters: `duration` (default: 5.0, range: 0.5 to 30.0 seconds), `loop` (default: False), and `prompt_influence` (default: 0.3, range: 0.0 to 1.0). | COMBO | Yes | `"eleven_sfx_v2"` |
| `output_format` | Audio output format. | COMBO | Yes | `"mp3_44100_192"`
`"opus_48000_192"` |
@@ -17,10 +19,10 @@ The ElevenLabs Text to Sound Effects node generates audio sound effects from a t
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `audio` | The generated sound effect audio file. | AUDIO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSoundEffects/en.md)
---
-**Source fingerprint (SHA-256):** `5868bfeb82c88b46587cbbce48266abd8b78ac05a24ae61a7c8dc978373c2c06`
+**Source fingerprint (SHA-256):** `218ff617256cea33f310c1bcfc6407c46aaadc59201a0324b0ec64583166ce58`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md b/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md
index 262167968..bc28f19c8 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md
@@ -1,9 +1,11 @@
+# ElevenLabs Text to Speech
+
The ElevenLabs Text to Speech node converts written text into spoken audio using the ElevenLabs API. It allows you to select a specific voice and fine-tune various speech characteristics like stability, speed, and style to generate a customized audio output.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `voice` | Voice to use for speech synthesis. Connect from Voice Selector or Instant Voice Clone. | CUSTOM | Yes | N/A |
| `text` | The text to convert to speech. | STRING | Yes | N/A |
| `stability` | Voice stability. Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech (default: 0.5). | FLOAT | No | 0.0 - 1.0 |
@@ -14,25 +16,26 @@ The ElevenLabs Text to Speech node converts written text into spoken audio using
| `output_format` | Audio output format. | COMBO | No | `"mp3_44100_192"`
`"opus_48000_192"` |
**Model-Specific Parameters:**
+
When the `model` parameter is set to `"eleven_multilingual_v2"`, the following additional parameters become available:
-* `speed`: Speech speed. 1.0 is normal, <1.0 slower, >1.0 faster (default: 1.0, range: 0.7 - 1.3).
-* `similarity_boost`: Similarity boost. Higher values make the voice more similar to the original (default: 0.75, range: 0.0 - 1.0).
-* `use_speaker_boost`: Boost similarity to the original speaker voice (default: False).
-* `style`: Style exaggeration. Higher values increase stylistic expression but may reduce stability (default: 0.0, range: 0.0 - 0.2).
+- `speed`: Speech speed. 1.0 is normal, <1.0 slower, >1.0 faster (default: 1.0, range: 0.7 - 1.3).
+- `similarity_boost`: Similarity boost. Higher values make the voice more similar to the original (default: 0.75, range: 0.0 - 1.0).
+- `use_speaker_boost`: Boost similarity to the original speaker voice (default: False).
+- `style`: Style exaggeration. Higher values increase stylistic expression but may reduce stability (default: 0.0, range: 0.0 - 0.2).
When the `model` parameter is set to `"eleven_v3"`, the following additional parameters become available:
-* `speed`: Speech speed. 1.0 is normal, <1.0 slower, >1.0 faster (default: 1.0, range: 0.7 - 1.3).
-* `similarity_boost`: Similarity boost. Higher values make the voice more similar to the original (default: 0.75, range: 0.0 - 1.0).
+- `speed`: Speech speed. 1.0 is normal, <1.0 slower, >1.0 faster (default: 1.0, range: 0.7 - 1.3).
+- `similarity_boost`: Similarity boost. Higher values make the voice more similar to the original (default: 0.75, range: 0.0 - 1.0).
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `audio` | The generated audio from the text-to-speech conversion. | AUDIO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsTextToSpeech/en.md)
---
-**Source fingerprint (SHA-256):** `0cd570fbb152e07ba028e96df56abc08dde8941d043386fd076f42a1e1dc6016`
+**Source fingerprint (SHA-256):** `78ed1c6af2d0b1cc0293d725492a8b104b6d0c6bc18d9971b75047db946cdd33`
diff --git a/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md b/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md
index fda96a9cc..338ecf70e 100644
--- a/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md
+++ b/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md
@@ -1,18 +1,20 @@
+# ElevenLabs Voice Selector
+
The ElevenLabs Voice Selector node allows you to choose a specific voice from a predefined list of ElevenLabs text-to-speech voices. It takes a voice name as input and outputs the corresponding voice identifier needed for audio generation. This node simplifies the process of selecting a compatible voice for use with other ElevenLabs audio nodes.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `voice` | Choose a voice from the predefined ElevenLabs voices. | STRING | Yes | `"Adam (male, american)"`
`"Antoni (male, british)"`
`"Arnold (male, american)"`
`"Bella (female, american)"`
`"Domi (female, american)"`
`"Elli (female, american)"`
`"Josh (male, american)"`
`"Rachel (female, american)"`
`"Sam (male, american)"` |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `voice` | The unique identifier for the selected ElevenLabs voice, which can be passed to other nodes for text-to-speech generation. | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ElevenLabsVoiceSelector/en.md)
---
-**Source fingerprint (SHA-256):** `47adf5da14e65749c16ada389331c380a1e3a18ecc6f366c32d84ffe7c34990a`
+**Source fingerprint (SHA-256):** `72e2239bb0da15a88cd346ede2051b4fb717f3bf49faaf5d63c0622b03ccd80d`
diff --git a/comfyui_embedded_docs/docs/Flux2ImageNode/en.md b/comfyui_embedded_docs/docs/Flux2ImageNode/en.md
index 44f5ae682..70d5f7d26 100644
--- a/comfyui_embedded_docs/docs/Flux2ImageNode/en.md
+++ b/comfyui_embedded_docs/docs/Flux2ImageNode/en.md
@@ -1,11 +1,11 @@
-## Overview
+# Flux.2 Image Node
Generate images using the Flux.2 [pro] or Flux.2 [max] model from a text prompt and optional reference images. This node sends your request to the BFL API, polls for the result, and returns the generated image as a tensor.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the image generation or edit (default: empty string). | STRING | Yes | N/A |
| `model` | The Flux.2 model version to use. Selecting a model unlocks additional parameters for width, height, and optional reference images. | COMBO | Yes | `"Flux.2 [pro]"`
`"Flux.2 [max]"` |
| `seed` | The random seed used for creating the noise. Can be set to randomize after each generation (default: 0). | INT | Yes | 0 to 18446744073709551615 |
@@ -15,22 +15,22 @@ Generate images using the Flux.2 [pro] or Flux.2 [max] model from a text prompt
When you select a model, the following parameters become available:
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model.width` | The width of the generated image in pixels. | INT | Yes | 256 to 1440 |
| `model.height` | The height of the generated image in pixels. | INT | Yes | 256 to 1440 |
| `model.images` | Optional reference images to guide the generation. A maximum of 8 images is supported. | IMAGE | No | 0 to 8 images |
**Constraints:**
- The maximum number of reference images is 8. If more than 8 images are provided, an error will be raised.
-- The `model.width` and `model.height` values affect the cost of the generation (see price badge logic in source code).
+- The `model.width` and `model.height` values affect the cost of the generation.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The generated image as a tensor, downloaded from the BFL API result. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Flux2ImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `ce3ee97d5ccb746892f3bfdb0dd5450d79cb4e0775a88d1f8c09569ce43ecbbb`
+**Source fingerprint (SHA-256):** `9627f120df5aedfef1203db2baf39926e1d6891ef30e56b4eac4c2baf5e032e8`
diff --git a/comfyui_embedded_docs/docs/FluxEraseNode/ar.md b/comfyui_embedded_docs/docs/FluxEraseNode/ar.md
index 79a2f672c..6f71a0776 100644
--- a/comfyui_embedded_docs/docs/FluxEraseNode/ar.md
+++ b/comfyui_embedded_docs/docs/FluxEraseNode/ar.md
@@ -9,7 +9,7 @@
| `الصورة` | الصورة المدخلة للمعالجة | IMAGE | نعم | - |
| `mask` | المناطق البيضاء تُزال؛ المناطق السوداء تُحتفظ بها | MASK | نعم | - |
| `توسيع_البكسلات` | يوسع حدود القناع لضمان تغطية نظيفة لحواف الكائن (الافتراضي: 10) | INT | نعم | 0 إلى 25 |
-| `seed` | البذرة العشوائية المستخدمة لإنشاء الضوضاء (الافتراضي: 0) | INT | لا | 0 إلى 2147483647 |
+| `البذرة` | البذرة العشوائية المستخدمة لإنشاء الضوضاء (الافتراضي: 0) | INT | لا | 0 إلى 2147483647 |
**ملاحظة:** يجب أن تكون الصورة المدخلة بحجم 256×256 بكسل على الأقل في كلا البعدين. يتم تغيير حجم القناع تلقائيًا ليتناسب مع أبعاد الصورة.
diff --git a/comfyui_embedded_docs/docs/FluxEraseNode/fr.md b/comfyui_embedded_docs/docs/FluxEraseNode/fr.md
index e68813c42..9f306444a 100644
--- a/comfyui_embedded_docs/docs/FluxEraseNode/fr.md
+++ b/comfyui_embedded_docs/docs/FluxEraseNode/fr.md
@@ -9,7 +9,7 @@ Supprime l'objet masqué d'une image et reconstruit l'arrière-plan. Peignez le
| `image` | L'image d'entrée à traiter | IMAGE | Oui | - |
| `mask` | Les zones blanches sont supprimées ; les zones noires sont préservées | MASK | Oui | - |
| `dilate_pixels` | Élargit les limites du masque pour garantir une couverture nette des bords de l'objet (par défaut : 10) | INT | Oui | 0 à 25 |
-| `seed` | La graine aléatoire utilisée pour générer le bruit (par défaut : 0) | INT | Non | 0 à 2147483647 |
+| `graine` | La graine aléatoire utilisée pour générer le bruit (par défaut : 0) | INT | Non | 0 à 2147483647 |
**Remarque :** L'image d'entrée doit mesurer au moins 256x256 pixels dans les deux dimensions. Le masque est automatiquement redimensionné pour correspondre aux dimensions de l'image.
diff --git a/comfyui_embedded_docs/docs/FluxEraseNode/pt-BR.md b/comfyui_embedded_docs/docs/FluxEraseNode/pt-BR.md
index 88b10f496..ae8598100 100644
--- a/comfyui_embedded_docs/docs/FluxEraseNode/pt-BR.md
+++ b/comfyui_embedded_docs/docs/FluxEraseNode/pt-BR.md
@@ -9,7 +9,7 @@ Remove o objeto mascarado de uma imagem e reconstrói o fundo. Pinte a máscara
| `imagem` | A imagem de entrada para processar | IMAGE | Sim | - |
| `máscara` | Áreas brancas são removidas; áreas pretas são preservadas | MASK | Sim | - |
| `dilatar_pixels` | Expande os limites da máscara para garantir cobertura limpa das bordas do objeto (padrão: 10) | INT | Sim | 0 a 25 |
-| `seed` | A semente aleatória usada para criar o ruído (padrão: 0) | INT | Não | 0 a 2147483647 |
+| `semente` | A semente aleatória usada para criar o ruído (padrão: 0) | INT | Não | 0 a 2147483647 |
**Observação:** A imagem de entrada deve ter pelo menos 256x256 pixels em ambas as dimensões. A máscara é redimensionada automaticamente para corresponder às dimensões da imagem.
diff --git a/comfyui_embedded_docs/docs/FluxProExpandNode/en.md b/comfyui_embedded_docs/docs/FluxProExpandNode/en.md
index 460740fcd..0c11a7389 100644
--- a/comfyui_embedded_docs/docs/FluxProExpandNode/en.md
+++ b/comfyui_embedded_docs/docs/FluxProExpandNode/en.md
@@ -1,9 +1,11 @@
+# Flux.1 Expand Image
+
Outpaints image based on prompt. This node expands an image by adding pixels to the top, bottom, left, and right sides while generating new content that matches the provided text description.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to be expanded | IMAGE | Yes | - |
| `prompt` | Prompt for the image generation (default: "") | STRING | No | - |
| `prompt_upsampling` | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | BOOLEAN | No | - |
@@ -18,10 +20,10 @@ Outpaints image based on prompt. This node expands an image by adding pixels to
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The expanded output image | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProExpandNode/en.md)
---
-**Source fingerprint (SHA-256):** `d8ef7e28fecd0d08fa8f61c714ada054162668bb961008230bd4d342564af713`
+**Source fingerprint (SHA-256):** `faff1e1311a3208066a499a358923c6e335ea1785baeafe3761484641f7f12d6`
diff --git a/comfyui_embedded_docs/docs/FluxProFillNode/en.md b/comfyui_embedded_docs/docs/FluxProFillNode/en.md
index d9e5bb1df..d4b2d1568 100644
--- a/comfyui_embedded_docs/docs/FluxProFillNode/en.md
+++ b/comfyui_embedded_docs/docs/FluxProFillNode/en.md
@@ -1,9 +1,11 @@
+# Flux.1 Fill Image
+
Inpaints image based on mask and prompt. This node uses the Flux.1 model to fill in masked areas of an image according to the provided text description, generating new content that matches the surrounding image.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to be inpainted | IMAGE | Yes | - |
| `mask` | The mask defining which areas of the image should be filled | MASK | Yes | - |
| `prompt` | Prompt for the image generation (default: empty string) | STRING | No | - |
@@ -15,10 +17,10 @@ Inpaints image based on mask and prompt. This node uses the Flux.1 model to fill
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output_image` | The generated image with the masked areas filled according to the prompt | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProFillNode/en.md)
---
-**Source fingerprint (SHA-256):** `68f9834a58d6e2d14743adafb1f791880f0af30fdb65cb6201af5616945bb56b`
+**Source fingerprint (SHA-256):** `11aa071c52897788d9d7dae4105ffdf747d3cb91d75a0ad7cfacd7ca1ddd2ac1`
diff --git a/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md b/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md
index f61822be9..b328b579c 100644
--- a/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md
+++ b/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md
@@ -1,9 +1,11 @@
+# Flux 1.1 [pro] Ultra Image
+
Generates images using Flux Pro 1.1 Ultra via API based on prompt and resolution. This node connects to an external service to create images according to your text description and specified dimensions.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the image generation (default: empty string) | STRING | Yes | - |
| `prompt_upsampling` | Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False) | BOOLEAN | No | - |
| `seed` | The random seed used for creating the noise. (default: 0) | INT | No | 0 to 18446744073709551615 |
@@ -17,10 +19,10 @@ Generates images using Flux Pro 1.1 Ultra via API based on prompt and resolution
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output_image` | The generated image from Flux Pro 1.1 Ultra | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/FluxProUltraImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `9a0e3c676456da395845a2bd869abaaca30ed63ee3faf56449a2548fbab46b5c`
+**Source fingerprint (SHA-256):** `6c9292ea666055ccd309d9e5d6d7cf8985f7b8f1e1faeda1e961b429b249f494`
diff --git a/comfyui_embedded_docs/docs/GeminiImage2Node/en.md b/comfyui_embedded_docs/docs/GeminiImage2Node/en.md
index 61aea8f2c..490ed724d 100644
--- a/comfyui_embedded_docs/docs/GeminiImage2Node/en.md
+++ b/comfyui_embedded_docs/docs/GeminiImage2Node/en.md
@@ -1,9 +1,11 @@
+# Nano Banana Pro (Google Gemini Image)
+
The GeminiImage2Node generates or edits images using Google's Vertex AI Gemini model. It sends a text prompt and optional reference images or files to the API and returns the generated image and/or a text description.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | STRING | Yes | N/A |
| `model` | The specific Gemini model to use for generation. The "Nano Banana 2" option maps to the `gemini-3.1-flash-image-preview` model internally. | COMBO | Yes | `"gemini-3-pro-image-preview"`
`"Nano Banana 2 (Gemini 3.1 Flash Image)"` |
| `seed` | When fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Changing the model or other settings can cause variations even with the same seed. Default: 42. | INT | Yes | 0 to 18446744073709551615 |
@@ -22,11 +24,11 @@ The GeminiImage2Node generates or edits images using Google's Vertex AI Gemini m
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The image generated or edited by the Gemini model. | IMAGE |
| `string` | The text response from the model. This output will be empty if `response_modalities` is set to "IMAGE". | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiImage2Node/en.md)
---
-**Source fingerprint (SHA-256):** `5814a952815288c0b4b5962f646c69b0e618bfb9ab92b31ba60eab313c68a01c`
+**Source fingerprint (SHA-256):** `3483c2b157c7359a571e2478d8709019b42b895195bc5fa14c44d6ba2950234d`
diff --git a/comfyui_embedded_docs/docs/GeminiInputFiles/en.md b/comfyui_embedded_docs/docs/GeminiInputFiles/en.md
index a7bb00e47..2a663f4fc 100644
--- a/comfyui_embedded_docs/docs/GeminiInputFiles/en.md
+++ b/comfyui_embedded_docs/docs/GeminiInputFiles/en.md
@@ -1,9 +1,11 @@
+# Gemini Input Files
+
Loads and formats input files for use with the Gemini API. This node allows users to include text (.txt) and PDF (.pdf) files as input context for the Gemini model. Files are converted to the appropriate format required by the API and can be chained together to include multiple files in a single request.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `file` | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than the maximum input file size limit (20 MB). | COMBO | Yes | Multiple options available (only .txt and .pdf files under 20 MB) |
| `GEMINI_INPUT_FILES` | An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files. | GEMINI_INPUT_FILES | No | N/A |
@@ -12,10 +14,10 @@ Loads and formats input files for use with the Gemini API. This node allows user
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `GEMINI_INPUT_FILES` | Formatted file data ready for use with Gemini LLM nodes, containing the loaded file content in the appropriate API format. | GEMINI_INPUT_FILES |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiInputFiles/en.md)
---
-**Source fingerprint (SHA-256):** `dc8ddfffc13984b2d0cc08a50f2a8c26f9608724f632ab49fdeff12bc2e5424a`
+**Source fingerprint (SHA-256):** `1c80a87746c7ac73379f5c1e2d5c4d22f0fc44d3241fafb0297e087e436df7d6`
diff --git a/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md b/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md
index 4fd3bcebc..1c94b933b 100644
--- a/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md
+++ b/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md
@@ -1,9 +1,11 @@
+# GeminiNanoBanana2
+
The GeminiNanoBanana2 node generates or edits images using Google's Vertex AI Gemini model. It works by sending a text prompt, along with optional reference images or files, to the API and returns the generated image and any accompanying text.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | STRING | Yes | N/A |
| `model` | The specific Gemini model to use for image generation. | COMBO | Yes | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` |
| `seed` | When the seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. (default: 42) | INT | Yes | 0 to 18446744073709551615 |
@@ -20,7 +22,7 @@ The GeminiNanoBanana2 node generates or edits images using Google's Vertex AI Ge
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The primary image generated or edited by the model. | IMAGE |
| `string` | Any text content returned by the model. | STRING |
| `thought_image` | First image from the model's thinking process. Only available with thinking_level HIGH and IMAGE+TEXT modality. | IMAGE |
@@ -28,4 +30,4 @@ The GeminiNanoBanana2 node generates or edits images using Google's Vertex AI Ge
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2/en.md)
---
-**Source fingerprint (SHA-256):** `6dae505011e2860cbf2ec6ccb5a32949d5daa3fe3546e85181050fd9ac92b9e5`
+**Source fingerprint (SHA-256):** `3564bef74329f7019a2c9a67047d45e7342ee2e532126d597d0d21c995e1a5be`
diff --git a/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md b/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md
index 150f54885..a9fd1d856 100644
--- a/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md
+++ b/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md
@@ -1,16 +1,20 @@
+# Nano Banana 2
+
## Overview
-This node generates or edits images by sending a text prompt to Google's Vertex AI API. It uses a specific Gemini model to create new images or modify existing ones based on your instructions.
+This node generates or edits images by sending a text prompt to Google's Vertex AI API. It uses the Gemini 3.1 Flash Image model to create new images or modify existing ones based on your instructions.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow. | STRING | Yes | N/A |
-| `model` | Selects the Gemini model to use for image generation. Currently only one option is available. This parameter includes additional sub-parameters for resolution, aspect ratio, thinking level, and image input. | COMBO | Yes | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` |
+| `model` | Selects the Gemini model to use for image generation. This parameter includes additional sub-parameters for resolution, aspect ratio, thinking level, and image input. | COMBO | Yes | `"Nano Banana 2 (Gemini 3.1 Flash Image)"` |
| `seed` | When the seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. (default: 42) | INT | Yes | 0 to 18446744073709551615 |
| `response_modalities` | Determines the format of the response. Choose "IMAGE" to receive only an image, or "IMAGE+TEXT" to receive both an image and a text description. (default: "IMAGE") | COMBO | Yes | `"IMAGE"`
`"IMAGE+TEXT"` |
| `system_prompt` | Foundational instructions that dictate an AI's behavior. This is an advanced parameter. (default: A pre-defined system prompt instructing the model to always produce an image) | STRING | No | N/A |
+| `temperature` | Controls randomness in generation. Lower values produce more focused and deterministic results. This is an advanced parameter. (default: 1.0) | FLOAT | No | 0.0 to 2.0 |
+| `top_p` | Nucleus sampling threshold. Lower values produce more focused results, higher values produce more diverse results. This is an advanced parameter. (default: 0.95) | FLOAT | No | 0.0 to 1.0 |
**Note on `model` parameter:** The `model` parameter is a dynamic combo that includes additional sub-parameters for resolution, aspect ratio, thinking level, and image input. These sub-parameters are defined within the model selection and are not listed as separate inputs in this table.
@@ -19,7 +23,7 @@ This node generates or edits images by sending a text prompt to Google's Vertex
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `IMAGE` | The generated or edited image. | IMAGE |
| `STRING` | A text description or caption generated by the model. | STRING |
| `thought_image` | First image from the model's thinking process. Only available with thinking_level HIGH and IMAGE+TEXT modality. | IMAGE |
@@ -27,4 +31,4 @@ This node generates or edits images by sending a text prompt to Google's Vertex
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNanoBanana2V2/en.md)
---
-**Source fingerprint (SHA-256):** `0b9af4e937874f2e192f3dc0b67f8e769b37d6595fbddb7a326b1f13e3e444d3`
+**Source fingerprint (SHA-256):** `e3806713e8c58ac9ba0fe41875ef7162b7e18d276c63be53e46865efcc359079`
diff --git a/comfyui_embedded_docs/docs/GeminiNode/en.md b/comfyui_embedded_docs/docs/GeminiNode/en.md
index 43ce1e02f..816d2a512 100644
--- a/comfyui_embedded_docs/docs/GeminiNode/en.md
+++ b/comfyui_embedded_docs/docs/GeminiNode/en.md
@@ -1,9 +1,11 @@
+# ComfyUI Node Documentation: GeminiNode
+
This node allows users to interact with Google's Gemini AI models to generate text responses. You can provide multiple types of inputs including text, images, audio, video, and files as context for the model to generate more relevant and meaningful responses. The node handles all API communication and response parsing automatically.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text inputs to the model, used to generate a response. You can include detailed instructions, questions, or context for the model. Default: empty string. | STRING | Yes | - |
| `model` | The Gemini model to use for generating responses. Default: gemini-3-1-pro. | COMBO | Yes | `gemini-2.5-pro-preview-05-06`
`gemini-2.5-flash-preview-04-17`
`gemini-2.5-pro`
`gemini-2.5-flash`
`gemini-3-pro-preview`
`gemini-3-1-pro`
`gemini-3-1-flash-lite` |
| `seed` | When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. Default: 42. | INT | Yes | 0 to 18446744073709551615 |
@@ -16,10 +18,10 @@ This node allows users to interact with Google's Gemini AI models to generate te
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `STRING` | The text response generated by the Gemini model. | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GeminiNode/en.md)
---
-**Source fingerprint (SHA-256):** `c7f01d4d4f748a3a80c6e68ccd509cc1da03ed041bd2eaa8124887e7d02eb576`
+**Source fingerprint (SHA-256):** `06d3894292600e7106b38b476443ceac21480878fa2933eb18eee7a0b9ca3c6a`
diff --git a/comfyui_embedded_docs/docs/GeminiNodeV2/ar.md b/comfyui_embedded_docs/docs/GeminiNodeV2/ar.md
index 687d35bc9..cd6b51694 100644
--- a/comfyui_embedded_docs/docs/GeminiNodeV2/ar.md
+++ b/comfyui_embedded_docs/docs/GeminiNodeV2/ar.md
@@ -6,10 +6,10 @@
| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
|-----------|-------------|-----------|----------|-------|
-| `prompt` | إدخال نصي للنموذج. قم بتضمين تعليمات مفصلة أو أسئلة أو سياق. | STRING | نعم | |
-| `model` | نموذج Gemini المستخدم لتوليد الاستجابة. | COMBO | نعم | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` |
-| `seed` | بذرة لأخذ العينات. اضبط على 0 لبذرة عشوائية. لا يُضمن إخراج حتمي. (الافتراضي: 42) | INT | نعم | 0 إلى 2147483647 |
-| `system_prompt` | تعليمات أساسية تحدد سلوك النموذج. (الافتراضي: "") | STRING | لا | |
+| `المطالبة` | إدخال نصي للنموذج. قم بتضمين تعليمات مفصلة أو أسئلة أو سياق. | STRING | نعم | |
+| `النموذج` | نموذج Gemini المستخدم لتوليد الاستجابة. | COMBO | نعم | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` |
+| `البذرة` | بذرة لأخذ العينات. اضبط على 0 لبذرة عشوائية. لا يُضمن إخراج حتمي. (الافتراضي: 42) | INT | نعم | 0 إلى 2147483647 |
+| `تعليمات النظام` | تعليمات أساسية تحدد سلوك النموذج. (الافتراضي: "") | STRING | لا | |
**ملاحظة:** عند تقديم الصور أو الصوت أو الفيديو كسياق متعدد الوسائط، تقوم العقدة برفع الوسائط كروابط URL للمدخلات العشرة الأولى. يتم إرسال أي وسائط إضافية مضمنة كبيانات base64، مع حد أقصى للحمولة المضمنة يبلغ 18 ميجابايت. إذا تجاوزت الحمولة المضمنة هذا الحد، يتم إظهار خطأ.
diff --git a/comfyui_embedded_docs/docs/GeminiNodeV2/fa.md b/comfyui_embedded_docs/docs/GeminiNodeV2/fa.md
index 2671401a6..9c4763f4a 100644
--- a/comfyui_embedded_docs/docs/GeminiNodeV2/fa.md
+++ b/comfyui_embedded_docs/docs/GeminiNodeV2/fa.md
@@ -6,8 +6,8 @@
| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
|-----------|-------------|-----------|----------|-------|
-| `prompt` | متن ورودی به مدل. شامل دستورالعملهای دقیق، سوالات یا زمینه باشد. | STRING | بله | |
-| `model` | مدل Gemini مورد استفاده برای تولید پاسخ. | COMBO | بله | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` |
+| `راهنما` | متن ورودی به مدل. شامل دستورالعملهای دقیق، سوالات یا زمینه باشد. | STRING | بله | |
+| `مدل` | مدل Gemini مورد استفاده برای تولید پاسخ. | COMBO | بله | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` |
| `seed` | دانهی نمونهبرداری. برای دانهی تصادفی روی 0 تنظیم کنید. خروجی قطعی تضمین نمیشود. (پیشفرض: 42) | INT | بله | 0 تا 2147483647 |
| `system_prompt` | دستورالعملهای بنیادین که رفتار مدل را تعیین میکنند. (پیشفرض: "") | STRING | خیر | |
diff --git a/comfyui_embedded_docs/docs/GeminiNodeV2/fr.md b/comfyui_embedded_docs/docs/GeminiNodeV2/fr.md
index 3ed75e188..7a3e71081 100644
--- a/comfyui_embedded_docs/docs/GeminiNodeV2/fr.md
+++ b/comfyui_embedded_docs/docs/GeminiNodeV2/fr.md
@@ -6,10 +6,10 @@ Générer des réponses textuelles avec les modèles Gemini de Google. Fournisse
| Paramètre | Description | Type de données | Requis | Plage |
|-----------|-------------|-----------------|--------|-------|
-| `prompt` | Saisie textuelle pour le modèle. Incluez des instructions détaillées, des questions ou du contexte. | STRING | Oui | |
-| `model` | Le modèle Gemini utilisé pour générer la réponse. | COMBO | Oui | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` |
-| `seed` | Graine pour l'échantillonnage. Définissez sur 0 pour une graine aléatoire. La sortie déterministe n'est pas garantie. (par défaut : 42) | INT | Oui | 0 à 2147483647 |
-| `system_prompt` | Instructions fondamentales qui dictent le comportement du modèle. (par défaut : "") | STRING | Non | |
+| `invite` | Saisie textuelle pour le modèle. Incluez des instructions détaillées, des questions ou du contexte. | STRING | Oui | |
+| `modèle` | Le modèle Gemini utilisé pour générer la réponse. | COMBO | Oui | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` |
+| `graine` | Graine pour l'échantillonnage. Définissez sur 0 pour une graine aléatoire. La sortie déterministe n'est pas garantie. (par défaut : 42) | INT | Oui | 0 à 2147483647 |
+| `invite système` | Instructions fondamentales qui dictent le comportement du modèle. (par défaut : "") | STRING | Non | |
**Remarque :** Lors de la fourniture d'images, d'audio ou de vidéos comme contexte multimodal, le nœud télécharge les médias sous forme d'URL pour les 10 premières entrées. Tout média supplémentaire est envoyé en ligne sous forme de données base64, avec une charge utile maximale en ligne de 18 Mo. Si la charge utile en ligne dépasse cette limite, une erreur est générée.
diff --git a/comfyui_embedded_docs/docs/GeminiNodeV2/pt-BR.md b/comfyui_embedded_docs/docs/GeminiNodeV2/pt-BR.md
index b0ad1feaf..5b64dbd5a 100644
--- a/comfyui_embedded_docs/docs/GeminiNodeV2/pt-BR.md
+++ b/comfyui_embedded_docs/docs/GeminiNodeV2/pt-BR.md
@@ -7,9 +7,9 @@ Gere respostas de texto com os modelos Gemini do Google. Forneça um prompt de t
| Parâmetro | Descrição | Tipo de Dados | Obrigatório | Faixa |
|-----------|-----------|---------------|-------------|-------|
| `prompt` | Entrada de texto para o modelo. Inclua instruções detalhadas, perguntas ou contexto. | STRING | Sim | |
-| `model` | O modelo Gemini usado para gerar a resposta. | COMBO | Sim | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` |
-| `seed` | Semente para amostragem. Defina como 0 para uma semente aleatória. A saída determinística não é garantida. (padrão: 42) | INT | Sim | 0 a 2147483647 |
-| `system_prompt` | Instruções fundamentais que determinam o comportamento do modelo. (padrão: "") | STRING | Não | |
+| `modelo` | O modelo Gemini usado para gerar a resposta. | COMBO | Sim | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` |
+| `semente` | Semente para amostragem. Defina como 0 para uma semente aleatória. A saída determinística não é garantida. (padrão: 42) | INT | Sim | 0 a 2147483647 |
+| `prompt_do_sistema` | Instruções fundamentais que determinam o comportamento do modelo. (padrão: "") | STRING | Não | |
**Observação:** Ao fornecer imagens, áudio ou vídeo como contexto multimodal, o nó faz upload da mídia como URLs para as primeiras 10 entradas. Qualquer mídia adicional é enviada inline como dados base64, com um payload inline máximo de 18 MB. Se o payload inline exceder esse limite, um erro será gerado.
diff --git a/comfyui_embedded_docs/docs/GeminiNodeV2/ru.md b/comfyui_embedded_docs/docs/GeminiNodeV2/ru.md
index c939c8815..020d819a0 100644
--- a/comfyui_embedded_docs/docs/GeminiNodeV2/ru.md
+++ b/comfyui_embedded_docs/docs/GeminiNodeV2/ru.md
@@ -6,10 +6,10 @@
| Параметр | Описание | Тип данных | Обязательный | Диапазон |
|----------|----------|------------|--------------|----------|
-| `prompt` | Текстовый ввод для модели. Включайте подробные инструкции, вопросы или контекст. | STRING | Да | |
-| `model` | Модель Gemini, используемая для генерации ответа. | COMBO | Да | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` |
+| `запрос` | Текстовый ввод для модели. Включайте подробные инструкции, вопросы или контекст. | STRING | Да | |
+| `модель` | Модель Gemini, используемая для генерации ответа. | COMBO | Да | `"Gemini 3.1 Pro"`
`"Gemini 3.1 Flash-Lite"` |
| `seed` | Зерно для семплирования. Установите 0 для случайного зерна. Детерминированный вывод не гарантируется. (по умолчанию: 42) | INT | Да | от 0 до 2147483647 |
-| `system_prompt` | Базовые инструкции, определяющие поведение модели. (по умолчанию: "") | STRING | Нет | |
+| `системный запрос` | Базовые инструкции, определяющие поведение модели. (по умолчанию: "") | STRING | Нет | |
**Примечание:** При передаче изображений, аудио или видео в качестве мультимодального контекста узел загружает медиафайлы как URL-адреса для первых 10 входных данных. Любые дополнительные медиафайлы отправляются встроенными в виде данных base64 с максимальным размером встроенной полезной нагрузки 18 МБ. Если встроенная полезная нагрузка превышает этот лимит, возникает ошибка.
diff --git a/comfyui_embedded_docs/docs/GetVideoComponents/en.md b/comfyui_embedded_docs/docs/GetVideoComponents/en.md
index db075b7a5..62775060f 100644
--- a/comfyui_embedded_docs/docs/GetVideoComponents/en.md
+++ b/comfyui_embedded_docs/docs/GetVideoComponents/en.md
@@ -1,20 +1,23 @@
-The Get Video Components node extracts all the main elements from a video file. It separates the video into individual frames, extracts the audio track, and provides the video's framerate information. This allows you to work with each component independently for further processing or analysis.
+# Get Video Components
+
+The Get Video Components node extracts all the main elements from a video file. It separates the video into individual frames, extracts the audio track, and provides the video's framerate and bit depth information. This allows you to work with each component independently for further processing or analysis.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `video` | The video to extract components from. | VIDEO | Yes | - |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `images` | The individual frames extracted from the video as separate images. | IMAGE |
| `audio` | The audio track extracted from the video. | AUDIO |
| `fps` | The framerate of the video in frames per second. | FLOAT |
+| `bit_depth` | The bit depth of the video. | INT |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GetVideoComponents/en.md)
---
-**Source fingerprint (SHA-256):** `de129130ed4b82d875c4e8c660209b88172e3cdd41fed8c822fb7e807c92ed47`
+**Source fingerprint (SHA-256):** `b2232b2c558b472226418d56910b9b763d8398612b31c4019d4881d0c4717b8d`
diff --git a/comfyui_embedded_docs/docs/GrokImageEditNode/en.md b/comfyui_embedded_docs/docs/GrokImageEditNode/en.md
index 9c031d56e..c04126b7d 100644
--- a/comfyui_embedded_docs/docs/GrokImageEditNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokImageEditNode/en.md
@@ -1,10 +1,12 @@
+# Grok Image Edit Node
+
The Grok Image Edit node modifies an existing image based on a text prompt. It uses the Grok API to generate one or more new images that are variations of the input, guided by your description.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `model` | The specific AI model to use for image editing. | COMBO | Yes | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` |
+|-----------|-------------|-----------|----------|-------|
+| `model` | The specific AI model to use for image editing. | COMBO | Yes | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"` |
| `image` | The input image(s) to be edited. Supports up to 3 input images, except for the "pro" model which supports only 1. | IMAGE | Yes | |
| `prompt` | The text prompt used to generate the edited image. Must be at least 1 character after stripping whitespace. | STRING | Yes | |
| `resolution` | The resolution for the output image. | COMBO | Yes | `"1K"`
`"2K"` |
@@ -19,10 +21,10 @@ The Grok Image Edit node modifies an existing image based on a text prompt. It u
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The edited image(s) generated by the node. If `number_of_images` is greater than 1, the outputs are concatenated into a batch. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNode/en.md)
---
-**Source fingerprint (SHA-256):** `31cfe7ad382033f69330ed4de1ec831ccc25156498563e1541368e2662ed3ddb`
+**Source fingerprint (SHA-256):** `5b2eb9418302bba0e18f43edeab7dc73c9b14ebc78b1ce6cc8a3e5bb411f0351`
diff --git a/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md b/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md
index b7e94e30a..e64b8d9de 100644
--- a/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md
+++ b/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md
@@ -1,11 +1,11 @@
-## Overview
+# Grok Image Edit Node V2
Modify an existing image based on a text prompt. This node sends your images and a text description to the Grok API, which edits the images according to your instructions and returns the result.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | The text prompt used to generate the image. Must be at least 1 character long after stripping whitespace. | STRING | Yes | N/A |
| `model` | The Grok image model to use. This parameter has multiple sub-options that appear after selecting a model. Available models: `grok-imagine-image-quality`
`grok-imagine-image-pro`
`grok-imagine-image`. Each model has different capabilities (see note below). | MODEL | Yes | See Description |
| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | INT | Yes | 0 to 2147483647 |
@@ -21,10 +21,10 @@ Modify an existing image based on a text prompt. This node sends your images and
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `IMAGE` | The edited image(s) returned by the Grok API. If a single image is generated, it is returned directly. If multiple images are generated, they are concatenated into a single batch tensor. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageEditNodeV2/en.md)
---
-**Source fingerprint (SHA-256):** `90ace53f5f2e40da315d4940fa801d84950de6db2d8ed1cf9d715d88a2b1ebf0`
+**Source fingerprint (SHA-256):** `60ff1c0dd97398130aee3cbab46ab273b99ec0a41b105eb1cdb7bd08a7d2c038`
diff --git a/comfyui_embedded_docs/docs/GrokImageNode/en.md b/comfyui_embedded_docs/docs/GrokImageNode/en.md
index 9e6b9351b..40354dcad 100644
--- a/comfyui_embedded_docs/docs/GrokImageNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokImageNode/en.md
@@ -1,14 +1,16 @@
+# Grok Image Node
+
The Grok Image node generates one or more images based on a text description using the Grok AI model. It sends your prompt to an external service and returns the generated images as tensors that can be used in your workflow.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `model` | The specific Grok model to use for image generation. Different models may offer varying quality, speed, or features. | COMBO | Yes | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"`
`"grok-imagine-image-beta"` |
+|-----------|-------------|-----------|----------|-------|
+| `model` | The specific Grok model to use for image generation. Different models may offer varying quality, speed, or features. | COMBO | Yes | `"grok-imagine-image-quality"`
`"grok-imagine-image-pro"`
`"grok-imagine-image"` |
| `prompt` | The text prompt used to generate the image. This description guides the AI on what to create. Must be at least 1 character long. | STRING | Yes | N/A |
| `aspect_ratio` | The desired width-to-height ratio for the generated image. | COMBO | Yes | `"1:1"`
`"2:3"`
`"3:2"`
`"3:4"`
`"4:3"`
`"9:16"`
`"16:9"`
`"9:19.5"`
`"19.5:9"`
`"9:20"`
`"20:9"`
`"1:2"`
`"2:1"` |
| `number_of_images` | Number of images to generate (default: 1). | INT | No | 1 to 10 |
-| `seed` | A seed value to determine if the node should re-run. The actual image results are nondeterministic and will vary even with the same seed (default: 0). | INT | No | 0 to 2147483647 |
+| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | INT | No | 0 to 2147483647 |
| `resolution` | The desired output resolution for the generated images (default: "1K"). | COMBO | No | `"1K"`
`"2K"` |
**Note:** The `seed` parameter is primarily used to control when the node re-executes within a workflow. Due to the nature of the external AI service, the generated images will not be reproducible or identical across runs, even with an identical seed.
@@ -18,10 +20,10 @@ The Grok Image node generates one or more images based on a text description usi
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated image or a batch of images. If `number_of_images` is 1, a single image tensor is returned. If greater than 1, a batch of image tensors is returned. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `f4af858c6b94fd74be1856849417609f3d45fc0f139e8f2e56cdabb6e3521076`
+**Source fingerprint (SHA-256):** `e7f3e249c56ee0f9f4e703d6c478cc0f160f95ee605acd5176f4f62212b8b3cf`
diff --git a/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md b/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md
index 4e161e3a5..671d0b70c 100644
--- a/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md
@@ -1,13 +1,15 @@
+# Grok Video Edit Node
+
This node uses the Grok API to edit an existing video based on a text prompt. It uploads your video, sends a request to the AI model to modify it according to your description, and returns the newly generated video.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `model` | The AI model to use for video editing (default: `"grok-imagine-video"`). | COMBO | Yes | `"grok-imagine-video"`
`"grok-imagine-video-beta"` |
+|-----------|-------------|-----------|----------|-------|
+| `model` | The AI model to use for video editing (default: `"grok-imagine-video"`). | STRING | Yes | `"grok-imagine-video"` |
| `prompt` | Text description of the desired video. | STRING | Yes | N/A |
| `video` | The input video to be edited. Maximum supported duration is 8.7 seconds and 50MB file size. | VIDEO | Yes | N/A |
-| `seed` | A seed value to determine if the node should re-run. The actual results are nondeterministic regardless of the seed value (default: 0). | INT | No | 0 to 2147483647 |
+| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | INT | No | 0 to 2147483647 |
**Constraints:**
@@ -18,10 +20,10 @@ This node uses the Grok API to edit an existing video based on a text prompt. It
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The edited video generated by the AI model. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoEditNode/en.md)
---
-**Source fingerprint (SHA-256):** `04cdc989b48445562017cd2c2066c773473c5c241ed94ff6eca00b8aadf4c6df`
+**Source fingerprint (SHA-256):** `488aa152744e5a17a9fbc55f8cbc3e863e1212f58544e47aa377276e8990834c`
diff --git a/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md b/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md
index f73dc7863..74419f1f6 100644
--- a/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md
@@ -1,9 +1,11 @@
+# Grok Video Extend Node
+
The Grok Video Extend node uses an AI model to create a seamless continuation of an existing video. You provide a short video and a text prompt describing what should happen next, and the node generates a new video clip that follows on from the original.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text description of what should happen next in the video. | STRING | Yes | N/A |
| `video` | Source video to extend. MP4 format, 2-15 seconds. | VIDEO | Yes | N/A |
| `model` | The model to use for video extension. When selected, it reveals a nested `duration` parameter. | COMBO | Yes | `"grok-imagine-video"` |
@@ -17,10 +19,10 @@ The Grok Video Extend node uses an AI model to create a seamless continuation of
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The newly generated video extension. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoExtendNode/en.md)
---
-**Source fingerprint (SHA-256):** `7e56ecb0cb31795b4124671e074ef274d6de61ec2cd734b6edd5e76a3cb6a7ba`
+**Source fingerprint (SHA-256):** `bfaf56dd12afab13c820345587db9ee871db87d60b8dc003f00f035513dbdf61`
diff --git a/comfyui_embedded_docs/docs/GrokVideoNode/en.md b/comfyui_embedded_docs/docs/GrokVideoNode/en.md
index d54fcd59b..ab63707c7 100644
--- a/comfyui_embedded_docs/docs/GrokVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokVideoNode/en.md
@@ -1,26 +1,28 @@
+# Grok Video Node
+
The Grok Video node generates a short video from a text description. It can create a video from scratch using a prompt or animate a single input image based on a prompt. The node sends a request to an external API and returns the generated video.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `model` | The model to use for video generation. | COMBO | Yes | `"grok-imagine-video"`
`"grok-imagine-video-beta"` |
+|-----------|-------------|-----------|----------|-------|
+| `model` | The model to use for video generation. | COMBO | Yes | `"grok-imagine-video"`
`"grok-imagine-video-1.5"` |
| `prompt` | Text description of the desired video. | STRING | Yes | - |
| `resolution` | The resolution of the output video. | COMBO | Yes | `"480p"`
`"720p"` |
| `aspect_ratio` | The aspect ratio of the output video (default: "auto"). | COMBO | Yes | `"auto"`
`"16:9"`
`"4:3"`
`"3:2"`
`"1:1"`
`"2:3"`
`"3:4"`
`"9:16"` |
| `duration` | The duration of the output video in seconds (default: 6). | INT | Yes | 1 to 15 |
| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | INT | Yes | 0 to 2147483647 |
-| `image` | An optional input image to animate. | IMAGE | No | - |
+| `image` | Optional starting image for grok-imagine-video. Required for grok-imagine-video-1.5. | IMAGE | No | - |
-**Note:** If an `image` is provided, only one image is supported. Providing multiple images will cause an error. The `prompt` must be at least 1 character long after stripping whitespace.
+**Note:** The `grok-imagine-video-1.5` model always requires an input image. If an `image` is provided, only one image is supported. Providing multiple images will cause an error. The `prompt` must be at least 1 character long after stripping whitespace.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `7b4bcd25cfe620b4593c16a2cb2a288e47f9791ae2c60d56b79009bc62bac6e2`
+**Source fingerprint (SHA-256):** `1f9bdd4698f01a36b0bd9a696a7acb04330073794c11ede229949999ffce5be4`
diff --git a/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md b/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md
index 736658d99..df949c468 100644
--- a/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md
+++ b/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md
@@ -1,9 +1,11 @@
+# Grok Reference-to-Video Node
+
The Grok Reference-to-Video node generates a video based on a text prompt, using up to seven reference images to guide the style and content of the output. It connects to an external API to create the video, which is then downloaded and returned.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text description of the desired video. | STRING | Yes | N/A |
| `model` | The model to use for video generation. | COMBO | Yes | `"grok-imagine-video"` |
| `model.reference_images` | Up to 7 reference images to guide the video generation. | IMAGE | Yes | 1 to 7 images |
@@ -17,10 +19,10 @@ The Grok Reference-to-Video node generates a video based on a text prompt, using
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/GrokVideoReferenceNode/en.md)
---
-**Source fingerprint (SHA-256):** `df50e80ca403d05469881e1c456ca4777d70989d8950c5e3844271c3ff8df85a`
+**Source fingerprint (SHA-256):** `4945105faa7dc97012f08e1e1a8f2ca2161045122a6b73c7768f1268d1d0d68b`
diff --git a/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md b/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md
index 84943fa4a..e88466432 100644
--- a/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md
@@ -1,11 +1,11 @@
-## Overview
+# HappyHorse Image to Video
This node generates a short video from a single starting image using the HappyHorse model. You provide a first frame image and a text prompt describing the desired motion and scene, and the node creates a video that continues from that image.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The HappyHorse model to use for video generation. | COMBO | Yes | `"happyhorse-1.0-i2v"` |
| `model.prompt` | Prompt describing the elements and visual features. Supports English and Chinese. (default: "") | STRING | No | N/A |
| `model.resolution` | The output video resolution. (default: "720P") | COMBO | Yes | `"720P"`
`"1080P"` |
@@ -17,10 +17,10 @@ This node generates a short video from a single starting image using the HappyHo
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseImageToVideoApi/en.md)
---
-**Source fingerprint (SHA-256):** `b8764d68024b7d2a526b6cc3e1e56c3240b1aa55f31a07263e7014d4f6c67509`
+**Source fingerprint (SHA-256):** `bba88bba1028475b26d56ec960a3f7dc160b5f3fa3f2c8f52ffdf4b70863e9a1`
diff --git a/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md b/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md
index 5f3942074..9e17ed404 100644
--- a/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md
@@ -1,27 +1,27 @@
-## Overview
+# HappyHorse Reference to Video
-This node generates a video featuring a person or object based on reference images using the HappyHorse model. It supports creating videos with a single character or multiple characters interacting with each other.
+This node generates a video featuring a person or object from reference images using the HappyHorse model. It supports creating videos with single-character performances and multi-character interactions.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The HappyHorse model to use for video generation. | COMBO | Yes | `"happyhorse-1.0-r2v"` |
-| `prompt` | A text description of the video you want to generate. Use identifiers like 'character1' and 'character2' to refer to the reference characters. | STRING | Yes | N/A |
+| `prompt` | Prompt describing the video. Use identifiers such as 'character1' and 'character2' to refer to the reference characters. | STRING | Yes | N/A |
| `resolution` | The resolution of the generated video. | COMBO | Yes | `"720P"`
`"1080P"` |
| `ratio` | The aspect ratio of the generated video. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"` |
| `duration` | The duration of the generated video in seconds (default: 5). | INT | Yes | 3 to 15 |
-| `reference_images` | One or more reference images of the person or object to feature in the video. You must provide at least one image. | IMAGE | Yes | 1 to 9 |
-| `seed` | A seed value for reproducible generation (default: 0). The seed can be set to automatically change after each generation. | INT | No | 0 to 2147483647 |
-| `watermark` | Whether to add an AI-generated watermark to the resulting video (default: False). | BOOLEAN | No | True or False |
+| `reference_images` | One or more reference images of the person or object to feature in the video. At least one image must be provided. | IMAGE | Yes | 1 to 9 |
+| `seed` | Seed to use for generation (default: 0). Can be set to automatically change after each generation. | INT | No | 0 to 2147483647 |
+| `watermark` | Whether to add an AI-generated watermark to the result (default: False). | BOOLEAN | No | True or False |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `VIDEO` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseReferenceVideoApi/en.md)
---
-**Source fingerprint (SHA-256):** `42c844db22ed2284bd16bd28fe0060652248ada0d5d31003134768ed5e44356c`
+**Source fingerprint (SHA-256):** `61e22c2424191b59b3c6f6be1917e47d26436eba5360c1e173b59b4de40216f2`
diff --git a/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md b/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md
index 6d573ced5..b47cb139e 100644
--- a/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md
@@ -1,3 +1,5 @@
+# HappyHorse Text to Video
+
## Overview
Generates a video based on a text prompt using the HappyHorse model. This node sends your prompt and settings to the HappyHorse API, waits for the video to be generated, and then downloads the result.
@@ -5,7 +7,7 @@ Generates a video based on a text prompt using the HappyHorse model. This node s
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | A dictionary containing the model selection and its associated parameters. The model must be `"happyhorse-1.0-t2v"`. This dictionary includes the following sub-parameters:
**`prompt`** (STRING): The text description of the video you want to generate. Supports English and Chinese. (default: "").
**`resolution`** (COMBO): The resolution of the output video. Options: `"720P"`
`"1080P"`.
**`ratio`** (COMBO): The aspect ratio of the output video. Options: `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`.
**`duration`** (INT): The length of the video in seconds. (default: 5, min: 3, max: 15, step: 1). | DICT | Yes | See Description |
| `seed` | Seed to use for generation. Using the same seed with the same inputs will produce the same result. (default: 0). | INT | Yes | 0 to 2147483647 |
| `watermark` | Whether to add an AI-generated watermark to the result. (default: False). | BOOLEAN | No | True / False |
@@ -13,10 +15,10 @@ Generates a video based on a text prompt using the HappyHorse model. This node s
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `VIDEO` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseTextToVideoApi/en.md)
---
-**Source fingerprint (SHA-256):** `8e2c0aaab2c8918079c5ec02916375e9a11b0e745d3296155f37c0128a9dbc3c`
+**Source fingerprint (SHA-256):** `2ef0dbac9a3c35ca67364530a9c6bb4693266e093456dc1a2c95e499b3b2d493`
diff --git a/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md b/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md
index b14544dbc..c8b56acea 100644
--- a/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md
+++ b/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md
@@ -1,22 +1,22 @@
-## Overview
+# HappyHorse Video Edit
-Edit a video using text instructions or reference images with the HappyHorse model. The output duration is 3-15 seconds and matches the input video; inputs longer than 15 seconds are truncated.
+Edit a video using text instructions or reference images with the HappyHorse model. Output duration is 3-15 seconds and matches the input video; inputs longer than 15 seconds are truncated.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | Model configuration containing the model selection, prompt, resolution, aspect ratio, and optional reference images. | DICT | Yes | See below |
| `video` | The video to edit. | VIDEO | Yes | - |
| `seed` | Seed to use for generation (default: 0). | INT | Yes | 0 to 2147483647 |
-| `watermark` | Whether to add an AI-generated watermark to the result (default: False). | BOOLEAN | No | True / False |
+| `watermark` | Whether to add an AI-generated watermark to the result (default: False). | BOOLEAN | No | True
False |
### `model` Parameter Details
The `model` parameter is a dictionary with the following fields:
| Field | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-------|-------------|-----------|----------|-------|
| `model` | The HappyHorse video editing model to use. | STRING | Yes | `"happyhorse-1.0-video-edit"` |
| `prompt` | Editing instructions or style transfer requirements. Must be at least 1 character long. | STRING | Yes | - |
| `resolution` | The output resolution. | STRING | Yes | `"720P"`
`"1080P"` |
@@ -26,10 +26,10 @@ The `model` parameter is a dictionary with the following fields:
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The edited video output. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HappyHorseVideoEditApi/en.md)
---
-**Source fingerprint (SHA-256):** `eadb446a8dbcc524a8bb6a2ee48941136f8c1ec2cb64aa9061fb1fa22e1b683d`
+**Source fingerprint (SHA-256):** `396cad4b5a06d457746a421050df98c892fa9db6019e3de983b4d0c417842b57`
diff --git a/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md b/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md
index 29651adc4..c457508ff 100644
--- a/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md
+++ b/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md
@@ -1,9 +1,11 @@
+# HitPaw General Image Enhance
+
This node enhances low-resolution images by upscaling them to super-resolution, removing artifacts and noise. It uses an external API to process the image and can automatically adjust the input size to stay within processing limits. The maximum allowed output size is 32 megapixels.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The enhancement model to use. The `generative_portrait` model is optimized for portraits, while `generative` is a general-purpose model. | STRING | Yes | `"generative_portrait"`
`"generative"` |
| `image` | The input image to be enhanced. | IMAGE | Yes | - |
| `upscale_factor` | The factor by which to upscale the image's dimensions. A factor of 1 means no upscaling, 2 doubles the dimensions, and 4 quadruples them. | INT | Yes | `1`
`2`
`4` |
@@ -14,10 +16,10 @@ This node enhances low-resolution images by upscaling them to super-resolution,
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The enhanced and upscaled output image. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawGeneralImageEnhance/en.md)
---
-**Source fingerprint (SHA-256):** `1cb59c04e517b6ecce3a4cb809d3cad26bb7a0fe6d16ddf72b9729e186e25d53`
+**Source fingerprint (SHA-256):** `effdb98c6400d3b4e3ad238be7049187af6512efacad45996f2a49a0b18b67b3`
diff --git a/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md b/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md
index 311ac1a6d..091ced727 100644
--- a/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md
+++ b/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md
@@ -1,3 +1,5 @@
+# HitPaw Video Enhance
+
The HitPaw Video Enhance node uses an external API to improve the quality of videos. It upscales low-resolution videos to a higher resolution, removes visual artifacts, and reduces noise. The processing cost is calculated per second of the input video.
## Inputs
@@ -22,4 +24,4 @@ The HitPaw Video Enhance node uses an external API to improve the quality of vid
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/HitPawVideoEnhance/en.md)
---
-**Source fingerprint (SHA-256):** `49291b3c610d32cf60fb4786333cb7e3d18c9de39c15577dabbd9f27bc9eac75`
+**Source fingerprint (SHA-256):** `3326833e8e542e0642e34a6cc444115376fd03c26e3c8f27592fe8e3a72d593b`
diff --git a/comfyui_embedded_docs/docs/IdeogramV1/en.md b/comfyui_embedded_docs/docs/IdeogramV1/en.md
index 683e17b3f..3b0ee6836 100644
--- a/comfyui_embedded_docs/docs/IdeogramV1/en.md
+++ b/comfyui_embedded_docs/docs/IdeogramV1/en.md
@@ -1,9 +1,11 @@
+# IdeogramV1
+
The IdeogramV1 node generates images using the Ideogram V1 model through an API. It takes text prompts and various generation settings to create one or more images based on your input. The node supports different aspect ratios and generation modes to customize the output.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the image generation (default: empty) | STRING | Yes | - |
| `turbo` | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) | BOOLEAN | Yes | - |
| `aspect_ratio` | The aspect ratio for image generation (default: "1:1") | COMBO | No | "1:1"
"4:3"
"3:4"
"16:9"
"9:16"
"2:1"
"1:2"
"3:2"
"2:3"
"4:5"
"5:4" |
@@ -17,10 +19,10 @@ The IdeogramV1 node generates images using the Ideogram V1 model through an API.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated image(s) from the Ideogram V1 model | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV1/en.md)
---
-**Source fingerprint (SHA-256):** `a42654aea292811c5f872911d6ea7303a83ea058c7132737375d81c5c8a77740`
+**Source fingerprint (SHA-256):** `c9b336054cf5d66228aeccab615985d2e9c9bdf7dce5d607212fed8a35c2c793`
diff --git a/comfyui_embedded_docs/docs/IdeogramV2/en.md b/comfyui_embedded_docs/docs/IdeogramV2/en.md
index d62e3abc5..304b7ca7a 100644
--- a/comfyui_embedded_docs/docs/IdeogramV2/en.md
+++ b/comfyui_embedded_docs/docs/IdeogramV2/en.md
@@ -1,9 +1,11 @@
+# Ideogram V2 Node Documentation
+
The Ideogram V2 node generates images using the Ideogram V2 AI model. It takes text prompts and various generation settings to create images through an API service. The node supports different aspect ratios, resolutions, and style options to customize the output images.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the image generation (default: empty string) | STRING | Yes | - |
| `turbo` | Whether to use turbo mode (faster generation, potentially lower quality) (default: False) | BOOLEAN | No | - |
| `aspect_ratio` | The aspect ratio for image generation. Ignored if resolution is not set to AUTO. (default: "1:1") | COMBO | No | "1:1"
"4:3"
"3:4"
"16:9"
"9:16"
"2:1"
"1:2"
"3:2"
"2:3"
"4:5"
"5:4" |
@@ -19,10 +21,10 @@ The Ideogram V2 node generates images using the Ideogram V2 AI model. It takes t
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated image(s) from the Ideogram V2 model | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV2/en.md)
---
-**Source fingerprint (SHA-256):** `6d1f0d536756252434a1a831cd96228ee2386bfcaa60555acfe4bab7d16b61e3`
+**Source fingerprint (SHA-256):** `a034a57996ac0b3902cab36096ac6b8401bb544faa00b8ed213bf752fdd423e2`
diff --git a/comfyui_embedded_docs/docs/IdeogramV3/en.md b/comfyui_embedded_docs/docs/IdeogramV3/en.md
index 01274bd9c..faad71ef7 100644
--- a/comfyui_embedded_docs/docs/IdeogramV3/en.md
+++ b/comfyui_embedded_docs/docs/IdeogramV3/en.md
@@ -1,9 +1,11 @@
+# Ideogram V3
+
The Ideogram V3 node generates images using the Ideogram V3 model. It supports both regular image generation from text prompts and image editing when both an image and mask are provided. The node offers various controls for aspect ratio, resolution, generation speed, and optional character reference images.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the image generation or editing (default: empty) | STRING | Yes | - |
| `image` | Optional reference image for image editing | IMAGE | No | - |
| `mask` | Optional mask for inpainting (white areas will be replaced) | MASK | No | - |
@@ -28,10 +30,10 @@ The Ideogram V3 node generates images using the Ideogram V3 model. It supports b
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated or edited image(s) | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/IdeogramV3/en.md)
---
-**Source fingerprint (SHA-256):** `b3ddd489ee96b4b378ae432254d8e97bccafc20e38055b213c0ad3b7818cb4c0`
+**Source fingerprint (SHA-256):** `d5005a9cdbdad79762dfd24eaa73e6c293d28b72813e96883ecdfccb8339ca75`
diff --git a/comfyui_embedded_docs/docs/KlingAvatarNode/en.md b/comfyui_embedded_docs/docs/KlingAvatarNode/en.md
index 9db8efb54..b56fa14e5 100644
--- a/comfyui_embedded_docs/docs/KlingAvatarNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingAvatarNode/en.md
@@ -1,3 +1,5 @@
+# Kling Avatar 2.0
+
The Kling Avatar 2.0 node generates broadcast-style digital human videos from a single reference photo and an audio file. It creates a talking avatar video with an optional text prompt to define the avatar's actions, emotions, and camera movements.
## Inputs
@@ -21,4 +23,4 @@ The Kling Avatar 2.0 node generates broadcast-style digital human videos from a
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingAvatarNode/en.md)
---
-**Source fingerprint (SHA-256):** `d9264e250c578dcb38612c192f8567a8f48c6624e030d8765b13bb71aae2d0b8`
+**Source fingerprint (SHA-256):** `34f64d168d6c407d9ab474e2637513c172090a0f0c219675d32f8e70ff84f2ae`
diff --git a/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md b/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md
index ce6698804..8bb8ac000 100644
--- a/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md
@@ -1,9 +1,11 @@
+# Kling Image to Video (Camera Control) Node
+
The Kling Image to Video Camera Control Node transforms still images into cinematic videos with professional camera movements. This specialized image-to-video node allows you to control virtual camera actions including zoom, rotation, pan, tilt, and first-person view while maintaining focus on your original image. Camera control is currently only supported in pro mode with the kling-v1-5 model at 5-second duration.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `start_frame` | Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300x300px, aspect ratio between 1:2.5 and 2.5:1. Base64 should not include data:image prefix. | IMAGE | Yes | - |
| `prompt` | Positive text prompt describing the desired video content. Maximum length is 500 characters. | STRING | Yes | - |
| `negative_prompt` | Negative text prompt describing what to avoid in the generated video. Maximum length is 500 characters. | STRING | Yes | - |
@@ -14,7 +16,7 @@ The Kling Image to Video Camera Control Node transforms still images into cinema
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video output | VIDEO |
| `video_id` | Unique identifier for the generated video | STRING |
| `duration` | Duration of the generated video | STRING |
@@ -22,4 +24,4 @@ The Kling Image to Video Camera Control Node transforms still images into cinema
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlI2VNode/en.md)
---
-**Source fingerprint (SHA-256):** `c7c0ef732a97d60b03c6942a9f026a23982ea5d86746520772cc6bf2f450865c`
+**Source fingerprint (SHA-256):** `65b1e4a46c2de1558c8f27ebe031f1736e84d532908170c91fb70121c350347e`
diff --git a/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md b/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md
index 5aed3c491..26df5de8d 100644
--- a/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md
@@ -1,9 +1,11 @@
+# Kling Text to Video (Camera Control)
+
Kling Text to Video Camera Control Node transforms text into cinematic videos with professional camera movements that simulate real-world cinematography. This node supports controlling virtual camera actions including zoom, rotation, pan, tilt, and first-person view while maintaining focus on your original text. The duration, mode, and model name are hard-coded because camera control is only supported in pro mode with the kling-v1-5 model at 5-second duration.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Positive text prompt | STRING | Yes | - |
| `negative_prompt` | Negative text prompt | STRING | Yes | - |
| `cfg_scale` | Controls how closely the output follows the prompt (default: 0.75) | FLOAT | No | 0.0-1.0 |
@@ -13,7 +15,7 @@ Kling Text to Video Camera Control Node transforms text into cinematic videos wi
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video with camera control effects | VIDEO |
| `video_id` | The unique identifier for the generated video | STRING |
| `duration` | The duration of the generated video | STRING |
@@ -21,4 +23,4 @@ Kling Text to Video Camera Control Node transforms text into cinematic videos wi
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControlT2VNode/en.md)
---
-**Source fingerprint (SHA-256):** `c2e6ea8f136d3bb82d6627b3362a8a4dfb9cb0414f6d846e5283e49a0ba6d357`
+**Source fingerprint (SHA-256):** `7975d97c4f9242a9ae3c17be03696d174a2495bd53fb9fc4405f86c44167fa21`
diff --git a/comfyui_embedded_docs/docs/KlingCameraControls/en.md b/comfyui_embedded_docs/docs/KlingCameraControls/en.md
index ff146dae3..1290e99f3 100644
--- a/comfyui_embedded_docs/docs/KlingCameraControls/en.md
+++ b/comfyui_embedded_docs/docs/KlingCameraControls/en.md
@@ -1,9 +1,11 @@
+# Kling Camera Controls
+
The Kling Camera Controls node allows you to configure various camera movement and rotation parameters for creating motion control effects in video generation. It provides controls for camera positioning, rotation, and zoom to simulate different camera movements.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `camera_control_type` | Specifies the type of camera control configuration to use | COMBO | Yes | `"simple"`
`"advanced"` |
| `horizontal_movement` | Controls camera's movement along horizontal axis (x-axis). Negative indicates left, positive indicates right (default: 0.0) | FLOAT | No | -10.0 to 10.0 |
| `vertical_movement` | Controls camera's movement along vertical axis (y-axis). Negative indicates downward, positive indicates upward (default: 0.0) | FLOAT | No | -10.0 to 10.0 |
@@ -17,10 +19,10 @@ The Kling Camera Controls node allows you to configure various camera movement a
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `camera_control` | Returns the configured camera control settings for use in video generation | CAMERA_CONTROL |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingCameraControls/en.md)
---
-**Source fingerprint (SHA-256):** `35bc9a47bb58f847e73b87156d099e821bd791546f6126dc78e47c5494a7851c`
+**Source fingerprint (SHA-256):** `dbba1083b662bb2563c77dec857e4f3123e4e53d58a1d51f2646288af28ebba0`
diff --git a/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md b/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md
index c0e0367f0..e0c235879 100644
--- a/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md
@@ -1,9 +1,11 @@
+# Kling Dual Character Video Effect Node
+
The Kling Dual Character Video Effect Node creates videos with special effects based on the selected scene. It takes two images and positions the first image on the left side and the second image on the right side of the composite video. Different visual effects are applied depending on the chosen effect scene.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image_left` | Left side image | IMAGE | Yes | - |
| `image_right` | Right side image | IMAGE | Yes | - |
| `effect_scene` | The type of special effect scene to apply to the video generation | COMBO | Yes | `"chat"`
`"dance"`
`"hug"`
`"kill"`
`"kiss"`
`"pat"`
`"punch"`
`"shrug"`
`"slap"`
`"tickle"` |
@@ -14,11 +16,11 @@ The Kling Dual Character Video Effect Node creates videos with special effects b
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video with dual character effects | VIDEO |
| `duration` | The duration information of the generated video | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingDualCharacterVideoEffectNode/en.md)
---
-**Source fingerprint (SHA-256):** `995616159d0b61a5398ec93e847b04fed8133a28a37f597427f0335ca17920b9`
+**Source fingerprint (SHA-256):** `314fc23940225eb4559ecc74f333bb23e9a4939bbb884c93341f4d6f6e7b64df`
diff --git a/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md
index f679acdfe..ed5803a16 100644
--- a/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md
@@ -1,9 +1,11 @@
+# KlingFirstLastFrameNode
+
This node uses the Kling 3.0 model to generate a video. It creates the video based on a text prompt, a specified duration, and two provided images: a starting frame and an ending frame. The node can also generate accompanying audio for the video.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | The text description that guides the video generation. Must be between 1 and 2500 characters long. | STRING | Yes | N/A |
| `duration` | The length of the video in seconds (default: 5). | INT | No | 3 to 15 |
| `first_frame` | The starting image for the video. Must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | IMAGE | Yes | N/A |
@@ -18,10 +20,10 @@ This node uses the Kling 3.0 model to generate a video. It creates the video bas
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingFirstLastFrameNode/en.md)
---
-**Source fingerprint (SHA-256):** `def99b6a37962b5a28be1025ce41ae50bf7b90246c50894fcf3419365f807b2f`
+**Source fingerprint (SHA-256):** `b71119c3267e2a74d2180e5182463c78828e892bfcf1eeb7c33a0f4d7019997f`
diff --git a/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md b/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md
index a13542f17..340610a44 100644
--- a/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md
@@ -1,9 +1,11 @@
+# Kling Image to Video Node
+
The Kling Image to Video Node generates a video from a starting reference image using text prompts. It takes an image as the first frame and creates a video sequence based on positive and negative text descriptions, with configurable options for model, duration, aspect ratio, and generation mode.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `start_frame` | The reference image used to generate the video. The image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | IMAGE | Yes | - |
| `prompt` | Positive text prompt. Maximum 500 characters. | STRING | Yes | - |
| `negative_prompt` | Negative text prompt. Maximum 500 characters. | STRING | Yes | - |
@@ -16,7 +18,7 @@ The Kling Image to Video Node generates a video from a starting reference image
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video output. | VIDEO |
| `video_id` | Unique identifier for the generated video. | STRING |
| `duration` | Duration information for the generated video. | STRING |
@@ -24,4 +26,4 @@ The Kling Image to Video Node generates a video from a starting reference image
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImage2VideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `2845117c840372d457c58bfb8da077ccac32a9398e5679120104d8ee597d4855`
+**Source fingerprint (SHA-256):** `e5731be52e00b6e80a6323417f927d0d6ba5e8147aa149f7ec9dd902d77bc70d`
diff --git a/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md b/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md
index 0f6fd39e9..17a6a0fda 100644
--- a/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md
@@ -1,11 +1,13 @@
+# Kling 3.0 Image Generation Node
+
Kling Image Generation Node generates images from text prompts with the option to use a reference image for guidance. It creates one or more images based on your text description and reference settings, then returns the generated images as output.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `prompt` | Positive text prompt | STRING | Yes | - |
-| `negative_prompt` | Negative text prompt | STRING | Yes | - |
+|-----------|-------------|-----------|----------|-------|
+| `prompt` | Positive text prompt | STRING | Yes | Maximum 500 characters |
+| `negative_prompt` | Negative text prompt | STRING | Yes | Maximum 500 characters |
| `image_type` | Image reference type selection (advanced). Required when a reference image is provided. | COMBO | Yes | `"subject_reference"`
`"style_reference"` |
| `image_fidelity` | Reference intensity for user-uploaded images (default: 0.5, advanced) | FLOAT | Yes | 0.0 - 1.0 |
| `human_fidelity` | Subject reference similarity (default: 0.45, advanced) | FLOAT | Yes | 0.0 - 1.0 |
@@ -25,10 +27,10 @@ Kling Image Generation Node generates images from text prompts with the option t
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | Generated image(s) based on the input parameters | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageGenerationNode/en.md)
---
-**Source fingerprint (SHA-256):** `3c029920c966ac9a3588a790e83e1350021a0864a02677258a25af46a0770dce`
+**Source fingerprint (SHA-256):** `65bd6ea842877a9af9a7b554fe020418291d06ae6cc35e86127ab524aadd48c1`
diff --git a/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md b/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md
index 8992b1d8a..38cc81f0f 100644
--- a/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md
+++ b/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md
@@ -1,9 +1,11 @@
+# Kling Image(First Frame) to Video with Audio
+
The Kling Image(First Frame) to Video with Audio node uses the Kling AI model to generate a short video from a single starting image and a text prompt. It creates a video sequence that begins with the provided image and can optionally include AI-generated audio to accompany the visuals.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_name` | The specific version of the Kling AI model to use for video generation. | COMBO | Yes | `"kling-v2-6"` |
| `start_frame` | The image that will serve as the first frame of the generated video. The image must be at least 300x300 pixels and have an aspect ratio between 1:2.5 and 2.5:1. | IMAGE | Yes | - |
| `prompt` | Positive text prompt. This describes the video content you want to generate. The prompt must be between 1 and 2500 characters long. | STRING | Yes | - |
@@ -14,10 +16,10 @@ The Kling Image(First Frame) to Video with Audio node uses the Kling AI model to
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The generated video file, which may include audio depending on the `generate_audio` input. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingImageToVideoWithAudio/en.md)
---
-**Source fingerprint (SHA-256):** `c994748fdfa6d79f81aaf864ec174a6b608c4f05943a7e23edd345608122d9a1`
+**Source fingerprint (SHA-256):** `e0b834a297f7afd72cfb779a92557f0dc680eacd4d0e18bab0e7c59ae8624965`
diff --git a/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md
index 6315fb4ee..127755cc7 100644
--- a/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md
@@ -1,9 +1,11 @@
+# Kling Lip Sync Audio to Video Node
+
Kling Lip Sync Audio to Video Node synchronizes mouth movements in a video file to match the audio content of an audio file. This node analyzes the vocal patterns in the audio and adjusts the facial movements in the video to create realistic lip-syncing. The process requires both a video containing a distinct face and an audio file with clearly distinguishable vocals.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `video` | The video file containing a face to be lip-synced | VIDEO | Yes | - |
| `audio` | The audio file containing vocals to sync with the video | AUDIO | Yes | - |
| `voice_language` | The language of the voice in the audio file (default: "en") | COMBO | Yes | `"en"`
`"zh"`
`"es"`
`"fr"`
`"de"`
`"it"`
`"pt"`
`"pl"`
`"tr"`
`"ru"`
`"nl"`
`"cs"`
`"ar"`
`"ja"`
`"hu"`
`"ko"` |
@@ -20,7 +22,7 @@ Kling Lip Sync Audio to Video Node synchronizes mouth movements in a video file
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The processed video with lip-synced mouth movements | VIDEO |
| `video_id` | The unique identifier for the processed video | STRING |
| `duration` | The duration of the processed video | STRING |
@@ -28,4 +30,4 @@ Kling Lip Sync Audio to Video Node synchronizes mouth movements in a video file
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncAudioToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `bc6dcc5a1e3b873edc0c65cc156bb622992866920a4975a308d8cdb8a3c0e71a`
+**Source fingerprint (SHA-256):** `2f88af3191ac4f9c5c9fa1aaa5b744a12620b66e55a1fe0ab16b8b3b61110128`
diff --git a/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md
index 381734b07..465bb93b1 100644
--- a/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md
@@ -1,9 +1,11 @@
+# Kling Lip Sync Text to Video Node
+
Kling Lip Sync Text to Video Node synchronizes mouth movements in a video file to match a text prompt. It takes an input video and generates a new video where the character's lip movements are aligned with the provided text. The node uses voice synthesis to create natural-looking speech synchronization.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `video` | Input video file for lip synchronization. Video must be between 720px and 1920px in height/width, between 2s and 10s in duration, and no larger than 100MB. | VIDEO | Yes | - |
| `text` | Text Content for Lip-Sync Video Generation. Required when mode is text2video. Maximum length is 120 characters. | STRING | Yes | - |
| `voice` | Voice selection for the lip-sync audio (default: "Melody"). Includes both English and Chinese voice options. | COMBO | No | "Melody"
"Sunny"
"Sage"
"Ace"
"Blossom"
"Peppy"
"Dove"
"Shine"
"Anchor"
"Lyric"
"Tender"
"Siren"
"Zippy"
"Bud"
"Sprite"
"Candy"
"Beacon"
"Rock"
"Titan"
"Grace"
"Helen"
"Lore"
"Crag"
"Prattle"
"Hearth"
"The Reader"
"Commercial Lady"
"阳光少年"
"懂事小弟"
"运动少年"
"青春少女"
"温柔小妹"
"元气少女"
"阳光男生"
"幽默小哥"
"文艺小哥"
"甜美邻家"
"温柔姐姐"
"职场女青"
"活泼男童"
"俏皮女童"
"稳重老爸"
"温柔妈妈"
"严肃上司"
"优雅贵妇"
"慈祥爷爷"
"唠叨爷爷"
"唠叨奶奶"
"和蔼奶奶"
"东北老铁"
"重庆小伙"
"四川妹子"
"潮汕大叔"
"台湾男生"
"西安掌柜"
"天津姐姐"
"新闻播报男"
"译制片男"
"撒娇女友"
"刀片烟嗓"
"乖巧正太" |
@@ -18,7 +20,7 @@ Kling Lip Sync Text to Video Node synchronizes mouth movements in a video file t
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | Generated video with lip-synchronized audio | VIDEO |
| `video_id` | Unique identifier for the generated video | STRING |
| `duration` | Duration information for the generated video | STRING |
@@ -26,4 +28,4 @@ Kling Lip Sync Text to Video Node synchronizes mouth movements in a video file t
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingLipSyncTextToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `fb6d208be684f8fc38f692c0439bcfebafc8c448932bc54fa4730da87113f376`
+**Source fingerprint (SHA-256):** `28a7be92d7e8a57efeb7e2913124e4373dfc75fbdba6ff7036fafb3a8ae43a60`
diff --git a/comfyui_embedded_docs/docs/KlingMotionControl/en.md b/comfyui_embedded_docs/docs/KlingMotionControl/en.md
index e20d4f1b0..ae1816a2a 100644
--- a/comfyui_embedded_docs/docs/KlingMotionControl/en.md
+++ b/comfyui_embedded_docs/docs/KlingMotionControl/en.md
@@ -1,12 +1,14 @@
+# Kling Motion Control
+
The Kling Motion Control node generates a video by applying the motion, expressions, and camera movements from a reference video to a character defined by a reference image and a text prompt. It allows you to control whether the character's final orientation comes from the reference video or the reference image.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | A text description of the desired video. Maximum length is 2500 characters. | STRING | Yes | N/A |
| `reference_image` | An image of the character to animate. Minimum dimensions are 340x340 pixels. The aspect ratio must be between 1:2.5 and 2.5:1. | IMAGE | Yes | N/A |
-| `reference_video` | A motion reference video used to drive the character's movement and expression. Minimum dimensions are 340x340 pixels, maximum dimensions are 3850x3850 pixels. Duration limits depend on the `character_orientation` setting. | VIDEO | Yes | N/A |
+| `reference_video` | Motion reference video used to drive movement/expression. Duration limits depend on `character_orientation` setting. Minimum dimensions are 340x340 pixels, maximum dimensions are 3850x3850 pixels. | VIDEO | Yes | N/A |
| `keep_original_sound` | Determines if the original audio from the reference video is kept in the output. Default is `True`. | BOOLEAN | No | N/A |
| `character_orientation` | Controls where the character's facing/orientation comes from. `"video"`: movements, expressions, camera moves, and orientation follow the motion reference video (other details via prompt). `"image"`: movements and expressions still follow the motion reference video, but the character orientation matches the reference image (camera/other details via prompt). | COMBO | No | `"video"`
`"image"` |
| `mode` | The generation mode to use. | COMBO | No | `"pro"`
`"std"` |
@@ -14,16 +16,16 @@ The Kling Motion Control node generates a video by applying the motion, expressi
**Constraints:**
-* The `reference_video` duration must be between 3 and 30 seconds when `character_orientation` is set to `"video"`.
-* The `reference_video` duration must be between 3 and 10 seconds when `character_orientation` is set to `"image"`.
+- The `reference_video` duration must be between 3 and 30 seconds when `character_orientation` is set to `"video"`.
+- The `reference_video` duration must be between 3 and 10 seconds when `character_orientation` is set to `"image"`.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video with the character performing the motion from the reference video. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingMotionControl/en.md)
---
-**Source fingerprint (SHA-256):** `3e350ca448a927367edfc90c5abb572be7ffa589c9e8e8734066af280233bd60`
+**Source fingerprint (SHA-256):** `a61e55fabe53f4e13fa993c3d891db40024709ea4fb6b16b5716d893b2bd23b5`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md
index 307fc73f2..f8cbc8ed7 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md
@@ -1,9 +1,11 @@
+# Kling 3.0 Omni Edit Video Node
+
The Kling Omni Edit Video (Pro) node uses an AI model to edit an existing video based on a text description. You provide a source video and a prompt, and the node generates a new video of the same length with the requested changes. It can optionally use reference images to guide the style and keep the original audio from the source video.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_name` | The AI model to use for video editing (default: `"kling-v3-omni"`). | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` |
| `prompt` | A text prompt describing the video content. This can include both positive and negative descriptions. | STRING | Yes | |
| `video` | Video for editing. The output video length will be the same. | VIDEO | Yes | |
@@ -24,10 +26,10 @@ The Kling Omni Edit Video (Pro) node uses an AI model to edit an existing video
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The edited video generated by the AI model. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProEditVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `770f1944738c06523a537a1add85340ea9264771f62e463f4985ca6bcacddf78`
+**Source fingerprint (SHA-256):** `4aa7779a30183c80f025e15ae693ba23021013c68d247753e7e9a4c3a64762da`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md
index ccded0f3d..6009565ff 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md
@@ -1,9 +1,11 @@
+# Kling 3.0 Omni First-Last-Frame to Video
+
This node uses the latest Kling AI model to generate a video from a start frame, an optional end frame, or reference images. It can create a single video or a multi-shot storyboard with individual prompts and durations for each segment. The node processes these inputs to produce a video of a specified length and resolution, with optional audio generation.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_name` | The specific Kling AI model to use for video generation. | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` |
| `prompt` | A text prompt describing the video content. This can include both positive and negative descriptions. Ignored when storyboards are enabled. | STRING | Yes | - |
| `duration` | The desired length of the generated video in seconds (default: 5). | INT | Yes | 3 to 15 |
@@ -31,10 +33,10 @@ This node uses the latest Kling AI model to generate a video from a start frame,
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProFirstLastFrameNode/en.md)
---
-**Source fingerprint (SHA-256):** `caa8c321124c70cb9cbeedee13cdde4c37c7e107c04265b4baf2dd8864a1fc65`
+**Source fingerprint (SHA-256):** `2b26914ba29c3d877a981e41acb44d15dfacc604d86d7cc232ebfa7fda0ae3b8`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md
index 29c2ecb8b..0b9135c6e 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md
@@ -1,9 +1,11 @@
+# Kling 3.0 Omni Image
+
The Kling Omni Image (Pro) node creates or edits images using the latest Kling AI model. It generates images based on a text description and can optionally use reference images to guide the style or content. The node sends a request to an external API, which processes the task and returns the final image(s).
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_name` | The specific Kling AI model to use for image generation. | COMBO | Yes | `"kling-v3-omni"`
`"kling-image-o1"` |
| `prompt` | A text prompt describing the image content. This can include both positive and negative descriptions. The text must be between 1 and 2500 characters long. You can use `@image`, `@image1`, `@image2`, etc. or `@video`, `@video1`, `@video2`, etc. to reference uploaded images or videos in the prompt. | STRING | Yes | - |
| `resolution` | The target resolution for the generated image. Note: 4K resolution is not supported for the `kling-image-o1` model. | COMBO | Yes | `"1K"`
`"2K"`
`"4K"` |
@@ -15,10 +17,10 @@ The Kling Omni Image (Pro) node creates or edits images using the latest Kling A
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The final image(s) generated or edited by the Kling AI model. If a series was requested, multiple images are returned as a batch. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `b1d25806bc3b8eaa5ee8677a32b1f1f45189b800a2bfe1664635eaa851c34032`
+**Source fingerprint (SHA-256):** `923db96e956e0f11c9290478ceb105304893f28d35af9f0e13077ca0f88dff79`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md
index 2f196a10a..bf741c0f7 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md
@@ -1,9 +1,11 @@
+# Kling 3.0 Omni Image to Video Node
+
This node uses the Kling AI model to generate a video based on a text prompt and up to seven reference images. It allows you to control the video's aspect ratio, duration, resolution, and optionally use storyboards or generate audio. The node sends the request to an external API and returns the generated video.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_name` | The specific Kling model to use for video generation (default: "kling-v3-omni"). | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` |
| `prompt` | A text prompt describing the video content. This can include both positive and negative descriptions. The text is automatically normalized and must be between 1 and 2500 characters. Ignored when storyboards are enabled. | STRING | Yes | - |
| `aspect_ratio` | The desired aspect ratio for the generated video. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` |
@@ -25,10 +27,10 @@ This node uses the Kling AI model to generate a video based on a text prompt and
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProImageToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `e1fe0433a604fbc071fdd426121a1f4ff10bb0aa6d3eb2d702306b7206dae4c0`
+**Source fingerprint (SHA-256):** `ccf7881065d2a365cdaa0e164b8b1d46c67985067866ab0fe91d492a62015f07`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md
index f55cea605..74a84e027 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md
@@ -1,9 +1,11 @@
+# Kling 3.0 Omni Text to Video
+
This node uses the latest Kling AI model to generate a video from a text description. It sends your prompt to a remote API and returns the generated video. The node allows you to control the video's length, shape, quality, and even create multi-shot storyboards.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_name` | The specific Kling model to use for video generation (default: `"kling-v3-omni"`). | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` |
| `prompt` | A text prompt describing the video content. This can include both positive and negative descriptions. Ignored when storyboards are enabled. | STRING | Yes | 0 to 2500 characters |
| `aspect_ratio` | The shape or dimensions of the video to generate. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` |
@@ -31,10 +33,10 @@ This node uses the latest Kling AI model to generate a video from a text descrip
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The video generated based on the provided text prompt and settings. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProTextToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `8789c78184356c8ca1d84e046a2c8db644b6e47822d909d95e9d7417f2311109`
+**Source fingerprint (SHA-256):** `d2fbbe7c6aae283eb3fa7f73d788b809098a9a4dd6e8ada54697d43fd5bf10f2`
diff --git a/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md
index 59d931437..d05300a47 100644
--- a/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md
@@ -1,9 +1,11 @@
+# Kling 3.0 Omni Video to Video
+
This node uses the Kling AI model to generate a new video based on an input video and optional reference images. You provide a text prompt describing the desired content, and the node transforms the reference video accordingly. It can also incorporate up to four additional reference images to guide the style and content of the output.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_name` | The specific Kling model to use for video generation (default: "kling-v3-omni"). | COMBO | Yes | `"kling-v3-omni"`
`"kling-video-o1"` |
| `prompt` | A text prompt describing the video content. This can include both positive and negative descriptions. | STRING | Yes | N/A |
| `aspect_ratio` | The desired aspect ratio for the generated video. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` |
@@ -24,10 +26,10 @@ This node uses the Kling AI model to generate a new video based on an input vide
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The newly generated video. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingOmniProVideoToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `aa99b865ca96ec5c2d5535d3392e8dc94dd5e56ebf624f8fdff09302767ab300`
+**Source fingerprint (SHA-256):** `3dc2e3d153ddd9e6da705b764c51b4a859d66464b893fdebb0689d2ad5e870c7`
diff --git a/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md b/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md
index e4d693ebc..17cd66800 100644
--- a/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md
@@ -1,9 +1,11 @@
+# Kling Single Image Video Effect Node
+
The Kling Single Image Video Effect Node creates videos with different special effects based on a single reference image. It applies various visual effects and scenes to transform static images into dynamic video content. The node supports different effect scenes, model options, and video durations to achieve the desired visual outcome.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | Reference Image. URL or Base64 encoded string (without data:image prefix). File size cannot exceed 10MB, resolution not less than 300x300px, aspect ratio between 1:2.5 to 2.5:1 | IMAGE | Yes | - |
| `effect_scene` | The type of special effect scene to apply to the video generation. Some effects may have different pricing. | COMBO | Yes | `"dizzydizzy"`
`"bloombloom"`
`"neon"`
`"cartoon"`
`"sketch"`
`"oil"`
`"watercolor"`
`"3d"` |
| `model_name` | The specific model version to use for generating the video effect. | COMBO | Yes | `"kling-v1-5"`
`"kling-v1-6"` |
@@ -14,7 +16,7 @@ The Kling Single Image Video Effect Node creates videos with different special e
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video with applied effects | VIDEO |
| `video_id` | The unique identifier for the generated video | STRING |
| `duration` | The duration of the generated video | STRING |
@@ -22,4 +24,4 @@ The Kling Single Image Video Effect Node creates videos with different special e
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingSingleImageVideoEffectNode/en.md)
---
-**Source fingerprint (SHA-256):** `7e9d1e2830f16361587d3d1f082fb2536d36ca9d933aa9e2ced32eeb65a161ea`
+**Source fingerprint (SHA-256):** `fb4a8b044daa99154a58d6926ff746bd2397b71ea32f1fafc851589f163ab51a`
diff --git a/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md b/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md
index e268b8eee..bf94a46c0 100644
--- a/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md
@@ -1,9 +1,11 @@
-Kling Start-End Frame to Video node creates a video sequence that transitions between your provided start and end images. It generates all the frames in between to produce a smooth transformation from the first frame to the last frame. This node calls the image-to-video API but only supports the input options that work with the `image_tail` request field.
+# Kling Start-End Frame to Video
+
+This node creates a video sequence that transitions between your provided start and end images. It generates all the frames in between to produce a smooth transformation from the first frame to the last frame. This node calls the image-to-video API but only supports the input options that work with the `image_tail` request field.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `start_frame` | Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1. Base64 should not include data:image prefix. | IMAGE | Yes | - |
| `end_frame` | Reference Image - End frame control. URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px. Base64 should not include data:image prefix. | IMAGE | Yes | - |
| `prompt` | Positive text prompt | STRING | Yes | - |
@@ -22,7 +24,7 @@ Kling Start-End Frame to Video node creates a video sequence that transitions be
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video sequence | VIDEO |
| `video_id` | Unique identifier for the generated video | STRING |
| `duration` | Duration of the generated video | STRING |
@@ -30,4 +32,4 @@ Kling Start-End Frame to Video node creates a video sequence that transitions be
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingStartEndFrameNode/en.md)
---
-**Source fingerprint (SHA-256):** `e0bf25103e72ea3f56651adf64c0712f32c055f2b870448dcbbe82b546be8f37`
+**Source fingerprint (SHA-256):** `7e3a6a4b04b7ad01708a0664a6bed9d817103206074ef41a747ef8193a8ce348`
diff --git a/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md b/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md
index 289dfa679..ac1873b3b 100644
--- a/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md
@@ -1,9 +1,11 @@
+# Kling Text to Video Node
+
The Kling Text to Video Node converts text descriptions into video content. It takes text prompts and generates corresponding video sequences based on the specified configuration settings. The node supports different aspect ratios, generation modes, and model versions to produce videos of varying durations and quality.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Positive text prompt describing the desired video content | STRING | Yes | Maximum 2500 characters |
| `negative_prompt` | Negative text prompt describing what to avoid in the video | STRING | Yes | Maximum 2500 characters |
| `cfg_scale` | Configuration scale value that controls how closely the video follows the prompt (default: 1.0) | FLOAT | No | 0.0 to 1.0 |
@@ -13,7 +15,7 @@ The Kling Text to Video Node converts text descriptions into video content. It t
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video output | VIDEO |
| `video_id` | Unique identifier for the generated video | STRING |
| `duration` | Duration information for the generated video | STRING |
@@ -21,4 +23,4 @@ The Kling Text to Video Node converts text descriptions into video content. It t
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `2ec33023f023e8e6fbef04df4f6038a95b88205dbb9d170e88a964cf1ef03a27`
+**Source fingerprint (SHA-256):** `02860325301936682a8e4e49f2a3d7c18d4915edbf61f58ded513564c5e85f7a`
diff --git a/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md b/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md
index e01f06207..b11071c78 100644
--- a/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md
+++ b/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md
@@ -1,23 +1,25 @@
+# Kling Text to Video with Audio
+
The Kling Text to Video with Audio node generates a short video from a text description. It sends a request to the Kling AI service, which processes the prompt and returns a video file. The node can also generate accompanying audio for the video based on the text.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_name` | The specific AI model to use for video generation. | COMBO | Yes | `"kling-v2-6"` |
| `prompt` | Positive text prompt. The description used to generate the video. Must be between 1 and 2500 characters. | STRING | Yes | - |
| `mode` | The operational mode for the video generation. | COMBO | Yes | `"pro"` |
| `aspect_ratio` | The desired width-to-height ratio for the generated video. | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` |
| `duration` | The length of the video in seconds. | COMBO | Yes | `5`
`10` |
-| `generate_audio` | Controls whether audio is generated for the video. When enabled, the AI will create sound based on the prompt. (default: `True`) | BOOLEAN | No | - |
+| `generate_audio` | Controls whether audio is generated for the video. When enabled, the AI will create sound based on the prompt (default: `True`). | BOOLEAN | No | - |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingTextToVideoWithAudio/en.md)
---
-**Source fingerprint (SHA-256):** `60c76cc66b02552cfbf63dda35e8422349c0b6989ca07631d2d8321bb5686cca`
+**Source fingerprint (SHA-256):** `ddd2f3c1799abac067a05f3f5d6442ad4fe023d2f4f9afbde2894ca66854977e`
diff --git a/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md b/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md
index 5440d9511..3b62c50f3 100644
--- a/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md
@@ -1,9 +1,11 @@
+# Kling Video Extend Node
+
The Kling Video Extend Node allows you to extend videos created by other Kling nodes. It takes an existing video identified by its video ID and generates additional content based on your text prompts. The node works by sending your extension request to the Kling API and returning the extended video along with its new ID and duration.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Positive text prompt for guiding the video extension | STRING | No | - |
| `negative_prompt` | Negative text prompt for elements to avoid in the extended video | STRING | No | - |
| `cfg_scale` | Controls the strength of prompt guidance (default: 0.5) | FLOAT | No | 0.0 - 1.0 |
@@ -14,7 +16,7 @@ The Kling Video Extend Node allows you to extend videos created by other Kling n
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The extended video generated by the Kling API | VIDEO |
| `video_id` | The unique identifier for the extended video | STRING |
| `duration` | The duration of the extended video | STRING |
@@ -22,4 +24,4 @@ The Kling Video Extend Node allows you to extend videos created by other Kling n
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoExtendNode/en.md)
---
-**Source fingerprint (SHA-256):** `31f9d394845412d92b9e9ad7e032acea9c686fe54e32b53dac3848ab54ff9287`
+**Source fingerprint (SHA-256):** `56674dee721a1784138852f5fd1cce137acf0b5e09bd9ee17353dde6fb251b5e`
diff --git a/comfyui_embedded_docs/docs/KlingVideoNode/en.md b/comfyui_embedded_docs/docs/KlingVideoNode/en.md
index f9097bc34..5d354274b 100644
--- a/comfyui_embedded_docs/docs/KlingVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingVideoNode/en.md
@@ -1,24 +1,26 @@
-This node generates videos using the Kling V3 model. It supports two primary modes: text-to-video, where a video is created from a text description, and image-to-video, where an existing image is animated. It also offers advanced features like creating multi-segment videos with different prompts for each part (storyboards) and optionally generating accompanying audio.
+# Kling 3.0 Video Node
+
+This node generates videos using the Kling V3 model. It supports text-to-video mode, where a video is created from a text description, and image-to-video mode, where an existing image is animated. It also offers advanced features like creating multi-segment videos with individual prompts for each part (storyboards) and optionally generating accompanying audio.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `multi_shot` | Controls whether to generate a single video or a series of segments with individual prompts and durations. When not "disabled," additional inputs for each storyboard's prompt and duration appear. | COMBO | Yes | `"disabled"`
`"1 storyboard"`
`"2 storyboards"`
`"3 storyboards"`
`"4 storyboards"`
`"5 storyboards"`
`"6 storyboards"` |
-| `generate_audio` | When enabled, the node will generate audio for the video. Default is `True`. | BOOLEAN | Yes | `True` / `False` |
+| `generate_audio` | When enabled, the node will generate audio for the video. Default is True. | BOOLEAN | Yes | True / False |
| `model` | The model and its associated settings. Selecting this option reveals the `resolution` and `aspect_ratio` sub-parameters. | COMBO | Yes | `"kling-v3"` |
-| `model.resolution` | The resolution for the generated video. This setting is available when the `model` is set to "kling-v3". | COMBO | Yes | `"4k"`
`"1080p"`
`"720p"` |
-| `model.aspect_ratio` | The aspect ratio for the generated video. This setting is ignored when an image is provided for `start_frame` (image-to-video mode). Available when the `model` is set to "kling-v3". | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` |
-| `seed` | A seed value for generation. Changing this value will cause the node to re-run, but the results are non-deterministic. Default is `0`. | INT | Yes | 0 to 2147483647 |
-| `start_frame` | An optional starting image. When connected, the node switches from text-to-video to image-to-video mode, animating the provided image. | IMAGE | No | - |
+| `model.resolution` | The resolution for the generated video. | COMBO | Yes | `"4k"`
`"1080p"`
`"720p"` |
+| `model.aspect_ratio` | The aspect ratio for the generated video. This setting is ignored when an image is provided for `start_frame` (image-to-video mode). | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` |
+| `seed` | A seed value for generation. Changing this value will cause the node to re-run, but results are non-deterministic regardless of seed. Default is 0. | INT | Yes | 0 to 2147483647 |
+| `start_frame` | Optional start frame image. When connected, switches to image-to-video mode. | IMAGE | No | - |
**Inputs for `multi_shot` mode:**
* When `multi_shot` is set to **"disabled"**, the following inputs appear:
- * `prompt` (STRING): The main text description for the video. Required. Must be between 1 and 2500 characters.
- * `negative_prompt` (STRING): Text describing what should not appear in the video. Optional.
- * `duration` (INT): The length of the video in seconds. Must be between 3 and 15. Default is `5`.
-* When `multi_shot` is set to a storyboard option (e.g., `"3 storyboards"`), inputs for each storyboard segment appear (e.g., `storyboard_1_prompt`, `storyboard_1_duration`). Each prompt must be between 1 and 512 characters. The **total sum of all storyboard durations** must be between 3 and 15 seconds.
+ * `prompt` (STRING): The main text description for the video. Must be between 1 and 2500 characters.
+ * `negative_prompt` (STRING): Text describing what should not appear in the video.
+ * `duration` (INT): The length of the video in seconds. Must be between 3 and 15. Default is 5.
+* When `multi_shot` is set to a storyboard option (e.g., `"3 storyboards"`), inputs for each storyboard segment appear (e.g., `storyboard_1_prompt`, `storyboard_1_duration`). Each storyboard prompt must be between 1 and 512 characters. The **total sum of all storyboard durations** must be between 3 and 15 seconds.
**Constraints:**
@@ -29,10 +31,10 @@ This node generates videos using the Kling V3 model. It supports two primary mod
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `c329fa5a8609ccd2caec96fc23afae9ba79bdf835faa05450d4e20a7380087f5`
+**Source fingerprint (SHA-256):** `62a336f957836693fbcfbc097fe909e3efbceaf77102c960e00dc890ba9b5757`
diff --git a/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md b/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md
index 12e6c4b20..146a147e4 100644
--- a/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md
+++ b/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md
@@ -1,9 +1,11 @@
+# Kling Virtual Try On Node
+
Kling Virtual Try On Node. Input a human image and a cloth image to try on the cloth on the human. You can merge multiple clothing item pictures into one image with a white background.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `human_image` | The human image to try clothes on | IMAGE | Yes | - |
| `cloth_image` | The clothing image to try on the human | IMAGE | Yes | - |
| `model_name` | The virtual try-on model to use (default: "kolors-virtual-try-on-v1") | STRING | Yes | `"kolors-virtual-try-on-v1"` |
@@ -11,10 +13,10 @@ Kling Virtual Try On Node. Input a human image and a cloth image to try on the c
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The resulting image showing the human with the clothing item tried on | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/KlingVirtualTryOnNode/en.md)
---
-**Source fingerprint (SHA-256):** `b642ea6583e971f47a580212030f564e24b055caf77dc99764b79ee21e2988f9`
+**Source fingerprint (SHA-256):** `bf256d8732f4c6acf65838812fc322e48ef886257bbb48c02b0cc6ab5d78dce5`
diff --git a/comfyui_embedded_docs/docs/Krea2ImageNode/en.md b/comfyui_embedded_docs/docs/Krea2ImageNode/en.md
index b1040a3b9..4ad3613a9 100644
--- a/comfyui_embedded_docs/docs/Krea2ImageNode/en.md
+++ b/comfyui_embedded_docs/docs/Krea2ImageNode/en.md
@@ -1,11 +1,11 @@
## Overview
-The Krea 2 Image node generates images using the Krea 2 AI model. It supports two model variants: Medium for expressive illustrations and Large for expressive photorealism. You can optionally include a moodboard and up to 10 image style references to influence the generated image.
+The Krea 2 Image node generates images using the Krea 2 AI model. It supports two model variants: Medium for expressive illustrations and Large for expressive photorealism, with an additional Medium Turbo option for faster generation. You can optionally include a moodboard and up to 10 image style references to influence the generated image.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text prompt for the image. | STRING | Yes | N/A |
| `model` | Krea 2 Medium is best for expressive illustrations; Krea 2 Large is best for expressive photorealism. | DICT | Yes | See below |
| `seed` | Random seed for reproducibility (default: 0). | INT | Yes | 0 to 2147483647 |
@@ -13,8 +13,8 @@ The Krea 2 Image node generates images using the Krea 2 AI model. It supports tw
The `model` parameter is a dictionary with the following sub-parameters:
| Sub-Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `model` | Selects the Krea 2 model variant. | STRING | Yes | `"krea 2 medium"`
`"krea 2 large"` |
+|---------------|-------------|-----------|----------|-------|
+| `model` | Selects the Krea 2 model variant. | STRING | Yes | `"krea 2 medium turbo"`
`"krea 2 medium"`
`"krea 2 large"` |
| `aspect_ratio` | The aspect ratio for the generated image. | STRING | Yes | N/A |
| `resolution` | The resolution for the generated image. | STRING | Yes | N/A |
| `creativity` | Controls the creativity level of the generation. | FLOAT | Yes | N/A |
@@ -30,10 +30,10 @@ The `model` parameter is a dictionary with the following sub-parameters:
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The generated image as a tensor. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2ImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `6aeb2d935ef5df5699a19271c9ceb766892ef4b0e4f67bfa540bf12ffadf362d`
+**Source fingerprint (SHA-256):** `645b404fe2c7653662803f1630125bdef912429c95d7b3a1268b0e0d7f533277`
diff --git a/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/en.md b/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/en.md
index 69f064e6d..120c6f5bb 100644
--- a/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/en.md
+++ b/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/en.md
@@ -1,11 +1,11 @@
-## Overview
+# Krea 2 Style Reference Node
The Krea 2 Style Reference node lets you add a reference image to influence the style of a Krea 2 image generation. You can chain multiple style references together (up to 10 total) and feed the combined result into a Krea 2 Image node. Each image you provide is uploaded to ComfyAPI storage and passed as a URL.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | Reference image whose style influences the generation. | IMAGE | Yes | - |
| `strength` | Reference strength; negative values invert the style influence (default: 1.0). | FLOAT | Yes | -2.0 to 2.0 (step: 0.05) |
| `style_reference` | Optional incoming chain of style references; this node appends one more. | STYLE_REF | No | - |
@@ -15,10 +15,10 @@ The Krea 2 Style Reference node lets you add a reference image to influence the
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `style_reference` | A list of style reference entries, each containing a URL and strength value. Feed this output into a Krea 2 Image node. | STYLE_REF |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Krea2StyleReferenceNode/en.md)
---
-**Source fingerprint (SHA-256):** `7f87568a1cd5038571f3188cfb1d71e15533ea19eee01d7826fe574a1a4dc88d`
+**Source fingerprint (SHA-256):** `a7e52408245b6a3caaca558c8d4d07d090686f32f5d5c7df77ab07311c9c1c6e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/ar.md b/comfyui_embedded_docs/docs/LoadDA3Model/ar.md
new file mode 100644
index 000000000..294ef9680
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/ar.md
@@ -0,0 +1,21 @@
+# تحميل Depth Anything 3
+
+تقوم هذه العقدة بتحميل نموذج Depth Anything 3 من ملف، لتهيئته للاستخدام في مهام تقدير العمق. تتيح لك تحديد ملف النموذج، واختيارياً تحديد الدقة الرقمية (نوع البيانات) لأوزان النموذج.
+
+## المدخلات
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|---------------|--------|--------|
+| `model_name` | اسم ملف نموذج Depth Anything 3 المراد تحميله. | STRING | نعم | قائمة ملفات النماذج المتاحة في مجلد `geometry_estimation` |
+| `weight_dtype` | الدقة الرقمية (نوع البيانات) لأوزان النموذج. يستخدم خيار "الافتراضي" الدقة الأصلية للنموذج. (الافتراضي: "default") | STRING | لا | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## المخرجات
+
+| اسم المخرج | الوصف | نوع البيانات |
+|------------|-------|---------------|
+| `DA3_MODEL` | نموذج Depth Anything 3 المحمّل، الجاهز للاستخدام في سير عمل تقدير العمق. | DA3_MODEL |
+
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/ar.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/en.md b/comfyui_embedded_docs/docs/LoadDA3Model/en.md
new file mode 100644
index 000000000..1896a34ed
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/en.md
@@ -0,0 +1,21 @@
+# Load Depth Anything 3
+
+This node loads a Depth Anything 3 model from a file, preparing it for use in depth estimation tasks. It allows you to select the model file and optionally specify the numerical precision (data type) for the model's weights.
+
+## Inputs
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `model_name` | The name of the Depth Anything 3 model file to load. | STRING | Yes | List of available model files in the `geometry_estimation` folder |
+| `weight_dtype` | The numerical precision (data type) for the model's weights. The "default" option uses the model's original precision. (default: "default") | STRING | No | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## Outputs
+
+| Output Name | Description | Data Type |
+|-------------|-------------|-----------|
+| `DA3_MODEL` | The loaded Depth Anything 3 model, ready for use in depth estimation workflows. | DA3_MODEL |
+
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/en.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/es.md b/comfyui_embedded_docs/docs/LoadDA3Model/es.md
new file mode 100644
index 000000000..873181b25
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/es.md
@@ -0,0 +1,21 @@
+# Cargar Depth Anything 3
+
+Este nodo carga un modelo Depth Anything 3 desde un archivo, preparándolo para su uso en tareas de estimación de profundidad. Permite seleccionar el archivo del modelo y, opcionalmente, especificar la precisión numérica (tipo de dato) para los pesos del modelo.
+
+## Entradas
+
+| Parámetro | Descripción | Tipo de Dato | Requerido | Rango |
+|-----------|-------------|--------------|-----------|-------|
+| `model_name` | El nombre del archivo del modelo Depth Anything 3 a cargar. | STRING | Sí | Lista de archivos de modelo disponibles en la carpeta `geometry_estimation` |
+| `weight_dtype` | La precisión numérica (tipo de dato) para los pesos del modelo. La opción "default" utiliza la precisión original del modelo. (predeterminado: "default") | STRING | No | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## Salidas
+
+| Nombre de Salida | Descripción | Tipo de Dato |
+|------------------|-------------|--------------|
+| `DA3_MODEL` | El modelo Depth Anything 3 cargado, listo para usar en flujos de trabajo de estimación de profundidad. | DA3_MODEL |
+
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/es.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/fa.md b/comfyui_embedded_docs/docs/LoadDA3Model/fa.md
new file mode 100644
index 000000000..c9d0299fd
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/fa.md
@@ -0,0 +1,21 @@
+# بارگذاری Depth Anything 3
+
+این گره یک مدل Depth Anything 3 را از فایل بارگذاری کرده و آن را برای استفاده در وظایف تخمین عمق آماده میکند. به شما امکان میدهد فایل مدل را انتخاب کرده و بهصورت اختیاری دقت عددی (نوع داده) را برای وزنهای مدل مشخص کنید.
+
+## ورودیها
+
+| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
+|---------|---------|----------|--------|--------|
+| `model_name` | نام فایل مدل Depth Anything 3 برای بارگذاری. | STRING | بله | لیست فایلهای مدل موجود در پوشه `geometry_estimation` |
+| `weight_dtype` | دقت عددی (نوع داده) برای وزنهای مدل. گزینه "default" از دقت اصلی مدل استفاده میکند. (پیشفرض: "default") | STRING | خیر | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## خروجیها
+
+| نام خروجی | توضیحات | نوع داده |
+|-----------|---------|----------|
+| `DA3_MODEL` | مدل Depth Anything 3 بارگذاریشده، آماده برای استفاده در گردشهای کاری تخمین عمق. | DA3_MODEL |
+
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/fa.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/fr.md b/comfyui_embedded_docs/docs/LoadDA3Model/fr.md
new file mode 100644
index 000000000..5cb5bf8f9
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/fr.md
@@ -0,0 +1,21 @@
+# Charger Depth Anything 3
+
+Ce nœud charge un modèle Depth Anything 3 à partir d'un fichier, en le préparant pour une utilisation dans des tâches d'estimation de profondeur. Il vous permet de sélectionner le fichier du modèle et, éventuellement, de spécifier la précision numérique (type de données) pour les poids du modèle.
+
+## Entrées
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `model_name` | Le nom du fichier du modèle Depth Anything 3 à charger. | STRING | Oui | Liste des fichiers de modèle disponibles dans le dossier `geometry_estimation` |
+| `weight_dtype` | La précision numérique (type de données) pour les poids du modèle. L'option "default" utilise la précision d'origine du modèle. (par défaut : "default") | STRING | Non | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## Sorties
+
+| Nom de sortie | Description | Type de données |
+|---------------|-------------|-----------------|
+| `DA3_MODEL` | Le modèle Depth Anything 3 chargé, prêt à être utilisé dans des workflows d'estimation de profondeur. | DA3_MODEL |
+
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/fr.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/ja.md b/comfyui_embedded_docs/docs/LoadDA3Model/ja.md
new file mode 100644
index 000000000..88963515a
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/ja.md
@@ -0,0 +1,21 @@
+# Load Depth Anything 3
+
+このノードは、Depth Anything 3 モデルをファイルから読み込み、深度推定タスクで使用できるように準備します。モデルファイルを選択し、必要に応じてモデルの重みの数値精度（データ型）を指定できます。
+
+## 入力
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `model_name` | 読み込む Depth Anything 3 モデルファイルの名前です。 | STRING | はい | `geometry_estimation` フォルダ内の利用可能なモデルファイルのリスト |
+| `weight_dtype` | モデルの重みの数値精度（データ型）です。"default" オプションはモデルの元の精度を使用します。（デフォルト: "default"） | STRING | いいえ | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## 出力
+
+| 出力名 | 説明 | データ型 |
+|-------------|-------------|-----------|
+| `DA3_MODEL` | 読み込まれた Depth Anything 3 モデルです。深度推定ワークフローで使用する準備が整っています。 | DA3_MODEL |
+
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/ja.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/ko.md b/comfyui_embedded_docs/docs/LoadDA3Model/ko.md
new file mode 100644
index 000000000..54b72084c
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/ko.md
@@ -0,0 +1,21 @@
+# Load Depth Anything 3
+
+이 노드는 파일에서 Depth Anything 3 모델을 로드하여 깊이 추정 작업에 사용할 수 있도록 준비합니다. 모델 파일을 선택하고, 선택적으로 모델 가중치의 숫자 정밀도(데이터 타입)를 지정할 수 있습니다.
+
+## 입력
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `model_name` | 로드할 Depth Anything 3 모델 파일의 이름입니다. | STRING | 예 | `geometry_estimation` 폴더에 있는 사용 가능한 모델 파일 목록 |
+| `weight_dtype` | 모델 가중치의 숫자 정밀도(데이터 타입)입니다. "default" 옵션은 모델의 원래 정밀도를 사용합니다. (기본값: "default") | STRING | 아니요 | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## 출력
+
+| 출력 이름 | 설명 | 데이터 타입 |
+|-------------|-------------|-----------|
+| `DA3_MODEL` | 깊이 추정 워크플로우에서 사용할 준비가 된 로드된 Depth Anything 3 모델입니다. | DA3_MODEL |
+
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/ko.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/pt-BR.md b/comfyui_embedded_docs/docs/LoadDA3Model/pt-BR.md
new file mode 100644
index 000000000..1f442c123
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/pt-BR.md
@@ -0,0 +1,21 @@
+# Carregar Depth Anything 3
+
+Este nó carrega um modelo Depth Anything 3 a partir de um arquivo, preparando-o para uso em tarefas de estimativa de profundidade. Ele permite selecionar o arquivo do modelo e, opcionalmente, especificar a precisão numérica (tipo de dado) para os pesos do modelo.
+
+## Entradas
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-----------|--------------|-------------|-------|
+| `model_name` | O nome do arquivo do modelo Depth Anything 3 a ser carregado. | STRING | Sim | Lista de arquivos de modelo disponíveis na pasta `geometry_estimation` |
+| `weight_dtype` | A precisão numérica (tipo de dado) para os pesos do modelo. A opção "default" usa a precisão original do modelo. (padrão: "default") | STRING | Não | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## Saídas
+
+| Nome da Saída | Descrição | Tipo de Dado |
+|---------------|-----------|--------------|
+| `DA3_MODEL` | O modelo Depth Anything 3 carregado, pronto para uso em fluxos de trabalho de estimativa de profundidade. | DA3_MODEL |
+
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/pt-BR.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/ru.md b/comfyui_embedded_docs/docs/LoadDA3Model/ru.md
new file mode 100644
index 000000000..713113c33
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/ru.md
@@ -0,0 +1,21 @@
+# Загрузка Depth Anything 3
+
+Этот узел загружает модель Depth Anything 3 из файла, подготавливая её к использованию в задачах оценки глубины. Он позволяет выбрать файл модели и, при необходимости, указать числовую точность (тип данных) для весов модели.
+
+## Входные параметры
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|-----------|-------------|-----------|----------|-------|
+| `model_name` | Имя загружаемого файла модели Depth Anything 3. | STRING | Да | Список доступных файлов моделей в папке `geometry_estimation` |
+| `weight_dtype` | Числовая точность (тип данных) для весов модели. Опция "default" использует исходную точность модели. (по умолчанию: "default") | STRING | Нет | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## Выходные параметры
+
+| Имя выхода | Описание | Тип данных |
+|-------------|-------------|-----------|
+| `DA3_MODEL` | Загруженная модель Depth Anything 3, готовая к использованию в рабочих процессах оценки глубины. | DA3_MODEL |
+
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/ru.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/tr.md b/comfyui_embedded_docs/docs/LoadDA3Model/tr.md
new file mode 100644
index 000000000..e57e4b1a8
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/tr.md
@@ -0,0 +1,21 @@
+# Depth Anything 3'ü Yükle
+
+Bu düğüm, bir dosyadan Depth Anything 3 modelini yükleyerek derinlik tahmini görevlerinde kullanıma hazır hale getirir. Model dosyasını seçmenize ve isteğe bağlı olarak model ağırlıkları için sayısal hassasiyeti (veri türü) belirlemenize olanak tanır.
+
+## Girdiler
+
+| Parametre | Açıklama | Veri Türü | Zorunlu | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `model_name` | Yüklenecek Depth Anything 3 model dosyasının adı. | STRING | Evet | `geometry_estimation` klasöründeki mevcut model dosyalarının listesi |
+| `weight_dtype` | Model ağırlıkları için sayısal hassasiyet (veri türü). "default" seçeneği modelin orijinal hassasiyetini kullanır. (varsayılan: "default") | STRING | Hayır | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## Çıktılar
+
+| Çıktı Adı | Açıklama | Veri Türü |
+|-----------|----------|-----------|
+| `DA3_MODEL` | Derinlik tahmini iş akışlarında kullanıma hazır, yüklenmiş Depth Anything 3 modeli. | DA3_MODEL |
+
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/tr.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/zh-TW.md b/comfyui_embedded_docs/docs/LoadDA3Model/zh-TW.md
new file mode 100644
index 000000000..8777f7586
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/zh-TW.md
@@ -0,0 +1,21 @@
+# 載入 Depth Anything 3
+
+此節點從檔案載入 Depth Anything 3 模型，準備用於深度估計任務。它允許您選擇模型檔案，並可選擇指定模型權重的數值精度（資料類型）。
+
+## ## 輸入
+
+| 參數 | 說明 | 資料類型 | 必要 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `model_name` | 要載入的 Depth Anything 3 模型檔案名稱。 | STRING | 是 | `geometry_estimation` 資料夾中可用的模型檔案列表 |
+| `weight_dtype` | 模型權重的數值精度（資料類型）。"default" 選項使用模型的原始精度。（預設值："default"） | STRING | 否 | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## ## 輸出
+
+| 輸出名稱 | 說明 | 資料類型 |
+|-------------|-------------|-----------|
+| `DA3_MODEL` | 已載入的 Depth Anything 3 模型，可用於深度估計工作流程。 | DA3_MODEL |
+
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/zh-TW.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LoadDA3Model/zh.md b/comfyui_embedded_docs/docs/LoadDA3Model/zh.md
new file mode 100644
index 000000000..2ed28bc62
--- /dev/null
+++ b/comfyui_embedded_docs/docs/LoadDA3Model/zh.md
@@ -0,0 +1,21 @@
+# Load Depth Anything 3
+
+此节点从文件加载 Depth Anything 3 模型，为深度估计任务做好准备。它允许您选择模型文件，并可选择指定模型权重的数值精度（数据类型）。
+
+## ## 输入
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `model_name` | 要加载的 Depth Anything 3 模型文件名。 | STRING | 是 | `geometry_estimation` 文件夹中可用的模型文件列表 |
+| `weight_dtype` | 模型权重的数值精度（数据类型）。"default" 选项使用模型的原始精度。（默认值："default"） | STRING | 否 | `"default"`
`"fp16"`
`"bf16"`
`"fp32"` |
+
+## ## 输出
+
+| 输出名称 | 描述 | 数据类型 |
+|-------------|-------------|-----------|
+| `DA3_MODEL` | 加载后的 Depth Anything 3 模型，可用于深度估计工作流程。 | DA3_MODEL |
+
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LoadDA3Model/zh.md)
+
+---
+**Source fingerprint (SHA-256):** `b1b3f4075cd9172bc1f274848b9300bca20d3cbd53b23d3c4a9f0986b36e409e`
diff --git a/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md b/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md
index 0cbd8e1ec..0447b0e0a 100644
--- a/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md
+++ b/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md
@@ -1,3 +1,5 @@
+# LTXV Image To Video
+
The LTXV Image To Video node generates a professional-quality video from a single starting image. It uses an external API to create a video sequence based on your text prompt, allowing you to customize the duration, resolution, and frame rate.
## Inputs
@@ -27,4 +29,4 @@ The LTXV Image To Video node generates a professional-quality video from a singl
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiImageToVideo/en.md)
---
-**Source fingerprint (SHA-256):** `a4c6109ba8f70b0e80cf1888f940190c7a3e3994867e37f00669ae12742a94f8`
+**Source fingerprint (SHA-256):** `5c62025059cc0c583de3e0ae8721b8f8adb6929bb03cbcec5875bbc1fdaf20c3`
diff --git a/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md b/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md
index 9e90a59a3..9f6224367 100644
--- a/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md
+++ b/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md
@@ -1,3 +1,5 @@
+# LTXV Text To Video
+
The LTXV Text To Video node generates professional-quality videos from a text description. It connects to an external API to create videos with customizable duration, resolution, and frame rate. You can also choose to have AI-generated audio added to the video.
## Inputs
@@ -25,4 +27,4 @@ The LTXV Text To Video node generates professional-quality videos from a text de
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LtxvApiTextToVideo/en.md)
---
-**Source fingerprint (SHA-256):** `8da5616f195dc4dea7d46d56b71dead6fb7a5dfa74bb7d8909bf6bd792540feb`
+**Source fingerprint (SHA-256):** `11e358bdf9ff9b799b428768c10504f450d81d12f81b2ec0749f9d2d88e82f91`
diff --git a/comfyui_embedded_docs/docs/LumaConceptsNode/en.md b/comfyui_embedded_docs/docs/LumaConceptsNode/en.md
index 9f745427d..1ebe72b77 100644
--- a/comfyui_embedded_docs/docs/LumaConceptsNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaConceptsNode/en.md
@@ -1,9 +1,11 @@
+# Luma Concepts Node
+
Holds one or more Camera Concepts for use with Luma Text to Video and Luma Image to Video nodes. This node allows you to select up to four camera concepts and optionally combine them with existing concept chains.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `concept1` | First camera concept selection from available Luma concepts | STRING | Yes | Multiple options available
Includes "None" option |
| `concept2` | Second camera concept selection from available Luma concepts | STRING | Yes | Multiple options available
Includes "None" option |
| `concept3` | Third camera concept selection from available Luma concepts | STRING | Yes | Multiple options available
Includes "None" option |
@@ -15,10 +17,10 @@ Holds one or more Camera Concepts for use with Luma Text to Video and Luma Image
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `luma_concepts` | Combined camera concept chain containing all selected concepts | LUMA_CONCEPTS |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaConceptsNode/en.md)
---
-**Source fingerprint (SHA-256):** `37e292aee8316e165e0069b1080479fed049d5bf754de90ef830f6400ca7e5c8`
+**Source fingerprint (SHA-256):** `e684f7d9d2975d4168701e4f6a79dc6b22854d62b58ce016477a05c66dd6e058`
diff --git a/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md b/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md
index b0d492f03..045adbe44 100644
--- a/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md
+++ b/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md
@@ -1,13 +1,13 @@
-## Overview
+# Luma UNI-1 Image Edit Node
This node edits an existing image using a text prompt, powered by the Luma UNI-1 model. It takes a source image and a description of the desired change, then generates a new edited version of the image.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `source` | Source image to edit. | IMAGE | Yes | - |
-| `prompt` | Description of the desired edit. Default: "" (empty string). | STRING | Yes | 1–6000 characters |
+| `prompt` | Description of the desired edit. 1–6000 characters. Default: "" (empty string). | STRING | Yes | 1 to 6000 characters |
| `model` | Model to use for editing. | MODEL | Yes | `"uni-1"`
`"uni-1-max"` |
| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. Default: 0. | INT | Yes | 0 to 2147483647 |
@@ -18,10 +18,10 @@ This node edits an existing image using a text prompt, powered by the Luma UNI-1
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The edited image generated by the Luma UNI-1 model. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageEditNode2/en.md)
---
-**Source fingerprint (SHA-256):** `7d658d8e11b54dbad38d8d679553d55299313dacbdcc76d91079c5f92275d07e`
+**Source fingerprint (SHA-256):** `4febbf1688f9b0ce2128265ddcc2e8a80c996821c41488e86594a6216993bccd`
diff --git a/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md b/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md
index 0e613a091..24fe908e3 100644
--- a/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md
@@ -1,9 +1,11 @@
+# Luma Image to Image
+
Modifies images synchronously based on a text prompt and the original image's aspect ratio. This node takes an input image and transforms it according to the provided prompt, using a configurable image weight to control how much the original image is altered.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to be modified | IMAGE | Yes | - |
| `prompt` | Prompt for the image generation (default: "") | STRING | Yes | - |
| `image_weight` | Weight of the image; the closer to 1.0, the less the image will be modified (default: 0.1). Internally, this value is inverted (1.0 - image_weight) and clamped between 0.0 and 0.98. | FLOAT | No | 0.0-0.98 |
@@ -13,10 +15,10 @@ Modifies images synchronously based on a text prompt and the original image's as
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The modified image generated by the Luma model | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageModifyNode/en.md)
---
-**Source fingerprint (SHA-256):** `9798382092f179fe55972568687285bd728981ca59f1b0a5e4e2ca4bd9b7c981`
+**Source fingerprint (SHA-256):** `56b13600f6fb8cd6ff80bc8c8184db059273c2ef648630ff1ef10a7ed6b04b7c`
diff --git a/comfyui_embedded_docs/docs/LumaImageNode/en.md b/comfyui_embedded_docs/docs/LumaImageNode/en.md
index f5e62e957..b854502ef 100644
--- a/comfyui_embedded_docs/docs/LumaImageNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaImageNode/en.md
@@ -1,9 +1,11 @@
+# Luma Text to Image
+
Generates images synchronously based on a text prompt and aspect ratio. This node creates images using text descriptions and allows you to control the image dimensions and style through various reference inputs, including character and style images.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the image generation (default: empty string). Must be at least 3 characters long. | STRING | Yes | - |
| `model` | Model selection for image generation. Different models have different costs. | COMBO | Yes | `photon-flash-1`
`photon-1`
`photon` |
| `aspect_ratio` | Aspect ratio for the generated image (default: `16:9`) | COMBO | Yes | `16:9`
`1:1`
`4:3`
`3:2`
`21:9`
`9:16`
`3:4`
`2:3`
`9:21` |
@@ -24,10 +26,10 @@ Generates images synchronously based on a text prompt and aspect ratio. This nod
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated image based on the input parameters. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `353d99868c8c09edfab212e49f127585a6cbe1a24d6ee8fe584169adcded2961`
+**Source fingerprint (SHA-256):** `cde0fc1ace28523d658b757d7f829b0d20071bed391964d2d8caa81801265b46`
diff --git a/comfyui_embedded_docs/docs/LumaImageNode2/en.md b/comfyui_embedded_docs/docs/LumaImageNode2/en.md
index 413239abd..7c43b2f58 100644
--- a/comfyui_embedded_docs/docs/LumaImageNode2/en.md
+++ b/comfyui_embedded_docs/docs/LumaImageNode2/en.md
@@ -6,7 +6,7 @@ This node generates images from text descriptions using the Luma UNI-1 model. It
| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
-| `prompt` | Text description of the desired image. | STRING | Yes | 1–6000 characters |
+| `prompt` | Text description of the desired image. 1–6000 characters. | STRING | Yes | 1 to 6000 characters |
| `model` | Model to use for generation. Selecting a model reveals additional settings for that model. | COMBO | Yes | `"uni-1"`
`"uni-1-max"` |
| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | Yes | 0 to 2147483647 |
@@ -32,4 +32,4 @@ When `"uni-1"` or `"uni-1-max"` is selected for the `model` parameter, the follo
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageNode2/en.md)
---
-**Source fingerprint (SHA-256):** `cd680f8b9e6bcf5fa415aa2d9ec3126bf8873d14bd6f4cd127491cfa242e5548`
+**Source fingerprint (SHA-256):** `8157d2e4717e196056bd6821526ccb49df3f0fdf48e36c87a18742c3f5fe63bf`
diff --git a/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md b/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md
index 941f6d0cf..4a4f3169a 100644
--- a/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md
@@ -1,12 +1,14 @@
+# Luma Image to Video
+
Generates videos synchronously based on a text prompt and optional starting/ending images. This node uses the Luma API to create videos, allowing you to define the video's content through a prompt and optionally specify the first and/or last frame to control the video's structure.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the video generation (default: "") | STRING | Yes | - |
| `model` | Selects the video generation model from available Luma models | COMBO | Yes | `"ray-1-6"`
`"ray-2"` |
-| `resolution` | Output resolution for the generated video (default: "540p"). This parameter is ignored when using the `ray-1-6` model. | COMBO | Yes | `"540p"`
`"720p"
`"1080p"`
`"4k"` |
+| `resolution` | Output resolution for the generated video (default: "540p"). This parameter is ignored when using the `ray-1-6` model. | COMBO | Yes | `"540p"`
`"720p"`
`"1080p"`
`"4k"` |
| `duration` | Duration of the generated video. This parameter is ignored when using the `ray-1-6` model. | COMBO | Yes | `"5s"`
`"9s"` |
| `loop` | Whether the generated video should loop (default: False) | BOOLEAN | Yes | - |
| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. (default: 0) | INT | Yes | 0 to 18446744073709551615 |
@@ -19,10 +21,10 @@ Generates videos synchronously based on a text prompt and optional starting/endi
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaImageToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `0ef0e33f4822b522909a9732b333710197cd6e28ed6012c791f4268f8e995a84`
+**Source fingerprint (SHA-256):** `2eea8934bcce20b093b88c52e430d21077705d57ab259bf620a94e46eac65e6e`
diff --git a/comfyui_embedded_docs/docs/LumaReferenceNode/en.md b/comfyui_embedded_docs/docs/LumaReferenceNode/en.md
index 89c7a4f4f..6aeac1af8 100644
--- a/comfyui_embedded_docs/docs/LumaReferenceNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaReferenceNode/en.md
@@ -1,9 +1,11 @@
+# Luma Reference Node
+
This node holds an image and weight value for use with the Luma Generate Image node. It creates a reference chain that can be passed to other Luma nodes to influence image generation. The node can either start a new reference chain or add to an existing one.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | Image to use as reference. | IMAGE | Yes | - |
| `weight` | Weight of image reference (default: 1.0). | FLOAT | Yes | 0.0 - 1.0 |
| `luma_ref` | Optional existing Luma reference chain to add to. | LUMA_REF | No | - |
@@ -11,10 +13,10 @@ This node holds an image and weight value for use with the Luma Generate Image n
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `luma_ref` | The Luma reference chain containing the image and weight. | LUMA_REF |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaReferenceNode/en.md)
---
-**Source fingerprint (SHA-256):** `1cca0ddc397a72c03bb7d6d24135c09795934f566b23368298a89b90a14dc8cc`
+**Source fingerprint (SHA-256):** `f7e7789f2f19cac41cb9e55d21f10fef3012b10dcdbd59eb79f97fe5c2a944b7`
diff --git a/comfyui_embedded_docs/docs/LumaVideoNode/en.md b/comfyui_embedded_docs/docs/LumaVideoNode/en.md
index 5dc6a5bd5..88ab8f084 100644
--- a/comfyui_embedded_docs/docs/LumaVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/LumaVideoNode/en.md
@@ -1,9 +1,11 @@
+# Luma Text to Video
+
Generates videos synchronously based on a text prompt and output settings. This node creates video content using text descriptions and various generation parameters, producing the final video output once the generation process is complete.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the video generation (default: empty string). Must be at least 3 characters long. | STRING | Yes | - |
| `model` | The video generation model to use. | COMBO | Yes | `"ray_1_6"`
`"ray_2"` |
| `aspect_ratio` | The aspect ratio for the generated video (default: "16:9"). | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"`
`"4:3"`
`"3:4"`
`"21:9"`
`"9:21"` |
@@ -18,10 +20,10 @@ Generates videos synchronously based on a text prompt and output settings. This
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LumaVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `3e7fb20aebee034e2055d87e7c1c24a995aece152b0271de48c81ce82cf2911a`
+**Source fingerprint (SHA-256):** `3ce9db0780dbe7a752a6b1c35a02b9511f532e81a28d5d83b2bf3be9e35e2e6b`
diff --git a/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md b/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md
index e26011337..a86fb7cfa 100644
--- a/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md
+++ b/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md
@@ -1,3 +1,5 @@
+# Magnific Image Relight
+
The Magnific Image Relight node adjusts the lighting of an input image. It can apply stylistic lighting based on a text prompt or transfer the lighting characteristics from an optional reference image. The node offers various controls for fine-tuning the brightness, contrast, and overall mood of the final output.
## Inputs
@@ -35,4 +37,4 @@ The Magnific Image Relight node adjusts the lighting of an input image. It can a
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageRelightNode/en.md)
---
-**Source fingerprint (SHA-256):** `52d6a2c2ab8b03397ed78222c4da936f96f816cde01e2c9cccc3d4915042330f`
+**Source fingerprint (SHA-256):** `45fe68b21e1da7c367800915c803ad4cf1c5b80e9a2e91d80cae51b8a9531144`
diff --git a/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md b/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md
index a56ed6f8c..63406dcfd 100644
--- a/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md
+++ b/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md
@@ -1,9 +1,11 @@
+# Magnific Image Skin Enhancer Node
+
The Magnific Image Skin Enhancer node applies specialized AI processing to portrait images to improve skin appearance. It offers three distinct modes for different enhancement goals: creative for artistic effects, faithful for preserving the original look, and flexible for targeted improvements like lighting or realism. The node uploads the image to an external API for processing and returns the enhanced result.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The portrait image to enhance. | IMAGE | Yes | - |
| `sharpen` | Sharpening intensity level (default: 0). | INT | No | 0 to 100 |
| `smart_grain` | Smart grain intensity level (default: 2). | INT | No | 0 to 100 |
@@ -22,10 +24,10 @@ The Magnific Image Skin Enhancer node applies specialized AI processing to portr
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The enhanced portrait image. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageSkinEnhancerNode/en.md)
---
-**Source fingerprint (SHA-256):** `1c87ba8a71ccac4fd17c35ad5bf2ee9b27c8bcb45a9d76cd077d6c0614f1ecc1`
+**Source fingerprint (SHA-256):** `2430cc0fb1d2042a8eda78f7f5a5794fa6b4e555d3957616ae6891374b556a76`
diff --git a/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md b/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md
index 839e2f455..8e188a220 100644
--- a/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md
+++ b/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md
@@ -1,9 +1,11 @@
+# ComfyUI Node Documentation: Magnific Image Style Transfer
+
This node applies the visual style from a reference image to your input image. It uses an external AI service to process the images, allowing you to control the strength of the style transfer and the preservation of the original image's structure.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The image to apply style transfer to. | IMAGE | Yes | - |
| `reference_image` | The reference image to extract style from. | IMAGE | Yes | - |
| `prompt` | An optional text prompt to guide the style transfer. | STRING | No | - |
@@ -26,10 +28,10 @@ This node applies the visual style from a reference image to your input image. I
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The resulting image after style transfer has been applied. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageStyleTransferNode/en.md)
---
-**Source fingerprint (SHA-256):** `2a008de2ad1345360c8313da90721c1118b1d7447647a0a9a4676ff71461e142`
+**Source fingerprint (SHA-256):** `edffec024ebe7cbf7c42008e14c1b99d6fafcf5b9da62b0b560d194a585dc9ad`
diff --git a/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md b/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md
index 8cbd6b165..7d09f2003 100644
--- a/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md
+++ b/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md
@@ -1,9 +1,11 @@
+# Magnific Image Upscale (Creative)
+
This node uses the Magnific AI service to upscale and creatively enhance an image. It allows you to guide the enhancement with a text prompt, choose a specific style to optimize for, and control various aspects of the creative process like detail, resemblance to the original, and stylization strength. The node outputs an upscaled image at your chosen factor (2x, 4x, 8x, or 16x), with a maximum output size of 25.3 megapixels.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to be upscaled and enhanced. | IMAGE | Yes | - |
| `prompt` | A text description to guide the creative enhancement of the image. This is optional (default: empty). | STRING | No | - |
| `scale_factor` | The factor by which to upscale the image's dimensions. | COMBO | Yes | `"2x"`
`"4x"`
`"8x"`
`"16x"` |
@@ -25,10 +27,10 @@ This node uses the Magnific AI service to upscale and creatively enhance an imag
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The creatively enhanced and upscaled output image. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerCreativeNode/en.md)
---
-**Source fingerprint (SHA-256):** `3eb5ce7887ba67a3a49d06820851df90d1c1c73f28ded62288054154bcb2d7e8`
+**Source fingerprint (SHA-256):** `88362dd9630f0f9420bd7caf3f82ace73d5d2b979bd71939298b84ceff288dc8`
diff --git a/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md b/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md
index d2ff8efca..009431126 100644
--- a/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md
+++ b/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md
@@ -1,26 +1,28 @@
+# Magnific Image Upscale (Precise V2)
+
The Magnific Image Upscale (Precise V2) node performs high-fidelity image upscaling with precise control over sharpness, grain, and detail enhancement. It processes images through an external API, supporting up to a maximum output resolution of 10060×10060 pixels. The node offers different processing styles and can automatically downscale the input if the requested output would exceed the maximum allowed size.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to be upscaled. Exactly one image is required. Minimum dimensions are 160x160 pixels. The aspect ratio must be between 1:3 and 3:1. | IMAGE | Yes | - |
| `scale_factor` | The desired upscaling multiplier. | STRING | Yes | `"2x"`
`"4x"`
`"8x"`
`"16x"` |
-| `flavor` | The processing style. "sublime" is for general use, "photo" is optimized for photographs, and "photo_denoiser" is for noisy photos. | STRING | Yes | `"sublime"`
`"photo"`
`"photo_denoiser"` |
-| `sharpen` | Controls the intensity of image sharpening to increase edge definition and clarity. Higher values produce a sharper result. Default: 7. | INT | No | 0 to 100 |
-| `smart_grain` | Adds intelligent grain or texture enhancement to prevent the upscaled image from looking too smooth or artificial. Default: 7. | INT | No | 0 to 100 |
-| `ultra_detail` | Controls the amount of fine detail, textures, and micro-details added during the upscaling process. Default: 30. | INT | No | 0 to 100 |
-| `auto_downscale` | When enabled, the node will automatically downscale the input image if the calculated output dimensions would exceed the maximum allowed resolution of 10060x10060 pixels. This helps prevent errors but may affect quality. Default: False. | BOOLEAN | No | - |
+| `flavor` | Processing style: sublime for general use, photo for photographs, photo_denoiser for noisy photos. | STRING | Yes | `"sublime"`
`"photo"`
`"photo_denoiser"` |
+| `sharpen` | Image sharpness intensity. Higher values increase edge definition and clarity. Default: 7. | INT | No | 0 to 100 |
+| `smart_grain` | Intelligent grain/texture enhancement to prevent the image from looking too smooth or artificial. Default: 7. | INT | No | 0 to 100 |
+| `ultra_detail` | Controls fine detail, textures, and micro-details added during upscaling. Default: 30. | INT | No | 0 to 100 |
+| `auto_downscale` | Automatically downscale input image if output would exceed maximum resolution. Default: False. | BOOLEAN | No | - |
-**Note:** If `auto_downscale` is disabled and the requested output size (input dimensions × `scale_factor`) exceeds 10060x10060 pixels, the node will raise an error.
+**Note:** If `auto_downscale` is disabled and the requested output size (input dimensions × `scale_factor`) exceeds 10060x10060 pixels, the node will raise an error. When `auto_downscale` is enabled, the node will attempt to find an optimal scale factor that keeps quality loss minimal.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The resulting upscaled image. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MagnificImageUpscalerPreciseV2Node/en.md)
---
-**Source fingerprint (SHA-256):** `83559e99f86398b894c659996bdde48633a49f857a4769127fdf7ab6e80d6b0d`
+**Source fingerprint (SHA-256):** `b4de8780c46d113fd043930daa6d4b91df3dca493afef486a0ecf2ee9e0ae708`
diff --git a/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md b/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md
index 632c0310b..71b4eaf97 100644
--- a/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md
@@ -1,16 +1,18 @@
+# ComfyUI Node Documentation: Meshy: Animate Model
+
This node applies a specific animation to a 3D character model that has already been rigged using the Meshy service. It takes a task ID from a previous rigging operation and an action ID to select the desired animation from the library. The node then processes the request and returns the animated model in both GLB and FBX file formats.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `rig_task_id` | The unique task ID from a previously completed Meshy character rigging operation. | STRING | Yes | N/A |
| `action_id` | The ID number of the animation action to apply. Visit https://docs.meshy.ai/en/api/animation-library for a list of available values. (default: 0) | INT | Yes | 0 to 696 |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | A string identifier for the animated model. This output is provided for backward compatibility only. | STRING |
| `GLB` | The animated 3D model file in GLB format. | FILE3DGLB |
| `FBX` | The animated 3D model file in FBX format. | FILE3DFBX |
@@ -18,4 +20,4 @@ This node applies a specific animation to a 3D character model that has already
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyAnimateModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `0af4e96d031025fdb5e11d6dd35e408b61dcdd4ca64f88464a6510426485dac2`
+**Source fingerprint (SHA-256):** `e773145f8f08e80f3cef8ce70becc3b593aea8e02a888a0005353f1bc8e3b909`
diff --git a/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md b/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md
index 771195e76..361026db2 100644
--- a/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md
@@ -1,3 +1,5 @@
+# Meshy: Image to Model
+
The Meshy: Image to Model node uses the Meshy API to generate a 3D model from a single input image. It uploads your image, submits a processing task, and returns the generated 3D model files (GLB and FBX) along with the task ID for reference.
## Inputs
@@ -35,4 +37,4 @@ The Meshy: Image to Model node uses the Meshy API to generate a 3D model from a
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyImageToModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `87825d9d78ccfb1efdf07da0e9c8cfca39a8446dd99d346c732e4d1470194205`
+**Source fingerprint (SHA-256):** `9f7abcb0db3c78715e4ba7370efe294caf186590f7ab62da8568778848fc838c`
diff --git a/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md b/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md
index e22d28dbd..4d078c6df 100644
--- a/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md
@@ -1,3 +1,5 @@
+# Meshy: Multi-Image to Model
+
This node uses the Meshy API to generate a 3D model from multiple input images. It uploads the provided images, submits a processing task, and returns the resulting 3D model files (GLB and FBX) along with the task ID for reference.
## Inputs
@@ -7,7 +9,7 @@ This node uses the Meshy API to generate a 3D model from multiple input images.
| `model` | Specifies the AI model version to use. | COMBO | Yes | `"latest"` |
| `images` | A set of images used to generate the 3D model. You must provide between 2 and 4 images. | IMAGE | Yes | 2 to 4 images |
| `should_remesh` | Determines if the generated mesh should be processed. When set to `"false"`, the node returns an unprocessed triangular mesh. | COMBO | Yes | `"true"`
`"false"` |
-| `topology` | The target polygon type for the remeshed output. This parameter is only available and required when `should_remesh` is set to `"true"`. | COMBO | No | `"triangle"`
`"quad"` |
+| `topology` | The target polygon type for the remeshed output. This parameter is only available when `should_remesh` is set to `"true"`. | COMBO | No | `"triangle"`
`"quad"` |
| `target_polycount` | The target number of polygons for the remeshed model (default: 300000). This parameter is only available when `should_remesh` is set to `"true"`. | INT | No | 100 to 300000 |
| `symmetry_mode` | Controls whether symmetry is applied to the generated model. | COMBO | Yes | `"auto"`
`"on"`
`"off"` |
| `should_texture` | Determines whether textures are generated. Setting it to `"false"` skips the texture phase and returns a mesh without textures. | COMBO | Yes | `"true"`
`"false"` |
@@ -36,4 +38,4 @@ This node uses the Meshy API to generate a 3D model from multiple input images.
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyMultiImageToModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `7118368e2d9c1a7df9866d19a033c6e2efd632381624a9ee537552502185d444`
+**Source fingerprint (SHA-256):** `c2282cad611bbbc8c0a618df6a68fcd9f6e3c29c6d08b2c96a117c29765d8a7a`
diff --git a/comfyui_embedded_docs/docs/MeshyRefineNode/en.md b/comfyui_embedded_docs/docs/MeshyRefineNode/en.md
index fac22f0d4..ce11f7363 100644
--- a/comfyui_embedded_docs/docs/MeshyRefineNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyRefineNode/en.md
@@ -1,12 +1,14 @@
+# Meshy: Refine Draft Model
+
The Meshy: Refine Draft Model node takes a previously generated 3D draft model and improves its quality, optionally adding textures. It submits a refinement task to the Meshy API and returns the final 3D model files once processing is complete.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | Specifies the AI model to use for refinement. Currently, only the "latest" model is available. | COMBO | Yes | `"latest"` |
| `meshy_task_id` | The unique task ID of the draft model you want to refine. | MESHY_TASK_ID | Yes | - |
-| `enable_pbr` | Generate PBR Maps (metallic, roughness, normal) in addition to the base color. Note: this should be set to false when using Sculpture style, as Sculpture style generates its own set of PBR maps. (default: `False`) | BOOLEAN | No | - |
+| `enable_pbr` | Generate PBR Maps (metallic, roughness, normal) in addition to the base color. Note: this should be set to false when using Sculpture style, as Sculpture style generates its own set of PBR maps. (default: False) | BOOLEAN | No | - |
| `texture_prompt` | Provide a text prompt to guide the texturing process. Maximum 600 characters. Cannot be used at the same time as `texture_image`. (default: empty string) | STRING | No | - |
| `texture_image` | Only one of `texture_image` or `texture_prompt` may be used at the same time. | IMAGE | No | - |
@@ -15,7 +17,7 @@ The Meshy: Refine Draft Model node takes a previously generated 3D draft model a
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The filename of the generated GLB model. (For backward compatibility only) | STRING |
| `meshy_task_id` | The unique task ID for the submitted refinement job. | MESHY_TASK_ID |
| `GLB` | The final refined 3D model in GLB format. | FILE3DGLB |
@@ -24,4 +26,4 @@ The Meshy: Refine Draft Model node takes a previously generated 3D draft model a
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRefineNode/en.md)
---
-**Source fingerprint (SHA-256):** `b1cfdeb12d1f79c4c18f96b4f8a92de227210e369b22356fe7232e025956696e`
+**Source fingerprint (SHA-256):** `dc4e8c43e16132b3928d21c94c6648cdc8df46e671ecd5686ac811cde69123aa`
diff --git a/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md b/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md
index fd2d13dcc..712dfeff3 100644
--- a/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md
@@ -1,9 +1,11 @@
+# Meshy: Rig Model Node
+
The Meshy: Rig Model node takes a 3D model from a previous Meshy task and automatically creates a skeleton for it, producing a rigged character that can be posed and animated. The node outputs the rigged model in both GLB and FBX file formats.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `meshy_task_id` | The unique task ID from a previous Meshy operation (e.g., text-to-3D or image-to-3D) that generated the model to be rigged. | STRING | Yes | N/A |
| `height_meters` | The approximate height of the character model in meters. This aids in scaling and rigging accuracy (default: 1.7). | FLOAT | Yes | 0.1 to 15.0 |
| `texture_image` | The model's UV-unwrapped base color texture image. | IMAGE | No | N/A |
@@ -13,7 +15,7 @@ The Meshy: Rig Model node takes a 3D model from a previous Meshy task and automa
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | A legacy output for backward compatibility, containing the filename of the GLB model. | STRING |
| `rig_task_id` | The unique task ID for this rigging operation, which can be used to reference the result. | STRING |
| `GLB` | The rigged 3D character model saved in the GLB file format. | FILE3DGLB |
@@ -22,4 +24,4 @@ The Meshy: Rig Model node takes a 3D model from a previous Meshy task and automa
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyRigModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `de47454600293b647fd6e244ad7e53de66169bb0d2b65df517a85bc6bc3ee6e0`
+**Source fingerprint (SHA-256):** `c7817278d4269d6a507937691529e063cb470e5123d33a726307bff7e1813344`
diff --git a/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md b/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md
index aaa3abf4c..de8ad3965 100644
--- a/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md
@@ -1,25 +1,27 @@
+# Meshy: Text to Model
+
The Meshy: Text to Model node uses the Meshy API to generate a 3D model from a text description. It sends a request to the API with your prompt and settings, then waits for the generation to complete and downloads the resulting model files.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | Specifies the AI model version to use. Currently, only the "latest" version is available. | COMBO | Yes | `"latest"` |
| `prompt` | The text description of the 3D model you want to generate. Must be between 1 and 600 characters long. | STRING | Yes | - |
| `style` | The artistic style for the generated 3D model. | COMBO | Yes | `"realistic"`
`"sculpture"` |
| `should_remesh` | Controls whether the generated mesh is processed. When set to "false", the node returns an unprocessed triangular mesh. Selecting "true" reveals additional parameters for topology and polycount. | DYNAMIC COMBO | Yes | `"true"`
`"false"` |
-| `topology` | The target polygon type for the remeshed model. This parameter is only available and required when `should_remesh` is set to "true". | COMBO | No* | `"triangle"`
`"quad"` |
-| `target_polycount` | The target number of polygons for the remeshed model. Default is 300000. This parameter is only available and required when `should_remesh` is set to "true". | INT | No* | 100 - 300000 |
+| `topology` | The target polygon type for the remeshed model. This parameter is only available when `should_remesh` is set to "true". | COMBO | No* | `"triangle"`
`"quad"` |
+| `target_polycount` | The target number of polygons for the remeshed model. Default is 300000. This parameter is only available when `should_remesh` is set to "true". | INT | No* | 100 - 300000 |
| `symmetry_mode` | Controls symmetry in the generated model. | COMBO | Yes | `"auto"`
`"on"`
`"off"` |
| `pose_mode` | Specifies the pose mode for the generated model. An empty string means no specific pose is requested. | COMBO | Yes | `""`
`"A-pose"`
`"T-pose"` |
| `seed` | A seed value for generation. Setting this controls whether the node should re-run, but results are non-deterministic regardless of the seed value. Default is 0. | INT | Yes | 0 - 2147483647 |
-*Note: The `topology` and `target_polycount` parameters are conditionally required. They only appear and must be set when the `should_remesh` parameter is set to "true".
+*Note: The `topology` and `target_polycount` parameters are conditionally available. They only appear when the `should_remesh` parameter is set to "true".
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The filename of the generated GLB model. This output is provided for backward compatibility. | STRING |
| `meshy_task_id` | The unique identifier for the Meshy API task. | MESHY_TASK_ID |
| `GLB` | The generated 3D model file in GLB format. | FILE3DGLB |
@@ -28,4 +30,4 @@ The Meshy: Text to Model node uses the Meshy API to generate a 3D model from a t
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextToModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `4b02709a29d3df85e0ab1741b46d3ac74b0fe04135afa435f882b5a02114cc97`
+**Source fingerprint (SHA-256):** `1860b2d760aa81d611d4f44114591b4d98ccb85075bd1e06beabf462fb58bd53`
diff --git a/comfyui_embedded_docs/docs/MeshyTextureNode/en.md b/comfyui_embedded_docs/docs/MeshyTextureNode/en.md
index 2f140d4cb..6df13b3a1 100644
--- a/comfyui_embedded_docs/docs/MeshyTextureNode/en.md
+++ b/comfyui_embedded_docs/docs/MeshyTextureNode/en.md
@@ -1,3 +1,5 @@
+# Meshy: Texture Model Node
+
The Meshy: Texture Node applies AI-generated textures to a 3D model. It takes a task ID from a previous Meshy 3D generation or conversion node and uses either a text description or a reference image to create new textures for the model. The node outputs the textured model in GLB and FBX file formats.
## Inputs
@@ -28,4 +30,4 @@ The Meshy: Texture Node applies AI-generated textures to a 3D model. It takes a
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MeshyTextureNode/en.md)
---
-**Source fingerprint (SHA-256):** `ac14eadd89c884abb8cb4800093fca93c8da5d8c86beec94bbdd40d34368ca09`
+**Source fingerprint (SHA-256):** `b98ba2d88adcc55c4b708f9222007d61911fbec9454f3f2e912e42a0b485c61c`
diff --git a/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md b/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md
index d38400f71..0c554eb25 100644
--- a/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md
@@ -1,9 +1,11 @@
+# MiniMax Hailuo Video
+
Generates videos from text prompts using the MiniMax Hailuo-02 model. You can optionally provide a starting image as the first frame to create a video that continues from that image.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt_text` | Text prompt to guide the video generation. | STRING | Yes | - |
| `seed` | The random seed used for creating the noise (default: 0). | INT | No | 0 to 18446744073709551615 |
| `first_frame_image` | Optional image to use as the first frame to generate a video. | IMAGE | No | - |
@@ -16,10 +18,10 @@ Generates videos from text prompts using the MiniMax Hailuo-02 model. You can op
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxHailuoVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `180e8d3c739e34094a12a719d3187378a4c360a5799a4b23029edf164d0c55a3`
+**Source fingerprint (SHA-256):** `7b6c78459bb1347ca61cb16fb6c5e9c88c6a0896dda90f48bb1b6397b99e8ca0`
diff --git a/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md b/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md
index 564480755..e7fc8f0c6 100644
--- a/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md
@@ -1,9 +1,11 @@
+# MiniMax Image to Video
+
Generates videos synchronously based on an image and prompt, and optional parameters using MiniMax's API. This node takes an input image and text description to create a video sequence, with various model options and configuration settings available.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | Image to use as first frame of video generation | IMAGE | Yes | - |
| `prompt_text` | Text prompt to guide the video generation (default: empty string) | STRING | Yes | - |
| `model` | Model to use for video generation (default: "I2V-01") | COMBO | Yes | "I2V-01-Director"
"I2V-01"
"I2V-01-live" |
@@ -12,10 +14,10 @@ Generates videos synchronously based on an image and prompt, and optional parame
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video output | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxImageToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `8e5ae93cc214b541665f057c66d3203ef0ffdb10021fed2c05607df1b1a27844`
+**Source fingerprint (SHA-256):** `90eef1d58fa0ae4897ab19d702ecad707948eb79181ac4927dba650056e954c8`
diff --git a/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md b/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md
index 1a455c669..336dfd1c6 100644
--- a/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md
@@ -1,9 +1,11 @@
+# MiniMax Subject to Video Node
+
Generates a video synchronously based on a subject image and a text prompt using MiniMax's API. This node takes an image of a subject and a description to create a video that animates or features that subject according to the prompt.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `subject` | Image of subject to reference for video generation | IMAGE | Yes | - |
| `prompt_text` | Text prompt to guide the video generation (default: empty string) | STRING | Yes | - |
| `model` | Model to use for video generation (default: "S2V-01") | COMBO | No | `"S2V-01"` |
@@ -12,10 +14,10 @@ Generates a video synchronously based on a subject image and a text prompt using
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video based on the input subject image and prompt | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxSubjectToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `0dbdb1bb92850f4eac7c30017643a49ad932b2542bdf5c5c521ba875a0e341ca`
+**Source fingerprint (SHA-256):** `e7d496d8e24a776bbea4afe102858e7d31c4f2e273889703eb02cc61e8389055`
diff --git a/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md b/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md
index b06fa6df7..380195bc7 100644
--- a/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md
@@ -1,9 +1,11 @@
+# MiniMax Text to Video
+
Generates videos synchronously based on a text prompt and optional parameters using MiniMax's API. This node creates video content from text descriptions by connecting to MiniMax's text-to-video service.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt_text` | Text prompt to guide the video generation | STRING | Yes | - |
| `model` | Model to use for video generation (default: "T2V-01") | COMBO | No | "T2V-01"
"T2V-01-Director" |
| `seed` | The random seed used for creating the noise (default: 0) | INT | No | 0 to 18446744073709551615 |
@@ -11,10 +13,10 @@ Generates videos synchronously based on a text prompt and optional parameters us
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video based on the input prompt | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/MinimaxTextToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `603b6407446f4f7c5ea9520126f960a52c498d16b59f66fe022fd439b59c39ba`
+**Source fingerprint (SHA-256):** `1d389bdcc48f903e04dad043a8609250f34466b9084b1319c411e155a8040422`
diff --git a/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md b/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md
index fe454fb37..fc6517cb2 100644
--- a/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md
@@ -1,20 +1,22 @@
+# OpenAIChatConfig Node Documentation
+
The OpenAIChatConfig node allows setting additional configuration options for the OpenAI Chat Node. It provides advanced settings that control how the model generates responses, including truncation behavior, output length limits, and custom instructions.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `truncation` | The truncation strategy to use for the model response. auto: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation. disabled: If a model response will exceed the context window size for a model, the request will fail with a 400 error (default: "auto") | COMBO | Yes | `"auto"`
`"disabled"` |
+|-----------|-------------|-----------|----------|-------|
+| `truncation` | The truncation strategy to use for the model response. auto: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation. disabled: If a model response will exceed the context window size for a model, the request will fail with a 400 error (default: "auto") | STRING | Yes | "auto"
"disabled" |
| `max_output_tokens` | An upper bound for the number of tokens that can be generated for a response, including visible output tokens (default: 4096) | INT | No | 16 to 16384 |
| `instructions` | Instructions for the model on how to generate the response (multiline input supported) | STRING | No | - |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `OPENAI_CHAT_CONFIG` | Configuration object containing the specified settings for use with OpenAI Chat Nodes | OPENAI_CHAT_CONFIG |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatConfig/en.md)
---
-**Source fingerprint (SHA-256):** `f9ae6d3b2818ea37543156c2f209fc4d093e40e446907deb4be327ca0c9d70e1`
+**Source fingerprint (SHA-256):** `5690c4b6490b7fea3674e4c61dadce8dc7cdb49048d34b0b417b9e00c6f7ddb4`
diff --git a/comfyui_embedded_docs/docs/OpenAIChatNode/en.md b/comfyui_embedded_docs/docs/OpenAIChatNode/en.md
index a4d36b527..28027fe88 100644
--- a/comfyui_embedded_docs/docs/OpenAIChatNode/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIChatNode/en.md
@@ -1,9 +1,11 @@
+# OpenAIChatNode Documentation
+
This node generates text responses from an OpenAI model. It sends your text prompt (and optionally images or files) to an OpenAI model and returns the generated text response.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text inputs to the model, used to generate a response (default: empty) | STRING | Yes | - |
| `persist_context` | This parameter is deprecated and has no effect (default: False) | BOOLEAN | Yes | - |
| `model` | The model used to generate the response (default: `gpt-5`) | COMBO | Yes | `gpt-5.5-pro`
`gpt-5.5`
`gpt-5`
`gpt-5-mini`
`gpt-5-nano`
`gpt-4.1`
`gpt-4.1-mini`
`gpt-4.1-nano`
`o4-mini`
`o3`
`o1-pro`
`o1` |
@@ -14,10 +16,10 @@ This node generates text responses from an OpenAI model. It sends your text prom
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output_text` | The text response generated by the OpenAI model | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIChatNode/en.md)
---
-**Source fingerprint (SHA-256):** `9adc9685d7fc31fba95bf43fa9e041289b6dbb9ab8f5ed30dc85e0acc015fe5c`
+**Source fingerprint (SHA-256):** `517c4825fa1047fb7411f8c822a53f818c9559c94736874592f61d0bdcfea6b7`
diff --git a/comfyui_embedded_docs/docs/OpenAIDalle3/en.md b/comfyui_embedded_docs/docs/OpenAIDalle3/en.md
index 0e6dc5013..a59d5dc06 100644
--- a/comfyui_embedded_docs/docs/OpenAIDalle3/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIDalle3/en.md
@@ -1,9 +1,11 @@
+# OpenAI DALL·E 3
+
Generates images synchronously via OpenAI's DALL·E 3 endpoint. This node takes a text prompt and creates corresponding images using OpenAI's DALL·E 3 model, allowing you to specify image quality, style, and dimensions.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text prompt for DALL·E (default: "") | STRING | Yes | - |
| `seed` | Not implemented yet in backend (default: 0) | INT | No | 0 to 2147483647 |
| `quality` | Image quality (default: "standard") | COMBO | No | "standard"
"hd" |
@@ -13,10 +15,10 @@ Generates images synchronously via OpenAI's DALL·E 3 endpoint. This node takes
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `IMAGE` | The generated image from DALL·E 3 | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIDalle3/en.md)
---
-**Source fingerprint (SHA-256):** `f100a8564689c2c54cc5c22df554af7e5c166bd4f15bc9234bade4d0819a09dd`
+**Source fingerprint (SHA-256):** `9077628610503d8c0afdd04e30dadac46106bd577d10f2d7aa10864db4430605`
diff --git a/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md b/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md
index a9490a973..b42d91058 100644
--- a/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md
@@ -1,9 +1,11 @@
+# OpenAI GPT Image 1
+
Generates images synchronously via OpenAI's GPT Image endpoint. This node can create new images from text prompts or edit existing images when provided with an input image and optional mask. It supports multiple GPT Image models, including gpt-image-1, gpt-image-1.5, and gpt-image-2.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text prompt for GPT Image (default: "") | STRING | Yes | - |
| `seed` | Random seed for generation (default: 0) - not implemented yet in backend | INT | No | 0 to 2147483647 |
| `quality` | Image quality, affects cost and generation time (default: "low") | COMBO | No | "low"
"medium"
"high" |
@@ -32,10 +34,10 @@ Generates images synchronously via OpenAI's GPT Image endpoint. This node can cr
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `IMAGE` | Generated or edited image(s) | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImage1/en.md)
---
-**Source fingerprint (SHA-256):** `826d393831ee38e97dad3ea238877d0aeb5bf16778612c51cdc0ca4816efead2`
+**Source fingerprint (SHA-256):** `e7f460fccb6c372558f9a012632804a6047ee5be78b1fc3209f255a55fe13d7c`
diff --git a/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md b/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md
index dd3f15bd1..ea4dacd56 100644
--- a/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md
@@ -35,4 +35,4 @@ This node generates images using OpenAI's GPT Image API. It supports multiple mo
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIGPTImageNodeV2/en.md)
---
-**Source fingerprint (SHA-256):** `dcea500ebbbbfe87f8b0dd2d714cf2356edf2030312c2cc6e41d64bd2ad04ea6`
+**Source fingerprint (SHA-256):** `d0544a2d0f9e9cdd4b121bbf18eb6e43d508b2230e44dfa814649f6a4999e543`
diff --git a/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md b/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md
index 7f901bf2c..0605fbb4a 100644
--- a/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md
@@ -1,9 +1,11 @@
+# OpenAIInputFiles
+
Loads and formats input files for the OpenAI API. This node prepares text (.txt) and PDF (.pdf) files to include as context inputs for the OpenAI Chat Node. The files will be read by the OpenAI model when generating a response. Multiple OpenAI Input Files nodes can be chained together to include several files in a single message.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `file` | Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now. Files must be smaller than 32MB. | COMBO | Yes | Multiple options available (all .txt and .pdf files in the input directory under 32MB) |
| `OPENAI_INPUT_FILES` | An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files. | OPENAI_INPUT_FILES | No | N/A |
@@ -16,10 +18,10 @@ Loads and formats input files for the OpenAI API. This node prepares text (.txt)
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `OPENAI_INPUT_FILES` | Formatted input files ready to be used as context for OpenAI API calls. | OPENAI_INPUT_FILES |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIInputFiles/en.md)
---
-**Source fingerprint (SHA-256):** `9e1a60feb48d39646c4247dd12b15c3eb392e1b85b3db2f254571d568d772de0`
+**Source fingerprint (SHA-256):** `6554e685184ced830ee27aa96efefc8bb9616bd0504685bdb643c715ebc6dd98`
diff --git a/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md b/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md
index e0c62e95b..f0793a084 100644
--- a/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md
+++ b/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md
@@ -1,3 +1,5 @@
+# OpenAI Sora - Video (DEPRECATED)
+
The OpenAIVideoSora2 node generates videos using OpenAI's Sora models. It creates video content based on text prompts and optional input images, then returns the generated video output. The node supports different video durations and resolutions depending on the selected model.
**DEPRECATION NOTICE:** OpenAI will stop serving the Sora v2 API in September 2026. This node will be removed from ComfyUI at that time.
@@ -28,4 +30,4 @@ The OpenAIVideoSora2 node generates videos using OpenAI's Sora models. It create
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenAIVideoSora2/en.md)
---
-**Source fingerprint (SHA-256):** `b632ef33ca5f01a7aed780a9eeea9b2fcbf4ab85ccb8f026e6175ceaafbda47b`
+**Source fingerprint (SHA-256):** `132b98ce6473c7870053800bc2886293ab88292f40327e541fc053cdcc2f36cd`
diff --git a/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md b/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md
index 6d382eec1..aaf787553 100644
--- a/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md
+++ b/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md
@@ -1,3 +1,5 @@
+# OpenRouter LLM Node Documentation
+
## Overview
The OpenRouter LLM node sends a text prompt to a curated set of popular language models available through the OpenRouter service and returns the generated text response. It supports models from providers like xAI, DeepSeek, Qwen, Mistral, Z.AI (GLM), Moonshot (Kimi), and Perplexity Sonar, and can optionally include images or videos in the request.
@@ -5,7 +7,7 @@ The OpenRouter LLM node sends a text prompt to a curated set of popular language
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text input to the model. | STRING | Yes | N/A |
| `model` | The OpenRouter model used to generate the response. | STRING | Yes | Multiple options available (see note below) |
| `seed` | Seed for sampling. Set to 0 to omit. Most models treat this as a hint only. (default: 0) | INT | Yes | 0 to 2147483647 |
@@ -17,13 +19,15 @@ The OpenRouter LLM node sends a text prompt to a curated set of popular language
**Note on `system_prompt`:** This parameter is optional and is marked as an advanced parameter in the user interface.
+**Note on image and video constraints:** Some models support image and video inputs. The maximum number of images and videos allowed depends on the selected model. The node will raise an error if the number of images or videos exceeds the model's limit.
+
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated text response from the OpenRouter model. | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/OpenRouterLLMNode/en.md)
---
-**Source fingerprint (SHA-256):** `24757e36bf2356cc1805a6f071db88ca455e17944695672f19845a4cd1826c8a`
+**Source fingerprint (SHA-256):** `d6a807299f476427edfb67b756bb88a6678f6f3fcaf79d20e934f02caf72cb6c`
diff --git a/comfyui_embedded_docs/docs/PiDConditioning/en.md b/comfyui_embedded_docs/docs/PiDConditioning/en.md
index 1e3fddbc1..48eb130d9 100644
--- a/comfyui_embedded_docs/docs/PiDConditioning/en.md
+++ b/comfyui_embedded_docs/docs/PiDConditioning/en.md
@@ -1,23 +1,23 @@
-## Overview
+# PiD Conditioning
Attaches a latent image and a degrade sigma value to a CONDITIONING data. This is used for PiD (Pixel-in-Detail) decoding or upscaling, allowing you to control how much the latent is degraded before processing.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `positive` | The conditioning data to attach the latent and degrade sigma to. | CONDITIONING | Yes | - |
| `latent` | The latent image (from VAEEncode or a KSampler) to attach to the conditioning. | LATENT | Yes | - |
-| `latent_format` | The format of the latent. Flux1 and Flux2 latents are auto-detected from the channel dimension. SD3 must be selected manually (default: "flux"). | COMBO | Yes | `"flux"`
`"sd3"` |
+| `latent_format` | The format of the latent. Flux1 (16-ch) and Flux2 (128-ch) latents are auto-detected from the channel dimension under "flux". For SD3 (16-ch), SDXL (4-ch), or QwenImage (16-ch), select manually (default: "flux"). | COMBO | Yes | `"flux"`
`"sd3"`
`"sdxl"`
`"qwenimage"` |
| `degrade_sigma` | The amount of degradation to apply. 0 means a clean latent. Increase this value to denoise corrupted latent outputs (default: 0.0). | FLOAT | Yes | 0.0 to 1.0 (step: 0.01) |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `CONDITIONING` | The original conditioning data with the latent and degrade sigma values attached. | CONDITIONING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PiDConditioning/en.md)
---
-**Source fingerprint (SHA-256):** `7c8de543629c2299fc2c1e035e433dfc249af594773a77e65c69dde67eb104d7`
+**Source fingerprint (SHA-256):** `5785e2edc3c49006bf6b9faa2f245ea5e0e0f3540306dba015a843b06a48ff92`
diff --git a/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md b/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md
index 84a359002..298d7392f 100644
--- a/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md
@@ -1,9 +1,11 @@
+# PixVerse Image to Video Node
+
Generates videos based on an input image and text prompt. This node takes an image and creates an animated video by applying the specified motion and quality settings to transform the static image into a moving sequence.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | Input image to transform into video | IMAGE | Yes | - |
| `prompt` | Prompt for the video generation | STRING | Yes | - |
| `quality` | Video quality setting (default: res_540p) | COMBO | Yes | `res_540p`
`res_1080p` |
@@ -18,10 +20,10 @@ Generates videos based on an input image and text prompt. This node takes an ima
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | Generated video based on the input image and parameters | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseImageToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `4ca1624efc87e87de75c33aab850c84a0c8c786229930695fce479fe50455cb0`
+**Source fingerprint (SHA-256):** `e95db00401aaa81959a93b2111b6395e3ff34baf55857dc3453a174328012a82`
diff --git a/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md b/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md
index 2d3d0865c..05e74f67b 100644
--- a/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md
+++ b/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md
@@ -1,18 +1,20 @@
+# PixVerse Template Node
+
The PixVerse Template node allows you to select from available templates for PixVerse video generation. It converts your selected template name into the corresponding template ID that the PixVerse API requires for video creation.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `template` | The template to use for PixVerse video generation. The available options correspond to predefined templates in the PixVerse system. | STRING | Yes | Multiple options available |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `pixverse_template` | The template ID corresponding to the selected template name, which can be used by other PixVerse nodes for video generation. | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTemplateNode/en.md)
---
-**Source fingerprint (SHA-256):** `34daaf036f28b676b1048e8e4174ab34bf69328a94dd9e51696f6298936b4e84`
+**Source fingerprint (SHA-256):** `618f9203127c55e8b65802fe3711c6d7c7dc6b631e9050f9685419c1b23bc138`
diff --git a/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md b/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md
index 98165b431..3229133b0 100644
--- a/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md
@@ -1,9 +1,11 @@
+# PixVerse Text to Video Node
+
Generates videos based on a text prompt and various generation parameters. This node creates video content using the PixVerse API, allowing control over aspect ratio, quality, duration, motion style, and more.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the video generation (default: "") | STRING | Yes | - |
| `aspect_ratio` | Aspect ratio for the generated video | COMBO | Yes | `"16:9"`
`"9:16"`
`"1:1"` |
| `quality` | Video quality setting (default: "540p") | COMBO | Yes | `"540p"`
`"1080p"` |
@@ -18,10 +20,10 @@ Generates videos based on a text prompt and various generation parameters. This
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTextToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `dd065e218e3e8ca3d70b58f4d8afdecc33094635663c87f79467452ca47881c7`
+**Source fingerprint (SHA-256):** `9b0bf0d863243b5a9840c21c7f82caea32d30395a22290e323b63d86eabd0721`
diff --git a/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md b/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md
index d176316b5..700c2717d 100644
--- a/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md
@@ -1,3 +1,5 @@
+# PixVerse Transition Video
+
Generates a transition video between two input images using the PixVerse API. You provide a starting image and an ending image, and the node creates a smooth video that transitions from one to the other, guided by your text prompt and chosen settings.
## Inputs
@@ -24,4 +26,4 @@ Generates a transition video between two input images using the PixVerse API. Yo
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PixverseTransitionVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `941ba26ffdd5cc93d800066ccd75adc4ccdb9a1c9f93ae0ccd28a11ba5f3c567`
+**Source fingerprint (SHA-256):** `dca56852dc24e6bc9f011888495952beed16b4dcc8995bb8d35e3b6a421933d9`
diff --git a/comfyui_embedded_docs/docs/Preview3DAdvanced/ar.md b/comfyui_embedded_docs/docs/Preview3DAdvanced/ar.md
index 9f550cb0d..93d45d707 100644
--- a/comfyui_embedded_docs/docs/Preview3DAdvanced/ar.md
+++ b/comfyui_embedded_docs/docs/Preview3DAdvanced/ar.md
@@ -6,9 +6,9 @@
| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
|---------|-------|---------------|--------|--------|
-| `model_3d` | ملف نموذج ثلاثي الأبعاد من عقدة ثلاثية الأبعاد سابقة. | FILE3D | نعم | GLB، GLTF، FBX، OBJ، STL، USDZ، أو أي تنسيق ثلاثي الأبعاد مدعوم |
+| `نموذج ثلاثي الأبعاد` | ملف نموذج ثلاثي الأبعاد من عقدة ثلاثية الأبعاد سابقة. | FILE3D | نعم | GLB، GLTF، FBX، OBJ، STL، USDZ، أو أي تنسيق ثلاثي الأبعاد مدعوم |
| `model_3d_info` | بيانات وصفية اختيارية لمعلومات النموذج. | LOAD3DMODELINFO | لا | - |
-| `viewport_state` | حالة منفذ العرض الحالية التي تحتوي على معلومات الكاميرا والنموذج. | LOAD3D | نعم | - |
+| `حالة نافذة العرض` | حالة منفذ العرض الحالية التي تحتوي على معلومات الكاميرا والنموذج. | LOAD3D | نعم | - |
| `camera_info` | إعدادات كاميرا اختيارية للمنظر ثلاثي الأبعاد. | LOAD3DCAMERA | لا | - |
| `width` | عرض المعاينة بالبكسل. | INT | نعم | 1 إلى 4096 (الافتراضي: 1024) |
| `height` | ارتفاع المعاينة بالبكسل. | INT | نعم | 1 إلى 4096 (الافتراضي: 1024) |
diff --git a/comfyui_embedded_docs/docs/Preview3DAdvanced/fa.md b/comfyui_embedded_docs/docs/Preview3DAdvanced/fa.md
index 90b4c605c..d6e38f998 100644
--- a/comfyui_embedded_docs/docs/Preview3DAdvanced/fa.md
+++ b/comfyui_embedded_docs/docs/Preview3DAdvanced/fa.md
@@ -6,9 +6,9 @@
| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
|---------|---------|----------|--------|--------|
-| `model_3d` | فایل مدل سهبعدی از یک گره سهبعدی بالادست. | FILE3D | بله | GLB، GLTF، FBX، OBJ، STL، USDZ یا هر فرمت سهبعدی پشتیبانیشده |
+| `مدل ۳بعدی` | فایل مدل سهبعدی از یک گره سهبعدی بالادست. | FILE3D | بله | GLB، GLTF، FBX، OBJ، STL، USDZ یا هر فرمت سهبعدی پشتیبانیشده |
| `اطلاعات مدل سهبعدی` | فراداده اختیاری اطلاعات مدل. | LOAD3DMODELINFO | خیر | - |
-| `viewport_state` | وضعیت فعلی نمای دید شامل اطلاعات دوربین و مدل. | LOAD3D | بله | - |
+| `وضعیت نمای دید` | وضعیت فعلی نمای دید شامل اطلاعات دوربین و مدل. | LOAD3D | بله | - |
| `اطلاعات دوربین` | پیکربندی اختیاری دوربین برای نمای سهبعدی. | LOAD3DCAMERA | خیر | - |
| `عرض` | عرض پیشنمایش بر حسب پیکسل. | INT | بله | 1 تا 4096 (پیشفرض: 1024) |
| `ارتفاع` | ارتفاع پیشنمایش بر حسب پیکسل. | INT | بله | 1 تا 4096 (پیشفرض: 1024) |
@@ -17,7 +17,7 @@
| نام خروجی | توضیحات | نوع داده |
|-----------|---------|----------|
-| `model_3d` | فایل مدل سهبعدی عبور دادهشده از ورودی. | FILE3D |
+| `مدل ۳بعدی` | فایل مدل سهبعدی عبور دادهشده از ورودی. | FILE3D |
| `اطلاعات مدل سهبعدی` | فراداده اطلاعات مدل، یا از ورودی یا از وضعیت نمای دید. | LOAD3DMODELINFO |
| `اطلاعات دوربین` | پیکربندی دوربین، یا از ورودی یا از وضعیت نمای دید. | LOAD3DCAMERA |
| `عرض` | عرض پیشنمایش بر حسب پیکسل. | INT |
diff --git a/comfyui_embedded_docs/docs/Preview3DAdvanced/fr.md b/comfyui_embedded_docs/docs/Preview3DAdvanced/fr.md
index 6601b8d84..e12474366 100644
--- a/comfyui_embedded_docs/docs/Preview3DAdvanced/fr.md
+++ b/comfyui_embedded_docs/docs/Preview3DAdvanced/fr.md
@@ -6,9 +6,9 @@ Ce nœud fournit un aperçu avancé de modèles 3D avec sortie des informations
| Paramètre | Description | Type de données | Requis | Plage |
|-----------|-------------|-----------------|--------|-------|
-| `model_3d` | Fichier de modèle 3D provenant d'un nœud 3D en amont. | FILE3D | Oui | GLB, GLTF, FBX, OBJ, STL, USDZ ou tout format 3D pris en charge |
+| `modèle 3D` | Fichier de modèle 3D provenant d'un nœud 3D en amont. | FILE3D | Oui | GLB, GLTF, FBX, OBJ, STL, USDZ ou tout format 3D pris en charge |
| `infos_modèle_3d` | Métadonnées facultatives d'informations sur le modèle. | LOAD3DMODELINFO | Non | - |
-| `viewport_state` | État actuel de la fenêtre d'affichage contenant les informations de caméra et de modèle. | LOAD3D | Oui | - |
+| `état de la vue` | État actuel de la fenêtre d'affichage contenant les informations de caméra et de modèle. | LOAD3D | Oui | - |
| `infos_caméra` | Configuration facultative de la caméra pour la vue 3D. | LOAD3DCAMERA | Non | - |
| `largeur` | Largeur de l'aperçu en pixels. | INT | Oui | 1 à 4096 (par défaut : 1024) |
| `hauteur` | Hauteur de l'aperçu en pixels. | INT | Oui | 1 à 4096 (par défaut : 1024) |
diff --git a/comfyui_embedded_docs/docs/Preview3DAdvanced/pt-BR.md b/comfyui_embedded_docs/docs/Preview3DAdvanced/pt-BR.md
index fd56cd450..2923238f0 100644
--- a/comfyui_embedded_docs/docs/Preview3DAdvanced/pt-BR.md
+++ b/comfyui_embedded_docs/docs/Preview3DAdvanced/pt-BR.md
@@ -6,9 +6,9 @@ Este nó fornece uma pré-visualização avançada de modelos 3D com saída de i
| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
|-----------|-----------|--------------|-------------|-------|
-| `model_3d` | Arquivo de modelo 3D de um nó 3D anterior. | FILE3D | Sim | GLB, GLTF, FBX, OBJ, STL, USDZ ou qualquer formato 3D suportado |
+| `modelo_3d` | Arquivo de modelo 3D de um nó 3D anterior. | FILE3D | Sim | GLB, GLTF, FBX, OBJ, STL, USDZ ou qualquer formato 3D suportado |
| `info_modelo_3d` | Metadados opcionais de informações do modelo. | LOAD3DMODELINFO | Não | - |
-| `viewport_state` | O estado atual da janela de visualização contendo informações da câmera e do modelo. | LOAD3D | Sim | - |
+| `estado_da_janela_de_visualização` | O estado atual da janela de visualização contendo informações da câmera e do modelo. | LOAD3D | Sim | - |
| `info_câmera` | Configuração opcional da câmera para a visualização 3D. | LOAD3DCAMERA | Não | - |
| `largura` | A largura da pré-visualização em pixels. | INT | Sim | 1 a 4096 (padrão: 1024) |
| `altura` | A altura da pré-visualização em pixels. | INT | Sim | 1 a 4096 (padrão: 1024) |
@@ -17,7 +17,7 @@ Este nó fornece uma pré-visualização avançada de modelos 3D com saída de i
| Nome da Saída | Descrição | Tipo de Dado |
|---------------|-----------|--------------|
-| `model_3d` | O arquivo de modelo 3D transmitido da entrada. | FILE3D |
+| `modelo_3d` | O arquivo de modelo 3D transmitido da entrada. | FILE3D |
| `info_modelo_3d` | Metadados de informações do modelo, seja da entrada ou do estado da janela de visualização. | LOAD3DMODELINFO |
| `info_câmera` | Configuração da câmera, seja da entrada ou do estado da janela de visualização. | LOAD3DCAMERA |
| `largura` | A largura da pré-visualização em pixels. | INT |
diff --git a/comfyui_embedded_docs/docs/Preview3DAdvanced/ru.md b/comfyui_embedded_docs/docs/Preview3DAdvanced/ru.md
index 1580ff194..d0be23240 100644
--- a/comfyui_embedded_docs/docs/Preview3DAdvanced/ru.md
+++ b/comfyui_embedded_docs/docs/Preview3DAdvanced/ru.md
@@ -6,9 +6,9 @@
| Параметр | Описание | Тип данных | Обязательный | Диапазон |
|----------|----------|------------|--------------|----------|
-| `model_3d` | Файл 3D-модели из предыдущего 3D-узла. | FILE3D | Да | GLB, GLTF, FBX, OBJ, STL, USDZ или любой поддерживаемый 3D-формат |
+| `3D-модель` | Файл 3D-модели из предыдущего 3D-узла. | FILE3D | Да | GLB, GLTF, FBX, OBJ, STL, USDZ или любой поддерживаемый 3D-формат |
| `model_3d_info` | Необязательные метаданные информации о модели. | LOAD3DMODELINFO | Нет | - |
-| `viewport_state` | Текущее состояние области просмотра, содержащее информацию о камере и модели. | LOAD3D | Да | - |
+| `состояние области просмотра` | Текущее состояние области просмотра, содержащее информацию о камере и модели. | LOAD3D | Да | - |
| `camera_info` | Необязательная конфигурация камеры для 3D-вида. | LOAD3DCAMERA | Нет | - |
| `width` | Ширина предпросмотра в пикселях. | INT | Да | от 1 до 4096 (по умолчанию: 1024) |
| `height` | Высота предпросмотра в пикселях. | INT | Да | от 1 до 4096 (по умолчанию: 1024) |
@@ -17,7 +17,7 @@
| Имя выхода | Описание | Тип данных |
|------------|----------|------------|
-| `model_3d` | Файл 3D-модели, переданный из входных данных. | FILE3D |
+| `3D-модель` | Файл 3D-модели, переданный из входных данных. | FILE3D |
| `model_3d_info` | Метаданные информации о модели, полученные либо из входных данных, либо из состояния области просмотра. | LOAD3DMODELINFO |
| `camera_info` | Конфигурация камеры, полученная либо из входных данных, либо из состояния области просмотра. | LOAD3DCAMERA |
| `width` | Ширина предпросмотра в пикселях. | INT |
diff --git a/comfyui_embedded_docs/docs/PreviewGaussianSplat/ar.md b/comfyui_embedded_docs/docs/PreviewGaussianSplat/ar.md
index 03fc9bd67..396a65a22 100644
--- a/comfyui_embedded_docs/docs/PreviewGaussianSplat/ar.md
+++ b/comfyui_embedded_docs/docs/PreviewGaussianSplat/ar.md
@@ -6,22 +6,22 @@
| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
|---------|-------|---------------|--------|---------|
-| `model_3d` | ملف Gaussian Splat ثلاثي الأبعاد. | FILE3D | نعم | التنسيقات المدعومة: splat, ply, spz, ksplat |
-| `model_3d_info` | بيانات وصفية اختيارية حول النموذج ثلاثي الأبعاد. | LOAD3DMODELINFO | لا | - |
-| `viewport_state` | الحالة الحالية لمنفذ العرض ثلاثي الأبعاد، بما في ذلك معلومات الكاميرا والنموذج. | LOAD3D | نعم | - |
-| `camera_info` | معلومات اختيارية عن الكاميرا للمعاينة. | LOAD3DCAMERA | لا | - |
-| `width` | عرض عرض المعاينة بالبكسل (القيمة الافتراضية: 1024). | INT | نعم | 1 إلى 4096 |
-| `height` | ارتفاع عرض المعاينة بالبكسل (القيمة الافتراضية: 1024). | INT | نعم | 1 إلى 4096 |
+| `نموذج_ثلاثي_الأبعاد` | ملف Gaussian Splat ثلاثي الأبعاد. | FILE3D | نعم | التنسيقات المدعومة: splat, ply, spz, ksplat |
+| `معلومات_النموذج_ثلاثي_الأبعاد` | بيانات وصفية اختيارية حول النموذج ثلاثي الأبعاد. | LOAD3DMODELINFO | لا | - |
+| `حالة_منفذ_العرض` | الحالة الحالية لمنفذ العرض ثلاثي الأبعاد، بما في ذلك معلومات الكاميرا والنموذج. | LOAD3D | نعم | - |
+| `معلومات_الكاميرا` | معلومات اختيارية عن الكاميرا للمعاينة. | LOAD3DCAMERA | لا | - |
+| `العرض` | عرض عرض المعاينة بالبكسل (القيمة الافتراضية: 1024). | INT | نعم | 1 إلى 4096 |
+| `الارتفاع` | ارتفاع عرض المعاينة بالبكسل (القيمة الافتراضية: 1024). | INT | نعم | 1 إلى 4096 |
## المخرجات
| اسم المخرج | الوصف | نوع البيانات |
|------------|-------|---------------|
-| `model_3d` | ملف Gaussian Splat ثلاثي الأبعاد المُدخل، مع تمريره دون تغيير. | FILE3D |
-| `model_3d_info` | بيانات وصفية عن النموذج ثلاثي الأبعاد، إما من المُدخل أو مستمدة من حالة منفذ العرض. | LOAD3DMODELINFO |
-| `camera_info` | معلومات الكاميرا للمعاينة، إما من المُدخل أو مستمدة من حالة منفذ العرض. | LOAD3DCAMERA |
-| `width` | عرض عرض المعاينة. | INT |
-| `height` | ارتفاع عرض المعاينة. | INT |
+| `معلومات_النموذج_ثلاثي_الأبعاد` | ملف Gaussian Splat ثلاثي الأبعاد المُدخل، مع تمريره دون تغيير. | FILE3D |
+| `معلومات_الكاميرا` | بيانات وصفية عن النموذج ثلاثي الأبعاد، إما من المُدخل أو مستمدة من حالة منفذ العرض. | LOAD3DMODELINFO |
+| `العرض` | معلومات الكاميرا للمعاينة، إما من المُدخل أو مستمدة من حالة منفذ العرض. | LOAD3DCAMERA |
+| `الارتفاع` | عرض عرض المعاينة. | INT |
+| `الارتفاع` | ارتفاع عرض المعاينة. | INT |
> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewGaussianSplat/ar.md)
diff --git a/comfyui_embedded_docs/docs/PreviewGaussianSplat/es.md b/comfyui_embedded_docs/docs/PreviewGaussianSplat/es.md
index 775ae1c02..fe1585ab1 100644
--- a/comfyui_embedded_docs/docs/PreviewGaussianSplat/es.md
+++ b/comfyui_embedded_docs/docs/PreviewGaussianSplat/es.md
@@ -6,22 +6,22 @@ El nodo PreviewGaussianSplat permite previsualizar un archivo de splat gaussiano
| Parámetro | Descripción | Tipo de Dato | Obligatorio | Rango |
|-----------|-------------|--------------|-------------|-------|
-| `model_3d` | Un archivo 3D de splat gaussiano. | FILE3D | Sí | Formatos compatibles: splat, ply, spz, ksplat |
-| `model_3d_info` | Información de metadatos opcional sobre el modelo 3D. | LOAD3DMODELINFO | No | - |
-| `viewport_state` | El estado actual del viewport 3D, incluyendo información de cámara y modelo. | LOAD3D | Sí | - |
-| `camera_info` | Información opcional de cámara para la previsualización. | LOAD3DCAMERA | No | - |
-| `width` | El ancho del renderizado de previsualización en píxeles (predeterminado: 1024). | INT | Sí | 1 a 4096 |
-| `height` | La altura del renderizado de previsualización en píxeles (predeterminado: 1024). | INT | Sí | 1 a 4096 |
+| `modelo_3d` | Un archivo 3D de splat gaussiano. | FILE3D | Sí | Formatos compatibles: splat, ply, spz, ksplat |
+| `info_modelo_3d` | Información de metadatos opcional sobre el modelo 3D. | LOAD3DMODELINFO | No | - |
+| `estado_de_vista` | El estado actual del viewport 3D, incluyendo información de cámara y modelo. | LOAD3D | Sí | - |
+| `info_cámara` | Información opcional de cámara para la previsualización. | LOAD3DCAMERA | No | - |
+| `ancho` | El ancho del renderizado de previsualización en píxeles (predeterminado: 1024). | INT | Sí | 1 a 4096 |
+| `alto` | La altura del renderizado de previsualización en píxeles (predeterminado: 1024). | INT | Sí | 1 a 4096 |
## Salidas
| Nombre de Salida | Descripción | Tipo de Dato |
|------------------|-------------|--------------|
-| `model_3d` | El archivo 3D de splat gaussiano de entrada, transmitido sin cambios. | FILE3D |
-| `model_3d_info` | Información de metadatos sobre el modelo 3D, ya sea de la entrada o derivada del estado del viewport. | LOAD3DMODELINFO |
-| `camera_info` | Información de cámara para la previsualización, ya sea de la entrada o derivada del estado del viewport. | LOAD3DCAMERA |
-| `width` | El ancho del renderizado de previsualización. | INT |
-| `height` | La altura del renderizado de previsualización. | INT |
+| `info_modelo_3d` | El archivo 3D de splat gaussiano de entrada, transmitido sin cambios. | FILE3D |
+| `info_cámara` | Información de metadatos sobre el modelo 3D, ya sea de la entrada o derivada del estado del viewport. | LOAD3DMODELINFO |
+| `ancho` | Información de cámara para la previsualización, ya sea de la entrada o derivada del estado del viewport. | LOAD3DCAMERA |
+| `alto` | El ancho del renderizado de previsualización. | INT |
+| `alto` | La altura del renderizado de previsualización. | INT |
> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewGaussianSplat/es.md)
diff --git a/comfyui_embedded_docs/docs/PreviewGaussianSplat/fr.md b/comfyui_embedded_docs/docs/PreviewGaussianSplat/fr.md
index 8852472a1..b08cde750 100644
--- a/comfyui_embedded_docs/docs/PreviewGaussianSplat/fr.md
+++ b/comfyui_embedded_docs/docs/PreviewGaussianSplat/fr.md
@@ -6,22 +6,22 @@ Le nœud PreviewGaussianSplat permet de prévisualiser un fichier de splats gaus
| Paramètre | Description | Type de données | Requis | Plage |
|-----------|-------------|-----------------|--------|-------|
-| `model_3d` | Un fichier 3D de splats gaussiens. | FILE3D | Oui | Formats pris en charge : splat, ply, spz, ksplat |
-| `model_3d_info` | Informations facultatives de métadonnées sur le modèle 3D. | LOAD3DMODELINFO | Non | - |
-| `viewport_state` | L'état actuel de la fenêtre d'affichage 3D, incluant les informations de caméra et de modèle. | LOAD3D | Oui | - |
-| `camera_info` | Informations facultatives de caméra pour la prévisualisation. | LOAD3DCAMERA | Non | - |
-| `width` | La largeur du rendu de prévisualisation en pixels (par défaut : 1024). | INT | Oui | 1 à 4096 |
-| `height` | La hauteur du rendu de prévisualisation en pixels (par défaut : 1024). | INT | Oui | 1 à 4096 |
+| `modèle_3d` | Un fichier 3D de splats gaussiens. | FILE3D | Oui | Formats pris en charge : splat, ply, spz, ksplat |
+| `info_modèle_3d` | Informations facultatives de métadonnées sur le modèle 3D. | LOAD3DMODELINFO | Non | - |
+| `état_vue` | L'état actuel de la fenêtre d'affichage 3D, incluant les informations de caméra et de modèle. | LOAD3D | Oui | - |
+| `info_caméra` | Informations facultatives de caméra pour la prévisualisation. | LOAD3DCAMERA | Non | - |
+| `largeur` | La largeur du rendu de prévisualisation en pixels (par défaut : 1024). | INT | Oui | 1 à 4096 |
+| `hauteur` | La hauteur du rendu de prévisualisation en pixels (par défaut : 1024). | INT | Oui | 1 à 4096 |
## Sorties
| Nom de sortie | Description | Type de données |
|---------------|-------------|-----------------|
-| `model_3d` | Le fichier de splats gaussiens 3D d'entrée, transmis sans modification. | FILE3D |
-| `model_3d_info` | Informations de métadonnées sur le modèle 3D, provenant soit de l'entrée, soit dérivées de l'état de la fenêtre d'affichage. | LOAD3DMODELINFO |
-| `camera_info` | Informations de caméra pour la prévisualisation, provenant soit de l'entrée, soit dérivées de l'état de la fenêtre d'affichage. | LOAD3DCAMERA |
-| `width` | La largeur du rendu de prévisualisation. | INT |
-| `height` | La hauteur du rendu de prévisualisation. | INT |
+| `info_modèle_3d` | Le fichier de splats gaussiens 3D d'entrée, transmis sans modification. | FILE3D |
+| `info_caméra` | Informations de métadonnées sur le modèle 3D, provenant soit de l'entrée, soit dérivées de l'état de la fenêtre d'affichage. | LOAD3DMODELINFO |
+| `largeur` | Informations de caméra pour la prévisualisation, provenant soit de l'entrée, soit dérivées de l'état de la fenêtre d'affichage. | LOAD3DCAMERA |
+| `hauteur` | La largeur du rendu de prévisualisation. | INT |
+| `hauteur` | La hauteur du rendu de prévisualisation. | INT |
> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewGaussianSplat/fr.md)
diff --git a/comfyui_embedded_docs/docs/PreviewGaussianSplat/ja.md b/comfyui_embedded_docs/docs/PreviewGaussianSplat/ja.md
index fa385fb28..0e77c387f 100644
--- a/comfyui_embedded_docs/docs/PreviewGaussianSplat/ja.md
+++ b/comfyui_embedded_docs/docs/PreviewGaussianSplat/ja.md
@@ -17,10 +17,10 @@ PreviewGaussianSplat ノードを使用すると、ComfyUI インターフェー
| 出力名 | 説明 | データ型 |
|-------------|-------------|-----------|
-| `model_3d` | 入力された3Dガウシアンスプラットファイルをそのまま出力 | FILE3D |
-| `model_3d_info` | 入力から取得、またはビューポート状態から導出された3Dモデルのメタデータ情報 | LOAD3DMODELINFO |
-| `camera_info` | 入力から取得、またはビューポート状態から導出されたプレビュー用のカメラ情報 | LOAD3DCAMERA |
-| `width` | プレビューレンダリングの幅 | INT |
+| `model_3d_info` | 入力された3Dガウシアンスプラットファイルをそのまま出力 | FILE3D |
+| `camera_info` | 入力から取得、またはビューポート状態から導出された3Dモデルのメタデータ情報 | LOAD3DMODELINFO |
+| `width` | 入力から取得、またはビューポート状態から導出されたプレビュー用のカメラ情報 | LOAD3DCAMERA |
+| `height` | プレビューレンダリングの幅 | INT |
| `height` | プレビューレンダリングの高さ | INT |
> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewGaussianSplat/ja.md)
diff --git a/comfyui_embedded_docs/docs/PreviewGaussianSplat/ko.md b/comfyui_embedded_docs/docs/PreviewGaussianSplat/ko.md
index 679816e7c..56370130a 100644
--- a/comfyui_embedded_docs/docs/PreviewGaussianSplat/ko.md
+++ b/comfyui_embedded_docs/docs/PreviewGaussianSplat/ko.md
@@ -17,10 +17,10 @@ PreviewGaussianSplat 노드를 사용하면 ComfyUI 인터페이스 내에서 3D
| 출력 이름 | 설명 | 데이터 타입 |
|-------------|-------------|-----------|
-| `model_3d` | 변경 없이 그대로 전달된 입력 3D 가우시안 스플랫 파일입니다. | FILE3D |
-| `model_3d_info` | 입력에서 가져오거나 뷰포트 상태에서 파생된 3D 모델의 메타데이터 정보입니다. | LOAD3DMODELINFO |
-| `camera_info` | 입력에서 가져오거나 뷰포트 상태에서 파생된 미리보기용 카메라 정보입니다. | LOAD3DCAMERA |
-| `width` | 미리보기 렌더링의 너비입니다. | INT |
+| `model_3d_info` | 변경 없이 그대로 전달된 입력 3D 가우시안 스플랫 파일입니다. | FILE3D |
+| `camera_info` | 입력에서 가져오거나 뷰포트 상태에서 파생된 3D 모델의 메타데이터 정보입니다. | LOAD3DMODELINFO |
+| `width` | 입력에서 가져오거나 뷰포트 상태에서 파생된 미리보기용 카메라 정보입니다. | LOAD3DCAMERA |
+| `height` | 미리보기 렌더링의 너비입니다. | INT |
| `height` | 미리보기 렌더링의 높이입니다. | INT |
> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewGaussianSplat/ko.md)
diff --git a/comfyui_embedded_docs/docs/PreviewGaussianSplat/tr.md b/comfyui_embedded_docs/docs/PreviewGaussianSplat/tr.md
index 4ebaa72fd..f2da73520 100644
--- a/comfyui_embedded_docs/docs/PreviewGaussianSplat/tr.md
+++ b/comfyui_embedded_docs/docs/PreviewGaussianSplat/tr.md
@@ -10,18 +10,18 @@ PreviewGaussianSplat düğümü, ComfyUI arayüzü içinde bir 3D gaussian splat
| `model_3d_info` | 3D model hakkında isteğe bağlı meta veri bilgisi. | LOAD3DMODELINFO | Hayır | - |
| `viewport_state` | Kamera ve model bilgisi dahil olmak üzere 3D görünüm alanının mevcut durumu. | LOAD3D | Evet | - |
| `camera_info` | Önizleme için isteğe bağlı kamera bilgisi. | LOAD3DCAMERA | Hayır | - |
-| `width` | Önizleme görüntüsünün piksel cinsinden genişliği (varsayılan: 1024). | INT | Evet | 1 ile 4096 |
-| `height` | Önizleme görüntüsünün piksel cinsinden yüksekliği (varsayılan: 1024). | INT | Evet | 1 ile 4096 |
+| `genişlik` | Önizleme görüntüsünün piksel cinsinden genişliği (varsayılan: 1024). | INT | Evet | 1 ile 4096 |
+| `yükseklik` | Önizleme görüntüsünün piksel cinsinden yüksekliği (varsayılan: 1024). | INT | Evet | 1 ile 4096 |
## Çıktılar
| Çıktı Adı | Açıklama | Veri Türü |
|-----------|----------|-----------|
-| `model_3d` | Giriş 3D gaussian splat dosyası, değiştirilmeden geçirilir. | FILE3D |
-| `model_3d_info` | Girişten veya görünüm alanı durumundan türetilen 3D model hakkında meta veri bilgisi. | LOAD3DMODELINFO |
-| `camera_info` | Girişten veya görünüm alanı durumundan türetilen önizleme için kamera bilgisi. | LOAD3DCAMERA |
-| `width` | Önizleme görüntüsünün genişliği. | INT |
-| `height` | Önizleme görüntüsünün yüksekliği. | INT |
+| `model_3d_info` | Giriş 3D gaussian splat dosyası, değiştirilmeden geçirilir. | FILE3D |
+| `camera_info` | Girişten veya görünüm alanı durumundan türetilen 3D model hakkında meta veri bilgisi. | LOAD3DMODELINFO |
+| `genişlik` | Girişten veya görünüm alanı durumundan türetilen önizleme için kamera bilgisi. | LOAD3DCAMERA |
+| `yükseklik` | Önizleme görüntüsünün genişliği. | INT |
+| `yükseklik` | Önizleme görüntüsünün yüksekliği. | INT |
> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewGaussianSplat/tr.md)
diff --git a/comfyui_embedded_docs/docs/PreviewPointCloud/ar.md b/comfyui_embedded_docs/docs/PreviewPointCloud/ar.md
index db272268e..ba57d2c13 100644
--- a/comfyui_embedded_docs/docs/PreviewPointCloud/ar.md
+++ b/comfyui_embedded_docs/docs/PreviewPointCloud/ar.md
@@ -6,22 +6,22 @@
| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
|-----------|-------------|-----------|----------|-------|
-| `model_3d` | ملف سحابة النقاط (.ply) | FILE3D | نعم | - |
-| `model_3d_info` | معلومات حول النموذج ثلاثي الأبعاد | LOAD3DMODELINFO | لا | - |
-| `viewport_state` | حالة منفذ العرض الحالية | LOAD3D | نعم | - |
-| `camera_info` | معلومات الكاميرا للعرض ثلاثي الأبعاد | LOAD3DCAMERA | لا | - |
-| `width` | عرض نافذة المعاينة (الافتراضي: 1024) | INT | نعم | 1 إلى 4096 |
-| `height` | ارتفاع نافذة المعاينة (الافتراضي: 1024) | INT | نعم | 1 إلى 4096 |
+| `نموذج_ثلاثي_الأبعاد` | ملف سحابة النقاط (.ply) | FILE3D | نعم | - |
+| `معلومات_النموذج_ثلاثي_الأبعاد` | معلومات حول النموذج ثلاثي الأبعاد | LOAD3DMODELINFO | لا | - |
+| `حالة_منفذ_العرض` | حالة منفذ العرض الحالية | LOAD3D | نعم | - |
+| `معلومات_الكاميرا` | معلومات الكاميرا للعرض ثلاثي الأبعاد | LOAD3DCAMERA | لا | - |
+| `العرض` | عرض نافذة المعاينة (الافتراضي: 1024) | INT | نعم | 1 إلى 4096 |
+| `الارتفاع` | ارتفاع نافذة المعاينة (الافتراضي: 1024) | INT | نعم | 1 إلى 4096 |
## المخرجات
| اسم المخرج | الوصف | نوع البيانات |
|-------------|-------------|-----------|
-| `model_3d` | بيانات نموذج سحابة النقاط | FILE3D |
-| `model_3d_info` | معلومات حول النموذج ثلاثي الأبعاد | LOAD3DMODELINFO |
-| `camera_info` | معلومات الكاميرا للعرض ثلاثي الأبعاد | LOAD3DCAMERA |
-| `width` | عرض نافذة المعاينة | INT |
-| `height` | ارتفاع نافذة المعاينة | INT |
+| `معلومات_النموذج_ثلاثي_الأبعاد` | بيانات نموذج سحابة النقاط | FILE3D |
+| `معلومات_الكاميرا` | معلومات حول النموذج ثلاثي الأبعاد | LOAD3DMODELINFO |
+| `العرض` | معلومات الكاميرا للعرض ثلاثي الأبعاد | LOAD3DCAMERA |
+| `الارتفاع` | عرض نافذة المعاينة | INT |
+| `الارتفاع` | ارتفاع نافذة المعاينة | INT |
> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewPointCloud/ar.md)
diff --git a/comfyui_embedded_docs/docs/PreviewPointCloud/es.md b/comfyui_embedded_docs/docs/PreviewPointCloud/es.md
index e34954a2b..d9eca0dd0 100644
--- a/comfyui_embedded_docs/docs/PreviewPointCloud/es.md
+++ b/comfyui_embedded_docs/docs/PreviewPointCloud/es.md
@@ -6,22 +6,22 @@ El nodo Vista Previa de Nube de Puntos le permite visualizar un archivo de nube
| Parámetro | Descripción | Tipo de Dato | Requerido | Rango |
|-----------|-------------|--------------|-----------|-------|
-| `model_3d` | Archivo de nube de puntos (.ply) | FILE3D | Sí | - |
-| `model_3d_info` | Información sobre el modelo 3D | LOAD3DMODELINFO | No | - |
-| `viewport_state` | Estado actual del viewport | LOAD3D | Sí | - |
-| `camera_info` | Información de la cámara para la vista 3D | LOAD3DCAMERA | No | - |
-| `width` | Ancho de la ventana de vista previa (predeterminado: 1024) | INT | Sí | 1 a 4096 |
-| `height` | Alto de la ventana de vista previa (predeterminado: 1024) | INT | Sí | 1 a 4096 |
+| `modelo_3d` | Archivo de nube de puntos (.ply) | FILE3D | Sí | - |
+| `info_modelo_3d` | Información sobre el modelo 3D | LOAD3DMODELINFO | No | - |
+| `estado_de_vista` | Estado actual del viewport | LOAD3D | Sí | - |
+| `info_cámara` | Información de la cámara para la vista 3D | LOAD3DCAMERA | No | - |
+| `ancho` | Ancho de la ventana de vista previa (predeterminado: 1024) | INT | Sí | 1 a 4096 |
+| `alto` | Alto de la ventana de vista previa (predeterminado: 1024) | INT | Sí | 1 a 4096 |
## Salidas
| Nombre de Salida | Descripción | Tipo de Dato |
|------------------|-------------|--------------|
-| `model_3d` | Datos del modelo de nube de puntos | FILE3D |
-| `model_3d_info` | Información sobre el modelo 3D | LOAD3DMODELINFO |
-| `camera_info` | Información de la cámara para la vista 3D | LOAD3DCAMERA |
-| `width` | Ancho de la ventana de vista previa | INT |
-| `height` | Alto de la ventana de vista previa | INT |
+| `info_modelo_3d` | Datos del modelo de nube de puntos | FILE3D |
+| `info_cámara` | Información sobre el modelo 3D | LOAD3DMODELINFO |
+| `ancho` | Información de la cámara para la vista 3D | LOAD3DCAMERA |
+| `alto` | Ancho de la ventana de vista previa | INT |
+| `alto` | Alto de la ventana de vista previa | INT |
> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewPointCloud/es.md)
diff --git a/comfyui_embedded_docs/docs/PreviewPointCloud/fr.md b/comfyui_embedded_docs/docs/PreviewPointCloud/fr.md
index 391735853..9e805ce30 100644
--- a/comfyui_embedded_docs/docs/PreviewPointCloud/fr.md
+++ b/comfyui_embedded_docs/docs/PreviewPointCloud/fr.md
@@ -6,22 +6,22 @@ Le nœud Aperçu du Nuage de Points vous permet de visualiser un fichier de nuag
| Paramètre | Description | Type de Données | Requis | Plage |
|-----------|-------------|-----------------|--------|-------|
-| `model_3d` | Fichier de nuage de points (.ply) | FILE3D | Oui | - |
-| `model_3d_info` | Informations sur le modèle 3D | LOAD3DMODELINFO | Non | - |
-| `viewport_state` | État actuel de la vue | LOAD3D | Oui | - |
-| `camera_info` | Informations de la caméra pour la vue 3D | LOAD3DCAMERA | Non | - |
-| `width` | Largeur de la fenêtre d'aperçu (par défaut : 1024) | INT | Oui | 1 à 4096 |
-| `height` | Hauteur de la fenêtre d'aperçu (par défaut : 1024) | INT | Oui | 1 à 4096 |
+| `modèle_3d` | Fichier de nuage de points (.ply) | FILE3D | Oui | - |
+| `info_modèle_3d` | Informations sur le modèle 3D | LOAD3DMODELINFO | Non | - |
+| `état_vue` | État actuel de la vue | LOAD3D | Oui | - |
+| `info_caméra` | Informations de la caméra pour la vue 3D | LOAD3DCAMERA | Non | - |
+| `largeur` | Largeur de la fenêtre d'aperçu (par défaut : 1024) | INT | Oui | 1 à 4096 |
+| `hauteur` | Hauteur de la fenêtre d'aperçu (par défaut : 1024) | INT | Oui | 1 à 4096 |
## Sorties
| Nom de Sortie | Description | Type de Données |
|---------------|-------------|-----------------|
-| `model_3d` | Données du modèle de nuage de points | FILE3D |
-| `model_3d_info` | Informations sur le modèle 3D | LOAD3DMODELINFO |
-| `camera_info` | Informations de la caméra pour la vue 3D | LOAD3DCAMERA |
-| `width` | Largeur de la fenêtre d'aperçu | INT |
-| `height` | Hauteur de la fenêtre d'aperçu | INT |
+| `info_modèle_3d` | Données du modèle de nuage de points | FILE3D |
+| `info_caméra` | Informations sur le modèle 3D | LOAD3DMODELINFO |
+| `largeur` | Informations de la caméra pour la vue 3D | LOAD3DCAMERA |
+| `hauteur` | Largeur de la fenêtre d'aperçu | INT |
+| `hauteur` | Hauteur de la fenêtre d'aperçu | INT |
> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewPointCloud/fr.md)
diff --git a/comfyui_embedded_docs/docs/PreviewPointCloud/ja.md b/comfyui_embedded_docs/docs/PreviewPointCloud/ja.md
index a7aca15ee..4a5d05778 100644
--- a/comfyui_embedded_docs/docs/PreviewPointCloud/ja.md
+++ b/comfyui_embedded_docs/docs/PreviewPointCloud/ja.md
@@ -17,10 +17,10 @@ Preview Point Cloud ノードを使用すると、ComfyUI インターフェー
| 出力名 | 説明 | データ型 |
|-------------|-------------|-----------|
-| `model_3d` | ポイントクラウドモデルデータ | FILE3D |
-| `model_3d_info` | 3Dモデルに関する情報 | LOAD3DMODELINFO |
-| `camera_info` | 3Dビューのカメラ情報 | LOAD3DCAMERA |
-| `width` | プレビューウィンドウの幅 | INT |
+| `model_3d_info` | ポイントクラウドモデルデータ | FILE3D |
+| `camera_info` | 3Dモデルに関する情報 | LOAD3DMODELINFO |
+| `width` | 3Dビューのカメラ情報 | LOAD3DCAMERA |
+| `height` | プレビューウィンドウの幅 | INT |
| `height` | プレビューウィンドウの高さ | INT |
> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewPointCloud/ja.md)
diff --git a/comfyui_embedded_docs/docs/PreviewPointCloud/ko.md b/comfyui_embedded_docs/docs/PreviewPointCloud/ko.md
index b0213d4e8..20341009f 100644
--- a/comfyui_embedded_docs/docs/PreviewPointCloud/ko.md
+++ b/comfyui_embedded_docs/docs/PreviewPointCloud/ko.md
@@ -17,10 +17,10 @@ Preview Point Cloud 노드는 ComfyUI 인터페이스 내에서 3D 포인트 클
| 출력 이름 | 설명 | 데이터 타입 |
|-----------|------|------------|
-| `model_3d` | 포인트 클라우드 모델 데이터 | FILE3D |
-| `model_3d_info` | 3D 모델에 대한 정보 | LOAD3DMODELINFO |
-| `camera_info` | 3D 뷰를 위한 카메라 정보 | LOAD3DCAMERA |
-| `width` | 미리보기 창의 너비 | INT |
+| `model_3d_info` | 포인트 클라우드 모델 데이터 | FILE3D |
+| `camera_info` | 3D 모델에 대한 정보 | LOAD3DMODELINFO |
+| `width` | 3D 뷰를 위한 카메라 정보 | LOAD3DCAMERA |
+| `height` | 미리보기 창의 너비 | INT |
| `height` | 미리보기 창의 높이 | INT |
> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewPointCloud/ko.md)
diff --git a/comfyui_embedded_docs/docs/PreviewPointCloud/tr.md b/comfyui_embedded_docs/docs/PreviewPointCloud/tr.md
index 6450c2865..d62009ff0 100644
--- a/comfyui_embedded_docs/docs/PreviewPointCloud/tr.md
+++ b/comfyui_embedded_docs/docs/PreviewPointCloud/tr.md
@@ -10,18 +10,18 @@ Nokta Bulutunu Önizle düğümü, ComfyUI arayüzü içinde bir 3B nokta bulutu
| `model_3d_info` | 3B model hakkında bilgi | LOAD3DMODELINFO | Hayır | - |
| `viewport_state` | Geçerli görüntü alanı durumu | LOAD3D | Evet | - |
| `camera_info` | 3B görünüm için kamera bilgisi | LOAD3DCAMERA | Hayır | - |
-| `width` | Önizleme penceresi genişliği (varsayılan: 1024) | INT | Evet | 1 ila 4096 |
-| `height` | Önizleme penceresi yüksekliği (varsayılan: 1024) | INT | Evet | 1 ila 4096 |
+| `genişlik` | Önizleme penceresi genişliği (varsayılan: 1024) | INT | Evet | 1 ila 4096 |
+| `yükseklik` | Önizleme penceresi yüksekliği (varsayılan: 1024) | INT | Evet | 1 ila 4096 |
## Çıktılar
| Çıktı Adı | Açıklama | Veri Türü |
|-----------|----------|-----------|
-| `model_3d` | Nokta bulutu model verisi | FILE3D |
-| `model_3d_info` | 3B model hakkında bilgi | LOAD3DMODELINFO |
-| `camera_info` | 3B görünüm için kamera bilgisi | LOAD3DCAMERA |
-| `width` | Önizleme penceresi genişliği | INT |
-| `height` | Önizleme penceresi yüksekliği | INT |
+| `model_3d_info` | Nokta bulutu model verisi | FILE3D |
+| `camera_info` | 3B model hakkında bilgi | LOAD3DMODELINFO |
+| `genişlik` | 3B görünüm için kamera bilgisi | LOAD3DCAMERA |
+| `yükseklik` | Önizleme penceresi genişliği | INT |
+| `yükseklik` | Önizleme penceresi yüksekliği | INT |
> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewPointCloud/tr.md)
diff --git a/comfyui_embedded_docs/docs/PreviewPointCloud/zh.md b/comfyui_embedded_docs/docs/PreviewPointCloud/zh.md
index 3fbf74e2f..b435085cd 100644
--- a/comfyui_embedded_docs/docs/PreviewPointCloud/zh.md
+++ b/comfyui_embedded_docs/docs/PreviewPointCloud/zh.md
@@ -17,10 +17,10 @@
| 输出名称 | 描述 | 数据类型 |
|-------------|-------------|-----------|
-| `model_3d` | 点云模型数据 | FILE3D |
-| `model_3d_info` | 3D 模型的信息 | LOAD3DMODELINFO |
-| `camera_info` | 3D 视图的相机信息 | LOAD3DCAMERA |
-| `width` | 预览窗口的宽度 | INT |
+| `model_3d_info` | 点云模型数据 | FILE3D |
+| `camera_info` | 3D 模型的信息 | LOAD3DMODELINFO |
+| `width` | 3D 视图的相机信息 | LOAD3DCAMERA |
+| `height` | 预览窗口的宽度 | INT |
| `height` | 预览窗口的高度 | INT |
> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/PreviewPointCloud/zh.md)
diff --git a/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md b/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md
index 683a3651f..b20e93601 100644
--- a/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md
+++ b/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md
@@ -1,21 +1,23 @@
+# Quiver Image to SVG Node
+
This node converts a raster image into a scalable vector graphic (SVG) using Quiver AI's vectorization models. It sends the image to an external API which processes it and returns the vectorized result.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | Input image to vectorize. | IMAGE | Yes | N/A |
-| `auto_crop` | Automatically crop to the dominant subject. This is an advanced parameter (default: `False`). | BOOLEAN | No | `True`
`False` |
+| `auto_crop` | Automatically crop to the dominant subject (default: False). | BOOLEAN | No | True
False |
| `model` | Model to use for SVG vectorization. Selecting a model reveals additional parameters specific to that model: `target_size` (square resize target in pixels, default: 1024, range: 128-4096), `temperature`, `top_p`, and `presence_penalty`. | DYNAMICCOMBO | Yes | Multiple options available |
| `seed` | Seed to determine if the node should re-run; the actual results are nondeterministic regardless of the seed value. This parameter has "control after generate" functionality (default: 0). | INT | No | 0 to 2147483647 |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `SVG` | The vectorized SVG output. | SVG |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverImageToSVGNode/en.md)
---
-**Source fingerprint (SHA-256):** `f2e411bd3ed235d04a94cb3e5c26990eb30404c3329e9c91e705d3039d2d8089`
+**Source fingerprint (SHA-256):** `178655d7b92a5b6823eefc2e75952fc8a12128da68786ba60bcfca1c7b464147`
diff --git a/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md b/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md
index e8a977a5a..753891cae 100644
--- a/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md
+++ b/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md
@@ -1,13 +1,15 @@
+# Quiver Text to SVG Node
+
The Quiver Text to SVG node generates a Scalable Vector Graphic (SVG) image from a text description using Quiver AI's models. You can optionally provide reference images and style instructions to guide the generation process.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text description of the desired SVG output. This is the main instruction for what to generate. | STRING | Yes | N/A |
| `instructions` | Additional style or formatting guidance. This is an optional, advanced parameter. | STRING | No | N/A |
| `reference_images` | Up to 4 reference images to guide the generation. This is an optional input. | IMAGE | No | 0 to 4 images |
-| `model` | Model to use for SVG generation. The available options are determined by the Quiver API. | COMBO | Yes | `"Quiver SVG v1"`
`"Quiver SVG v1 Max"`
`"Quiver SVG v1 Preview"` |
+| `model` | Model to use for SVG generation. | COMBO | Yes | `"Quiver SVG v1"`
`"Quiver SVG v1 Max"`
`"Quiver SVG v1 Preview"` |
| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. Default: 0. | INT | Yes | 0 to 2147483647 |
**Note:** The `reference_images` input accepts a maximum of 4 images. If more are provided, the node will raise an error.
@@ -15,10 +17,10 @@ The Quiver Text to SVG node generates a Scalable Vector Graphic (SVG) image from
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `SVG` | The generated Scalable Vector Graphic (SVG) image. | SVG |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/QuiverTextToSVGNode/en.md)
---
-**Source fingerprint (SHA-256):** `dd5edd1be1c3cfd4b651896a1b020da7005f72097e0dcf09b947be0b771b8756`
+**Source fingerprint (SHA-256):** `68401d15367a78fa9349a72c18572994ae1615983ddfe04b4f744695057f2a94`
diff --git a/comfyui_embedded_docs/docs/RecraftColorRGB/en.md b/comfyui_embedded_docs/docs/RecraftColorRGB/en.md
index d8fd372d9..300ab33b8 100644
--- a/comfyui_embedded_docs/docs/RecraftColorRGB/en.md
+++ b/comfyui_embedded_docs/docs/RecraftColorRGB/en.md
@@ -1,9 +1,11 @@
+# Recraft Color RGB Node
+
Create a Recraft color by specifying individual red, green, and blue values. This node takes RGB integer values (0-255) and converts them into a Recraft color format that can be used in other Recraft operations. You can also optionally provide an existing Recraft color chain to extend it with the new color.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `r` | Red value of color (default: 0) | INT | Yes | 0-255 |
| `g` | Green value of color (default: 0) | INT | Yes | 0-255 |
| `b` | Blue value of color (default: 0) | INT | Yes | 0-255 |
@@ -12,10 +14,10 @@ Create a Recraft color by specifying individual red, green, and blue values. Thi
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `recraft_color` | The created Recraft color object containing the specified RGB values, or the extended color chain if an existing one was provided | COLOR |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftColorRGB/en.md)
---
-**Source fingerprint (SHA-256):** `3c645f17232a1c646b6b64dab658a48dc4aa4c10c2daee9451977f824c3bf2c2`
+**Source fingerprint (SHA-256):** `2246d266bc36d1aa7f115402b049f895f2b15d0085b84d1b0a813cdfb1b6e2fc`
diff --git a/comfyui_embedded_docs/docs/RecraftControls/en.md b/comfyui_embedded_docs/docs/RecraftControls/en.md
index 996a9e8c4..333513c00 100644
--- a/comfyui_embedded_docs/docs/RecraftControls/en.md
+++ b/comfyui_embedded_docs/docs/RecraftControls/en.md
@@ -1,19 +1,21 @@
+# Recraft Controls Node
+
Creates Recraft Controls for customizing Recraft generation. This node allows you to configure color settings that will be used during the Recraft image generation process.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `colors` | Color settings for the main elements | COLOR | No | - |
| `background_color` | Background color setting | COLOR | No | - |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `recraft_controls` | The configured Recraft controls containing color settings | CONTROLS |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftControls/en.md)
---
-**Source fingerprint (SHA-256):** `3d07c8ca226e19849ebe5d37d93f129c77930a6971e58fe73abc2a47a58ee42e`
+**Source fingerprint (SHA-256):** `d6237821472e5305303c25119601b1c8eb5781d3e1aee4f6b3b80060a4fdc8cf`
diff --git a/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md b/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md
index 641e701bb..da2131d96 100644
--- a/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md
@@ -1,9 +1,11 @@
+# Recraft Create Style Node
+
This node creates a custom style for image generation by uploading reference images. You can upload between 1 and 5 images to define the new style, and the node will return a unique style ID that can be used with other Recraft nodes. The total combined file size of all uploaded images must not exceed 5 MB.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `style` | The base style of the generated images. | STRING | Yes | `"realistic_image"`
`"digital_illustration"` |
| `images` | A set of 1 to 5 reference images used to create the custom style. | IMAGE | Yes | 1 to 5 images |
@@ -12,10 +14,10 @@ This node creates a custom style for image generation by uploading reference ima
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `style_id` | The unique identifier for the newly created custom style. | STRING |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreateStyleNode/en.md)
---
-**Source fingerprint (SHA-256):** `9f6d6f87621b72fcbf19200e7b2461c9a22160311c77411e9ddd06ee2053dc63`
+**Source fingerprint (SHA-256):** `36edcb0b96eed5930d9d7ff00a1812d129b7cd9b7ab0f0d758594a20791826b2`
diff --git a/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md b/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md
index c20d20cce..92ce781f9 100644
--- a/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md
@@ -1,18 +1,20 @@
+# Recraft Creative Upscale Image Node
+
The Recraft Creative Upscale Image node enhances a raster image by increasing its resolution. It uses a "creative upscale" process that focuses on improving small details and faces within the image. This operation is performed synchronously through an external API.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `image` | The input image to be upscaled. | IMAGE | Yes | |
+|-----------|-------------|-----------|----------|-------|
+| `image` | The input image to be upscaled. | IMAGE | Yes | |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The resulting upscaled image with enhanced details. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCreativeUpscaleNode/en.md)
---
-**Source fingerprint (SHA-256):** `1dc5cd9d6f0c5a269d20ad94e417d31abc20c4ef8dd673f926ab4aceb2b6d924`
+**Source fingerprint (SHA-256):** `52e19f6dfb3846cdea2b150f3008fa49c98bc5fced94ffb362846d3a5fba57df`
diff --git a/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md b/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md
index 379274dbf..77d642aac 100644
--- a/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md
@@ -1,18 +1,20 @@
+# Recraft Crisp Upscale Image Node
+
Upscale image synchronously. Enhances a given raster image using the 'crisp upscale' tool, increasing image resolution, making the image sharper and cleaner.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to be upscaled. Accepts a batch of images. | IMAGE | Yes | - |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The upscaled image with enhanced resolution and clarity. Returns a batch of images if a batch was provided as input. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftCrispUpscaleNode/en.md)
---
-**Source fingerprint (SHA-256):** `4683d62ca72ce624ad96b41e4abbbcf3df8c8e11f473f1729a675fba78a9ccc0`
+**Source fingerprint (SHA-256):** `0a5efef73c86ef24825055af39601576e4ae465e641783b524d347325a5c5982`
diff --git a/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md b/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md
index f383af904..2416e31a5 100644
--- a/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md
@@ -1,9 +1,11 @@
+# Recraft Image Inpainting Node
+
This node modifies specific areas of an image based on a text prompt and a mask. It uses the Recraft API to intelligently edit only the masked regions while keeping the rest of the image unchanged.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to be modified | IMAGE | Yes | - |
| `mask` | The mask defining which areas of the image should be modified | MASK | Yes | - |
| `prompt` | Prompt for the image generation (default: empty string, maximum length: 1000 characters) | STRING | Yes | - |
@@ -17,10 +19,10 @@ This node modifies specific areas of an image based on a text prompt and a mask.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The modified image(s) generated based on the prompt and mask. Returns one image per input image multiplied by the `n` parameter | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageInpaintingNode/en.md)
---
-**Source fingerprint (SHA-256):** `c0871ae6510d42f5525701dd622f2f84a65103a7eec053635c4bd64102a2a4e6`
+**Source fingerprint (SHA-256):** `64493a418224f4a01c6b6511581d31f92189852a32b41d9748629e57782bd511`
diff --git a/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md b/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md
index 3c043c134..6072b33ab 100644
--- a/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md
@@ -1,9 +1,11 @@
+# Recraft Image to Image Node
+
This node modifies an existing image based on a text prompt and strength parameter. It uses the Recraft API to transform the input image according to the provided description while maintaining some similarity to the original image based on the strength setting.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to be modified | IMAGE | Yes | - |
| `prompt` | Prompt for the image generation (default: "", max length: 1000 characters) | STRING | Yes | - |
| `n` | The number of images to generate (default: 1) | INT | Yes | 1-6 |
@@ -18,10 +20,10 @@ This node modifies an existing image based on a text prompt and strength paramet
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The generated image(s) based on the input image and prompt | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftImageToImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `15f0f42a1c217abcffeff3836ec77d8a94b37143fdff45d69e1a645f5ffac939`
+**Source fingerprint (SHA-256):** `5e5b675c5122fd4b3c754590b18d4cdf2ec995b4d14c1b9150050599071b38bb`
diff --git a/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md b/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md
index 0816ad530..252de11e8 100644
--- a/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md
@@ -1,19 +1,21 @@
+# Recraft Remove Background Node
+
This node removes the background from images using the Recraft API service. It processes each image in the input batch and returns both the processed images with transparent backgrounds and corresponding alpha masks that indicate the removed background areas.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image(s) to process for background removal | IMAGE | Yes | - |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | Processed images with transparent backgrounds | IMAGE |
| `mask` | Alpha channel masks indicating the removed background areas | MASK |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftRemoveBackgroundNode/en.md)
---
-**Source fingerprint (SHA-256):** `8bced9bb96c179101a2122fb5990cb3015313ad6ca888adf7a37b082b2e8a656`
+**Source fingerprint (SHA-256):** `b71006e6b276329c2652483a06ac57ab817135a9d2d2625a971bef9dcb870d5c`
diff --git a/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md b/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md
index fa35d0673..f8212eb1c 100644
--- a/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md
@@ -1,9 +1,11 @@
+# Recraft Replace Background
+
Replace background on image, based on provided prompt. This node uses the Recraft API to generate new backgrounds for your images according to your text description, allowing you to completely transform the background while keeping the main subject intact.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to process | IMAGE | Yes | - |
| `prompt` | Prompt for the image generation (default: empty) | STRING | Yes | - |
| `n` | The number of images to generate (default: 1) | INT | Yes | 1-6 |
@@ -16,10 +18,10 @@ Replace background on image, based on provided prompt. This node uses the Recraf
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `IMAGE` | The generated image(s) with replaced background | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftReplaceBackgroundNode/en.md)
---
-**Source fingerprint (SHA-256):** `ce14005093aaac30de3de84c43bd46c0a3327d0ba8de4ea7ec62afa2028c1cae`
+**Source fingerprint (SHA-256):** `3b97298469f0b116da260f444df4d1c174e04720938e3701f964a4aefda2213b`
diff --git a/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md b/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md
index 5e729eb39..a8a38ab25 100644
--- a/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md
+++ b/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md
@@ -1,18 +1,20 @@
+# Recraft Style - Digital Illustration
+
This node configures a style for use with the Recraft API, specifically selecting the "digital_illustration" style. It allows you to choose an optional substyle to further refine the artistic direction of the generated image.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `substyle` | An optional substyle to specify a particular type of digital illustration. If not selected, the base "digital_illustration" style is used. | STRING | No | `"digital_illustration"`
`"digital_illustration_anime"`
`"digital_illustration_cartoon"`
`"digital_illustration_comic"`
`"digital_illustration_concept_art"`
`"digital_illustration_fantasy"`
`"digital_illustration_futuristic"`
`"digital_illustration_graffiti"`
`"digital_illustration_graphic_novel"`
`"digital_illustration_hyperrealistic"`
`"digital_illustration_ink"`
`"digital_illustration_manga"`
`"digital_illustration_minimalist"`
`"digital_illustration_pixel_art"`
`"digital_illustration_pop_art"`
`"digital_illustration_retro"`
`"digital_illustration_sci_fi"`
`"digital_illustration_sticker"`
`"digital_illustration_street_art"`
`"digital_illustration_surreal"`
`"digital_illustration_vector"` |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `recraft_style` | A configured style object containing the selected "digital_illustration" style and optional substyle, ready to be passed to other Recraft API nodes. | STYLEV3 |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3DigitalIllustration/en.md)
---
-**Source fingerprint (SHA-256):** `167b5f875e1d9ec39dd830d98349fe34b23a3ac870cff8329bc834fe13a5fc8f`
+**Source fingerprint (SHA-256):** `b6901d81bc11c3226d847ed61386b9bcf4ece90f6a95b6ad9888f102ef355594`
diff --git a/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md b/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md
index 50fb94b7c..ea5889cda 100644
--- a/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md
+++ b/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md
@@ -1,9 +1,11 @@
+# Recraft Style - Infinite Style Library
+
This node allows you to select a style from Recraft's Infinite Style Library using a preexisting UUID. It retrieves the style information based on the provided style identifier and returns it for use in other Recraft nodes.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `style_id` | UUID of style from Infinite Style Library. | STRING | Yes | Any valid UUID |
**Note:** The `style_id` input cannot be empty. If an empty string is provided, the node will raise an exception.
@@ -11,10 +13,10 @@ This node allows you to select a style from Recraft's Infinite Style Library usi
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `recraft_style` | The selected style object from Recraft's Infinite Style Library | STYLEV3 |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3InfiniteStyleLibrary/en.md)
---
-**Source fingerprint (SHA-256):** `c613e153fa56f403367f132a2592b853327a28cc640faab061dfe373b0202e21`
+**Source fingerprint (SHA-256):** `4554acaaba9e83373d6fb44ea5465175182efcf7c9220c2328c4749c2febd40f`
diff --git a/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md b/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md
index 5379e761a..3ebbb5b8f 100644
--- a/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md
+++ b/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md
@@ -1,18 +1,20 @@
+# Recraft Style - Logo Raster
+
This node selects the logo raster style and an optional substyle for generating logo images. It specializes in creating logo designs with raster-based visual treatments.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `substyle` | The specific logo raster substyle to apply for logo generation (default: `"none"`) | STRING | Yes | `"none"`
`"bold"`
`"minimal"`
`"vibrant"`
`"handdrawn"`
`"geometric"`
`"vintage"`
`"neon"`
`"gradient"`
`"flat"`
`"outline"`
`"mascot"`
`"badge"`
`"abstract"`
`"retro"`
`"modern"`
`"playful"`
`"luxury"`
`"tech"`
`"nature"`
`"food"`
`"sport"`
`"fashion"`
`"music"`
`"travel"`
`"education"`
`"health"`
`"finance"`
`"realestate"`
`"nonprofit"` |
+|-----------|-------------|-----------|----------|-------|
+| `substyle` | The specific logo raster substyle to apply for logo generation | STRING | Yes | `"bold"`
`"minimal"`
`"vibrant"`
`"handdrawn"`
`"geometric"`
`"vintage"`
`"neon"`
`"gradient"`
`"flat"`
`"outline"`
`"mascot"`
`"badge"`
`"abstract"`
`"retro"`
`"modern"`
`"playful"`
`"luxury"`
`"tech"`
`"nature"`
`"food"`
`"sport"`
`"fashion"`
`"music"`
`"travel"`
`"education"`
`"health"`
`"finance"`
`"realestate"`
`"nonprofit"` |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `recraft_style` | The selected Recraft style configuration, including the logo raster style and chosen substyle | CUSTOM |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3LogoRaster/en.md)
---
-**Source fingerprint (SHA-256):** `a9912e3a9f634cf3e4402cc71e934a636a448ecbfa7664f5167289d4526e4d4f`
+**Source fingerprint (SHA-256):** `f3eedb43237c1b594ff5a2127f4ed67c9d700c1d26e7615350e7876003b0d577`
diff --git a/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md b/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md
index 8ea892511..d949fdb52 100644
--- a/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md
+++ b/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md
@@ -1,18 +1,20 @@
+# Recraft Style - Realistic Image
+
This node creates a style configuration for generating realistic images using Recraft's API. It selects the `realistic_image` style and lets you choose an optional substyle to fine-tune the output appearance.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `substyle` | The specific substyle to apply to the realistic_image style. If set to "None", no substyle will be applied. | STRING | Yes | Multiple options available (determined by Recraft API) |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `recraft_style` | A Recraft style configuration object containing the `realistic_image` style and the selected substyle settings. This output can be connected to other Recraft nodes that accept a style input. | STYLEV3 |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3RealisticImage/en.md)
---
-**Source fingerprint (SHA-256):** `967e52e32456299da342a3d87f46f180f17aa1505cb2a3d22ee5f50cda79e8e3`
+**Source fingerprint (SHA-256):** `df3a09ae0956dd5807b7475248359085fdbe5abb5c40291e37db3ceabafef2ac`
diff --git a/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md b/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md
index 7e7eac940..465033d10 100644
--- a/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md
@@ -1,18 +1,20 @@
+# Recraft Style - Vector Illustration Node
+
This node configures a style for use with the Recraft API, specifically selecting the `vector_illustration` style. It allows you to optionally choose a more specific substyle within that category. The node outputs a style configuration object that can be passed to other Recraft API nodes.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `substyle` | An optional, more specific style within the `vector_illustration` category. If not selected, the base `vector_illustration` style is used. | STRING | No | `"vector_illustration"`
`"vector_illustration_flat"`
`"vector_illustration_3d"`
`"vector_illustration_hand_drawn"`
`"vector_illustration_retro"`
`"vector_illustration_modern"`
`"vector_illustration_abstract"`
`"vector_illustration_geometric"`
`"vector_illustration_organic"`
`"vector_illustration_minimalist"`
`"vector_illustration_detailed"`
`"vector_illustration_colorful"`
`"vector_illustration_monochrome"`
`"vector_illustration_grayscale"`
`"vector_illustration_pastel"`
`"vector_illustration_vibrant"`
`"vector_illustration_muted"`
`"vector_illustration_warm"`
`"vector_illustration_cool"`
`"vector_illustration_neutral"`
`"vector_illustration_bold"`
`"vector_illustration_subtle"`
`"vector_illustration_playful"`
`"vector_illustration_serious"`
`"vector_illustration_elegant"`
`"vector_illustration_rustic"`
`"vector_illustration_urban"`
`"vector_illustration_nature"`
`"vector_illustration_fantasy"`
`"vector_illustration_sci_fi"`
`"vector_illustration_historical"`
`"vector_illustration_futuristic"`
`"vector_illustration_whimsical"`
`"vector_illustration_surreal"`
`"vector_illustration_realistic"`
`"vector_illustration_stylized"`
`"vector_illustration_cartoony"`
`"vector_illustration_anime"`
`"vector_illustration_comic"`
`"vector_illustration_pixel"`
`"vector_illustration_low_poly"`
`"vector_illustration_high_poly"`
`"vector_illustration_isometric"`
`"vector_illustration_orthographic"`
`"vector_illustration_perspective"`
`"vector_illustration_2d"`
`"vector_illustration_2.5d"`
`"vector_illustration_3d"`
`"vector_illustration_4d"` |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `recraft_style` | A Recraft API style configuration object containing the selected `vector_illustration` style and optional substyle. This can be connected to other Recraft nodes. | STYLEV3 |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftStyleV3VectorIllustrationNode/en.md)
---
-**Source fingerprint (SHA-256):** `c57ffa5504fff8430f8193f97d4d991b9373e688a4b412ff4926ef356aef0dc9`
+**Source fingerprint (SHA-256):** `4aa9946fc9918d2a16eafe21f9b77cdada35ca8a12010fc6f1adb8f46f41cad0`
diff --git a/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md b/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md
index 2baf69f92..b57f2f1c0 100644
--- a/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md
@@ -1,9 +1,11 @@
+# Recraft Text to Image Node
+
Generates images synchronously based on prompt and resolution. This node connects to the Recraft API to create images from text descriptions with specified dimensions and optional style and control parameters.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the image generation. (default: "") | STRING | Yes | - |
| `size` | The size of the generated image. (default: "1024x1024") | COMBO | Yes | "1024x1024"
"1152x896"
"896x1152"
"1216x832"
"832x1216"
"1344x768"
"768x1344"
"1536x640"
"640x1536" |
| `n` | The number of images to generate. (default: 1) | INT | Yes | 1-6 |
@@ -21,10 +23,10 @@ Generates images synchronously based on prompt and resolution. This node connect
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `IMAGE` | The generated image(s) as a batched tensor output. When multiple images are generated (n > 1), they are concatenated along the batch dimension. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `946010fbb6a5b99eed11e74de0733f64a270fa62910acf942749c76e0b5448f3`
+**Source fingerprint (SHA-256):** `9e9607f6c122a5560680302287b677a4aced626443bc782641177a4ecdaef65a`
diff --git a/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md b/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md
index 2c18298d0..a7bd672b8 100644
--- a/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md
@@ -1,9 +1,11 @@
+# Recraft Text to Vector
+
Generates SVG vector illustrations synchronously based on a text prompt and resolution. This node sends your prompt to the Recraft API and returns the generated SVG content.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the image generation. (default: "") | STRING | Yes | - |
| `substyle` | The specific vector illustration style to use for generation. | COMBO | Yes | `"2d_character"`
`"2d_gradient"`
`"2d_illustration"`
`"2d_flat_character"`
`"2d_flat_illustration"`
`"2d_art"`
`"2d_art_character"`
`"2d_pattern"`
`"2d_pixel_art"`
`"2d_cyberpunk"`
`"2d_engraving"`
`"2d_black_and_white"`
`"2d_ink"`
`"2d_sketch"`
`"2d_watercolor"`
`"2d_animation"`
`"2d_comic"`
`"2d_children_illustration"`
`"2d_vintage"`
`"2d_retro"`
`"2d_hand_drawn"`
`"2d_psychedelic"`
`"2d_graffiti"`
`"2d_ukiyo_e"`
`"2d_woodcut"`
`"2d_art_deco"`
`"2d_art_nouveau"`
`"2d_bauhaus"`
`"2d_constructivism"`
`"2d_cubism"`
`"2d_futurism"`
`"2d_glitch"`
`"2d_impressionism"`
`"2d_naive"`
`"2d_pointillism"`
`"2d_pop_art"`
`"2d_realism"`
`"2d_renaissance"`
`"2d_rococo"`
`"2d_romanticism"`
`"2d_surrealism"`
`"2d_suprematism"`
`"2d_symbolism"`
`"2d_expressionism"`
`"2d_abstract"`
`"2d_minimalism"`
`"2d_contemporary"`
`"2d_modern"`
`"2d_brutalism"`
`"2d_metaphysical"`
`"2d_mannerism"`
`"2d_baroque"`
`"2d_neoclassicism"`
`"2d_orientalism"`
`"2d_primitivism"`
`"2d_fauvism"`
`"2d_rayonism"`
`"2d_orphism"`
`"2d_vorticism"`
`"2d_dadaism"`
`"2d_neo_expressionism"`
`"2d_transavantgarde"`
`"2d_new_wild"`
`"2d_graffiti_classic"`
`"2d_graffiti_modern"`
`"2d_graffiti_wildstyle"`
`"2d_graffiti_bubble"`
`"2d_graffiti_throwup"`
`"2d_graffiti_tag"`
`"2d_graffiti_blockbuster"`
`"2d_graffiti_mural"`
`"2d_graffiti_stencil"`
`"2d_graffiti_3d"`
`"2d_graffiti_character"`
`"2d_graffiti_abstract"`
`"2d_graffiti_urban"`
`"2d_graffiti_neo_muralism"`
`"2d_graffiti_post_graffiti"`
`"2d_graffiti_street_art"` |
| `size` | The size of the generated image. (default: "1024x1024") | COMBO | Yes | `"1024x1024"`
`"1024x2048"`
`"2048x1024"`
`"2048x2048"`
`"512x512"`
`"512x1024"`
`"1024x512"`
`"2048x512"`
`"512x2048"` |
@@ -17,10 +19,10 @@ Generates SVG vector illustrations synchronously based on a text prompt and reso
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `SVG` | The generated vector illustration in SVG format | SVG |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftTextToVectorNode/en.md)
---
-**Source fingerprint (SHA-256):** `b7b89e929a6d8dba78c0078962c9dde5c803bcff51350b0fb21c0cbd4c725ffe`
+**Source fingerprint (SHA-256):** `4385c843d4ea312e9f35574bff6f75ae4ffd052486b787426ec37b0f8a6316e8`
diff --git a/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md b/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md
index b2bc7c676..5865f2bfb 100644
--- a/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md
@@ -1,9 +1,11 @@
+# Recraft V4 Text to Image Node
+
This node generates images from text descriptions using the Recraft V4 or V4 Pro AI models. It sends your prompt to an external API and returns the generated images. You can control the output by specifying the model, image size, and number of images to create.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the image generation. Maximum 10,000 characters. | STRING | Yes | N/A |
| `negative_prompt` | An optional text description of undesired elements on an image. | STRING | No | N/A |
| `model` | The model to use for generation. Selecting a model determines the available image sizes. | COMBO | Yes | `"recraftv4"`
`"recraftv4_pro"` |
@@ -12,15 +14,15 @@ This node generates images from text descriptions using the Recraft V4 or V4 Pro
| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed (default: 0). | INT | Yes | 0 to 18446744073709551615 |
| `recraft_controls` | Optional additional controls over the generation via the Recraft Controls node. | CUSTOM | No | N/A |
-**Note:** The `size` parameter is a dynamic input whose available options change based on the selected `model`. The `seed` value does not guarantee reproducible image outputs.
+**Note:** The `size` parameter is a dynamic input whose available options change based on the selected `model`. The `seed` value does not guarantee reproducible image outputs. If you use a style ID from the Infinite Style Library, make sure it is not a Vector art style, as this may return SVG data instead of an image.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated image or batch of images. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `b116fc35810d9cd246742b3ee1e3ce5472e79a467981ffb994cd1e2c53f0f086`
+**Source fingerprint (SHA-256):** `aa23cb2627407350b79ed38d9b6a5487802ddda5c7050df7a7bfb167a707cb79`
diff --git a/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md b/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md
index 30c3055cc..4fc4517bb 100644
--- a/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md
@@ -1,13 +1,15 @@
+# Recraft V4 Text to Vector Node
+
The Recraft V4 Text to Vector node generates Scalable Vector Graphics (SVG) illustrations from a text description. It connects to an external API to use either the Recraft V4 or Recraft V4 Pro model for image generation. The node outputs one or more SVG images based on your prompt.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Prompt for the image generation. Maximum 10,000 characters. | STRING | Yes | N/A |
| `negative_prompt` | An optional text description of undesired elements on an image. | STRING | No | N/A |
| `model` | The model to use for generation. Selecting a model changes the available `size` options. | COMBO | Yes | `"recraftv4"`
`"recraftv4_pro"` |
-| `size` | The size of the generated image. The available options depend on the selected `model`. Default is `"1024x1024"` for `recraftv4` and `"2048x2048"` for `recraftv4_pro`. | COMBO | Yes | For `recraftv4`: `"1024x1024"`, `"1152x896"`, `"896x1152"`, `"1216x832"`, `"832x1216"`, `"1344x768"`, `"768x1344"`, `"1536x640"`, `"640x1536"`
For `recraftv4_pro`: `"2048x2048"`, `"2304x1792"`, `"1792x2304"`, `"2432x1664"`, `"1664x2432"`, `"2688x1536"`, `"1536x2688"`, `"3072x1280"`, `"1280x3072"` |
+| `size` | The size of the generated image. The available options depend on the selected `model`. Default is `"1024x1024"` for `recraftv4` and `"2048x2048"` for `recraftv4_pro`. | COMBO | Yes | For `recraftv4`: `"1024x1024"`
`"1152x896"`
`"896x1152"`
`"1216x832"`
`"832x1216"`
`"1344x768"`
`"768x1344"`
`"1536x640"`
`"640x1536"`
For `recraftv4_pro`: `"2048x2048"`
`"2304x1792"`
`"1792x2304"`
`"2432x1664"`
`"1664x2432"`
`"2688x1536"`
`"1536x2688"`
`"3072x1280"`
`"1280x3072"` |
| `n` | The number of images to generate (default: 1). | INT | Yes | 1 to 6 |
| `seed` | Seed to determine if node should re-run; actual results are nondeterministic regardless of seed. | INT | Yes | 0 to 18446744073709551615 |
| `recraft_controls` | Optional additional controls over the generation via the Recraft Controls node. | CUSTOM | No | N/A |
@@ -17,10 +19,10 @@ The Recraft V4 Text to Vector node generates Scalable Vector Graphics (SVG) illu
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated Scalable Vector Graphics (SVG) image(s). | SVG |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftV4TextToVectorNode/en.md)
---
-**Source fingerprint (SHA-256):** `e2524f2607068f2115cf7a192cb9a4f77fbe4e2535108e3c7167923d599fd212`
+**Source fingerprint (SHA-256):** `0e0214036b6a8f9f6aeaad0533e014ef429a94ff55613095acb4317fc69ad934`
diff --git a/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md b/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md
index 989757803..131d42662 100644
--- a/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md
+++ b/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md
@@ -1,18 +1,20 @@
+# Recraft Vectorize Image Node
+
Generates SVG vector graphics from an input image. This node converts raster images into scalable vector format by sending each image to the Recraft API and combining the results into a single SVG output.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to convert to SVG format. Supports batch processing of multiple images. | IMAGE | Yes | - |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `SVG` | The generated vector graphics output combining all processed images into a single SVG document. | SVG |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RecraftVectorizeImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `de221f8156396cd3c95b30840e446811c2a5f8f09d66028cbc2dbe2a551fc4cd`
+**Source fingerprint (SHA-256):** `bda74d9f11cc79217c61ecb8ba597a671133baa4380386428c4d9e9b68006713`
diff --git a/comfyui_embedded_docs/docs/RemoveBackground/en.md b/comfyui_embedded_docs/docs/RemoveBackground/en.md
index de292d24e..ac6f9defa 100644
--- a/comfyui_embedded_docs/docs/RemoveBackground/en.md
+++ b/comfyui_embedded_docs/docs/RemoveBackground/en.md
@@ -1,3 +1,5 @@
+# Remove Background Node Documentation
+
## Overview
The Remove Background node generates a foreground mask that separates the main subject from the background of an input image. It uses a background removal model to analyze the image and produce a mask highlighting the foreground elements.
@@ -5,17 +7,17 @@ The Remove Background node generates a foreground mask that separates the main s
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `image` | Input image to remove the background from | IMAGE | Yes | N/A |
+|-----------|-------------|-----------|----------|-------|
| `bg_removal_model` | Background removal model used to generate the mask | BACKGROUND_REMOVAL_MODEL | Yes | N/A |
+| `image` | Input image to remove the background from | IMAGE | Yes | N/A |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
-| `mask` | Generated foreground mask that highlights the main subject of the input image | MASK |
+|-------------|-------------|-----------|
+| `mask` | Generated foreground mask | MASK |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RemoveBackground/en.md)
---
-**Source fingerprint (SHA-256):** `6b0e31792dc8a5c949944680129e91790ca396336a43ac67b7816b9d6c5b9049`
+**Source fingerprint (SHA-256):** `75b415acedaeaa1a694aeba2e4b0367524c6878e3e4a1f48b2a62898c68109f9`
diff --git a/comfyui_embedded_docs/docs/ResolutionSelector/en.md b/comfyui_embedded_docs/docs/ResolutionSelector/en.md
index 664db5501..72a16c7cf 100644
--- a/comfyui_embedded_docs/docs/ResolutionSelector/en.md
+++ b/comfyui_embedded_docs/docs/ResolutionSelector/en.md
@@ -1,20 +1,23 @@
-The Resolution Selector node calculates the pixel width and height for an image based on a chosen aspect ratio and a target total resolution in megapixels. It is useful for generating consistent dimensions for other nodes, such as the Empty Latent Image node. The output dimensions are always rounded to the nearest multiple of 8.
+# Resolution Selector
+
+The Resolution Selector node calculates pixel width and height based on a chosen aspect ratio and a target total resolution in megapixels. It is useful for generating consistent dimensions for other nodes, such as the Empty Latent Image node.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `aspect_ratio` | The aspect ratio for the output dimensions (default: `"1:1 (Square)"`). | COMBO | Yes | `"1:1 (Square)"`
`"3:2 (Photo)"`
`"4:3 (Standard)"`
`"16:9 (Widescreen)"`
`"21:9 (Ultrawide)"`
`"2:3 (Portrait Photo)"`
`"3:4 (Portrait Standard)"`
`"9:16 (Portrait Widescreen)"` |
-| `megapixels` | Target total megapixels. 1.0 MP ≈ 1024×1024 for a square aspect ratio (default: 1.0). | FLOAT | Yes | 0.1 - 16.0 |
+|-----------|-------------|-----------|----------|-------|
+| `aspect_ratio` | The aspect ratio for the output dimensions (default: `"1:1 (Square)"`). | COMBO | Yes | `"1:1 (Square)"`
`"2:3 (Portrait Photo)"`
`"3:2 (Photo)"`
`"3:4 (Portrait Standard)"`
`"4:3 (Standard)"`
`"9:16 (Portrait Widescreen)"`
`"16:9 (Widescreen)"`
`"21:9 (Ultrawide)"` |
+| `megapixels` | Target total megapixels. 1.0 MP ≈ 1024x1024 for square (default: 1.0). | FLOAT | Yes | 0.1 - 16.0 |
+| `multiple` | Nearest multiple of the result to set the selected resolution to (default: 8). | INT | No | 8 - 128 (step: 4) |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
-| `width` | The calculated width in pixels, which is a multiple of 8. | INT |
-| `height` | The calculated height in pixels, which is a multiple of 8. | INT |
+|-------------|-------------|-----------|
+| `width` | Calculated width in pixels multiplied by the selected multiple. | INT |
+| `height` | Calculated height in pixels multiplied by the selected multiple. | INT |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ResolutionSelector/en.md)
---
-**Source fingerprint (SHA-256):** `7b27f0ffaaa1740a6371e53f10fa6a0ead3237ecec656b9148a2ecd11de7aaa5`
+**Source fingerprint (SHA-256):** `2060bbeb6583f09014045a19462cf22a231975831b1b3b6d9374753030857e1b`
diff --git a/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md b/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md
index 14f3e2299..d4f9a7771 100644
--- a/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md
+++ b/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md
@@ -1,3 +1,5 @@
+# Reve Image Create Node
+
The Reve Image Create node generates images from text descriptions using the Reve AI model. It sends a text prompt to the Reve API and returns the generated image. You can control the image's aspect ratio and apply optional post-processing effects like upscaling and background removal.
## Inputs
@@ -5,15 +7,12 @@ The Reve Image Create node generates images from text descriptions using the Rev
| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `prompt` | Text description of the desired image. Maximum 2560 characters. | STRING | Yes | N/A |
-| `model` | Model version to use for generation. The aspect ratio is selected from the available options within this parameter. | COMBO | Yes | `"reve-create@20250915"` |
-| `aspect_ratio` | The desired aspect ratio for the generated image. | COMBO | Yes | `"3:2"`
`"16:9"`
`"9:16"`
`"2:3"`
`"4:3"`
`"3:4"`
`"1:1"` |
-| `test_time_scaling` | Enables or disables test-time scaling, which can improve image quality at the cost of longer generation time. | COMBO | Yes | `"disabled"`
`"enabled"` |
+| `model` | Model version to use for generation. Includes aspect ratio selection within this parameter. | COMBO | Yes | `"reve-create@20250915"` |
+| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. Default: 0. | INT | No | 0 to 2147483647 |
| `upscale` | Enables or disables the upscaling post-processing step. When enabled, you must also select an upscale factor. | COMBO | No | `"disabled"`
`"enabled"` |
-| `upscale_factor` | The factor by which to increase the image's resolution. This parameter is only active when `upscale` is set to `"enabled"`. | COMBO | No | `2`
`3`
`4` |
| `remove_background` | When enabled, applies a background removal post-processing step to the generated image. | BOOLEAN | No | N/A |
-| `seed` | A seed value that controls whether the node should re-run. Note: Results are non-deterministic regardless of the seed value. Default: 0. | INT | No | 0 to 2147483647 |
-**Note:** The `upscale_factor` parameter is dependent on the `upscale` parameter being set to `"enabled"`. The `seed` parameter does not guarantee deterministic outputs.
+**Note:** The `seed` parameter does not guarantee deterministic outputs. The `upscale` parameter controls whether upscaling is applied as a post-processing step.
## Outputs
@@ -24,4 +23,4 @@ The Reve Image Create node generates images from text descriptions using the Rev
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageCreateNode/en.md)
---
-**Source fingerprint (SHA-256):** `69c81413cb345b7ecd92055e244f89d5b33f2bd67ee83e4225dd7c2168b55d5a`
+**Source fingerprint (SHA-256):** `d4e233fb94afa248503ec34fc4c1d4de48759c33632b35e139083e34929cecf3`
diff --git a/comfyui_embedded_docs/docs/ReveImageEditNode/en.md b/comfyui_embedded_docs/docs/ReveImageEditNode/en.md
index d4abf137c..49c732873 100644
--- a/comfyui_embedded_docs/docs/ReveImageEditNode/en.md
+++ b/comfyui_embedded_docs/docs/ReveImageEditNode/en.md
@@ -1,9 +1,11 @@
+# Reve Image Edit Node
+
The Reve Image Edit node allows you to modify an existing image based on a text description. It uses the Reve API to interpret your instructions and apply the requested changes to the image you provide.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The image to edit. | IMAGE | Yes | - |
| `edit_instruction` | Text description of how to edit the image. Maximum 2560 characters. | STRING | Yes | - |
| `model` | Model version to use for editing. | MODEL | Yes | `"reve-edit@20250915"`
`"reve-edit-fast@20251030"` |
@@ -19,10 +21,10 @@ The Reve Image Edit node allows you to modify an existing image based on a text
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The edited image generated based on the instruction. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageEditNode/en.md)
---
-**Source fingerprint (SHA-256):** `21fbe9e23e952eb0132d31a295505a38a6d3640396865d00b999135d0722166f`
+**Source fingerprint (SHA-256):** `067ef57802f549bc475c07eed43b14e567d6a0bdacd468825f084846b7cfddfd`
diff --git a/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md b/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md
index 91a7ded1c..17b44eeb8 100644
--- a/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md
+++ b/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md
@@ -1,9 +1,11 @@
+# Reve Image Remix
+
The Reve Image Remix node uses the Reve API to generate a new image. It combines one or more reference images with a text prompt to create a new, remixed image based on the provided description.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `reference_images` | One or more reference images to use as a base for the remix. You can add between 1 and 6 images. | IMAGE | Yes | 1 to 6 images |
| `prompt` | A text description of the desired image. You can include XML `![]()
` tags to reference specific images by their index (e.g., `![]()
0`, `![]()
1`). (default: empty) | STRING | Yes | 1 to 2560 characters |
| `model` | The model version to use for remixing. Each model option includes configurable aspect ratios and test-time scaling. | COMBO | Yes | `reve-remix@20250915`
`reve-remix-fast@20251030` |
@@ -16,10 +18,10 @@ The Reve Image Remix node uses the Reve API to generate a new image. It combines
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The new image generated by the Reve remix process. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ReveImageRemixNode/en.md)
---
-**Source fingerprint (SHA-256):** `eb69d653812ecd63c66be9290233a820a4d0145bdd5be1e23601d8cdd5eb228a`
+**Source fingerprint (SHA-256):** `095e286f5badcdc1cdc034b2b91545f136f37550819888ac19d7ac808aec7641`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md b/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md
index 357982607..1a9f1c8f6 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md
@@ -1,9 +1,11 @@
+# Rodin 3D Detail Node
+
The Rodin 3D Detail node generates detailed 3D assets using the Rodin API. It takes input images and processes them through the Rodin service to create high-quality 3D models with detailed geometry and materials. The node handles the entire workflow from task creation to downloading the final 3D model file.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `Images` | Input images used for 3D model generation. A minimum of 1 image is required, and a maximum of 5 images can be provided. | IMAGE | Yes | - |
| `Seed` | Random seed value for reproducible results (default: 0) | INT | No | 0 to 65535 |
| `Material_Type` | Type of material to apply to the 3D model (default: "PBR") | STRING | No | `"PBR"`
`"Shaded"` |
@@ -12,11 +14,11 @@ The Rodin 3D Detail node generates detailed 3D assets using the Rodin API. It ta
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `3D Model Path` | File path to the generated 3D model (for backward compatibility only) | STRING |
| `GLB` | The generated 3D model in GLB format | FILE3DGLB |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Detail/en.md)
---
-**Source fingerprint (SHA-256):** `ccdee80eb972c13a8849488080c08ba7276cec0b77a2089c7a9ad5b8adc5937b`
+**Source fingerprint (SHA-256):** `941265733c20d27d67621a83a05be822731696f4dd376299510d4279a35f51ee`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md b/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md
index a996606f1..1495d4be0 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md
@@ -1,9 +1,11 @@
+# Rodin3D_Gen2 Node Documentation
+
The Rodin3D_Gen2 node generates 3D assets using the Rodin API. It takes input images and converts them into 3D models with various material types and polygon counts. The node handles the entire generation process including task creation, status polling, and file downloading automatically.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `Images` | Input images to use for 3D model generation. Accepts 1 to 5 images. | IMAGE | Yes | - |
| `Seed` | Random seed value for generation (default: 0) | INT | No | 0-65535 |
| `Material_Type` | Type of material to apply to the 3D model (default: "PBR") | COMBO | No | "PBR"
"Shaded" |
@@ -13,11 +15,11 @@ The Rodin3D_Gen2 node generates 3D assets using the Rodin API. It takes input im
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `3D Model Path` | File path to the generated 3D model (for backward compatibility) | STRING |
| `GLB` | The generated 3D model in GLB format | FILE3DGLB |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen2/en.md)
---
-**Source fingerprint (SHA-256):** `98e183ba480d2ef8dc1930132ea4edf83481cf6bf7ee18a22972b71dd532c7ea`
+**Source fingerprint (SHA-256):** `6ee8b52152e84cca48c7875ce066ab19805a42e5cccc84865c6027a4f6fd3b16`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md
index ce52adb2f..551a81dae 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md
@@ -1,3 +1,5 @@
+# ComfyUI Node Documentation: Rodin3D_Gen25_Image
+
## Overview
This node generates a 3D model from one to five reference images using the Rodin Gen-2.5 API. You can choose between Fast, Regular, or Extreme-High quality modes to balance generation speed and cost.
@@ -5,7 +7,7 @@ This node generates a 3D model from one to five reference images using the Rodin
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `images` | One to five input images. The first image is used for materials when multiple images are provided. | IMAGE | Yes | 1 to 5 images |
| `mode` | The generation quality mode. Higher quality modes produce better results but cost more. | COMBO | Yes | `"Fast"`
`"Regular"`
`"Extreme-High"` |
| `material` | The material type for the generated 3D model. | COMBO | Yes | `"PBR"`
`"Matte"` |
@@ -27,10 +29,10 @@ This node generates a 3D model from one to five reference images using the Rodin
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The generated 3D model file in the selected geometry format. | FILE3D |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Image/en.md)
---
-**Source fingerprint (SHA-256):** `65f755a2c3bd2317eb61c4681a406b51b06f960e36864d3602c3d03a44aa4878`
+**Source fingerprint (SHA-256):** `6437f8d34624fccfb92505bcdc627db2df2f4159c929a4f7b00352906c609a25`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md
index 050a1ace6..f09ae8372 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md
@@ -1,3 +1,5 @@
+# ComfyUI Node Documentation: Rodin3D_Gen25_Text
+
## Overview
Generate a 3D model from a text prompt using the Rodin Gen-2.5 API. You can choose between different quality modes (Fast, Regular, or Extreme-High) to balance generation speed and output quality.
@@ -5,8 +7,8 @@ Generate a 3D model from a text prompt using the Rodin Gen-2.5 API. You can choo
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `prompt` | Text prompt describing the 3D model you want to generate. | STRING | Yes | Max 2500 characters |
+|-----------|-------------|-----------|----------|-------|
+| `prompt` | Text prompt for the 3D model. | STRING | Yes | 1 to 2500 characters |
| `mode` | The generation quality and speed mode. "Fast" is quickest, "Extreme-High" produces the highest quality but takes longer. | COMBO | Yes | `"Fast"`
`"Regular"`
`"Extreme-High"` |
| `material` | The material style for the generated 3D model. | COMBO | Yes | `"PBR"`
`"Matte"`
`"Shiny"` |
| `geometry_file_format` | The file format for the output 3D model. | COMBO | Yes | `"glb"`
`"obj"`
`"stl"`
`"usdz"` |
@@ -26,10 +28,10 @@ Generate a 3D model from a text prompt using the Rodin Gen-2.5 API. You can choo
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The generated 3D model file in the specified format. | FILE3DANY |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Gen25_Text/en.md)
---
-**Source fingerprint (SHA-256):** `79fbaf466e9af88cdfdac0f9136a2df17ba4bc2e5bb65a35b9ad2b1181da94db`
+**Source fingerprint (SHA-256):** `7e71532203290e21e13d345b09330a1c00aff9d3754e63f5eff65f37f3fa2403`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md b/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md
index 29c54a210..c2318ee9a 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md
@@ -1,13 +1,15 @@
+# ComfyUI Node Documentation: Rodin3D_Regular
+
The Rodin 3D Regular node generates 3D assets using the Rodin API. It takes input images and processes them through the Rodin service to create 3D models. The node handles the entire workflow from task creation to downloading the final 3D model files.
## Inputs
| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
-| `Images` | Input images used for 3D model generation. Up to 5 images can be provided. | IMAGE | Yes | - |
+| `Images` | Input images used for 3D model generation. Up to 5 images can be provided. At least 1 image is required. | IMAGE | Yes | - |
| `Seed` | Random seed value for reproducible results (default: 0). | INT | No | 0 to 65535 |
| `Material_Type` | Type of material to apply to the 3D model (default: "PBR"). | STRING | No | `"PBR"`
`"Shaded"` |
-| `Polygon_count` | Target polygon count and mesh type for the generated 3D model (default: "18K-Quad"). | STRING | No | `"4K-Quad"`
`"8K-Quad"`
`"18K-Quad"`
`"50K-Quad"`
`"200K-Triangle"` |
+| `Polygon_count` | Target polygon count and mesh type for the generated 3D model (default: "18K-Quad"). | STRING | No | `"4K-Quad"`
`"8K-Quad"`
`"18K-Quad"`
`"50K-Quad"
`"200K-Triangle"` |
**Note:** At least 1 image is required for 3D model generation. A maximum of 5 images can be provided.
@@ -21,4 +23,4 @@ The Rodin 3D Regular node generates 3D assets using the Rodin API. It takes inpu
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Regular/en.md)
---
-**Source fingerprint (SHA-256):** `5d65be9cb92da615690df5665ca02c98e98e95510e002502a33fd869c31e7419`
+**Source fingerprint (SHA-256):** `e0bd8ef311f33481fec877801dea80302eba076f2d9e12f52467e889242a9637`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md b/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md
index 4212ad793..df205c55d 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md
@@ -1,9 +1,11 @@
+# ComfyUI Node Documentation: Rodin3D_Sketch
+
This node generates 3D assets using the Rodin API. It takes input images and converts them into 3D models through an external service. The node handles the entire process from task creation to downloading the final 3D model files.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `Images` | Input images to be converted into 3D models. You can provide between 1 and 5 images. | IMAGE | Yes | 1 to 5 images |
| `Seed` | Random seed value for generation (default: 0). Set to 0 for a random seed. | INT | No | 0 to 65535 |
@@ -12,11 +14,11 @@ This node generates 3D assets using the Rodin API. It takes input images and con
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `3D Model Path` | File path to the generated 3D model (for backward compatibility only) | STRING |
| `GLB` | The generated 3D model in GLB format | FILE3DGLB |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Sketch/en.md)
---
-**Source fingerprint (SHA-256):** `7030e6966a13b62055a17fc1eb39f34aa228fa37bbdcf7c2d5dbbbc1ca96c819`
+**Source fingerprint (SHA-256):** `0b77ce871e267450af63f3e2fe0e36fe81ababc25cbb11498546ad8f487b65e5`
diff --git a/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md b/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md
index 6960ac2d6..8008836b9 100644
--- a/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md
+++ b/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md
@@ -1,9 +1,11 @@
+# Rodin 3D Generate - Smooth Generate
+
The Rodin 3D Smooth node generates 3D assets using the Rodin API by processing input images and converting them into smooth 3D models. It takes multiple images as input and produces a downloadable 3D model file. The node handles the entire generation process including task creation, status polling, and file downloading automatically.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `Images` | Input images to use for 3D model generation. Multiple images can be provided (up to 5). | IMAGE | Yes | - |
| `Seed` | Random seed value for generation consistency (default: 0). | INT | No | 0 to 65535 |
| `Material_Type` | Type of material to apply to the 3D model (default: "PBR"). | STRING | No | "PBR"
"Shaded" |
@@ -14,11 +16,11 @@ The Rodin 3D Smooth node generates 3D assets using the Rodin API by processing i
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `3D Model Path` | File path to the downloaded 3D model (for backward compatibility only). | STRING |
| `GLB` | The generated 3D model in GLB format. | FILE3DGLB |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Rodin3D_Smooth/en.md)
---
-**Source fingerprint (SHA-256):** `60a5d70fa095b46f221ce452e290739852b1ebeba34ab7ec21b0b4e3c8e6d164`
+**Source fingerprint (SHA-256):** `c7dc23d2a7a8e2d425fc389476ef381f4ebf974f522c6e3774222866eee064e9`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ar.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ar.md
new file mode 100644
index 000000000..74b65f493
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ar.md
@@ -0,0 +1,31 @@
+# عقدة الإطار المفتاحي Runway Aleph2
+
+ترسي هذه العقدة صورة توجيهية في لحظة محددة من فيديو الإدخال الخاص بك، مما يسمح لنموذج Aleph2 بتوجيه التعديل عند تلك النقطة في المقطع. قم بتوصيل هذه العقدة بمدخل "الإطارات المفتاحية" لعقدة Runway Aleph2 للفيديو إلى الفيديو، واربط عدة عقد معًا (حتى 5 عقد) عبر المدخل الاختياري "الإطارات المفتاحية".
+
+## المدخلات
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|---------------|--------|--------|
+| `image` | الصورة التوجيهية المراد تطبيقها في اللحظة المختارة من فيديو الإدخال. | IMAGE | نعم | - |
+| `timing` | كيفية وضع هذه الصورة على الجدول الزمني لفيديو الإدخال. | COMBO | نعم | انظر أدناه |
+| `keyframes` | إطارات مفتاحية سابقة اختيارية لربطها مع هذا الإطار. | KEYFRAME | لا | - |
+
+### خيارات معامل التوقيت
+
+لمعامل `timing` وضعان:
+
+| الوضع | المعامل الفرعي | الوصف | النطاق |
+|------|--------------|-------------|--------|
+| "ثوانٍ مطلقة" | `seconds` | الوقت بالثواني من بداية فيديو الإدخال حيث تُطبق هذه الصورة (الافتراضي: 0.0) | 0.0 إلى 30.0، خطوة 0.1 |
+| "كسر من المدة" | `fraction` | موقع تطبيق هذه الصورة في فيديو الإدخال، ككسر من مدته (0.0 = البداية، 1.0 = النهاية) (الافتراضي: 0.0) | 0.0 إلى 1.0، خطوة 0.01 |
+
+## المخرجات
+
+| اسم المخرج | الوصف | نوع البيانات |
+|-------------|-------|---------------|
+| `keyframes` | سلسلة من الإطارات المفتاحية تشمل هذا الإطار وأي إطارات مفتاحية متصلة سابقًا. | KEYFRAME |
+
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ar.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/en.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/en.md
new file mode 100644
index 000000000..48043a54b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/en.md
@@ -0,0 +1,29 @@
+# Runway Aleph2 Keyframe Node
+
+This node anchors a guidance image to a specific moment of your input video, so the Aleph2 model steers the edit at that point in your footage. Connect this node to the "keyframes" input of the Runway Aleph2 Video to Video node, and chain several together (up to 5) via the optional "keyframes" input.
+
+## Inputs
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `image` | The guidance image to apply at the chosen moment of the input video. | IMAGE | Yes | - |
+| `timing` | How to place this image on the input video's timeline. | COMBO | Yes | "Absolute seconds"
"Fraction of duration" |
+| `keyframes` | Optional earlier keyframes to chain with this one. | KEYFRAME | No | - |
+
+### Timing Parameter Details
+
+The `timing` parameter has two modes:
+
+- **"Absolute seconds"**: When selected, a `seconds` sub-parameter appears. This specifies the time in seconds from the start of the input video where the image applies (default: 0.0, range: 0.0 to 30.0, step 0.1).
+- **"Fraction of duration"**: When selected, a `fraction` sub-parameter appears. This specifies where in the input video the image applies as a fraction of its duration, where 0.0 is the start and 1.0 is the end (default: 0.0, range: 0.0 to 1.0, step 0.01).
+
+## Outputs
+
+| Output Name | Description | Data Type |
+|-------------|-------------|-----------|
+| `keyframes` | A chain of keyframes including this one and any previously connected keyframes. | KEYFRAME |
+
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/en.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/es.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/es.md
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+# Nodo Runway Aleph2 Keyframe
+
+Este nodo ancla una imagen de guía a un momento específico de tu video de entrada, para que el modelo Aleph2 dirija la edición en ese punto de tu metraje. Conecta este nodo a la entrada "keyframes" del nodo Runway Aleph2 Video to Video, y encadena varios (hasta 5) mediante la entrada opcional "keyframes".
+
+## Entradas
+
+| Parámetro | Descripción | Tipo de Dato | Obligatorio | Rango |
+|-----------|-------------|--------------|-------------|-------|
+| `image` | La imagen de guía para aplicar en el momento elegido del video de entrada. | IMAGE | Sí | - |
+| `timing` | Cómo ubicar esta imagen en la línea de tiempo del video de entrada. | COMBO | Sí | Ver abajo |
+| `keyframes` | Fotogramas clave anteriores opcionales para encadenar con este. | KEYFRAME | No | - |
+
+### Opciones del Parámetro Timing
+
+El parámetro `timing` tiene dos modos:
+
+| Modo | Subparámetro | Descripción | Rango |
+|------|--------------|-------------|-------|
+| "Segundos absolutos" | `seconds` | Tiempo en segundos desde el inicio del video de entrada donde se aplica esta imagen (predeterminado: 0.0) | 0.0 a 30.0, paso 0.1 |
+| "Fracción de duración" | `fraction` | Dónde en el video de entrada se aplica esta imagen, como fracción de su duración (0.0 = inicio, 1.0 = final) (predeterminado: 0.0) | 0.0 a 1.0, paso 0.01 |
+
+## Salidas
+
+| Nombre de Salida | Descripción | Tipo de Dato |
+|------------------|-------------|--------------|
+| `keyframes` | Una cadena de fotogramas clave que incluye este y cualquier fotograma clave previamente conectado. | KEYFRAME |
+
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/es.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/fa.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/fa.md
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+# گره فریم کلیدی Runway Aleph2
+
+این گره یک تصویر راهنما را به لحظه خاصی از ویدیوی ورودی شما متصل میکند، به طوری که مدل Aleph2 ویرایش را در آن نقطه از ویدیو هدایت میکند. این گره را به ورودی "keyframes" گره Runway Aleph2 Video to Video متصل کنید و چندین عدد از آنها (حداکثر ۵ عدد) را از طریق ورودی اختیاری "keyframes" به صورت زنجیرهای به هم وصل کنید.
+
+## ورودیها
+
+| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
+|---------|---------|----------|--------|--------|
+| `image` | تصویر راهنما برای اعمال در لحظه انتخابشده از ویدیوی ورودی. | IMAGE | بله | - |
+| `timing` | نحوه قرارگیری این تصویر روی خط زمانی ویدیوی ورودی. | COMBO | بله | زیر را ببینید |
+| `keyframes` | فریمهای کلیدی قبلی (اختیاری) برای زنجیرهسازی با این فریم. | KEYFRAME | خیر | - |
+
+### گزینههای پارامتر Timing
+
+پارامتر `timing` دو حالت دارد:
+
+| حالت | زیرپارامتر | توضیحات | محدوده |
+|------|-----------|---------|--------|
+| "ثانیه مطلق" | `seconds` | زمان بر حسب ثانیه از شروع ویدیوی ورودی که این تصویر در آن اعمال میشود (پیشفرض: 0.0) | 0.0 تا 30.0، گام 0.1 |
+| "کسری از مدت" | `fraction` | موقعیت اعمال این تصویر در ویدیوی ورودی، به صورت کسری از مدت آن (0.0 = شروع، 1.0 = پایان) (پیشفرض: 0.0) | 0.0 تا 1.0، گام 0.01 |
+
+## خروجیها
+
+| نام خروجی | توضیحات | نوع داده |
+|-----------|---------|----------|
+| `keyframes` | زنجیرهای از فریمهای کلیدی شامل این فریم و هر فریم کلیدی متصل قبلی. | KEYFRAME |
+
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/fa.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/fr.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/fr.md
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+# Nœud d'Image Clé Runway Aleph2
+
+Ce nœud ancre une image de guidage à un moment spécifique de votre vidéo d'entrée, permettant au modèle Aleph2 d'orienter l'édition à cet endroit précis de votre séquence. Connectez ce nœud à l'entrée "keyframes" du nœud Runway Aleph2 Vidéo vers Vidéo, et enchaînez plusieurs exemplaires (jusqu'à 5) via l'entrée optionnelle "keyframes".
+
+## Entrées
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `image` | L'image de guidage à appliquer au moment choisi de la vidéo d'entrée. | IMAGE | Oui | - |
+| `timing` | Comment placer cette image sur la ligne temporelle de la vidéo d'entrée. | COMBO | Oui | Voir ci-dessous |
+| `keyframes` | Images clés antérieures optionnelles à chaîner avec celle-ci. | KEYFRAME | Non | - |
+
+### Options du paramètre Timing
+
+Le paramètre `timing` propose deux modes :
+
+| Mode | Sous-paramètre | Description | Plage |
+|------|----------------|-------------|-------|
+| "Secondes absolues" | `seconds` | Temps en secondes depuis le début de la vidéo d'entrée où cette image s'applique (par défaut : 0.0) | 0.0 à 30.0, pas de 0.1 |
+| "Fraction de durée" | `fraction` | Position dans la vidéo d'entrée où cette image s'applique, exprimée en fraction de sa durée (0.0 = début, 1.0 = fin) (par défaut : 0.0) | 0.0 à 1.0, pas de 0.01 |
+
+## Sorties
+
+| Nom de sortie | Description | Type de données |
+|---------------|-------------|-----------------|
+| `keyframes` | Une chaîne d'images clés incluant celle-ci et toutes les images clés précédemment connectées. | KEYFRAME |
+
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/fr.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ja.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ja.md
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+# Runway Aleph2 キーフレームノード
+
+このノードは、ガイダンス画像を入力動画の特定の瞬間に固定します。これにより、Aleph2モデルはその時点で編集を誘導します。このノードをRunway Aleph2 Video to Videoノードの「keyframes」入力に接続し、オプションの「keyframes」入力を介して複数（最大5つ）をチェーン接続します。
+
+## 入力
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `image` | 入力動画の選択した瞬間に適用するガイダンス画像です。 | IMAGE | はい | - |
+| `timing` | この画像を入力動画のタイムライン上に配置する方法です。 | COMBO | はい | 下記参照 |
+| `keyframes` | このキーフレームとチェーン接続する、オプションの先行キーフレームです。 | KEYFRAME | いいえ | - |
+
+### Timing パラメータのオプション
+
+`timing` パラメータには2つのモードがあります：
+
+| モード | サブパラメータ | 説明 | 範囲 |
+|------|--------------|-------------|-------|
+| "Absolute seconds"（絶対秒数） | `seconds` | この画像が適用される入力動画の開始からの時間（秒）（デフォルト：0.0） | 0.0 ～ 30.0、ステップ 0.1 |
+| "Fraction of duration"（再生時間に対する割合） | `fraction` | この画像が適用される入力動画内の位置を、再生時間に対する割合で指定（0.0 = 開始、1.0 = 終了）（デフォルト：0.0） | 0.0 ～ 1.0、ステップ 0.01 |
+
+## 出力
+
+| 出力名 | 説明 | データ型 |
+|-------------|-------------|-----------|
+| `keyframes` | このキーフレームと、以前に接続されたキーフレームを含むキーフレームのチェーンです。 | KEYFRAME |
+
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ja.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ko.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ko.md
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+# Runway Aleph2 키프레임 노드
+
+이 노드는 입력 비디오의 특정 시점에 가이던스 이미지를 고정하여, Aleph2 모델이 해당 지점에서 편집을 수행하도록 안내합니다. 이 노드를 Runway Aleph2 비디오 투 비디오 노드의 "keyframes" 입력에 연결하고, 선택적 "keyframes" 입력을 통해 여러 개(최대 5개)를 함께 연결할 수 있습니다.
+
+## 입력
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `image` | 입력 비디오의 선택된 시점에 적용할 가이던스 이미지입니다. | IMAGE | 예 | - |
+| `timing` | 이 이미지를 입력 비디오의 타임라인에 배치하는 방법입니다. | COMBO | 예 | 아래 참조 |
+| `keyframes` | 이 키프레임과 함께 연결할 선택적 이전 키프레임입니다. | KEYFRAME | 아니요 | - |
+
+### Timing 매개변수 옵션
+
+`timing` 매개변수는 두 가지 모드가 있습니다:
+
+| 모드 | 하위 매개변수 | 설명 | 범위 |
+|------|--------------|-------------|-------|
+| "절대 초" | `seconds` | 이 이미지가 적용되는 입력 비디오 시작부터의 시간(초)입니다(기본값: 0.0) | 0.0 ~ 30.0, 간격 0.1 |
+| "길이 분수" | `fraction` | 이 이미지가 적용되는 입력 비디오 내 위치로, 전체 길이에 대한 분수입니다(0.0 = 시작, 1.0 = 끝)(기본값: 0.0) | 0.0 ~ 1.0, 간격 0.01 |
+
+## 출력
+
+| 출력 이름 | 설명 | 데이터 타입 |
+|-------------|-------------|-----------|
+| `keyframes` | 현재 키프레임과 이전에 연결된 모든 키프레임을 포함하는 키프레임 체인입니다. | KEYFRAME |
+
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ko.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/pt-BR.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/pt-BR.md
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@@ -0,0 +1,31 @@
+# Nó de Keyframe Runway Aleph2
+
+Este nó ancora uma imagem de guia a um momento específico do seu vídeo de entrada, para que o modelo Aleph2 direcione a edição naquele ponto do seu material. Conecte este nó à entrada "keyframes" do nó Runway Aleph2 Video to Video e encadeie vários deles (até 5) através da entrada opcional "keyframes".
+
+## Entradas
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-----------|--------------|-------------|-------|
+| `image` | A imagem de guia a ser aplicada no momento escolhido do vídeo de entrada. | IMAGE | Sim | - |
+| `timing` | Como posicionar esta imagem na linha do tempo do vídeo de entrada. | COMBO | Sim | Ver abaixo |
+| `keyframes` | Keyframes anteriores opcionais para encadear com este. | KEYFRAME | Não | - |
+
+### Opções do Parâmetro Timing
+
+O parâmetro `timing` possui dois modos:
+
+| Modo | Subparâmetro | Descrição | Faixa |
+|------|--------------|-----------|-------|
+| "Segundos absolutos" | `seconds` | Tempo em segundos a partir do início do vídeo de entrada onde esta imagem se aplica (padrão: 0,0) | 0,0 a 30,0, passo 0,1 |
+| "Fração da duração" | `fraction` | Onde no vídeo de entrada esta imagem se aplica, como uma fração de sua duração (0,0 = início, 1,0 = fim) (padrão: 0,0) | 0,0 a 1,0, passo 0,01 |
+
+## Saídas
+
+| Nome da Saída | Descrição | Tipo de Dado |
+|---------------|-----------|--------------|
+| `keyframes` | Uma cadeia de keyframes incluindo este e quaisquer keyframes previamente conectados. | KEYFRAME |
+
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/pt-BR.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ru.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ru.md
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+# Узел ключевых кадров Runway Aleph2
+
+Этот узел привязывает изображение-ориентир к определенному моменту вашего входного видео, чтобы модель Aleph2 направляла редактирование в этой точке вашего материала. Подключите этот узел к входу "keyframes" узла Runway Aleph2 Video to Video и объедините несколько таких узлов в цепочку (до 5) через опциональный вход "keyframes".
+
+## Входные параметры
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `image` | Изображение-ориентир для применения в выбранный момент входного видео. | IMAGE | Да | - |
+| `timing` | Способ размещения этого изображения на временной шкале входного видео. | COMBO | Да | См. ниже |
+| `keyframes` | Опциональные предыдущие ключевые кадры для объединения с текущим. | KEYFRAME | Нет | - |
+
+### Параметры режима Timing
+
+Параметр `timing` имеет два режима:
+
+| Режим | Подпараметр | Описание | Диапазон |
+|-------|-------------|----------|----------|
+| "Абсолютные секунды" | `seconds` | Время в секундах от начала входного видео, где применяется это изображение (по умолчанию: 0.0) | от 0.0 до 30.0, шаг 0.1 |
+| "Доля длительности" | `fraction` | Место во входном видео, где применяется это изображение, в виде доли от его длительности (0.0 = начало, 1.0 = конец) (по умолчанию: 0.0) | от 0.0 до 1.0, шаг 0.01 |
+
+## Выходные параметры
+
+| Имя выхода | Описание | Тип данных |
+|------------|----------|------------|
+| `keyframes` | Цепочка ключевых кадров, включающая текущий и все ранее подключенные ключевые кадры. | KEYFRAME |
+
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/ru.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/tr.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/tr.md
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@@ -0,0 +1,31 @@
+# Runway Aleph2 Ana Kare Düğümü
+
+Bu düğüm, bir yönlendirme görüntüsünü giriş videonuzun belirli bir anına sabitler, böylece Aleph2 modeli düzenlemeyi görüntünüzdeki o noktaya yönlendirir. Bu düğümü Runway Aleph2 Video'dan Video'ya düğümünün "keyframes" girişine bağlayın ve isteğe bağlı "keyframes" girişi aracılığıyla birkaçını (en fazla 5) birbirine zincirleyin.
+
+## Girişler
+
+| Parametre | Açıklama | Veri Türü | Gerekli | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `image` | Giriş videosunun seçilen anında uygulanacak yönlendirme görüntüsü. | IMAGE | Evet | - |
+| `timing` | Bu görüntünün giriş videosunun zaman çizelgesine nasıl yerleştirileceği. | COMBO | Evet | Aşağıya bakın |
+| `keyframes` | Bu ana kareyle zincirlenecek isteğe bağlı önceki ana kareler. | KEYFRAME | Hayır | - |
+
+### Zamanlama Parametre Seçenekleri
+
+`timing` parametresinin iki modu vardır:
+
+| Mod | Alt parametre | Açıklama | Aralık |
+|-----|---------------|----------|--------|
+| "Mutlak saniye" | `seconds` | Bu görüntünün uygulandığı, giriş videosunun başlangıcından itibaren saniye cinsinden süre (varsayılan: 0.0) | 0.0 ila 30.0, adım 0.1 |
+| "Sürenin kesri" | `fraction` | Bu görüntünün uygulandığı, giriş videosundaki konum, süresinin bir kesri olarak (0.0 = başlangıç, 1.0 = bitiş) (varsayılan: 0.0) | 0.0 ila 1.0, adım 0.01 |
+
+## Çıktılar
+
+| Çıktı Adı | Açıklama | Veri Türü |
+|-----------|----------|-----------|
+| `keyframes` | Bu ana kareyi ve önceden bağlanmış tüm ana kareleri içeren bir ana kare zinciri. | KEYFRAME |
+
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/tr.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/zh-TW.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/zh-TW.md
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+# Runway Aleph2 關鍵幀節點
+
+此節點將引導圖像錨定到輸入影片的特定時刻，讓 Aleph2 模型在該時間點引導編輯。將此節點連接到 Runway Aleph2 影片轉影片節點的「keyframes」輸入，並透過可選的「keyframes」輸入將多個節點串聯在一起（最多 5 個）。
+
+## ## 輸入
+
+| 參數 | 說明 | 資料類型 | 必要 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `image` | 要在輸入影片的選定時刻套用的引導圖像。 | IMAGE | 是 | - |
+| `timing` | 如何將此圖像放置在輸入影片的時間軸上。 | COMBO | 是 | 見下方 |
+| `keyframes` | 可選的先前關鍵幀，可與此關鍵幀串聯。 | KEYFRAME | 否 | - |
+
+### 時間參數選項
+
+`timing` 參數有兩種模式：
+
+| 模式 | 子參數 | 說明 | 範圍 |
+|------|--------------|-------------|-------|
+| "絕對秒數" | `seconds` | 從輸入影片開始到套用此圖像的秒數（預設值：0.0） | 0.0 至 30.0，步長 0.1 |
+| "持續時間比例" | `fraction` | 此圖像在輸入影片中的位置，以其持續時間的比例表示（0.0 = 開始，1.0 = 結束）（預設值：0.0） | 0.0 至 1.0，步長 0.01 |
+
+## ## 輸出
+
+| 輸出名稱 | 說明 | 資料類型 |
+|-------------|-------------|-----------|
+| `keyframes` | 包含此關鍵幀及任何先前連接的關鍵幀的關鍵幀鏈。 | KEYFRAME |
+
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/zh-TW.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/zh.md b/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/zh.md
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+# Runway Aleph2 关键帧节点
+
+此节点将引导图像锚定到输入视频的特定时刻，使 Aleph2 模型在视频的该点引导编辑效果。将此节点连接到 Runway Aleph2 视频到视频节点的"keyframes"输入，并通过可选的"keyframes"输入将多个节点（最多 5 个）串联在一起。
+
+## ## 输入
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `image` | 在输入视频的选定时刻应用的引导图像。 | IMAGE | 是 | - |
+| `timing` | 如何将此图像放置在输入视频的时间线上。 | COMBO | 是 | 见下文 |
+| `keyframes` | 可选的先前关键帧，用于与此关键帧串联。 | KEYFRAME | 否 | - |
+
+### 时序参数选项
+
+`timing` 参数有两种模式：
+
+| 模式 | 子参数 | 描述 | 范围 |
+|------|--------------|-------------|-------|
+| "绝对秒数" | `seconds` | 从输入视频开始到此图像应用的时间（秒）（默认值：0.0） | 0.0 到 30.0，步长 0.1 |
+| "时长比例" | `fraction` | 此图像在输入视频中应用的位置，以其时长的比例表示（0.0 = 开始，1.0 = 结束）（默认值：0.0） | 0.0 到 1.0，步长 0.01 |
+
+## ## 输出
+
+| 输出名称 | 描述 | 数据类型 |
+|-------------|-------------|-----------|
+| `keyframes` | 包含此关键帧及任何先前连接的关键帧的关键帧链。 | KEYFRAME |
+
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2KeyframeNode/zh.md)
+
+---
+**Source fingerprint (SHA-256):** `b5ac6553166b7366fd35f97740861be163f91bc2353f5f83bdc2f04bf40f8478`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ar.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ar.md
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+# عقدة صورة موجه Runway Aleph2
+
+تربط هذه العقدة صورة توجيه بلحظة محددة في الفيديو الناتج، مما يتحكم في شكل الفيديو المُعدَّل عند تلك النقطة. قم بتوصيل هذه العقدة بمدخل `prompt_images` الخاص بعقدة Runway Aleph2 فيديو إلى فيديو، واربط عدة عقد معًا (حتى 5) باستخدام مدخل `prompt_images` الاختياري.
+
+## المدخلات
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|---------------|---------|--------|
+| `image` | صورة التوجيه التي سيتم وضعها في اللحظة المختارة من الفيديو الناتج. | IMAGE | نعم | - |
+| `position` | كيفية وضع هذه الصورة على الخط الزمني للفيديو الناتج. اختر بين التوقيت المطلق (ثوانٍ من البداية) أو التوقيت النسبي (نسبة مئوية من مدة الفيديو). | COMBO | نعم | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | صور موجه سابقة اختيارية لربطها مع هذه الصورة. قم بتوصيل مخرج عقدة صورة موجه Runway Aleph2 أخرى هنا لبناء سلسلة من صور التوجيه حتى 5 صور. | PROMPT_IMAGE_CHAIN | لا | - |
+
+**تفاصيل وضع الموضع:**
+
+عند تعيين `position` إلى `Absolute (seconds)`، يجب توفير قيمة `seconds` (القيمة الافتراضية: 0.0، النطاق: 0.0 إلى 30.0، الخطوة: 0.1). يحدد هذا الوقت المحدد بالثواني من بداية الفيديو الناتج حيث تُطبَّق هذه الصورة.
+
+عند تعيين `position` إلى `Fraction (0.0 to 1.0)`، يجب توفير قيمة `fraction` (القيمة الافتراضية: 0.0، النطاق: 0.0 إلى 1.0، الخطوة: 0.01). يحدد هذا مكان تطبيق هذه الصورة في الفيديو الناتج ككسر من مدته الإجمالية (0.0 = البداية، 1.0 = النهاية).
+
+## المخرجات
+
+| اسم المخرج | الوصف | نوع البيانات |
+|------------|-------|---------------|
+| `prompt_images` | سلسلة من صور الموجه يمكن توصيلها بمدخل `prompt_images` الخاص بعقدة Runway Aleph2 فيديو إلى فيديو. | PROMPT_IMAGE_CHAIN |
+
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ar.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/en.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/en.md
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+# Runway Aleph2 Prompt Image
+
+This node anchors a guidance image to a specific moment in the output video, controlling what the edited video looks like at that point. Connect this node to the `prompt_images` input of the Runway Aleph2 Video to Video node, and chain several together (up to 5) using the optional `prompt_images` input.
+
+## Inputs
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `image` | The guidance image to place at the chosen moment of the output video. | IMAGE | Yes | - |
+| `position` | How to place this image on the output video's timeline. Choose between absolute timing (seconds from start) or fractional timing (percentage of video duration). | COMBO | Yes | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | Optional earlier prompt images to chain with this one. Connect the output of another Runway Aleph2 Prompt Image node here to build a chain of up to 5 guidance images. | PROMPT_IMAGE_CHAIN | No | - |
+
+**Position Mode Details:**
+
+When `position` is set to `Absolute (seconds)`, you must provide a `seconds` value (default: 0.0, range: 0.0 to 30.0, step: 0.1). This specifies the exact time in seconds from the start of the output video where this image applies.
+
+When `position` is set to `Fraction (0.0 to 1.0)`, you must provide a `fraction` value (default: 0.0, range: 0.0 to 1.0, step: 0.01). This specifies where in the output video this image applies as a fraction of its total duration (0.0 = start, 1.0 = end).
+
+## Outputs
+
+| Output Name | Description | Data Type |
+|-------------|-------------|-----------|
+| `prompt_images` | A chain of prompt images that can be connected to the `prompt_images` input of the Runway Aleph2 Video to Video node. | PROMPT_IMAGE_CHAIN |
+
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/en.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/es.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/es.md
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+# Runway Aleph2 Prompt Image
+
+Este nodo fija una imagen guía en un momento específico del video de salida, controlando el aspecto del video editado en ese punto. Conecte este nodo a la entrada `prompt_images` del nodo Runway Aleph2 Video to Video, y encadene varios juntos (hasta 5) usando la entrada opcional `prompt_images`.
+
+## Entradas
+
+| Parámetro | Descripción | Tipo de Dato | Requerido | Rango |
+|-----------|-------------|-----------|----------|-------|
+| `image` | La imagen guía para colocar en el momento elegido del video de salida. | IMAGE | Sí | - |
+| `position` | Cómo ubicar esta imagen en la línea de tiempo del video de salida. Elija entre temporización absoluta (segundos desde el inicio) o temporización fraccionaria (porcentaje de la duración del video). | COMBO | Sí | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | Imágenes guía anteriores opcionales para encadenar con esta. Conecte aquí la salida de otro nodo Runway Aleph2 Prompt Image para construir una cadena de hasta 5 imágenes guía. | PROMPT_IMAGE_CHAIN | No | - |
+
+**Detalles del Modo de Posición:**
+
+Cuando `position` está configurado en `Absolute (seconds)`, debe proporcionar un valor de `seconds` (predeterminado: 0.0, rango: 0.0 a 30.0, paso: 0.1). Esto especifica el tiempo exacto en segundos desde el inicio del video de salida donde se aplica esta imagen.
+
+Cuando `position` está configurado en `Fraction (0.0 to 1.0)`, debe proporcionar un valor de `fraction` (predeterminado: 0.0, rango: 0.0 a 1.0, paso: 0.01). Esto especifica dónde en el video de salida se aplica esta imagen como una fracción de su duración total (0.0 = inicio, 1.0 = final).
+
+## Salidas
+
+| Nombre de Salida | Descripción | Tipo de Dato |
+|-------------|-------------|-----------|
+| `prompt_images` | Una cadena de imágenes guía que puede conectarse a la entrada `prompt_images` del nodo Runway Aleph2 Video to Video. | PROMPT_IMAGE_CHAIN |
+
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/es.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/fa.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/fa.md
new file mode 100644
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@@ -0,0 +1,28 @@
+# Runway Aleph2 Prompt Image
+
+این گره یک تصویر راهنما را به لحظهای مشخص در ویدیوی خروجی متصل میکند و ظاهر ویدیوی ویرایششده را در آن نقطه کنترل میکند. این گره را به ورودی `prompt_images` گره Runway Aleph2 Video to Video متصل کنید و با استفاده از ورودی اختیاری `prompt_images`، چندین گره را (تا ۵ عدد) به صورت زنجیرهای به هم وصل کنید.
+
+## ورودیها
+
+| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
+|---------|---------|----------|--------|--------|
+| `image` | تصویر راهنمایی که در لحظه انتخابشده از ویدیوی خروجی قرار میگیرد. | IMAGE | بله | - |
+| `position` | نحوه قرارگیری این تصویر در خط زمانی ویدیوی خروجی. بین زمانبندی مطلق (ثانیه از شروع) یا زمانبندی کسری (درصدی از مدت ویدیو) انتخاب کنید. | COMBO | بله | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | تصاویر راهنمای اختیاری قبلی برای زنجیرهسازی با این تصویر. خروجی گره Runway Aleph2 Prompt Image دیگر را برای ساخت زنجیرهای از حداکثر ۵ تصویر راهنما به اینجا متصل کنید. | PROMPT_IMAGE_CHAIN | خیر | - |
+
+**جزئیات حالت موقعیت:**
+
+هنگامی که `position` روی `Absolute (seconds)` تنظیم شود، باید یک مقدار `seconds` ارائه دهید (پیشفرض: 0.0، محدوده: 0.0 تا 30.0، گام: 0.1). این مقدار زمان دقیق بر حسب ثانیه از شروع ویدیوی خروجی را مشخص میکند که این تصویر در آن اعمال میشود.
+
+هنگامی که `position` روی `Fraction (0.0 to 1.0)` تنظیم شود، باید یک مقدار `fraction` ارائه دهید (پیشفرض: 0.0، محدوده: 0.0 تا 1.0، گام: 0.01). این مقدار موقعیت اعمال تصویر در ویدیوی خروجی را به صورت کسری از مدت کل آن مشخص میکند (0.0 = شروع، 1.0 = پایان).
+
+## خروجیها
+
+| نام خروجی | توضیحات | نوع داده |
+|-----------|---------|----------|
+| `prompt_images` | زنجیرهای از تصاویر راهنما که میتواند به ورودی `prompt_images` گره Runway Aleph2 Video to Video متصل شود. | PROMPT_IMAGE_CHAIN |
+
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/fa.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/fr.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/fr.md
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@@ -0,0 +1,28 @@
+# Runway Aleph2 Prompt Image
+
+Ce nœud ancre une image de guidage à un moment spécifique de la vidéo de sortie, contrôlant l'apparence de la vidéo éditée à cet instant. Connectez ce nœud à l'entrée `prompt_images` du nœud Runway Aleph2 Video to Video, et enchaînez plusieurs instances (jusqu'à 5) en utilisant l'entrée optionnelle `prompt_images`.
+
+## Entrées
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `image` | L'image de guidage à placer au moment choisi de la vidéo de sortie. | IMAGE | Oui | - |
+| `position` | Comment placer cette image sur la timeline de la vidéo de sortie. Choisissez entre un minutage absolu (secondes depuis le début) ou un minutage fractionnaire (pourcentage de la durée vidéo). | COMBO | Oui | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | Images de guidage optionnelles antérieures à chaîner avec celle-ci. Connectez la sortie d'un autre nœud Runway Aleph2 Prompt Image ici pour construire une chaîne allant jusqu'à 5 images de guidage. | PROMPT_IMAGE_CHAIN | Non | - |
+
+**Détails du mode Position :**
+
+Lorsque `position` est défini sur `Absolute (seconds)`, vous devez fournir une valeur `seconds` (par défaut : 0.0, plage : 0.0 à 30.0, pas : 0.1). Cela spécifie le moment exact en secondes depuis le début de la vidéo de sortie où cette image s'applique.
+
+Lorsque `position` est défini sur `Fraction (0.0 to 1.0)`, vous devez fournir une valeur `fraction` (par défaut : 0.0, plage : 0.0 à 1.0, pas : 0.01). Cela spécifie l'emplacement dans la vidéo de sortie où cette image s'applique, sous forme de fraction de sa durée totale (0.0 = début, 1.0 = fin).
+
+## Sorties
+
+| Nom de sortie | Description | Type de données |
+|---------------|-------------|-----------------|
+| `prompt_images` | Une chaîne d'images de guidage pouvant être connectée à l'entrée `prompt_images` du nœud Runway Aleph2 Video to Video. | PROMPT_IMAGE_CHAIN |
+
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/fr.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ja.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ja.md
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@@ -0,0 +1,28 @@
+# Runway Aleph2 プロンプト画像
+
+このノードは、ガイダンス画像を出力ビデオ内の特定の瞬間に固定し、その時点での編集済みビデオの見た目を制御します。このノードをRunway Aleph2 Video to Videoノードの`prompt_images`入力に接続し、オプションの`prompt_images`入力を使用して複数（最大5つ）をチェーン接続します。
+
+## 入力
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `image` | 出力ビデオの選択した瞬間に配置するガイダンス画像です。 | IMAGE | はい | - |
+| `position` | この画像を出力ビデオのタイムライン上に配置する方法です。絶対時間（開始からの秒数）または割合時間（ビデオ長に対するパーセンテージ）から選択します。 | COMBO | はい | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | この画像とチェーン接続するオプションの先行プロンプト画像です。別のRunway Aleph2 Prompt Imageノードの出力をここに接続して、最大5つのガイダンス画像のチェーンを構築します。 | PROMPT_IMAGE_CHAIN | いいえ | - |
+
+**位置モードの詳細：**
+
+`position`が`Absolute (seconds)`に設定されている場合、`seconds`値を指定する必要があります（デフォルト：0.0、範囲：0.0～30.0、ステップ：0.1）。これは、この画像が適用される出力ビデオの開始からの正確な時間を秒単位で指定します。
+
+`position`が`Fraction (0.0 to 1.0)`に設定されている場合、`fraction`値を指定する必要があります（デフォルト：0.0、範囲：0.0～1.0、ステップ：0.01）。これは、この画像が出力ビデオの合計長さに対する割合としてどこに適用されるかを指定します（0.0＝開始、1.0＝終了）。
+
+## 出力
+
+| 出力名 | 説明 | データ型 |
+|-------------|-------------|-----------|
+| `prompt_images` | Runway Aleph2 Video to Videoノードの`prompt_images`入力に接続できるプロンプト画像のチェーンです。 | PROMPT_IMAGE_CHAIN |
+
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ja.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ko.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ko.md
new file mode 100644
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@@ -0,0 +1,28 @@
+# Runway Aleph2 프롬프트 이미지
+
+이 노드는 가이드 이미지를 출력 비디오의 특정 시점에 고정하여, 해당 지점에서 편집된 비디오의 모습을 제어합니다. 이 노드를 Runway Aleph2 비디오 투 비디오 노드의 `prompt_images` 입력에 연결하고, 선택적 `prompt_images` 입력을 사용하여 여러 개(최대 5개)를 함께 체인으로 연결할 수 있습니다.
+
+## 입력
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `image` | 출력 비디오의 선택한 시점에 배치할 가이드 이미지입니다. | IMAGE | 예 | - |
+| `position` | 출력 비디오 타임라인에 이 이미지를 배치하는 방법입니다. 절대 시간(시작부터 초 단위) 또는 분수 시간(비디오 길이 대비 백분율) 중에서 선택합니다. | COMBO | 예 | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | 이 이미지와 함께 체인으로 연결할 선택적 이전 프롬프트 이미지입니다. 다른 Runway Aleph2 프롬프트 이미지 노드의 출력을 여기에 연결하여 최대 5개의 가이드 이미지 체인을 구성합니다. | PROMPT_IMAGE_CHAIN | 아니요 | - |
+
+**위치 모드 세부 정보:**
+
+`position`이 `Absolute (seconds)`로 설정된 경우, `seconds` 값을 제공해야 합니다(기본값: 0.0, 범위: 0.0~30.0, 단계: 0.1). 이는 출력 비디오 시작부터 이 이미지가 적용되는 정확한 시간(초)을 지정합니다.
+
+`position`이 `Fraction (0.0 to 1.0)`으로 설정된 경우, `fraction` 값을 제공해야 합니다(기본값: 0.0, 범위: 0.0~1.0, 단계: 0.01). 이는 출력 비디오 전체 길이 대비 분수 값으로 이 이미지가 적용되는 위치를 지정합니다(0.0 = 시작, 1.0 = 끝).
+
+## 출력
+
+| 출력 이름 | 설명 | 데이터 타입 |
+|-------------|-------------|-----------|
+| `prompt_images` | Runway Aleph2 비디오 투 비디오 노드의 `prompt_images` 입력에 연결할 수 있는 프롬프트 이미지 체인입니다. | PROMPT_IMAGE_CHAIN |
+
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ko.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/pt-BR.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/pt-BR.md
new file mode 100644
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+++ b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/pt-BR.md
@@ -0,0 +1,28 @@
+# Runway Aleph2 Imagem de Prompt
+
+Este nó ancora uma imagem de orientação a um momento específico no vídeo de saída, controlando a aparência do vídeo editado naquele ponto. Conecte este nó à entrada `prompt_images` do nó Runway Aleph2 Vídeo para Vídeo e encadeie vários deles (até 5) usando a entrada opcional `prompt_images`.
+
+## Entradas
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-----------|--------------|-------------|-------|
+| `image` | A imagem de orientação para posicionar no momento escolhido do vídeo de saída. | IMAGE | Sim | - |
+| `position` | Como posicionar esta imagem na linha do tempo do vídeo de saída. Escolha entre tempo absoluto (segundos a partir do início) ou tempo fracionário (percentual da duração do vídeo). | COMBO | Sim | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | Imagens de prompt anteriores opcionais para encadear com esta. Conecte a saída de outro nó Runway Aleph2 Imagem de Prompt aqui para construir uma cadeia de até 5 imagens de orientação. | PROMPT_IMAGE_CHAIN | Não | - |
+
+**Detalhes do Modo de Posição:**
+
+Quando `position` está definido como `Absolute (seconds)`, você deve fornecer um valor `seconds` (padrão: 0.0, faixa: 0.0 a 30.0, incremento: 0.1). Isso especifica o tempo exato em segundos a partir do início do vídeo de saída onde esta imagem se aplica.
+
+Quando `position` está definido como `Fraction (0.0 to 1.0)`, você deve fornecer um valor `fraction` (padrão: 0.0, faixa: 0.0 a 1.0, incremento: 0.01). Isso especifica onde no vídeo de saída esta imagem se aplica como uma fração de sua duração total (0.0 = início, 1.0 = fim).
+
+## Saídas
+
+| Nome da Saída | Descrição | Tipo de Dado |
+|---------------|-----------|--------------|
+| `prompt_images` | Uma cadeia de imagens de prompt que pode ser conectada à entrada `prompt_images` do nó Runway Aleph2 Vídeo para Vídeo. | PROMPT_IMAGE_CHAIN |
+
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/pt-BR.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ru.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ru.md
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+# Runway Aleph2 Prompt Image
+
+Этот узел привязывает опорное изображение к определенному моменту выходного видео, управляя тем, как отредактированное видео выглядит в этой точке. Подключите этот узел к входу `prompt_images` узла Runway Aleph2 Video to Video и объедините несколько таких узлов (до 5) в цепочку с помощью опционального входа `prompt_images`.
+
+## Входные параметры
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `image` | Опорное изображение для размещения в выбранный момент выходного видео. | IMAGE | Да | - |
+| `position` | Способ размещения этого изображения на временной шкале выходного видео. Выберите между абсолютным временем (секунды от начала) или дробным временем (процент длительности видео). | COMBO | Да | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | Необязательные предыдущие опорные изображения для объединения в цепочку с текущим. Подключите сюда выход другого узла Runway Aleph2 Prompt Image для построения цепочки из до 5 опорных изображений. | PROMPT_IMAGE_CHAIN | Нет | - |
+
+**Подробности о режиме позиционирования:**
+
+Когда `position` установлен в `Absolute (seconds)`, необходимо указать значение `seconds` (по умолчанию: 0.0, диапазон: от 0.0 до 30.0, шаг: 0.1). Это задает точное время в секундах от начала выходного видео, к которому применяется данное изображение.
+
+Когда `position` установлен в `Fraction (0.0 to 1.0)`, необходимо указать значение `fraction` (по умолчанию: 0.0, диапазон: от 0.0 до 1.0, шаг: 0.01). Это задает положение в выходном видео, к которому применяется данное изображение, в виде доли от общей длительности (0.0 = начало, 1.0 = конец).
+
+## Выходные параметры
+
+| Имя выхода | Описание | Тип данных |
+|------------|----------|------------|
+| `prompt_images` | Цепочка опорных изображений, которую можно подключить к входу `prompt_images` узла Runway Aleph2 Video to Video. | PROMPT_IMAGE_CHAIN |
+
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/ru.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/tr.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/tr.md
new file mode 100644
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+++ b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/tr.md
@@ -0,0 +1,28 @@
+# Runway Aleph2 Prompt Image
+
+Bu düğüm, bir kılavuz görüntüyü çıktı videosunda belirli bir ana sabitleyerek, düzenlenmiş videonun o noktada nasıl görüneceğini kontrol eder. Bu düğümü Runway Aleph2 Video to Video düğümünün `prompt_images` girişine bağlayın ve isteğe bağlı `prompt_images` girişini kullanarak birden fazlasını (en fazla 5) zincirleyin.
+
+## Girişler
+
+| Parametre | Açıklama | Veri Türü | Gerekli | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `image` | Çıktı videosunun seçilen anına yerleştirilecek kılavuz görüntü. | IMAGE | Evet | - |
+| `position` | Bu görüntünün çıktı videosunun zaman çizelgesine nasıl yerleştirileceği. Mutlak zamanlama (başlangıçtan itibaren saniye) veya kesirli zamanlama (video süresinin yüzdesi) arasında seçim yapın. | COMBO | Evet | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | Bununla zincirlenecek isteğe bağlı önceki prompt görüntüleri. En fazla 5 kılavuz görüntüden oluşan bir zincir oluşturmak için başka bir Runway Aleph2 Prompt Image düğümünün çıktısını buraya bağlayın. | PROMPT_IMAGE_CHAIN | Hayır | - |
+
+**Konum Modu Detayları:**
+
+`position` `Absolute (seconds)` olarak ayarlandığında, bir `seconds` değeri sağlamanız gerekir (varsayılan: 0.0, aralık: 0.0 ila 30.0, adım: 0.1). Bu, bu görüntünün uygulandığı çıktı videosunun başlangıcından itibaren saniye cinsinden tam zamanı belirtir.
+
+`position` `Fraction (0.0 to 1.0)` olarak ayarlandığında, bir `fraction` değeri sağlamanız gerekir (varsayılan: 0.0, aralık: 0.0 ila 1.0, adım: 0.01). Bu, bu görüntünün çıktı videosunun toplam süresinin bir kesri olarak uygulandığı yeri belirtir (0.0 = başlangıç, 1.0 = bitiş).
+
+## Çıktılar
+
+| Çıktı Adı | Açıklama | Veri Türü |
+|-----------|----------|-----------|
+| `prompt_images` | Runway Aleph2 Video to Video düğümünün `prompt_images` girişine bağlanabilen bir prompt görüntü zinciri. | PROMPT_IMAGE_CHAIN |
+
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/tr.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/zh-TW.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/zh-TW.md
new file mode 100644
index 000000000..eab855736
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/zh-TW.md
@@ -0,0 +1,28 @@
+# Runway Aleph2 提示圖像
+
+此節點將引導圖像錨定到輸出影片中的特定時刻，控制編輯後的影片在該時間點的外觀。將此節點連接到 Runway Aleph2 影片轉影片節點的 `prompt_images` 輸入，並使用可選的 `prompt_images` 輸入將多個節點串聯在一起（最多 5 個）。
+
+## ## 輸入
+
+| 參數 | 說明 | 資料類型 | 必要 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `image` | 放置在輸出影片所選時刻的引導圖像。 | IMAGE | 是 | - |
+| `position` | 如何將此圖像放置在輸出影片的時間軸上。選擇絕對時間（從開始的秒數）或分數時間（影片持續時間的百分比）。 | COMBO | 是 | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | 可選的先前提示圖像，用於與此圖像串聯。在此處連接另一個 Runway Aleph2 提示圖像節點的輸出，以建立最多 5 個引導圖像的鏈。 | PROMPT_IMAGE_CHAIN | 否 | - |
+
+**位置模式詳細說明：**
+
+當 `position` 設定為 `Absolute (seconds)` 時，您必須提供一個 `seconds` 值（預設值：0.0，範圍：0.0 到 30.0，步長：0.1）。這指定了此圖像在輸出影片中從開始起的精確時間（以秒為單位）。
+
+當 `position` 設定為 `Fraction (0.0 to 1.0)` 時，您必須提供一個 `fraction` 值（預設值：0.0，範圍：0.0 到 1.0，步長：0.01）。這指定了此圖像在輸出影片中作為其總持續時間的分數所適用的位置（0.0 = 開始，1.0 = 結束）。
+
+## ## 輸出
+
+| 輸出名稱 | 說明 | 資料類型 |
+|-------------|-------------|-----------|
+| `prompt_images` | 提示圖像鏈，可連接到 Runway Aleph2 影片轉影片節點的 `prompt_images` 輸入。 | PROMPT_IMAGE_CHAIN |
+
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/zh-TW.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/zh.md b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/zh.md
new file mode 100644
index 000000000..6c5c46406
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/zh.md
@@ -0,0 +1,28 @@
+# Runway Aleph2 提示图像
+
+此节点将引导图像锚定到输出视频中的特定时刻，控制编辑后的视频在该点的外观。将此节点连接到 Runway Aleph2 视频到视频节点的 `prompt_images` 输入，并使用可选的 `prompt_images` 输入将多个节点串联在一起（最多 5 个）。
+
+## ## 输入
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `image` | 要放置在输出视频选定时刻的引导图像。 | IMAGE | 是 | - |
+| `position` | 如何将此图像放置在输出视频的时间线上。可选择绝对时间（从开始算起的秒数）或分数时间（视频时长的百分比）。 | COMBO | 是 | `Absolute (seconds)`
`Fraction (0.0 to 1.0)` |
+| `prompt_images` | 可选的早期提示图像，用于与此图像串联。在此处连接另一个 Runway Aleph2 提示图像节点的输出，以构建最多 5 个引导图像的链条。 | PROMPT_IMAGE_CHAIN | 否 | - |
+
+**位置模式详情：**
+
+当 `position` 设置为 `Absolute (seconds)` 时，必须提供 `seconds` 值（默认值：0.0，范围：0.0 至 30.0，步长：0.1）。这指定了从输出视频开始到应用此图像的精确时间（以秒为单位）。
+
+当 `position` 设置为 `Fraction (0.0 to 1.0)` 时，必须提供 `fraction` 值（默认值：0.0，范围：0.0 至 1.0，步长：0.01）。这指定了此图像在输出视频中应用的位置，作为其总时长的分数（0.0 = 开始，1.0 = 结束）。
+
+## ## 输出
+
+| 输出名称 | 描述 | 数据类型 |
+|-------------|-------------|-----------|
+| `prompt_images` | 提示图像链条，可连接到 Runway Aleph2 视频到视频节点的 `prompt_images` 输入。 | PROMPT_IMAGE_CHAIN |
+
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2PromptImageNode/zh.md)
+
+---
+**Source fingerprint (SHA-256):** `a8b86fb5d73d27cc58aa59c195ca058eec8a5c9433ea09522ff3e905f6b88193`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ar.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ar.md
new file mode 100644
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+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ar.md
@@ -0,0 +1,31 @@
+# عقدة Runway Aleph2 لتحويل الفيديو إلى فيديو
+
+تقوم هذه العقدة بتحرير فيديو باستخدام موجه نصي مع نموذج Aleph2 من Runway. تقوم بتحويل اللقطات الخاصة بك عن طريق إعادة التصميم، أو تعديل الإضاءة، أو إضافة أو إزالة العناصر، أو تغيير زاوية الرؤية مع الحفاظ على الحركة والتوقيت الأصليين.
+
+## المدخلات
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|--------------|--------|--------|
+| `prompt` | يصف ما يجب أن يظهر في المخرجات (1-1000 حرف). | STRING | نعم | 1-1000 حرف |
+| `video` | فيديو الإدخال المراد تحريره. يجب أن يكون من 2-30 ثانية بمعدل 30 إطارًا في الثانية أو أقل. | VIDEO | نعم | مدة 2-30 ثانية، 30 إطارًا في الثانية كحد أقصى |
+| `seed` | البذرة العشوائية للتوليد (الافتراضي: 0). | INT | نعم | 0 إلى 4294967295 |
+| `public_figure_threshold` | مراقبة المحتوى للشخصيات العامة المعروفة (الافتراضي: "منخفض"). | COMBO | نعم | "تلقائي"
"منخفض" |
+| `keyframes` | صور توجيهية مثبتة على فيديو الإدخال، من عقد إطارات Aleph2 الرئيسية (حتى 5). استخدم الإطارات الرئيسية أو صور الموجه، وليس كليهما. | KEYFRAME | لا | حتى 5 عناصر |
+| `prompt_images` | صور توجيهية مثبتة على فيديو المخرجات، من عقد صور موجه Aleph2 (حتى 5). استخدم الإطارات الرئيسية أو صور الموجه، وليس كليهما. | PROMPT_IMAGE | لا | حتى 5 عناصر |
+
+**قيود مهمة:**
+- يجب أن يكون فيديو الإدخال بين 2 و 30 ثانية وأن يكون معدل الإطارات فيه 30 إطارًا في الثانية أو أقل.
+- يمكنك استخدام إما `keyframes` أو `prompt_images` للتوجيه، ولكن ليس كليهما في نفس الوقت.
+- يدعم كل مدخل توجيه (الإطارات الرئيسية أو صور الموجه) حدًا أقصى قدره 5 عناصر.
+- يجب ألا تتجاوز الطوابع الزمنية للإطارات الرئيسية والطوابع الزمنية لصور الموجه مدة فيديو الإدخال.
+
+## المخرجات
+
+| اسم المخرج | الوصف | نوع البيانات |
+|------------|-------|--------------|
+| `video` | الفيديو المحرر الذي تم إنشاؤه بواسطة نموذج Aleph2. | VIDEO |
+
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ar.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/en.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/en.md
new file mode 100644
index 000000000..c32eb7137
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/en.md
@@ -0,0 +1,31 @@
+# Runway Aleph2 Video to Video Node
+
+This node edits a video using a text prompt with Runway's Aleph2 model. It transforms your footage by restyling, relighting, adding or removing elements, or changing the viewpoint while preserving the original motion and timing.
+
+## Inputs
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `prompt` | Describes what should appear in the output (1-1000 characters). | STRING | Yes | 1-1000 characters |
+| `video` | Input video to edit. Must be 2-30 seconds at 30 fps or lower. | VIDEO | Yes | 2-30 seconds duration, 30 fps max |
+| `seed` | Random seed for generation (default: 0). | INT | Yes | 0 to 4294967295 |
+| `public_figure_threshold` | Content moderation for recognizable public figures (default: "low"). | COMBO | Yes | "auto"
"low" |
+| `keyframes` | Guidance images anchored to the input video, from Aleph2 Keyframe nodes (up to 5). Use keyframes or prompt images, not both. | KEYFRAME | No | Up to 5 items |
+| `prompt_images` | Guidance images anchored to the output video, from Aleph2 Prompt Image nodes (up to 5). Use keyframes or prompt images, not both. | PROMPT_IMAGE | No | Up to 5 items |
+
+**Important constraints:**
+- The input video must be between 2 and 30 seconds long and have a frame rate of 30 fps or lower.
+- You can use either `keyframes` or `prompt_images` for guidance, but not both at the same time.
+- Each guidance input (keyframes or prompt images) supports a maximum of 5 items.
+- Keyframe timestamps and prompt image timestamps must not exceed the input video duration.
+
+## Outputs
+
+| Output Name | Description | Data Type |
+|-------------|-------------|-----------|
+| `video` | The edited video generated by the Aleph2 model. | VIDEO |
+
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/en.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/es.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/es.md
new file mode 100644
index 000000000..2ad372798
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+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/es.md
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+# Nodo Aleph2 de Video a Video de Runway
+
+Este nodo edita un video utilizando una instrucción de texto con el modelo Aleph2 de Runway. Transforma tu metraje mediante cambios de estilo, iluminación, adición o eliminación de elementos, o modificación del punto de vista, preservando el movimiento y la sincronización originales.
+
+## Entradas
+
+| Parámetro | Descripción | Tipo de Dato | Obligatorio | Rango |
+|-----------|-------------|-----------|----------|-------|
+| `prompt` | Describe lo que debe aparecer en la salida (1-1000 caracteres). | STRING | Sí | 1-1000 caracteres |
+| `video` | Video de entrada para editar. Debe durar 2-30 segundos a 30 fps o menos. | VIDEO | Sí | Duración de 2-30 segundos, máximo 30 fps |
+| `seed` | Semilla aleatoria para la generación (predeterminado: 0). | INT | Sí | 0 a 4294967295 |
+| `public_figure_threshold` | Moderación de contenido para figuras públicas reconocibles (predeterminado: "low"). | COMBO | Sí | "auto"
"low" |
+| `keyframes` | Imágenes guía ancladas al video de entrada, desde nodos Aleph2 Keyframe (hasta 5). Usa keyframes o imágenes de instrucción, no ambos. | KEYFRAME | No | Hasta 5 elementos |
+| `prompt_images` | Imágenes guía ancladas al video de salida, desde nodos Aleph2 Prompt Image (hasta 5). Usa keyframes o imágenes de instrucción, no ambos. | PROMPT_IMAGE | No | Hasta 5 elementos |
+
+**Restricciones importantes:**
+- El video de entrada debe tener una duración entre 2 y 30 segundos y una tasa de fotogramas de 30 fps o inferior.
+- Puedes usar `keyframes` o `prompt_images` como guía, pero no ambos al mismo tiempo.
+- Cada entrada de guía (keyframes o imágenes de instrucción) admite un máximo de 5 elementos.
+- Las marcas de tiempo de los keyframes y las marcas de tiempo de las imágenes de instrucción no deben exceder la duración del video de entrada.
+
+## Salidas
+
+| Nombre de Salida | Descripción | Tipo de Dato |
+|-------------|-------------|-----------|
+| `video` | El video editado generado por el modelo Aleph2. | VIDEO |
+
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/es.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/fa.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/fa.md
new file mode 100644
index 000000000..756bef77f
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+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/fa.md
@@ -0,0 +1,31 @@
+# گره Runway Aleph2 ویدئو به ویدئو
+
+این گره با استفاده از مدل Aleph2 شرکت Runway و یک توضیح متنی، ویدئو را ویرایش میکند. با تغییر سبک، نورپردازی، افزودن یا حذف عناصر، یا تغییر زاویه دید، فیلم شما را دگرگون میکند در حالی که حرکت و زمانبندی اصلی را حفظ میکند.
+
+## ورودیها
+
+| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
+|---------|---------|----------|--------|--------|
+| `prompt` | توضیح میدهد چه چیزی باید در خروجی ظاهر شود (۱ تا ۱۰۰۰ کاراکتر). | STRING | بله | ۱ تا ۱۰۰۰ کاراکتر |
+| `video` | ویدئوی ورودی برای ویرایش. باید ۲ تا ۳۰ ثانیه با نرخ فریم ۳۰ فریم بر ثانیه یا کمتر باشد. | VIDEO | بله | مدت زمان ۲ تا ۳۰ ثانیه، حداکثر ۳۰ فریم بر ثانیه |
+| `seed` | دانه تصادفی برای تولید (پیشفرض: ۰). | INT | بله | ۰ تا ۴۲۹۴۹۶۷۲۹۵ |
+| `public_figure_threshold` | پالایش محتوا برای چهرههای عمومی قابل تشخیص (پیشفرض: "low"). | COMBO | بله | "auto"
"low" |
+| `keyframes` | تصاویر راهنما متصل به ویدئوی ورودی، از گرههای کلیدفریم Aleph2 (حداکثر ۵ عدد). از کلیدفریمها یا تصاویر راهنمای پرامپت استفاده کنید، نه هر دو. | KEYFRAME | خیر | حداکثر ۵ آیتم |
+| `prompt_images` | تصاویر راهنما متصل به ویدئوی خروجی، از گرههای تصویر پرامپت Aleph2 (حداکثر ۵ عدد). از کلیدفریمها یا تصاویر راهنمای پرامپت استفاده کنید، نه هر دو. | PROMPT_IMAGE | خیر | حداکثر ۵ آیتم |
+
+**محدودیتهای مهم:**
+- ویدئوی ورودی باید بین ۲ تا ۳۰ ثانیه طول داشته باشد و نرخ فریم آن ۳۰ فریم بر ثانیه یا کمتر باشد.
+- میتوانید از `keyframes` یا `prompt_images` برای راهنمایی استفاده کنید، اما نه همزمان از هر دو.
+- هر ورودی راهنما (کلیدفریمها یا تصاویر پرامپت) حداکثر از ۵ آیتم پشتیبانی میکند.
+- برچسبهای زمانی کلیدفریمها و برچسبهای زمانی تصاویر پرامپت نباید از مدت زمان ویدئوی ورودی تجاوز کنند.
+
+## خروجیها
+
+| نام خروجی | توضیحات | نوع داده |
+|-----------|---------|----------|
+| `video` | ویدئوی ویرایششده تولیدشده توسط مدل Aleph2. | VIDEO |
+
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/fa.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/fr.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/fr.md
new file mode 100644
index 000000000..13d48a533
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/fr.md
@@ -0,0 +1,31 @@
+# Nœud Runway Aleph2 Vidéo vers Vidéo
+
+Ce nœud édite une vidéo à l'aide d'une invite textuelle avec le modèle Aleph2 de Runway. Il transforme votre séquence en restylisant, rééclairant, ajoutant ou supprimant des éléments, ou en modifiant le point de vue tout en préservant le mouvement et le timing d'origine.
+
+## Entrées
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `prompt` | Décrit ce qui doit apparaître dans la sortie (1 à 1000 caractères). | STRING | Oui | 1 à 1000 caractères |
+| `video` | Vidéo d'entrée à éditer. Doit durer 2 à 30 secondes à 30 ips ou moins. | VIDEO | Oui | Durée de 2 à 30 secondes, 30 ips max |
+| `seed` | Graine aléatoire pour la génération (par défaut : 0). | INT | Oui | 0 à 4294967295 |
+| `public_figure_threshold` | Modération du contenu pour les personnalités publiques reconnaissables (par défaut : "low"). | COMBO | Oui | "auto"
"low" |
+| `keyframes` | Images de guidage ancrées à la vidéo d'entrée, provenant des nœuds Aleph2 Keyframe (jusqu'à 5). Utilisez les keyframes ou les images d'invite, pas les deux. | KEYFRAME | Non | Jusqu'à 5 éléments |
+| `prompt_images` | Images de guidage ancrées à la vidéo de sortie, provenant des nœuds Aleph2 Prompt Image (jusqu'à 5). Utilisez les keyframes ou les images d'invite, pas les deux. | PROMPT_IMAGE | Non | Jusqu'à 5 éléments |
+
+**Contraintes importantes :**
+- La vidéo d'entrée doit durer entre 2 et 30 secondes et avoir une fréquence d'images de 30 ips ou moins.
+- Vous pouvez utiliser soit les `keyframes` soit les `prompt_images` pour le guidage, mais pas les deux en même temps.
+- Chaque entrée de guidage (keyframes ou images d'invite) prend en charge un maximum de 5 éléments.
+- Les horodatages des keyframes et des images d'invite ne doivent pas dépasser la durée de la vidéo d'entrée.
+
+## Sorties
+
+| Nom de sortie | Description | Type de données |
+|---------------|-------------|-----------------|
+| `video` | La vidéo éditée générée par le modèle Aleph2. | VIDEO |
+
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/fr.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ja.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ja.md
new file mode 100644
index 000000000..c56a729bc
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ja.md
@@ -0,0 +1,31 @@
+# Runway Aleph2 ビデオ・トゥ・ビデオ ノード
+
+このノードは、Runway の Aleph2 モデルを使用して、テキストプロンプトに基づいて動画を編集します。元の動きやタイミングを保持しながら、スタイルの変更、照明の調整、要素の追加・削除、または視点の変更によって映像を変換します。
+
+## 入力
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `prompt` | 出力に表示する内容を記述します（1～1000文字）。 | STRING | はい | 1～1000文字 |
+| `video` | 編集する入力動画。2～30秒、30fps以下である必要があります。 | VIDEO | はい | 2～30秒の長さ、最大30fps |
+| `seed` | 生成用のランダムシード（デフォルト：0）。 | INT | はい | 0～4294967295 |
+| `public_figure_threshold` | 認識可能な公人に対するコンテンツモデレーション（デフォルト："low"）。 | COMBO | はい | "auto"
"low" |
+| `keyframes` | 入力動画に固定されたガイダンス画像。Aleph2 キーフレームノードから取得（最大5つ）。キーフレームまたはプロンプト画像のいずれかを使用し、両方は使用できません。 | KEYFRAME | いいえ | 最大5項目 |
+| `prompt_images` | 出力動画に固定されたガイダンス画像。Aleph2 プロンプト画像ノードから取得（最大5つ）。キーフレームまたはプロンプト画像のいずれかを使用し、両方は使用できません。 | PROMPT_IMAGE | いいえ | 最大5項目 |
+
+**重要な制約事項：**
+- 入力動画は2～30秒の長さで、フレームレートが30fps以下である必要があります。
+- ガイダンスには `keyframes` または `prompt_images` のいずれかを使用でき、両方を同時に使用することはできません。
+- 各ガイダンス入力（キーフレームまたはプロンプト画像）は、最大5項目までサポートします。
+- キーフレームのタイムスタンプとプロンプト画像のタイムスタンプは、入力動画の長さを超えてはなりません。
+
+## 出力
+
+| 出力名 | 説明 | データ型 |
+|-------------|-------------|-----------|
+| `video` | Aleph2 モデルによって生成された編集済み動画。 | VIDEO |
+
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ja.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ko.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ko.md
new file mode 100644
index 000000000..4705f0105
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ko.md
@@ -0,0 +1,31 @@
+# Runway Aleph2 비디오-투-비디오 노드
+
+이 노드는 Runway의 Aleph2 모델을 사용하여 텍스트 프롬프트로 비디오를 편집합니다. 원본 움직임과 타이밍을 유지하면서 영상을 스타일 변경, 조명 변경, 요소 추가 또는 제거, 또는 시점 변경을 통해 변환합니다.
+
+## 입력
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `prompt` | 출력 결과에 나타나야 할 내용을 설명합니다(1-1000자). | STRING | 예 | 1-1000자 |
+| `video` | 편집할 입력 비디오입니다. 30fps 이하에서 2-30초 길이여야 합니다. | VIDEO | 예 | 2-30초 길이, 최대 30fps |
+| `seed` | 생성을 위한 랜덤 시드(기본값: 0). | INT | 예 | 0 ~ 4294967295 |
+| `public_figure_threshold` | 식별 가능한 공인에 대한 콘텐츠 검열(기본값: "low"). | COMBO | 예 | "auto"
"low" |
+| `keyframes` | Aleph2 키프레임 노드에서 가져온, 입력 비디오에 고정된 가이던스 이미지(최대 5개). 키프레임 또는 프롬프트 이미지 중 하나만 사용하세요. | KEYFRAME | 아니요 | 최대 5개 |
+| `prompt_images` | Aleph2 프롬프트 이미지 노드에서 가져온, 출력 비디오에 고정된 가이던스 이미지(최대 5개). 키프레임 또는 프롬프트 이미지 중 하나만 사용하세요. | PROMPT_IMAGE | 아니요 | 최대 5개 |
+
+**중요 제약사항:**
+- 입력 비디오는 2초에서 30초 사이의 길이여야 하며, 프레임 속도는 30fps 이하여야 합니다.
+- 가이던스에는 `keyframes` 또는 `prompt_images` 중 하나만 사용할 수 있으며, 동시에 사용할 수 없습니다.
+- 각 가이던스 입력(키프레임 또는 프롬프트 이미지)은 최대 5개까지 지원됩니다.
+- 키프레임 타임스탬프와 프롬프트 이미지 타임스탬프는 입력 비디오 길이를 초과할 수 없습니다.
+
+## 출력
+
+| 출력 이름 | 설명 | 데이터 타입 |
+|-------------|-------------|-----------|
+| `video` | Aleph2 모델이 생성한 편집된 비디오입니다. | VIDEO |
+
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ko.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/pt-BR.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/pt-BR.md
new file mode 100644
index 000000000..8f2ee2bc7
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/pt-BR.md
@@ -0,0 +1,31 @@
+# Nó de Vídeo para Vídeo Runway Aleph2
+
+Este nó edita um vídeo usando um prompt de texto com o modelo Aleph2 da Runway. Ele transforma sua gravação alterando o estilo, a iluminação, adicionando ou removendo elementos, ou mudando o ponto de vista, preservando o movimento e o ritmo originais.
+
+## Entradas
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-------------|-----------|----------|-------|
+| `prompt` | Descreve o que deve aparecer na saída (1-1000 caracteres). | STRING | Sim | 1-1000 caracteres |
+| `video` | Vídeo de entrada a ser editado. Deve ter 2-30 segundos a 30 fps ou menos. | VIDEO | Sim | Duração de 2-30 segundos, máximo de 30 fps |
+| `seed` | Semente aleatória para geração (padrão: 0). | INT | Sim | 0 a 4294967295 |
+| `public_figure_threshold` | Moderação de conteúdo para figuras públicas reconhecíveis (padrão: "low"). | COMBO | Sim | "auto"
"low" |
+| `keyframes` | Imagens-guia ancoradas ao vídeo de entrada, provenientes de nós Aleph2 Keyframe (até 5). Use keyframes ou imagens de prompt, não ambos. | KEYFRAME | Não | Até 5 itens |
+| `prompt_images` | Imagens-guia ancoradas ao vídeo de saída, provenientes de nós Aleph2 Prompt Image (até 5). Use keyframes ou imagens de prompt, não ambos. | PROMPT_IMAGE | Não | Até 5 itens |
+
+**Restrições importantes:**
+- O vídeo de entrada deve ter entre 2 e 30 segundos de duração e uma taxa de quadros de 30 fps ou menos.
+- Você pode usar `keyframes` ou `prompt_images` como guia, mas não ambos ao mesmo tempo.
+- Cada entrada-guia (keyframes ou imagens de prompt) suporta no máximo 5 itens.
+- Os timestamps dos keyframes e os timestamps das imagens de prompt não devem exceder a duração do vídeo de entrada.
+
+## Saídas
+
+| Nome da Saída | Descrição | Tipo de Dado |
+|-------------|-------------|-----------|
+| `video` | O vídeo editado gerado pelo modelo Aleph2. | VIDEO |
+
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/pt-BR.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ru.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ru.md
new file mode 100644
index 000000000..d74c9f6d5
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ru.md
@@ -0,0 +1,31 @@
+# Узел Runway Aleph2 «Видео в видео»
+
+Этот узел редактирует видео с помощью текстовой подсказки, используя модель Aleph2 от Runway. Он преобразует ваш видеоматериал путем изменения стиля, освещения, добавления или удаления элементов, либо изменения ракурса, сохраняя при этом исходное движение и тайминг.
+
+## Входные параметры
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `prompt` | Описывает, что должно появиться на выходе (1-1000 символов). | STRING | Да | 1-1000 символов |
+| `video` | Входное видео для редактирования. Должно быть длительностью 2-30 секунд с частотой кадров 30 к/с или ниже. | VIDEO | Да | Длительность 2-30 секунд, макс. 30 к/с |
+| `seed` | Случайное зерно для генерации (по умолчанию: 0). | INT | Да | от 0 до 4294967295 |
+| `public_figure_threshold` | Модерация контента для узнаваемых публичных личностей (по умолчанию: "low"). | COMBO | Да | "auto"
"low" |
+| `keyframes` | Направляющие изображения, привязанные к входному видео, из узлов Aleph2 Keyframe (до 5). Используйте либо ключевые кадры, либо направляющие изображения, но не одновременно. | KEYFRAME | Нет | До 5 элементов |
+| `prompt_images` | Направляющие изображения, привязанные к выходному видео, из узлов Aleph2 Prompt Image (до 5). Используйте либо ключевые кадры, либо направляющие изображения, но не одновременно. | PROMPT_IMAGE | Нет | До 5 элементов |
+
+**Важные ограничения:**
+- Входное видео должно быть длительностью от 2 до 30 секунд и иметь частоту кадров 30 к/с или ниже.
+- Для направления можно использовать либо `keyframes`, либо `prompt_images`, но не одновременно.
+- Каждый направляющий вход (ключевые кадры или направляющие изображения) поддерживает максимум 5 элементов.
+- Временные метки ключевых кадров и направляющих изображений не должны превышать длительность входного видео.
+
+## Выходные параметры
+
+| Имя выхода | Описание | Тип данных |
+|------------|----------|------------|
+| `video` | Отредактированное видео, сгенерированное моделью Aleph2. | VIDEO |
+
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/ru.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/tr.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/tr.md
new file mode 100644
index 000000000..ccbbaa600
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/tr.md
@@ -0,0 +1,31 @@
+# Runway Aleph2 Video’dan Video’ya Düğümü
+
+Bu düğüm, Runway’in Aleph2 modelini kullanarak bir metin istemiyle videoyu düzenler. Orijinal hareketi ve zamanlamayı korurken, görüntülerinizi yeniden stilize ederek, yeniden aydınlatarak, öğeler ekleyerek veya çıkararak ya da bakış açısını değiştirerek dönüştürür.
+
+## Girişler
+
+| Parametre | Açıklama | Veri Türü | Gerekli | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `prompt` | Çıktıda ne görünmesi gerektiğini açıklar (1-1000 karakter). | STRING | Evet | 1-1000 karakter |
+| `video` | Düzenlenecek giriş videosu. 30 fps veya daha düşük olmak üzere 2-30 saniye olmalıdır. | VIDEO | Evet | 2-30 saniye süre, maks. 30 fps |
+| `seed` | Üretim için rastgele tohum (varsayılan: 0). | INT | Evet | 0 ile 4294967295 arası |
+| `public_figure_threshold` | Tanınabilir kamu figürleri için içerik denetimi (varsayılan: "düşük"). | COMBO | Evet | "auto"
"low" |
+| `keyframes` | Aleph2 Ana Kare düğümlerinden gelen, giriş videosuna bağlı kılavuz görüntüler (en fazla 5). Ana kare veya istem görselleri kullanın, ikisini birden kullanmayın. | KEYFRAME | Hayır | En fazla 5 öğe |
+| `prompt_images` | Aleph2 İstem Görseli düğümlerinden gelen, çıkış videosuna bağlı kılavuz görüntüler (en fazla 5). Ana kare veya istem görselleri kullanın, ikisini birden kullanmayın. | PROMPT_IMAGE | Hayır | En fazla 5 öğe |
+
+**Önemli kısıtlamalar:**
+- Giriş videosu 2 ila 30 saniye arasında olmalı ve kare hızı 30 fps veya daha düşük olmalıdır.
+- Kılavuz için `keyframes` veya `prompt_images` kullanabilirsiniz, ancak ikisini aynı anda kullanamazsınız.
+- Her kılavuz girişi (ana kareler veya istem görselleri) en fazla 5 öğeyi destekler.
+- Ana kare zaman damgaları ve istem görseli zaman damgaları, giriş videosu süresini aşmamalıdır.
+
+## Çıkışlar
+
+| Çıkış Adı | Açıklama | Veri Türü |
+|-----------|----------|-----------|
+| `video` | Aleph2 modeli tarafından oluşturulan düzenlenmiş video. | VIDEO |
+
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/tr.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/zh-TW.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/zh-TW.md
new file mode 100644
index 000000000..b385ac366
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/zh-TW.md
@@ -0,0 +1,31 @@
+# Runway Aleph2 影片轉影片節點
+
+此節點使用 Runway 的 Aleph2 模型，透過文字提示來編輯影片。它能重新風格化、重新打光、新增或移除元素，或改變視角，同時保留原始動作與時間節奏，從而轉換您的影片素材。
+
+## ## 輸入
+
+| 參數 | 說明 | 資料類型 | 必要 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `prompt` | 描述輸出中應出現的內容（1-1000 個字元）。 | STRING | 是 | 1-1000 個字元 |
+| `video` | 要編輯的輸入影片。必須為 2-30 秒，且幀率為 30 fps 或更低。 | VIDEO | 是 | 2-30 秒長度，最大 30 fps |
+| `seed` | 生成用的隨機種子（預設值：0）。 | INT | 是 | 0 到 4294967295 |
+| `public_figure_threshold` | 針對可辨識公眾人物的內容審查（預設值："low"）。 | COMBO | 是 | "auto"
"low" |
+| `keyframes` | 錨定於輸入影片的引導影像，來自 Aleph2 關鍵影格節點（最多 5 個）。請使用關鍵影格或提示影像，不可同時使用兩者。 | KEYFRAME | 否 | 最多 5 個項目 |
+| `prompt_images` | 錨定於輸出影片的引導影像，來自 Aleph2 提示影像節點（最多 5 個）。請使用關鍵影格或提示影像，不可同時使用兩者。 | PROMPT_IMAGE | 否 | 最多 5 個項目 |
+
+**重要限制：**
+- 輸入影片長度必須在 2 到 30 秒之間，且幀率為 30 fps 或更低。
+- 您只能使用 `keyframes` 或 `prompt_images` 其中一種作為引導，不可同時使用兩者。
+- 每個引導輸入（關鍵影格或提示影像）最多支援 5 個項目。
+- 關鍵影格時間戳記與提示影像時間戳記不得超過輸入影片的長度。
+
+## ## 輸出
+
+| 輸出名稱 | 說明 | 資料類型 |
+|-------------|-------------|-----------|
+| `video` | 由 Aleph2 模型生成的編輯後影片。 | VIDEO |
+
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/zh-TW.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/zh.md b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/zh.md
new file mode 100644
index 000000000..b08a850af
--- /dev/null
+++ b/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/zh.md
@@ -0,0 +1,31 @@
+# Runway Aleph2 视频到视频节点
+
+此节点使用 Runway 的 Aleph2 模型，通过文本提示编辑视频。它能够对您的素材进行风格重绘、重新照明、添加或移除元素，或改变视角，同时保留原始的运动和时间节奏。
+
+## ## 输入
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `prompt` | 描述输出中应出现的内容（1-1000 个字符）。 | STRING | 是 | 1-1000 个字符 |
+| `video` | 要编辑的输入视频。必须为 2-30 秒，帧率不超过 30 fps。 | VIDEO | 是 | 时长 2-30 秒，最大 30 fps |
+| `seed` | 生成用的随机种子（默认值：0）。 | INT | 是 | 0 到 4294967295 |
+| `public_figure_threshold` | 针对可识别公众人物的内容审核（默认值："low"）。 | COMBO | 是 | "auto"
"low" |
+| `keyframes` | 锚定到输入视频的引导图像，来自 Aleph2 关键帧节点（最多 5 个）。使用关键帧或提示图像，不可同时使用两者。 | KEYFRAME | 否 | 最多 5 项 |
+| `prompt_images` | 锚定到输出视频的引导图像，来自 Aleph2 提示图像节点（最多 5 个）。使用关键帧或提示图像，不可同时使用两者。 | PROMPT_IMAGE | 否 | 最多 5 项 |
+
+**重要限制：**
+- 输入视频时长必须在 2 到 30 秒之间，帧率不超过 30 fps。
+- 您只能使用 `keyframes` 或 `prompt_images` 其中之一进行引导，不可同时使用两者。
+- 每个引导输入（关键帧或提示图像）最多支持 5 项。
+- 关键帧时间戳和提示图像时间戳不得超过输入视频的时长。
+
+## ## 输出
+
+| 输出名称 | 描述 | 数据类型 |
+|-------------|-------------|-----------|
+| `video` | 由 Aleph2 模型生成的编辑后视频。 | VIDEO |
+
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayAleph2VideoToVideoNode/zh.md)
+
+---
+**Source fingerprint (SHA-256):** `bda4d0f49843c1a8f311ddbce5911a2a157cae798a26f7a183b31fe41686d0b7`
diff --git a/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md
index b6e04807f..062627b8d 100644
--- a/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md
@@ -1,9 +1,11 @@
+# Runway First-Last-Frame to Video
+
The Runway First-Last-Frame to Video node generates videos by uploading first and last keyframes along with a text prompt. It creates smooth transitions between the provided start and end frames using Runway's Gen-3 model. This is particularly useful for complex transitions where the end frame differs significantly from the start frame.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text prompt for the generation (default: empty string) | STRING | Yes | N/A |
| `start_frame` | Start frame to be used for the video | IMAGE | Yes | N/A |
| `end_frame` | End frame to be used for the video. Supported for gen3a_turbo only. | IMAGE | Yes | N/A |
@@ -21,10 +23,10 @@ The Runway First-Last-Frame to Video node generates videos by uploading first an
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video transitioning between the start and end frames | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayFirstLastFrameNode/en.md)
---
-**Source fingerprint (SHA-256):** `a2d4839bf30bff3e3199a18129eb32c8495b8ea0c9ce209e9b3d00574de35399`
+**Source fingerprint (SHA-256):** `469814fa2ac6d3fb539a4e4fb8a7e952c610f715816c7179a0c918edd47051eb`
diff --git a/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md b/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md
index 0f19b9393..cc1a6138f 100644
--- a/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md
+++ b/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md
@@ -1,9 +1,11 @@
+# Runway Image to Video (Gen3a Turbo)
+
The Runway Image to Video (Gen3a Turbo) node generates a video from a single starting frame using Runway's Gen3a Turbo model. It takes a text prompt and an initial image frame, then creates a video sequence based on the specified duration and aspect ratio. This node connects to Runway's API to process the generation remotely.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text prompt for the generation (default: "") | STRING | Yes | N/A |
| `start_frame` | Start frame to be used for the video | IMAGE | Yes | N/A |
| `duration` | Video duration in seconds (default: "5") | COMBO | Yes | `"5"`
`"10"` |
@@ -19,10 +21,10 @@ The Runway Image to Video (Gen3a Turbo) node generates a video from a single sta
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video sequence | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen3a/en.md)
---
-**Source fingerprint (SHA-256):** `ff88d2486746ab3ddf1b7a0c3184c54abd6bcb01e9743bc04c93e9c3a9e8d9ff`
+**Source fingerprint (SHA-256):** `86d4c5468ca1a192e71f502d4d409a9813769c68aa464d113a012052a55d760e`
diff --git a/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md b/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md
index c05731526..0477ac17c 100644
--- a/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md
+++ b/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md
@@ -1,12 +1,14 @@
+# Runway Image to Video (Gen4 Turbo)
+
The Runway Image to Video (Gen4 Turbo) node generates a video from a single starting frame using Runway's Gen4 Turbo model. It takes a text prompt and an initial image frame, then creates a video sequence based on the provided duration and aspect ratio settings. The node handles uploading the starting frame to Runway's API and returns the generated video.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text prompt for the generation (default: empty string) | STRING | Yes | - |
| `start_frame` | Start frame to be used for the video | IMAGE | Yes | - |
-| `duration` | Video duration in seconds (default: "5") | COMBO | Yes | `"5"`
`"10"` |
+| `duration` | Video duration in seconds | COMBO | Yes | `"5"`
`"10"` |
| `ratio` | Aspect ratio for the generated video (default: "1280:720") | COMBO | Yes | `"1280:720"`
`"720:1280"`
`"1104:832"`
`"832:1104"`
`"960:960"`
`"1584:672"` |
| `seed` | Random seed for generation (default: 0) | INT | No | 0 to 4294967295 |
@@ -19,10 +21,10 @@ The Runway Image to Video (Gen4 Turbo) node generates a video from a single star
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video based on the input frame and prompt | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayImageToVideoNodeGen4/en.md)
---
-**Source fingerprint (SHA-256):** `0b5a2c351277b8c2247b4625fd030dd6f4de8dafd92f59a969575db1ba2f7fe9`
+**Source fingerprint (SHA-256):** `1cbf70391f1dfd0f40a3085dad68b98ec20e964eab7d4a17b2fb3cd07a035277`
diff --git a/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md b/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md
index 225665b80..18309c3a3 100644
--- a/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md
+++ b/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md
@@ -1,9 +1,11 @@
+# Runway Text to Image Node
+
The Runway Text to Image node generates images from text prompts using Runway's Gen 4 model. You can provide a text description and optionally include a reference image to guide the image generation process. The node handles the API communication and returns the generated image.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text prompt for the generation (default: "") | STRING | Yes | - |
| `ratio` | Aspect ratio for the generated image | COMBO | Yes | "16:9"
"1:1"
"21:9"
"2:3"
"3:2"
"4:5"
"5:4"
"9:16"
"9:21" |
| `reference_image` | Optional reference image to guide the generation | IMAGE | No | - |
@@ -13,10 +15,10 @@ The Runway Text to Image node generates images from text prompts using Runway's
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated image based on the text prompt and optional reference image | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/RunwayTextToImageNode/en.md)
---
-**Source fingerprint (SHA-256):** `212eec9ae7ae3df06cefacae361cfd1f623ea7b6b1ca0e4beb4f5b7df76226e5`
+**Source fingerprint (SHA-256):** `c9403da2e9ad8f663d3eea32eb549843696262e4472fc8d58c1f56ef9cc5aa7d`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ar.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ar.md
new file mode 100644
index 000000000..18e91e2a0
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ar.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+تقوم هذه العقدة بعرض بيانات تتبع SAM3 في أقنعة ملونة تستخدمها عقدة WanSCAILToVideo. تقوم بمعالجة بيانات التتبع من فيديو الوضعية الدافعة (driving pose video) وصورة مرجعية اختيارياً، مع تعيين ألوان متناسقة لكل شخص مُتتبَع عبر كلا المخرجين.
+
+## المدخلات
+
+| المعامل | الوصف | نوع البيانات | إلزامي | النطاق |
+|---------|-------|---------------|--------|---------|
+| `driving_track_data` | تتبع SAM3 لفيديو الوضعية الدافعة. سيتم عرضه في مخرج pose_video_mask. | SAM3_TRACK_DATA | نعم | - |
+| `ref_track_data` | تتبع SAM3 للصورة المرجعية. | SAM3_TRACK_DATA | لا | - |
+| `object_indices` | قائمة مفصولة بفواصل لفهارس الأشخاص المراد تضمينهم (مثال: '0,2,3'). تُطبق على كل من القناع المرجعي وقناع فيديو الوضعية. فارغ = الكل. | STRING | نعم | - |
+| `sort_by` | الترتيب الذي تُخصص به ألوان اللوحة للكائنات المُتتبعة (يُطبق على كل من المرجع وفيديو الوضعية بحيث يحتفظ كل كيان بنفس اللون). left_to_right = الكائن الأيسر (بمركز الإطار الأول) يحصل على اللون الأول؛ area = الكائن الأكبر (بمساحة قناع الإطار الأول) يحصل على اللون الأول؛ none = الاحتفاظ بترتيب SAM3. (الافتراضي: "left_to_right") | COMBO | نعم | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | False = وضع الرسوم المتحركة (خلفية سوداء لـ pose_video_mask، خلفية بيضاء لـ reference_image_mask). True = وضع الاستبدال (خلفية بيضاء لـ pose_video_mask، خلفية سوداء لـ reference_image_mask). (الافتراضي: False) | BOOLEAN | نعم | False
True |
+
+## المخرجات
+
+| اسم المخرج | الوصف | نوع البيانات |
+|-------------|-------|---------------|
+| `pose_video_mask` | قناع ملون معروض من بيانات تتبع فيديو الوضعية الدافعة. يتبع لون الخلفية إعداد replacement_mode. | IMAGE |
+| `reference_image_mask` | قناع ملون معروض من بيانات تتبع الصورة المرجعية. يُعرض دائماً بخلفية سوداء وفقاً لاتفاقية النموذج. | IMAGE |
+
+> تم إنشاء هذه الوثيقة بواسطة الذكاء الاصطناعي. إذا وجدت أي أخطاء أو لديك اقتراحات للتحسين، فلا تتردد في المساهمة! [تحرير على GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ar.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/en.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/en.md
new file mode 100644
index 000000000..395ff6a86
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/en.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+This node renders SAM3 tracking data into colored masks that are consumed by the WanSCAILToVideo node. It processes tracking data from a driving pose video and optionally a reference image, assigning consistent colors to each tracked person across both outputs.
+
+## Inputs
+
+| Parameter | Description | Data Type | Required | Range |
+|-----------|-------------|-----------|----------|-------|
+| `driving_track_data` | SAM3 track of the driving pose video. Will be rendered into the pose_video_mask output. | SAM3_TRACK_DATA | Yes | - |
+| `ref_track_data` | SAM3 track of the reference image. | SAM3_TRACK_DATA | No | - |
+| `object_indices` | Comma-separated list of person indices to include (e.g. '0,2,3'). Applied to both reference and pose video masks. Empty = all. | STRING | Yes | - |
+| `sort_by` | Order in which palette colors are assigned to the tracked objects (applied to both reference and pose video so each identity keeps the same color). left_to_right = leftmost object (by first-frame centroid) gets the first color; area = biggest object (by first-frame mask area) gets the first color; none = keep SAM3's order. (default: "left_to_right") | COMBO | Yes | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | False = Animation Mode (pose_video_mask has black background, reference_image_mask has white background). True = Replacement Mode (pose_video_mask has white background, reference_image_mask has black background). (default: False) | BOOLEAN | Yes | False
True |
+
+## Outputs
+
+| Output Name | Description | Data Type |
+|-------------|-------------|-----------|
+| `pose_video_mask` | Colored mask rendered from the driving pose video tracking data. Background color follows replacement_mode setting. | IMAGE |
+| `reference_image_mask` | Colored mask rendered from the reference image tracking data. Background is black in Replacement Mode, white in Animation Mode. | IMAGE |
+
+> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/en.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/es.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/es.md
new file mode 100644
index 000000000..f401d3817
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/es.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+Este nodo convierte los datos de seguimiento de SAM3 en máscaras de colores que son consumidas por el nodo WanSCAILToVideo. Procesa los datos de seguimiento de un video de pose guía y opcionalmente una imagen de referencia, asignando colores consistentes a cada persona rastreada en ambas salidas.
+
+## Entradas
+
+| Parámetro | Descripción | Tipo de Dato | Requerido | Rango |
+|-----------|-------------|-----------|----------|-------|
+| `driving_track_data` | Seguimiento SAM3 del video de pose guía. Se renderizará en la salida pose_video_mask. | SAM3_TRACK_DATA | Sí | - |
+| `ref_track_data` | Seguimiento SAM3 de la imagen de referencia. | SAM3_TRACK_DATA | No | - |
+| `object_indices` | Lista separada por comas de índices de personas a incluir (ej. '0,2,3'). Se aplica tanto a la máscara de referencia como a la del video de pose. Vacío = todas. | STRING | Sí | - |
+| `sort_by` | Orden en que se asignan los colores de la paleta a los objetos rastreados (se aplica tanto a la referencia como al video de pose para que cada identidad mantenga el mismo color). left_to_right = el objeto más a la izquierda (por centroide del primer fotograma) recibe el primer color; area = el objeto más grande (por área de máscara del primer fotograma) recibe el primer color; none = mantener el orden de SAM3. (predeterminado: "left_to_right") | COMBO | Sí | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | False = Modo Animación (pose_video_mask tiene fondo negro, reference_image_mask tiene fondo blanco). True = Modo Reemplazo (pose_video_mask tiene fondo blanco, reference_image_mask tiene fondo negro). (predeterminado: False) | BOOLEAN | Sí | False
True |
+
+## Salidas
+
+| Nombre de Salida | Descripción | Tipo de Dato |
+|-------------|-------------|-----------|
+| `pose_video_mask` | Máscara de colores renderizada a partir de los datos de seguimiento del video de pose guía. El color de fondo sigue la configuración de replacement_mode. | IMAGE |
+| `reference_image_mask` | Máscara de colores renderizada a partir de los datos de seguimiento de la imagen de referencia. Siempre se renderiza con fondo negro según la convención del modelo. | IMAGE |
+
+> Esta documentación fue generada por IA. Si encuentra algún error o tiene sugerencias de mejora, ¡no dude en contribuir! [Editar en GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/es.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/fa.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/fa.md
new file mode 100644
index 000000000..102f0468f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/fa.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+این گره دادههای ردیابی SAM3 را به ماسکهای رنگی تبدیل میکند که توسط گره WanSCAILToVideo مصرف میشوند. این گره دادههای ردیابی را از یک ویدئوی حرکتی محرک و بهصورت اختیاری یک تصویر مرجع پردازش میکند و رنگهای ثابتی را به هر فرد ردیابیشده در هر دو خروجی اختصاص میدهد.
+
+## ورودیها
+
+| پارامتر | توضیحات | نوع داده | الزامی | محدوده |
+|---------|---------|----------|--------|--------|
+| `driving_track_data` | ردیابی SAM3 ویدئوی حرکتی محرک. در خروجی pose_video_mask رندر میشود. | SAM3_TRACK_DATA | بله | - |
+| `ref_track_data` | ردیابی SAM3 تصویر مرجع. | SAM3_TRACK_DATA | خیر | - |
+| `object_indices` | فهرست جدا شده با کاما از اندیسهای افراد برای گنجاندن (مثلاً '0,2,3'). برای هر دو ماسک مرجع و ویدئوی حرکتی اعمال میشود. خالی = همه. | STRING | بله | - |
+| `sort_by` | ترتیب اختصاص رنگهای پالت به اشیاء ردیابیشده (برای هر دو مرجع و ویدئوی حرکتی اعمال میشود تا هر هویت رنگ یکسانی داشته باشد). left_to_right = چپترین شیء (بر اساس مرکز قاب اول) اولین رنگ را دریافت میکند؛ area = بزرگترین شیء (بر اساس مساحت ماسک قاب اول) اولین رنگ را دریافت میکند؛ none = ترتیب SAM3 حفظ میشود. (پیشفرض: "left_to_right") | COMBO | بله | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | False = حالت انیمیشن (pose_video_mask پسزمینه سیاه دارد، reference_image_mask پسزمینه سفید دارد). True = حالت جایگزینی (pose_video_mask پسزمینه سفید دارد، reference_image_mask پسزمینه سیاه دارد). (پیشفرض: False) | BOOLEAN | بله | False
True |
+
+## خروجیها
+
+| نام خروجی | توضیحات | نوع داده |
+|-----------|---------|----------|
+| `pose_video_mask` | ماسک رنگی رندر شده از دادههای ردیابی ویدئوی حرکتی محرک. رنگ پسزمینه مطابق تنظیم replacement_mode است. | IMAGE |
+| `reference_image_mask` | ماسک رنگی رندر شده از دادههای ردیابی تصویر مرجع. همیشه با پسزمینه سیاه مطابق قرارداد مدل رندر میشود. | IMAGE |
+
+> این مستند با هوش مصنوعی تهیه شده است. اگر خطایی دیدید یا پیشنهادی برای بهبود دارید، خوشحال میشویم مشارکت کنید! [ویرایش در GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/fa.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/fr.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/fr.md
new file mode 100644
index 000000000..ec7b7367f
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/fr.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+Ce nœud génère des masques colorés à partir des données de suivi SAM3, qui sont ensuite utilisés par le nœud WanSCAILToVideo. Il traite les données de suivi provenant d'une vidéo de pose dynamique et éventuellement d'une image de référence, en attribuant des couleurs cohérentes à chaque personne suivie dans les deux sorties.
+
+## Entrées
+
+| Paramètre | Description | Type de données | Requis | Plage |
+|-----------|-------------|-----------------|--------|-------|
+| `driving_track_data` | Suivi SAM3 de la vidéo de pose dynamique. Sera rendu dans la sortie pose_video_mask. | SAM3_TRACK_DATA | Oui | - |
+| `ref_track_data` | Suivi SAM3 de l'image de référence. | SAM3_TRACK_DATA | Non | - |
+| `object_indices` | Liste d'indices de personnes séparés par des virgules à inclure (ex. '0,2,3'). Appliqué aux masques de référence et de vidéo de pose. Vide = tous. | STRING | Oui | - |
+| `sort_by` | Ordre d'attribution des couleurs de la palette aux objets suivis (appliqué à la fois à la référence et à la vidéo de pose pour que chaque identité conserve la même couleur). left_to_right = l'objet le plus à gauche (par centroïde de la première image) reçoit la première couleur ; area = l'objet le plus grand (par surface du masque de la première image) reçoit la première couleur ; none = conserve l'ordre de SAM3. (par défaut : "left_to_right") | COMBO | Oui | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | False = Mode Animation (pose_video_mask a un fond noir, reference_image_mask a un fond blanc). True = Mode Remplacement (pose_video_mask a un fond blanc, reference_image_mask a un fond noir). (par défaut : False) | BOOLEAN | Oui | False
True |
+
+## Sorties
+
+| Nom de sortie | Description | Type de données |
+|---------------|-------------|-----------------|
+| `pose_video_mask` | Masque coloré généré à partir des données de suivi de la vidéo de pose dynamique. La couleur d'arrière-plan suit le paramètre replacement_mode. | IMAGE |
+| `reference_image_mask` | Masque coloré généré à partir des données de suivi de l'image de référence. Toujours rendu avec un fond noir conformément à la convention du modèle. | IMAGE |
+
+> Cette documentation a été générée par IA. Si vous trouvez des erreurs ou avez des suggestions d'amélioration, n'hésitez pas à contribuer ! [Modifier sur GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/fr.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ja.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ja.md
new file mode 100644
index 000000000..67d0d223e
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ja.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+このノードは、SAM3のトラッキングデータを、WanSCAILToVideoノードで使用されるカラーマスクに変換します。ドライビングポーズ動画とオプションで参照画像からのトラッキングデータを処理し、両方の出力で各追跡人物に一貫した色を割り当てます。
+
+## 入力
+
+| パラメータ | 説明 | データ型 | 必須 | 範囲 |
+|-----------|-------------|-----------|----------|-------|
+| `driving_track_data` | ドライビングポーズ動画のSAM3トラックです。pose_video_mask出力にレンダリングされます。 | SAM3_TRACK_DATA | はい | - |
+| `ref_track_data` | 参照画像のSAM3トラックです。 | SAM3_TRACK_DATA | いいえ | - |
+| `object_indices` | 含める人物インデックスのカンマ区切りリスト（例：'0,2,3'）。参照画像とポーズ動画の両方のマスクに適用されます。空の場合はすべての人物が対象となります。 | STRING | はい | - |
+| `sort_by` | パレット色を追跡オブジェクトに割り当てる順序です（参照画像とポーズ動画の両方に適用され、各人物が同じ色を維持します）。left_to_right = 左端のオブジェクト（最初のフレームの重心による）が最初の色を取得します。area = 最も大きいオブジェクト（最初のフレームのマスク面積による）が最初の色を取得します。none = SAM3の順序を維持します。（デフォルト："left_to_right"） | COMBO | はい | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | False = アニメーションモード（pose_video_maskは黒背景、reference_image_maskは白背景）。True = 置換モード（pose_video_maskは白背景、reference_image_maskは黒背景）。（デフォルト：False） | BOOLEAN | はい | False
True |
+
+## 出力
+
+| 出力名 | 説明 | データ型 |
+|-------------|-------------|-----------|
+| `pose_video_mask` | ドライビングポーズ動画のトラッキングデータからレンダリングされたカラーマスクです。背景色はreplacement_modeの設定に従います。 | IMAGE |
+| `reference_image_mask` | 参照画像のトラッキングデータからレンダリングされたカラーマスクです。モデルの仕様により、常に黒背景でレンダリングされます。 | IMAGE |
+
+> このドキュメントは AI によって生成されました。エラーを見つけた場合や改善のご提案がある場合は、ぜひ貢献してください！ [GitHub で編集](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ja.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ko.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ko.md
new file mode 100644
index 000000000..a7c7cd9a1
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ko.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+이 노드는 SAM3 추적 데이터를 채색된 마스크로 변환하여 WanSCAILToVideo 노드에서 사용할 수 있도록 합니다. 드라이빙 포즈 비디오와 선택적으로 참조 이미지의 추적 데이터를 처리하여, 각 출력에서 추적된 사람들에게 일관된 색상을 할당합니다.
+
+## 입력
+
+| 매개변수 | 설명 | 데이터 타입 | 필수 여부 | 범위 |
+|-----------|-------------|-----------|----------|-------|
+| `driving_track_data` | 드라이빙 포즈 비디오의 SAM3 추적 데이터입니다. pose_video_mask 출력으로 렌더링됩니다. | SAM3_TRACK_DATA | 예 | - |
+| `ref_track_data` | 참조 이미지의 SAM3 추적 데이터입니다. | SAM3_TRACK_DATA | 아니요 | - |
+| `object_indices` | 포함할 사람 인덱스의 쉼표로 구분된 목록입니다(예: '0,2,3'). 참조 및 포즈 비디오 마스크 모두에 적용됩니다. 비워두면 전체가 포함됩니다. | STRING | 예 | - |
+| `sort_by` | 추적된 객체에 팔레트 색상이 할당되는 순서입니다(참조 및 포즈 비디오 모두에 적용되어 각 개체가 동일한 색상을 유지합니다). left_to_right = 가장 왼쪽 객체(첫 번째 프레임 중심 기준)가 첫 번째 색상을 받습니다; area = 가장 큰 객체(첫 번째 프레임 마스크 영역 기준)가 첫 번째 색상을 받습니다; none = SAM3의 순서를 유지합니다. (기본값: "left_to_right") | COMBO | 예 | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | False = 애니메이션 모드(pose_video_mask는 검은색 배경, reference_image_mask는 흰색 배경). True = 대체 모드(pose_video_mask는 흰색 배경, reference_image_mask는 검은색 배경). (기본값: False) | BOOLEAN | 예 | False
True |
+
+## 출력
+
+| 출력 이름 | 설명 | 데이터 타입 |
+|-------------|-------------|-----------|
+| `pose_video_mask` | 드라이빙 포즈 비디오 추적 데이터에서 렌더링된 채색 마스크입니다. 배경 색상은 replacement_mode 설정을 따릅니다. | IMAGE |
+| `reference_image_mask` | 참조 이미지 추적 데이터에서 렌더링된 채색 마스크입니다. 모델 규칙에 따라 항상 검은색 배경으로 렌더링됩니다. | IMAGE |
+
+> 이 문서는 AI에 의해 생성되었습니다. 오류를 발견하거나 개선 제안이 있으시면 기여해 주세요! [GitHub에서 편집](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ko.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/pt-BR.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/pt-BR.md
new file mode 100644
index 000000000..33315cd9b
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/pt-BR.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+Este nó renderiza dados de rastreamento do SAM3 em máscaras coloridas que são consumidas pelo nó WanSCAILToVideo. Ele processa dados de rastreamento de um vídeo de pose condutor e opcionalmente uma imagem de referência, atribuindo cores consistentes a cada pessoa rastreada em ambas as saídas.
+
+## Entradas
+
+| Parâmetro | Descrição | Tipo de Dado | Obrigatório | Faixa |
+|-----------|-----------|--------------|-------------|-------|
+| `driving_track_data` | Rastreamento SAM3 do vídeo de pose condutor. Será renderizado na saída pose_video_mask. | SAM3_TRACK_DATA | Sim | - |
+| `ref_track_data` | Rastreamento SAM3 da imagem de referência. | SAM3_TRACK_DATA | Não | - |
+| `object_indices` | Lista separada por vírgulas de índices de pessoas a incluir (ex.: '0,2,3'). Aplicado tanto às máscaras de referência quanto às do vídeo de pose. Vazio = todas. | STRING | Sim | - |
+| `sort_by` | Ordem na qual as cores da paleta são atribuídas aos objetos rastreados (aplicado tanto à referência quanto ao vídeo de pose para que cada identidade mantenha a mesma cor). left_to_right = objeto mais à esquerda (pelo centróide do primeiro quadro) recebe a primeira cor; area = objeto maior (pela área da máscara do primeiro quadro) recebe a primeira cor; none = manter a ordem do SAM3. (padrão: "left_to_right") | COMBO | Sim | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | Falso = Modo Animação (pose_video_mask tem fundo preto, reference_image_mask tem fundo branco). Verdadeiro = Modo Substituição (pose_video_mask tem fundo branco, reference_image_mask tem fundo preto). (padrão: Falso) | BOOLEAN | Sim | Falso
Verdadeiro |
+
+## Saídas
+
+| Nome da Saída | Descrição | Tipo de Dado |
+|---------------|-----------|--------------|
+| `pose_video_mask` | Máscara colorida renderizada a partir dos dados de rastreamento do vídeo de pose condutor. A cor de fundo segue a configuração de replacement_mode. | IMAGE |
+| `reference_image_mask` | Máscara colorida renderizada a partir dos dados de rastreamento da imagem de referência. Sempre renderizada com fundo preto conforme convenção do modelo. | IMAGE |
+
+> Esta documentação foi gerada por IA. Se você encontrar erros ou tiver sugestões de melhoria, sinta-se à vontade para contribuir! [Editar no GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/pt-BR.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ru.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ru.md
new file mode 100644
index 000000000..d7cf06765
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ru.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+Этот узел преобразует данные отслеживания SAM3 в цветные маски, которые используются узлом WanSCAILToVideo. Он обрабатывает данные отслеживания из управляющего видео с позами и, опционально, из референсного изображения, назначая каждому отслеживаемому человеку постоянный цвет в обоих выходных данных.
+
+## Входные параметры
+
+| Параметр | Описание | Тип данных | Обязательный | Диапазон |
+|----------|----------|------------|--------------|----------|
+| `driving_track_data` | Трек SAM3 управляющего видео с позами. Будет преобразован в выходную маску pose_video_mask. | SAM3_TRACK_DATA | Да | - |
+| `ref_track_data` | Трек SAM3 референсного изображения. | SAM3_TRACK_DATA | Нет | - |
+| `object_indices` | Список индексов людей через запятую для включения (например, '0,2,3'). Применяется как к референсной маске, так и к маске видео с позами. Пусто = все. | STRING | Да | - |
+| `sort_by` | Порядок назначения цветов палитры отслеживаемым объектам (применяется как к референсной маске, так и к маске видео с позами, чтобы каждый объект сохранял одинаковый цвет). left_to_right = самый левый объект (по центроиду первого кадра) получает первый цвет; area = самый большой объект (по площади маски первого кадра) получает первый цвет; none = сохранить порядок SAM3. (по умолчанию: "left_to_right") | COMBO | Да | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | False = Режим анимации (pose_video_mask имеет черный фон, reference_image_mask имеет белый фон). True = Режим замены (pose_video_mask имеет белый фон, reference_image_mask имеет черный фон). (по умолчанию: False) | BOOLEAN | Да | False
True |
+
+## Выходные параметры
+
+| Имя выхода | Описание | Тип данных |
+|------------|----------|------------|
+| `pose_video_mask` | Цветная маска, созданная из данных отслеживания управляющего видео с позами. Цвет фона соответствует настройке replacement_mode. | IMAGE |
+| `reference_image_mask` | Цветная маска, созданная из данных отслеживания референсного изображения. Всегда отображается с черным фоном в соответствии с соглашением модели. | IMAGE |
+
+> Эта документация была создана с помощью ИИ. Если вы обнаружите ошибки или у вас есть предложения по улучшению, пожалуйста, внесите свой вклад! [Редактировать на GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/ru.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/tr.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/tr.md
new file mode 100644
index 000000000..099821d89
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/tr.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+Bu düğüm, SAM3 takip verilerini, WanSCAILToVideo düğümü tarafından kullanılan renkli maskelere dönüştürür. Sürüş pozu videosundan ve isteğe bağlı olarak bir referans görüntüden gelen takip verilerini işleyerek, her iki çıktıda da takip edilen her kişiye tutarlı renkler atar.
+
+## Girişler
+
+| Parametre | Açıklama | Veri Türü | Zorunlu | Aralık |
+|-----------|----------|-----------|---------|--------|
+| `driving_track_data` | Sürüş pozu videosunun SAM3 takibi. pose_video_mask çıktısına dönüştürülecektir. | SAM3_TRACK_DATA | Evet | - |
+| `ref_track_data` | Referans görüntünün SAM3 takibi. | SAM3_TRACK_DATA | Hayır | - |
+| `object_indices` | Dahil edilecek kişi indekslerinin virgülle ayrılmış listesi (örn. '0,2,3'). Hem referans hem de poz videosu maskelerine uygulanır. Boş = tümü. | STRING | Evet | - |
+| `sort_by` | Palet renklerinin takip edilen nesnelere atanma sırası (her kimliğin aynı rengi koruması için hem referans hem de poz videosuna uygulanır). left_to_right = en soldaki nesne (ilk kare merkez noktasına göre) ilk rengi alır; area = en büyük nesne (ilk kare maske alanına göre) ilk rengi alır; none = SAM3'ün sırasını korur. (varsayılan: "left_to_right") | COMBO | Evet | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | False = Animasyon Modu (pose_video_mask siyah arka plana, reference_image_mask beyaz arka plana sahiptir). True = Değiştirme Modu (pose_video_mask beyaz arka plana, reference_image_mask siyah arka plana sahiptir). (varsayılan: False) | BOOLEAN | Evet | False
True |
+
+## Çıktılar
+
+| Çıktı Adı | Açıklama | Veri Türü |
+|-----------|----------|-----------|
+| `pose_video_mask` | Sürüş pozu videosu takip verilerinden oluşturulan renkli maske. Arka plan rengi replacement_mode ayarını takip eder. | IMAGE |
+| `reference_image_mask` | Referans görüntü takip verilerinden oluşturulan renkli maske. Model kuralı gereği her zaman siyah arka planla oluşturulur. | IMAGE |
+
+> Bu belge yapay zeka tarafından oluşturulmuştur. Herhangi bir hata bulursanız veya iyileştirme önerileriniz varsa, katkıda bulunmaktan çekinmeyin! [GitHub'da Düzenle](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/tr.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/zh-TW.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/zh-TW.md
new file mode 100644
index 000000000..44988e094
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/zh-TW.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+此節點將 SAM3 追蹤資料渲染為彩色遮罩，供 WanSCAILToVideo 節點使用。它處理來自驅動姿態影片及可選參考圖像的追蹤資料，為兩個輸出中每個被追蹤的人物分配一致的顏色。
+
+## ## 輸入
+
+| 參數 | 說明 | 資料類型 | 必填 | 範圍 |
+|-----------|-------------|-----------|----------|-------|
+| `driving_track_data` | 驅動姿態影片的 SAM3 追蹤資料。將被渲染為 pose_video_mask 輸出。 | SAM3_TRACK_DATA | 是 | - |
+| `ref_track_data` | 參考圖像的 SAM3 追蹤資料。 | SAM3_TRACK_DATA | 否 | - |
+| `object_indices` | 要包含的人物索引，以逗號分隔（例如 '0,2,3'）。同時應用於參考圖像和姿態影片遮罩。空白 = 全部。 | STRING | 是 | - |
+| `sort_by` | 調色板顏色分配給追蹤物件的順序（同時應用於參考圖像和姿態影片，使每個身份保持相同顏色）。left_to_right = 最左側物件（以第一幀質心為準）獲得第一個顏色；area = 最大物件（以第一幀遮罩面積為準）獲得第一個顏色；none = 保留 SAM3 的順序。（預設值："left_to_right"） | COMBO | 是 | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | False = 動畫模式（pose_video_mask 背景為黑色，reference_image_mask 背景為白色）。True = 替換模式（pose_video_mask 背景為白色，reference_image_mask 背景為黑色）。（預設值：False） | BOOLEAN | 是 | False
True |
+
+## ## 輸出
+
+| 輸出名稱 | 說明 | 資料類型 |
+|-------------|-------------|-----------|
+| `pose_video_mask` | 從驅動姿態影片追蹤資料渲染的彩色遮罩。背景顏色遵循 replacement_mode 設定。 | IMAGE |
+| `reference_image_mask` | 從參考圖像追蹤資料渲染的彩色遮罩。根據模型慣例，始終以黑色背景渲染。 | IMAGE |
+
+> 本文檔由 AI 生成。如果您發現任何錯誤或有改進建議，歡迎貢獻！ [在 GitHub 上編輯](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/zh-TW.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SCAIL2ColoredMask/zh.md b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/zh.md
new file mode 100644
index 000000000..2a983a6d7
--- /dev/null
+++ b/comfyui_embedded_docs/docs/SCAIL2ColoredMask/zh.md
@@ -0,0 +1,25 @@
+# SCAIL2ColoredMask
+
+此节点将 SAM3 跟踪数据渲染为彩色遮罩，供 WanSCAILToVideo 节点使用。它处理来自驱动姿态视频以及可选的参考图像的跟踪数据，为两个输出中的每个被跟踪人物分配一致的颜色。
+
+## 输入
+
+| 参数 | 描述 | 数据类型 | 是否必需 | 范围 |
+|-----------|-------------|-----------|----------|-------|
+| `driving_track_data` | 驱动姿态视频的 SAM3 跟踪数据。将被渲染到 pose_video_mask 输出中。 | SAM3_TRACK_DATA | 是 | - |
+| `ref_track_data` | 参考图像的 SAM3 跟踪数据。 | SAM3_TRACK_DATA | 否 | - |
+| `object_indices` | 要包含的人物索引列表，以逗号分隔（例如 '0,2,3'）。同时应用于参考遮罩和姿态视频遮罩。留空表示全部包含。 | STRING | 是 | - |
+| `sort_by` | 调色板颜色分配给被跟踪对象的顺序（同时应用于参考遮罩和姿态视频，以确保每个身份保持相同颜色）。left_to_right = 最左侧对象（按首帧质心）获得第一种颜色；area = 最大对象（按首帧遮罩面积）获得第一种颜色；none = 保持 SAM3 的顺序。（默认值："left_to_right"） | COMBO | 是 | `"none"`
`"left_to_right"`
`"area"` |
+| `replacement_mode` | False = 动画模式（pose_video_mask 背景为黑色，reference_image_mask 背景为白色）。True = 替换模式（pose_video_mask 背景为白色，reference_image_mask 背景为黑色）。（默认值：False） | BOOLEAN | 是 | False
True |
+
+## 输出
+
+| 输出名称 | 描述 | 数据类型 |
+|-------------|-------------|-----------|
+| `pose_video_mask` | 从驱动姿态视频跟踪数据渲染的彩色遮罩。背景颜色遵循 replacement_mode 设置。 | IMAGE |
+| `reference_image_mask` | 从参考图像跟踪数据渲染的彩色遮罩。根据模型惯例，始终以黑色背景渲染。 | IMAGE |
+
+> 本文档由 AI 生成。如果您发现任何错误或有改进建议，欢迎贡献！ [在 GitHub 上编辑](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SCAIL2ColoredMask/zh.md)
+
+---
+**Source fingerprint (SHA-256):** `c9f6d87410b8bd4082ffb06ef1cf973829566ed222be643db3528cbc241d3c14`
diff --git a/comfyui_embedded_docs/docs/SaveAudio/en.md b/comfyui_embedded_docs/docs/SaveAudio/en.md
index 502d56740..57035078a 100644
--- a/comfyui_embedded_docs/docs/SaveAudio/en.md
+++ b/comfyui_embedded_docs/docs/SaveAudio/en.md
@@ -1,9 +1,11 @@
-The SaveAudio node saves audio data to a file in FLAC format. It takes audio input and writes it to the specified output directory with the given filename prefix. The node automatically handles file naming and ensures the audio is properly saved for later use.
+# SaveAudio
+
+The SaveAudio node saves audio data to a file in FLAC format. It takes audio input and writes it to the specified output directory with the given filename prefix. This node is deprecated and should be replaced with the current Save Audio node.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `audio` | The audio data to be saved | AUDIO | Yes | - |
| `filename_prefix` | The prefix for the output filename (default: "audio/ComfyUI") | STRING | No | - |
@@ -12,10 +14,10 @@ The SaveAudio node saves audio data to a file in FLAC format. It takes audio inp
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| *None* | This node does not return any output data but saves the audio file to the output directory | - |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudio/en.md)
---
-**Source fingerprint (SHA-256):** `fddb5b1b2e103efa18cd367969193b25753a08e9a56420c39df4645894006ac2`
+**Source fingerprint (SHA-256):** `7c8b7aefb438ce8463cb277e044a118af1a8e8a9f7e90aac4d33ad60544903bd`
diff --git a/comfyui_embedded_docs/docs/SaveAudioAdvanced/ar.md b/comfyui_embedded_docs/docs/SaveAudioAdvanced/ar.md
index b59123c0e..066ffb4aa 100644
--- a/comfyui_embedded_docs/docs/SaveAudioAdvanced/ar.md
+++ b/comfyui_embedded_docs/docs/SaveAudioAdvanced/ar.md
@@ -6,9 +6,9 @@
| المعامل | الوصف | نوع البيانات | مطلوب | النطاق |
|----------|---------|---------------|--------|---------|
-| `audio` | الصوت المراد حفظه. | AUDIO | نعم | - |
-| `filename_prefix` | البادئة لاسم الملف المراد حفظه. قد تتضمن رموز تنسيق مثل %date:yyyy-MM-dd%. (الافتراضي: "audio/ComfyUI") | STRING | نعم | - |
-| `format` | تنسيق الملف الذي سيتم حفظ الصوت به. | COMBO | نعم | "flac"
"mp3"
"opus" |
+| `الصوت` | الصوت المراد حفظه. | AUDIO | نعم | - |
+| `بادئة_اسم_الملف` | البادئة لاسم الملف المراد حفظه. قد تتضمن رموز تنسيق مثل %date:yyyy-MM-dd%. (الافتراضي: "audio/ComfyUI") | STRING | نعم | - |
+| `الصيغة` | تنسيق الملف الذي سيتم حفظ الصوت به. | COMBO | نعم | "flac"
"mp3"
"opus" |
عند اختيار "mp3" كتنسيق، يصبح معامل فرعي باسم `quality` متاحًا بالخيارات التالية: "V0"، "128k"، "320k" (الافتراضي: "V0").
diff --git a/comfyui_embedded_docs/docs/SaveAudioAdvanced/es.md b/comfyui_embedded_docs/docs/SaveAudioAdvanced/es.md
index fdb97ad2c..b6601bb29 100644
--- a/comfyui_embedded_docs/docs/SaveAudioAdvanced/es.md
+++ b/comfyui_embedded_docs/docs/SaveAudioAdvanced/es.md
@@ -7,8 +7,8 @@ Guarda el audio de entrada en tu directorio de salida de ComfyUI. Este nodo perm
| Parámetro | Descripción | Tipo de Dato | Requerido | Rango |
|-----------|-------------|--------------|-----------|-------|
| `audio` | El audio a guardar. | AUDIO | Sí | - |
-| `filename_prefix` | El prefijo para el archivo a guardar. Puede incluir tokens de formato como %date:yyyy-MM-dd%. (predeterminado: "audio/ComfyUI") | STRING | Sí | - |
-| `format` | El formato de archivo en el cual guardar el audio. | COMBO | Sí | "flac"
"mp3"
"opus" |
+| `prefijo_nombre_archivo` | El prefijo para el archivo a guardar. Puede incluir tokens de formato como %date:yyyy-MM-dd%. (predeterminado: "audio/ComfyUI") | STRING | Sí | - |
+| `formato` | El formato de archivo en el cual guardar el audio. | COMBO | Sí | "flac"
"mp3"
"opus" |
Cuando se selecciona "mp3" como formato, un subparámetro `quality` estará disponible con las siguientes opciones: "V0", "128k", "320k" (predeterminado: "V0").
diff --git a/comfyui_embedded_docs/docs/SaveAudioAdvanced/fr.md b/comfyui_embedded_docs/docs/SaveAudioAdvanced/fr.md
index f542d5a7a..32d41257c 100644
--- a/comfyui_embedded_docs/docs/SaveAudioAdvanced/fr.md
+++ b/comfyui_embedded_docs/docs/SaveAudioAdvanced/fr.md
@@ -7,7 +7,7 @@ Sauvegarde l'audio d'entrée dans votre répertoire de sortie ComfyUI. Ce nœud
| Paramètre | Description | Type de données | Requis | Plage |
|-----------|-------------|-----------------|--------|-------|
| `audio` | L'audio à sauvegarder. | AUDIO | Oui | - |
-| `filename_prefix` | Le préfixe du fichier à sauvegarder. Peut inclure des jetons de formatage tels que %date:yyyy-MM-dd%. (par défaut : "audio/ComfyUI") | STRING | Oui | - |
+| `préfixe_nom_fichier` | Le préfixe du fichier à sauvegarder. Peut inclure des jetons de formatage tels que %date:yyyy-MM-dd%. (par défaut : "audio/ComfyUI") | STRING | Oui | - |
| `format` | Le format de fichier dans lequel sauvegarder l'audio. | COMBO | Oui | "flac"
"mp3"
"opus" |
Lorsque "mp3" est sélectionné comme format, un sous-paramètre `quality` devient disponible avec les options suivantes : "V0", "128k", "320k" (par défaut : "V0").
diff --git a/comfyui_embedded_docs/docs/SaveAudioAdvanced/tr.md b/comfyui_embedded_docs/docs/SaveAudioAdvanced/tr.md
index b7309b78e..6b5203900 100644
--- a/comfyui_embedded_docs/docs/SaveAudioAdvanced/tr.md
+++ b/comfyui_embedded_docs/docs/SaveAudioAdvanced/tr.md
@@ -6,8 +6,8 @@ Giriş sesini ComfyUI çıktı dizininize kaydeder. Bu düğüm, FLAC, MP3 ve Op
| Parametre | Açıklama | Veri Türü | Gerekli | Aralık |
|-----------|-------------|-----------|----------|-------|
-| `audio` | Kaydedilecek ses. | AUDIO | Evet | - |
-| `filename_prefix` | Kaydedilecek dosya için ön ek. %date:yyyy-MM-dd% gibi biçimlendirme belirteçleri içerebilir. (varsayılan: "audio/ComfyUI") | STRING | Evet | - |
+| `ses` | Kaydedilecek ses. | AUDIO | Evet | - |
+| `dosya_adı_ön_eki` | Kaydedilecek dosya için ön ek. %date:yyyy-MM-dd% gibi biçimlendirme belirteçleri içerebilir. (varsayılan: "audio/ComfyUI") | STRING | Evet | - |
| `format` | Sesin kaydedileceği dosya biçimi. | COMBO | Evet | "flac"
"mp3"
"opus" |
Biçim olarak "mp3" seçildiğinde, aşağıdaki seçeneklerle birlikte bir `quality` alt parametresi kullanılabilir hale gelir: "V0", "128k", "320k" (varsayılan: "V0").
diff --git a/comfyui_embedded_docs/docs/SaveAudioMP3/en.md b/comfyui_embedded_docs/docs/SaveAudioMP3/en.md
index 3747a8f37..0b7ef73ed 100644
--- a/comfyui_embedded_docs/docs/SaveAudioMP3/en.md
+++ b/comfyui_embedded_docs/docs/SaveAudioMP3/en.md
@@ -1,22 +1,26 @@
-The SaveAudioMP3 node saves audio data as an MP3 file. It takes audio input and exports it to the specified output directory with customizable filename and quality settings. The node automatically handles file naming and format conversion to create a playable MP3 file.
+# Save Audio (MP3) (Deprecated)
+
+The SaveAudioMP3 node saves audio data as an MP3 file. It takes audio input and exports it to the specified output directory with customizable filename and quality settings. The node automatically handles file naming and format conversion to create a playable MP3 file. **This node is deprecated and may be removed in future versions.**
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `audio` | The audio data to be saved as an MP3 file | AUDIO | Yes | - |
| `filename_prefix` | The prefix for the output filename (default: "audio/ComfyUI") | STRING | No | - |
-| `quality` | The audio quality setting for the MP3 file (default: "V0") | STRING | No | "V0"
"128k"
"320k" |
+| `quality` | The audio quality setting for the MP3 file (default: "V0") | STRING | No | `"V0"`
`"128k"`
`"320k"` |
| `prompt` | Internal prompt data (automatically provided by the system) | PROMPT | No | - |
| `extra_pnginfo` | Additional PNG information (automatically provided by the system) | EXTRA_PNGINFO | No | - |
+**Note:** If the input `audio` is None (for example, when the source video has no audio track), the node will raise a ValueError.
+
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| *None* | This node does not return any output data, but saves the audio file to the output directory | - |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioMP3/en.md)
---
-**Source fingerprint (SHA-256):** `b238008410f7e8d65b07d79f12cad2cf2ead1fd105bc881a3bef87ab4e71f484`
+**Source fingerprint (SHA-256):** `7274988c40c063e1bb4f46010ec722bb9e660d8f9414ec7a618a07b808f89208`
diff --git a/comfyui_embedded_docs/docs/SaveAudioOpus/en.md b/comfyui_embedded_docs/docs/SaveAudioOpus/en.md
index 96dfb2659..fb7cb16d5 100644
--- a/comfyui_embedded_docs/docs/SaveAudioOpus/en.md
+++ b/comfyui_embedded_docs/docs/SaveAudioOpus/en.md
@@ -1,9 +1,11 @@
-The SaveAudioOpus node saves audio data to an Opus format file. It takes audio input and exports it as a compressed Opus file with configurable quality settings. The node automatically handles file naming and saves the output to the designated output directory.
+# Save Audio (Opus) (Deprecated)
+
+The SaveAudioOpus node saves audio data to an Opus format file. It takes audio input and exports it as a compressed Opus file with configurable quality settings. This node is deprecated and may be removed in future versions.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `audio` | The audio data to be saved as an Opus file | AUDIO | Yes | - |
| `filename_prefix` | The prefix for the output filename (default: "audio/ComfyUI") | STRING | No | - |
| `quality` | The audio quality setting for the Opus file (default: "128k") | COMBO | No | "64k"
"96k"
"128k"
"192k"
"320k" |
@@ -11,10 +13,10 @@ The SaveAudioOpus node saves audio data to an Opus format file. It takes audio i
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| - | This node does not return any output values. It saves the audio file to disk as its primary function. | - |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveAudioOpus/en.md)
---
-**Source fingerprint (SHA-256):** `d793d9ef7da6bd3f9257ad16ab9dc5b31a16354a2dff1449afcb6980b9e1dc63`
+**Source fingerprint (SHA-256):** `37b6eaa7961d6602e9bb7f3233ad8542ca6cc694247ccd2d1334db8b96338071`
diff --git a/comfyui_embedded_docs/docs/SaveGLB/en.md b/comfyui_embedded_docs/docs/SaveGLB/en.md
index b24de1b5f..fc80beb12 100644
--- a/comfyui_embedded_docs/docs/SaveGLB/en.md
+++ b/comfyui_embedded_docs/docs/SaveGLB/en.md
@@ -1,19 +1,21 @@
-The SaveGLB node saves 3D mesh data or 3D files to the output directory. It accepts mesh data or various 3D file formats (GLB, GLTF, OBJ, FBX, STL, USDZ) and exports them with a specified filename prefix. When saving mesh data, it can handle multiple meshes and automatically adds workflow metadata to the files when metadata is enabled.
+# SaveGLB Node Documentation
+
+The SaveGLB node saves 3D mesh data or 3D files to the output directory. It accepts mesh data or various 3D file formats and exports them with a specified filename prefix. When saving mesh data, it can handle multiple meshes and automatically adds workflow metadata to the files when metadata is enabled.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `mesh` | Mesh or 3D file to save. Accepts mesh data or 3D file formats including GLB, GLTF, OBJ, FBX, STL, and USDZ | MESH or FILE3D | Yes | - |
+|-----------|-------------|-----------|----------|-------|
+| `mesh` | Mesh or 3D file to save. Accepts mesh data or 3D file formats including GLB, GLTF, OBJ, FBX, STL, USDZ, PLY, SPLAT, SPZ, KSPLAT, and any splat or point cloud format | MESH or FILE3D | Yes | - |
| `filename_prefix` | The prefix for the output filename (default: "3d/ComfyUI") | STRING | No | - |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `ui` | Displays the saved 3D files in the user interface with filename, subfolder, and type information | UI |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveGLB/en.md)
---
-**Source fingerprint (SHA-256):** `ed56f61f60afea7dfbcae8b222aa7129608e3b10bc0daa27934b8c0cbeb1c0e8`
+**Source fingerprint (SHA-256):** `bee2497160a7fbd2cd43900e66faca4b3b5797cdc7c7f99b85ca063836616430`
diff --git a/comfyui_embedded_docs/docs/SaveWEBM/en.md b/comfyui_embedded_docs/docs/SaveWEBM/en.md
index a7cb6b697..f0cb8b8b4 100644
--- a/comfyui_embedded_docs/docs/SaveWEBM/en.md
+++ b/comfyui_embedded_docs/docs/SaveWEBM/en.md
@@ -1,22 +1,26 @@
+# SaveWEBM Node Documentation
+
The SaveWEBM node saves a sequence of images as a WEBM video file. It takes multiple input images and encodes them into a video using either VP9 or AV1 codec with configurable quality settings and frame rate. The resulting video file is saved to the output directory with metadata including prompt information.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `images` | Sequence of input images to encode as video frames | IMAGE | Yes | - |
+|-----------|-------------|-----------|----------|-------|
+| `images` | RGBA images are saved with their alpha channel as transparency (vp9 codec only) | IMAGE | Yes | - |
| `filename_prefix` | Prefix for the output filename (default: "ComfyUI") | STRING | No | - |
| `codec` | Video codec to use for encoding | COMBO | Yes | "vp9"
"av1" |
| `fps` | Frame rate for the output video (default: 24.0) | FLOAT | No | 0.01-1000.0 |
-| `crf` | Quality setting where higher crf means lower quality with smaller file size, lower crf means higher quality with larger file size (default: 32.0) | FLOAT | No | 0-63.0 |
+| `crf` | Higher crf means lower quality with a smaller file size, lower crf means higher quality higher filesize (default: 32.0) | FLOAT | No | 0-63.0 |
+
+**Note on alpha channel:** The alpha channel from RGBA images is only preserved when using the VP9 codec. When using the AV1 codec, the alpha channel is ignored and only RGB data is encoded.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `ui` | Video preview showing the saved WEBM file | PREVIEW |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SaveWEBM/en.md)
---
-**Source fingerprint (SHA-256):** `7ed734af0f4af835c5b52a91389666ec1e0101458aa0f639ef5eeabf1968bfcc`
+**Source fingerprint (SHA-256):** `8125a855dc2626eaae99ff63e6e0ae907e3187a1f5110e59b63733216de75073`
diff --git a/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md b/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md
index d06741d0f..29a8ef082 100644
--- a/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md
+++ b/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md
@@ -1,11 +1,13 @@
+# Sonilo Text to Music
+
The Sonilo Text to Music node generates music from a text description using Sonilo's AI model. You provide a prompt describing the music you want, and the node sends a request to the Sonilo service to create an audio file. You can specify a target duration or let the model infer it from your prompt.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `prompt` | Text prompt describing the music to generate. This is a required field. | STRING | Yes | N/A |
-| `duration` | Target duration in seconds. Set to 0 to let the model infer the duration from the prompt. Maximum: 6 minutes (360 seconds). Default: 0. | INT | No | 0 to 360 |
+|-----------|-------------|-----------|----------|-------|
+| `prompt` | Text prompt describing the music to generate. | STRING | Yes | N/A |
+| `duration` | Target duration in seconds. Set to 0 to let the model infer the duration from the prompt. Maximum: 6 minutes. Default: 0. | INT | No | 0 to 360 |
| `seed` | Seed for reproducibility. Currently ignored by the Sonilo service but kept for graph consistency. Default: 0. | INT | No | 0 to 18446744073709551615 |
**Note:** The `seed` input is provided for workflow consistency but does not currently affect the output of the Sonilo service.
@@ -13,10 +15,10 @@ The Sonilo Text to Music node generates music from a text description using Soni
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `audio` | The generated music as an audio file. | AUDIO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloTextToMusic/en.md)
---
-**Source fingerprint (SHA-256):** `3c94a2f1004d01d410be089e5dbb926246cca38fdadadee0597c1843ba53883c`
+**Source fingerprint (SHA-256):** `ffb4c5b5c81d12d67ed1db2b65111ffb78bb31104b4bcb55dd7ec60fb7758e86`
diff --git a/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md b/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md
index 89e542362..81d45d788 100644
--- a/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md
+++ b/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md
@@ -1,9 +1,11 @@
+# Sonilo Video to Music
+
Generate music from video using Sonilo's AI model. This node analyzes the content of an input video and creates a matching piece of music. It uses an external AI service to process the video and generate the audio.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `video` | Input video to generate music from. Maximum duration: 6 minutes. | VIDEO | Yes | - |
| `prompt` | Optional text prompt to guide music generation. Leave empty for best quality - the model will fully analyze the video content. (default: empty string) | STRING | No | - |
| `seed` | Seed for reproducibility. Currently ignored by the Sonilo service but kept for graph consistency. (default: 0) | INT | No | 0 to 18446744073709551615 |
@@ -11,10 +13,10 @@ Generate music from video using Sonilo's AI model. This node analyzes the conten
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `audio` | The generated music as an audio file. | AUDIO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SoniloVideoToMusic/en.md)
---
-**Source fingerprint (SHA-256):** `6c7965a4cc31d9fce6711b57052fdfbff37ba9decd086b18587ff39cc4fc3a0b`
+**Source fingerprint (SHA-256):** `ed118d346add099f41a99635638ecb9aa4026b2210b17628c34cdad6bb919767`
diff --git a/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md b/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md
index 51cf88452..5b6e15a75 100644
--- a/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md
+++ b/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md
@@ -1,9 +1,11 @@
+# Stability AI Audio Inpaint
+
Transforms part of an existing audio sample using text instructions. This node allows you to modify specific sections of audio by providing descriptive prompts, effectively "inpainting" or regenerating selected portions while preserving the rest of the audio.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The AI model to use for audio inpainting. | STRING | Yes | `"stable-audio-2.5"` |
| `prompt` | Text description guiding how the audio should be transformed (default: empty). Maximum length is 10,000 characters. | STRING | Yes | |
| `audio` | Input audio file to transform. Audio must be between 6 and 190 seconds long. | AUDIO | Yes | |
@@ -18,10 +20,10 @@ Transforms part of an existing audio sample using text instructions. This node a
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `audio` | The transformed audio output with the specified section modified according to the prompt. | AUDIO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioInpaint/en.md)
---
-**Source fingerprint (SHA-256):** `c00d84db73dfcd708495d7a04e21a2378880ca6ceb906473a45dcc1dae20bf79`
+**Source fingerprint (SHA-256):** `3c180043c538311b1808cddd84b0c0ab22a6fa1d943b7f9ddc9edab0fb3413ad`
diff --git a/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md b/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md
index 12f899ae8..e4f515312 100644
--- a/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md
+++ b/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md
@@ -1,12 +1,14 @@
+# Stability AI Audio To Audio
+
Transforms existing audio samples into new high-quality compositions using text instructions. This node takes an input audio file and modifies it based on your text prompt to create new audio content.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The AI model to use for audio transformation | COMBO | Yes | "stable-audio-2.5" |
-| `prompt` | Text instructions describing how to transform the audio (default: empty, max length: 10000 characters) | STRING | Yes | |
-| `audio` | Audio must be between 6 and 190 seconds long | AUDIO | Yes | |
+| `prompt` | Text instructions describing how to transform the audio (default: empty, max length: 10000 characters) | STRING | Yes | |
+| `audio` | Audio must be between 6 and 190 seconds long | AUDIO | Yes | |
| `duration` | Controls the duration in seconds of the generated audio (default: 190) | INT | No | 1-190 |
| `seed` | The random seed used for generation (default: 0) | INT | No | 0-4294967294 |
| `steps` | Controls the number of sampling steps (default: 8) | INT | No | 4-8 |
@@ -17,10 +19,10 @@ Transforms existing audio samples into new high-quality compositions using text
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `audio` | The transformed audio generated based on the input audio and text prompt | AUDIO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityAudioToAudio/en.md)
---
-**Source fingerprint (SHA-256):** `4d320c851a58b58d1a744ca64295fe0cf3002455944ea1c5484b0c2df3ecd4d5`
+**Source fingerprint (SHA-256):** `3df67797bf2eccf9d7464a1dd00ea5b6c5a9527f7290911c60a9ebff69302241`
diff --git a/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md b/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md
index 17d29bd95..b6b60a3d5 100644
--- a/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md
+++ b/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md
@@ -1,9 +1,11 @@
+# Stability AI Stable Diffusion 3.5 Image
+
This node generates images synchronously using Stability AI's Stable Diffusion 3.5 model. It creates images based on text prompts and can also modify existing images when provided as input. The node supports various aspect ratios and style presets to customize the output.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | STRING | Yes | - |
| `model` | The Stable Diffusion 3.5 model to use for generation. | COMBO | Yes | `sd3.5-large`
`sd3.5-large-turbo`
`sd3.5-medium` |
| `aspect_ratio` | Aspect ratio of generated image. (default: 1:1) | COMBO | Yes | `16:9`
`1:1`
`21:9`
`2:3`
`3:2`
`4:5`
`5:4`
`9:16`
`9:21` |
@@ -19,10 +21,10 @@ This node generates images synchronously using Stability AI's Stable Diffusion 3
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The generated or modified image. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageSD_3_5Node/en.md)
---
-**Source fingerprint (SHA-256):** `aa071616da3ff645dfbc885c84706324d555c18772d3cc0d603b5699a0e7dfff`
+**Source fingerprint (SHA-256):** `0ef029d4651fb4a9132899a6df1a2c2de6152dd9091129573f366a2aac39bbae`
diff --git a/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md b/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md
index a1b8248cf..417567796 100644
--- a/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md
+++ b/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md
@@ -1,9 +1,11 @@
+# Stability AI Stable Image Ultra Node
+
Generates images synchronously based on prompt and resolution. This node creates images using Stability AI's Stable Image Ultra model, processing your text prompt and generating a corresponding image with the specified aspect ratio and style.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. To control the weight of a given word use the format `(word:weight)`, where `word` is the word you'd like to control the weight of and `weight` is a value between 0 and 1. For example: `The sky was a crisp (blue:0.3) and (green:0.8)` would convey a sky that was blue and green, but more green than blue. | STRING | Yes | - |
| `aspect_ratio` | Aspect ratio of generated image (default: "1:1"). | COMBO | Yes | `"1:1"`
`"16:9"`
`"21:9"`
`"2:3"`
`"3:2"`
`"4:5"`
`"5:4"`
`"9:16"`
`"9:21"` |
| `style_preset` | Optional desired style of generated image. Select "None" to not apply any style preset. | COMBO | No | `"3d-model"`
`"analog-film"`
`"anime"`
`"cinematic"`
`"comic-book"`
`"digital-art"`
`"enhance"`
`"fantasy-art"`
`"isometric"`
`"line-art"`
`"low-poly"`
`"modeling-compound"`
`"neon-punk"`
`"origami"`
`"photographic"`
`"pixel-art"`
`"tile-texture"` |
@@ -17,10 +19,10 @@ Generates images synchronously based on prompt and resolution. This node creates
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated image based on the input parameters. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityStableImageUltraNode/en.md)
---
-**Source fingerprint (SHA-256):** `4d516f67a0e2a8c02f601b4da9fe466b7376d50bb96d6e0dc6ca2cc034c79585`
+**Source fingerprint (SHA-256):** `86a9ace60a1f9f2b872865381c695bd0e3e3578e0dd3453f1ab3be58bae2e2f0`
diff --git a/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md b/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md
index 32fbc4730..bf546a87b 100644
--- a/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md
+++ b/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md
@@ -1,9 +1,11 @@
+# Stability AI Text To Audio
+
Generates high-quality music and sound effects from text descriptions. This node uses Stability AI's audio generation technology to create audio content based on your text prompts.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The audio generation model to use (default: "stable-audio-2.5") | COMBO | Yes | `"stable-audio-2.5"` |
| `prompt` | The text description used to generate audio content (default: empty string) | STRING | Yes | - |
| `duration` | Controls the duration in seconds of the generated audio (default: 190) | INT | No | 1-190 |
@@ -13,10 +15,10 @@ Generates high-quality music and sound effects from text descriptions. This node
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `audio` | The generated audio file based on the text prompt | AUDIO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityTextToAudio/en.md)
---
-**Source fingerprint (SHA-256):** `123b166c3879b18854b8d3cf039576d76925664baac63a816a1639d764d869f7`
+**Source fingerprint (SHA-256):** `8dfe0eafb6157bc458c2ba3053a98e2bb5dfe896921cf90a70a88c695f8c5edc`
diff --git a/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md b/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md
index dc93c566f..37a3db3a1 100644
--- a/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md
+++ b/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md
@@ -1,22 +1,24 @@
+# Stability AI Upscale Conservative
+
Upscale image with minimal alterations to 4K resolution. This node uses Stability AI's conservative upscaling to increase image resolution while preserving the original content and making only subtle changes.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to be upscaled | IMAGE | Yes | - |
| `prompt` | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | STRING | Yes | - |
-| `creativity` | Controls the likelihood of creating additional details not heavily conditioned by the init image. (default: 0.35) | FLOAT | Yes | 0.2-0.5 |
-| `seed` | The random seed used for creating the noise. (default: 0) | INT | Yes | 0-4294967294 |
+| `creativity` | Controls the likelihood of creating additional details not heavily conditioned by the init image. (default: 0.35) | FLOAT | Yes | 0.2 - 0.5 |
+| `seed` | The random seed used for creating the noise. (default: 0) | INT | Yes | 0 - 4294967294 |
| `negative_prompt` | Keywords of what you do not wish to see in the output image. This is an advanced feature. (default: empty string) | STRING | No | - |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The upscaled image at 4K resolution | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleConservativeNode/en.md)
---
-**Source fingerprint (SHA-256):** `7fc0cdf98b4edd991070252d8d9736b48acca6038804209ab7163e5516e1ca34`
+**Source fingerprint (SHA-256):** `e4faa795d5a197cdc85c6985b99e8a7229b2b64f929eea3fefff3aff32558c18`
diff --git a/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md b/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md
index f19d4ea3c..d5a33d341 100644
--- a/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md
+++ b/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md
@@ -1,9 +1,11 @@
+# Stability AI Upscale Creative
+
Upscale image with minimal alterations to 4K resolution. This node uses Stability AI's creative upscaling technology to enhance image resolution while preserving the original content and adding subtle creative details.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to be upscaled | IMAGE | Yes | - |
| `prompt` | What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results. (default: empty string) | STRING | Yes | - |
| `creativity` | Controls the likelihood of creating additional details not heavily conditioned by the init image. (default: 0.3) | FLOAT | Yes | 0.1-0.5 |
@@ -14,10 +16,10 @@ Upscale image with minimal alterations to 4K resolution. This node uses Stabilit
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The upscaled image at 4K resolution | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleCreativeNode/en.md)
---
-**Source fingerprint (SHA-256):** `1720cc44cc6273b00b3061b44581ba00853e9da32616bc02584335eb6156632c`
+**Source fingerprint (SHA-256):** `dc9bfacee3bfa663cff22cd0bcef6759f7808e2ae8e19526de28d55a3bef26e6`
diff --git a/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md b/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md
index 60db5a938..198f1df6c 100644
--- a/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md
+++ b/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md
@@ -1,18 +1,20 @@
+# Stability AI Upscale Fast Node
+
Quickly upscales an image via Stability API call to 4x its original size. This node is specifically intended for upscaling low-quality or compressed images by sending them to Stability AI's fast upscaling service.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to be upscaled | IMAGE | Yes | - |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The upscaled image returned from the Stability AI API | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/StabilityUpscaleFastNode/en.md)
---
-**Source fingerprint (SHA-256):** `fd3b033c3454e3b795806f2759f8416ea091df24cb2878b701983e4286da98c9`
+**Source fingerprint (SHA-256):** `2d24f44fdd96a528a48869ca9c1343ca03311e982dfdbc4a8841bc147c9a621e`
diff --git a/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md b/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md
index d84ccb96c..3db2e4990 100644
--- a/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md
+++ b/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md
@@ -1,21 +1,23 @@
+# Tencent3DPartNode
+
This node uses the Tencent Hunyuan3D API to automatically analyze a 3D model and generate or identify its components based on its structure. It processes the model and returns a new FBX file.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `model_3d` | The 3D model to process. The model should be in FBX format and have less than 30000 faces. | FILE3D | Yes | FBX, Any |
-| `seed` | A seed value to control whether the node should re-run. The results are non-deterministic regardless of the seed value. (default: 0) | INT | No | 0 to 2147483647 |
+|-----------|-------------|-----------|----------|-------|
+| `model_3d` | 3D model in FBX format. Model should have less than 30000 faces. | FILE3D | Yes | FBX, Any |
+| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | No | 0 to 2147483647 |
**Note:** The `model_3d` input only supports files in the FBX format. If a different 3D file format is provided, the node will raise an error.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `FBX` | The processed 3D model, returned as an FBX file. | FILE3DFBX |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DPartNode/en.md)
---
-**Source fingerprint (SHA-256):** `094ed587f2989312c0eea86105e8c2bdf48a2c626e424eaa07ba528c2e8b4f89`
+**Source fingerprint (SHA-256):** `33f8b3d6b34198d0d59e2de2ad9f33d357f88ddaf6f986756be4c3b5f855cec3`
diff --git a/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md b/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md
index 716583b66..59b4ca165 100644
--- a/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md
+++ b/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md
@@ -1,19 +1,21 @@
+# Hunyuan3D: 3D Texture Edit
+
This node uses the Tencent Hunyuan3D API to edit the textures of a 3D model. You provide a 3D model and a text description of the desired changes, and the node returns a new version of the model with its textures redrawn according to your prompt.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_3d` | 3D model in FBX format. Model should have less than 100000 faces. | FILE3D | Yes | FBX, Any |
| `prompt` | Describes texture editing. Supports up to 1024 UTF-8 characters. | STRING | Yes | |
| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 0) | INT | No | 0 to 2147483647 |
-**Note:** The `model_3d` input must be a file in the FBX format. Other 3D file formats are not supported by this node.
+**Note:** The `model_3d` input must be a file in the FBX format. Other 3D file formats are not supported by this node. The `prompt` parameter is required and must be between 1 and 1024 characters in length.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `GLB` | The processed 3D model in GLB format. | FILE3D |
| `OBJ` | The processed 3D model in OBJ format. | FILE3D |
| `texture_image` | The newly generated texture image for the 3D model. | IMAGE |
@@ -21,4 +23,4 @@ This node uses the Tencent Hunyuan3D API to edit the textures of a 3D model. You
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Tencent3DTextureEditNode/en.md)
---
-**Source fingerprint (SHA-256):** `e8d3f9fbd49b0e641ed4bb415d6ee6a34018623eb717ac54c0588383f9caed44`
+**Source fingerprint (SHA-256):** `eedddc8bd47a4af6e45a516f2817e7c1dded575d9e28ea9b66a1d7a39b93526c`
diff --git a/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md b/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md
index fe5f1a1a9..971e67988 100644
--- a/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md
@@ -1,9 +1,11 @@
+# TencentImageToModelNode
+
This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from one or more input images. It processes the images, sends them to the API, and returns the generated 3D model files in GLB and OBJ formats, along with optional texture maps.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The version of the Hunyuan3D model to use. The LowPoly option is unavailable for the `3.1` model. | COMBO | Yes | `"3.0"`
`"3.1"` |
| `image` | The primary input image used to generate the 3D model. Must be at least 128x128 pixels. | IMAGE | Yes | - |
| `image_left` | An optional image of the object's left side for multi-view generation. Must be at least 128x128 pixels. | IMAGE | No | - |
@@ -20,7 +22,7 @@ This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from one or mo
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | A legacy output for backward compatibility. | STRING |
| `GLB` | The generated 3D model in the GLB (Binary GL Transmission Format) file format. | FILE3DGLB |
| `OBJ` | The generated 3D model in the OBJ (Wavefront) file format. | FILE3DOBJ |
@@ -32,4 +34,4 @@ This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from one or mo
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentImageToModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `b4cb268fe3b2f5890e5460d5e69897ccc47e205b05546aea18a85ad15717f12a`
+**Source fingerprint (SHA-256):** `fe422cfa714dbff7cd5dabb286d93d59afe9a01daf711ca09ebcf47ef100a52e`
diff --git a/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md b/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md
index 56b650cc7..3691d954b 100644
--- a/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md
+++ b/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md
@@ -1,16 +1,18 @@
+# ComfyUI Node Documentation: TencentModelTo3DUVNode
+
This node uses the Tencent Hunyuan3D API to perform UV unfolding on a 3D model. It takes a 3D model file as input, sends it to the API for processing, and returns the processed model in OBJ and FBX formats along with a generated UV texture image. The input model must have fewer than 30,000 faces.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_3d` | Input 3D model (GLB, OBJ, or FBX). The model must have less than 30000 faces. | FILE3D | Yes | GLB
OBJ
FBX |
-| `seed` | A seed value (default: 1). This controls whether the node should re-run, but results are non-deterministic regardless of the seed value. | INT | No | 0 to 2147483647 |
+| `seed` | Seed controls whether the node should re-run; results are non-deterministic regardless of seed. (default: 1) | INT | No | 0 to 2147483647 |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `OBJ` | The processed 3D model file in OBJ format. | FILE3D |
| `FBX` | The processed 3D model file in FBX format. | FILE3D |
| `uv_image` | The generated UV texture image. | IMAGE |
@@ -18,4 +20,4 @@ This node uses the Tencent Hunyuan3D API to perform UV unfolding on a 3D model.
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentModelTo3DUVNode/en.md)
---
-**Source fingerprint (SHA-256):** `f09167ca1aacf299ff278817a50b6c311b6211fe447cfbe7c3a0ccc481058cf6`
+**Source fingerprint (SHA-256):** `b69519df055043555ab7f4d75cfb3b77b9011d5a8e93d0b3ba30c7a8674bd2cb`
diff --git a/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md b/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md
index f1ea98418..e1fc49b88 100644
--- a/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md
+++ b/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md
@@ -1,9 +1,11 @@
+# TencentSmartTopologyNode
+
This node performs smart retopology on a 3D model, automatically creating a new, cleaner mesh with optimized polygon count. It connects to a Tencent Hunyuan 3D API to process the model, supporting GLB and OBJ file formats up to 200MB. The node returns the processed model as an OBJ file.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_3d` | Input 3D model (GLB or OBJ). The file must be in GLB or OBJ format and cannot exceed 200MB. | FILE3D | Yes | - |
| `polygon_type` | Surface composition type. | STRING | Yes | `"triangle"`
`"quadrilateral"` |
| `face_level` | Polygon reduction level. | STRING | Yes | `"medium"`
`"high"`
`"low"` |
@@ -14,10 +16,10 @@ This node performs smart retopology on a 3D model, automatically creating a new,
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `OBJ` | The processed 3D model with optimized topology, returned in OBJ format. | FILE3D |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentSmartTopologyNode/en.md)
---
-**Source fingerprint (SHA-256):** `41f52d3553c2c0773d539d029f21fe405ffac739a5a43d89da1c55c5a4d75e5b`
+**Source fingerprint (SHA-256):** `effbccb4d239ffb6b575fc547dd54cbb61aa4508502345cb5bef1d66b320926b`
diff --git a/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md b/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md
index 3e2d54ff2..b9230ac40 100644
--- a/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md
@@ -1,9 +1,11 @@
+# TencentTextToModelNode
+
This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from a text description. It sends a request to create a generation task, polls for the result, and downloads the final model files in GLB and OBJ formats.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The version of the Hunyuan3D model to use. The LowPoly option is unavailable for the `3.1` model. | COMBO | Yes | `"3.0"`
`"3.1"` |
| `prompt` | The text description of the 3D model to generate. Supports up to 1024 characters. | STRING | Yes | - |
| `face_count` | The target number of faces for the generated 3D model. Default: 500000. | INT | Yes | 3000 - 1500000 |
@@ -17,7 +19,7 @@ This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from a text de
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | A legacy output for backward compatibility. | STRING |
| `GLB` | The generated 3D model in the GLB file format. | FILE3DGLB |
| `OBJ` | The generated 3D model in the OBJ file format. | FILE3DOBJ |
@@ -26,4 +28,4 @@ This node uses Tencent's Hunyuan3D Pro API to generate a 3D model from a text de
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TencentTextToModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `2e8799d6863a0a7113d22f1637251735a217797679d7a97268910b88d9864e4a`
+**Source fingerprint (SHA-256):** `8110b6a70cdd26d5d0dcb791e654a6292895693e25076b982951c65f787422d6`
diff --git a/comfyui_embedded_docs/docs/TopazImageEnhance/en.md b/comfyui_embedded_docs/docs/TopazImageEnhance/en.md
index fe63e70c3..19fb4daef 100644
--- a/comfyui_embedded_docs/docs/TopazImageEnhance/en.md
+++ b/comfyui_embedded_docs/docs/TopazImageEnhance/en.md
@@ -1,32 +1,34 @@
+# Topaz Image Enhance
+
The Topaz Image Enhance node provides industry-standard upscaling and image enhancement. It processes a single input image using a cloud-based AI model to improve quality, detail, and resolution. The node offers fine-grained control over the enhancement process, including options for creative guidance, subject focus, and facial preservation.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The AI model to use for image enhancement. | COMBO | Yes | `"Reimagine"` |
| `image` | The input image to be enhanced. Only one image is supported. | IMAGE | Yes | - |
-| `prompt` | An optional text prompt for creative upscaling guidance (default: empty). | STRING | No | - |
+| `prompt` | Optional text prompt for creative upscaling guidance (default: empty). | STRING | No | - |
| `subject_detection` | Controls which part of the image the enhancement focuses on (default: "All"). | COMBO | No | `"All"`
`"Foreground"`
`"Background"` |
-| `face_enhancement` | Enable to enhance faces if they are present in the image (default: True). | BOOLEAN | No | - |
-| `face_enhancement_creativity` | Sets the creativity level for face enhancement (default: 0.0). | FLOAT | No | 0.0 - 1.0 |
+| `face_enhancement` | Enhance faces (if present) during processing (default: True). | BOOLEAN | No | - |
+| `face_enhancement_creativity` | Set the creativity level for face enhancement (default: 0.0). | FLOAT | No | 0.0 - 1.0 |
| `face_enhancement_strength` | Controls how sharp enhanced faces are relative to the background (default: 1.0). | FLOAT | No | 0.0 - 1.0 |
-| `crop_to_fill` | By default, the image is letterboxed when the output aspect ratio differs. Enable to crop the image to fill the output dimensions instead (default: False). | BOOLEAN | No | - |
-| `output_width` | The desired width of the output image. A value of 0 means it will be calculated automatically, usually based on the original size or the `output_height` if specified (default: 0). | INT | No | 0 - 32000 |
-| `output_height` | The desired height of the output image. A value of 0 means it will be calculated automatically, usually based on the original size or the `output_width` if specified (default: 0). | INT | No | 0 - 32000 |
+| `crop_to_fill` | By default, the image is letterboxed when the output aspect ratio differs. Enable to crop the image to fill the output dimensions (default: False). | BOOLEAN | No | - |
+| `output_width` | Zero value means to calculate automatically (usually it will be original size or output_height if specified) (default: 0). | INT | No | 0 - 32000 |
+| `output_height` | Zero value means to output in the same height as original or output width (default: 0). | INT | No | 0 - 32000 |
| `creativity` | Controls the overall creativity level of the enhancement (default: 3). | INT | No | 1 - 9 |
-| `face_preservation` | Preserve the facial identity of subjects in the image (default: True). | BOOLEAN | No | - |
-| `color_preservation` | Preserve the original colors of the input image (default: True). | BOOLEAN | No | - |
+| `face_preservation` | Preserve subjects' facial identity (default: True). | BOOLEAN | No | - |
+| `color_preservation` | Preserve the original colors (default: True). | BOOLEAN | No | - |
**Note:** This node can only process a single input image. Providing a batch of multiple images will result in an error.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The enhanced output image. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazImageEnhance/en.md)
---
-**Source fingerprint (SHA-256):** `c569f4873f5e008f62ccae9a93ef40fe79554c003e7e52c5ac91241b0d08978a`
+**Source fingerprint (SHA-256):** `586ebc6aafa40c8bebf1e24904ebf5653b8d3b46b202d9a6850f625ac8845bcf`
diff --git a/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md b/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md
index 7d341226d..b4b13ce0b 100644
--- a/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md
+++ b/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md
@@ -1,9 +1,11 @@
+# Topaz Video Enhance (Legacy)
+
The Topaz Video Enhance node uses an external API to improve video quality. It can upscale video resolution, increase frame rate through interpolation, and apply compression. The node processes an input MP4 video and returns an enhanced version based on the selected settings.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `video` | The input video file to be enhanced. | VIDEO | Yes | - |
| `upscaler_enabled` | Enables or disables the video upscaling feature (default: True). | BOOLEAN | Yes | - |
| `upscaler_model` | The AI model used for upscaling the video. | COMBO | Yes | `"Starlight (Astra) Fast"`
`"Starlight (Astra) Creative"`
`"Starlight Precise 2.5"` |
@@ -17,15 +19,15 @@ The Topaz Video Enhance node uses an external API to improve video quality. It c
| `interpolation_duplicate_threshold` | Detection sensitivity for duplicate frames. (default: 0.01) | FLOAT | No | 0.001 to 0.1 |
| `dynamic_compression_level` | CQP level. (default: "Low") | COMBO | No | `"Low"`
`"Mid"`
`"High"` |
-**Note:** At least one enhancement feature must be enabled. The node will raise an error if both `upscaler_enabled` and `interpolation_enabled` are set to `False`. The input video must be in MP4 format.
+**Note:** At least one enhancement feature must be enabled. The node will raise an error if both `upscaler_enabled` and `interpolation_enabled` are set to False. The input video must be in MP4 format.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The enhanced output video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhance/en.md)
---
-**Source fingerprint (SHA-256):** `ef2d1e62c0000f4d9a99014317db2f1c4e0b8a77334024cf614ec0376058a2f7`
+**Source fingerprint (SHA-256):** `29db853812759574d775041e8984088774bc06f1349ca5390ee53ba668fd12fe`
diff --git a/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md b/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md
index 0edad7661..aadbc757c 100644
--- a/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md
+++ b/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md
@@ -36,4 +36,4 @@ The **Topaz Video Enhance V2** node allows you to upscale and enhance video usin
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TopazVideoEnhanceV2/en.md)
---
-**Source fingerprint (SHA-256):** `3b3df144ecd7de6e0c141cffa30fc7b303e0edc991e714c2f0aaf0e4be903166`
+**Source fingerprint (SHA-256):** `d955e5bae683fa4d7e09e23f7cd06bc077ec5e4ab0b5c4f6d712b8358027998c`
diff --git a/comfyui_embedded_docs/docs/TrainLoraNode/en.md b/comfyui_embedded_docs/docs/TrainLoraNode/en.md
index 6ef522634..47d54b113 100644
--- a/comfyui_embedded_docs/docs/TrainLoraNode/en.md
+++ b/comfyui_embedded_docs/docs/TrainLoraNode/en.md
@@ -1,9 +1,11 @@
+# Train LoRA Node
+
The TrainLoraNode creates and trains a LoRA (Low-Rank Adaptation) model on a diffusion model using provided latents and conditioning data. It allows you to fine-tune a model with custom training parameters, optimizers, and loss functions. The node outputs the trained LoRA weights, a loss history map, and the total training steps completed.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The model to train the LoRA on. | MODEL | Yes | - |
| `latents` | The Latents to use for training, serve as dataset/input of the model. | LATENT | Yes | - |
| `positive` | The positive conditioning to use for training. | CONDITIONING | Yes | - |
@@ -37,7 +39,7 @@ The TrainLoraNode creates and trains a LoRA (Low-Rank Adaptation) model on a dif
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `lora` | The trained LoRA weights that can be saved or applied to other models. | LORA_MODEL |
| `loss_map` | A dictionary containing the training loss values over time. | LOSS_MAP |
| `steps` | The total number of training steps completed (including any previous steps from existing LoRA). | INT |
@@ -45,4 +47,4 @@ The TrainLoraNode creates and trains a LoRA (Low-Rank Adaptation) model on a dif
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TrainLoraNode/en.md)
---
-**Source fingerprint (SHA-256):** `e145145306330099293c8b4bb344ec0a38de690040bd796b84225f54638900c3`
+**Source fingerprint (SHA-256):** `39e88045270d36855442024b62d6a225a58b34842f45ac04fbc6c1ade6768a76`
diff --git a/comfyui_embedded_docs/docs/TripoConversionNode/en.md b/comfyui_embedded_docs/docs/TripoConversionNode/en.md
index 42dac797b..1223ff419 100644
--- a/comfyui_embedded_docs/docs/TripoConversionNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoConversionNode/en.md
@@ -1,9 +1,11 @@
+# Tripo: Convert model
+
The TripoConversionNode converts 3D models between different file formats using the Tripo API. It takes a task ID from a previous Tripo operation (model generation, rigging, or retargeting) and converts the resulting model to your desired format with various export options.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `original_model_task_id` | The task ID from a previous Tripo operation (model generation, rigging, or retargeting) | MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID | Yes | MODEL_TASK_ID
RIG_TASK_ID
RETARGET_TASK_ID |
| `format` | The target file format for the converted 3D model | COMBO | Yes | GLTF
USDZ
FBX
OBJ
STL
3MF |
| `quad` | Whether to convert triangles to quads (default: False) | BOOLEAN | No | True/False |
@@ -29,10 +31,10 @@ The TripoConversionNode converts 3D models between different file formats using
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| *No named outputs* | This node processes the conversion asynchronously and returns the result through the Tripo API system | - |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoConversionNode/en.md)
---
-**Source fingerprint (SHA-256):** `7542fd7ee2307b06e5caa78ce427140fbcb56e8ea383ce327828040330ea1b01`
+**Source fingerprint (SHA-256):** `14aafa9c5fc430eb125bb946eb634dc0e65d63688413fc1cd079677e78b83cbd`
diff --git a/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md b/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md
index 68e085744..207b8ccd9 100644
--- a/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md
@@ -1,9 +1,11 @@
+# ComfyUI Node Documentation: Tripo: Image to Model
+
Generates 3D models synchronously based on a single image using Tripo's API. This node takes an input image and converts it into a 3D model with various customization options for texture, quality, and model properties.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | Input image used to generate the 3D model | IMAGE | Yes | - |
| `model_version` | The model version to use for generation | COMBO | No | `"v1.4"`
`"v3.0"`
`"v3.5"`
`"v3.6"` |
| `style` | Style setting for the generated model (default: "None") | COMBO | No | `"None"`
`"realistic"`
`"cartoon"`
`"sculpture"`
`"low_poly"` |
@@ -23,7 +25,7 @@ Generates 3D models synchronously based on a single image using Tripo's API. Thi
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The generated 3D model file (for backward compatibility only) | STRING |
| `model task_id` | The task ID for tracking the model generation process | MODEL_TASK_ID |
| `GLB` | The generated 3D model in GLB format | FILE3DGLB |
@@ -31,4 +33,4 @@ Generates 3D models synchronously based on a single image using Tripo's API. Thi
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoImageToModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `f12bae7cc766b7ac208243a10970da7719a13d6283d6b6c39444b577cafc7f04`
+**Source fingerprint (SHA-256):** `020243931c5a05655804ce601f23821731725734dc7abd49bba2a554a0a272f6`
diff --git a/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md b/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md
index 945e24c8b..e261bfff9 100644
--- a/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md
@@ -1,10 +1,12 @@
+# ComfyUI Node Documentation: TripoMultiviewToModelNode
+
This node generates 3D models synchronously using Tripo's API by processing up to four images showing different views of an object. It requires a front image and at least one additional view (left, back, or right) to create a complete 3D model with texture and material options.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `image` | Front view image of the object (required) | IMAGE | Yes | - |
+|-----------|-------------|-----------|----------|-------|
+| `image` | Front view image of the object | IMAGE | Yes | - |
| `image_left` | Left view image of the object | IMAGE | No | - |
| `image_back` | Back view image of the object | IMAGE | No | - |
| `image_right` | Right view image of the object | IMAGE | No | - |
@@ -25,7 +27,7 @@ This node generates 3D models synchronously using Tripo's API by processing up t
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | File path or identifier for the generated 3D model (for backward compatibility only) | STRING |
| `model task_id` | Task identifier for tracking the model generation process | MODEL_TASK_ID |
| `GLB` | The generated 3D model file in GLB format | FILE3DGLB |
@@ -33,4 +35,4 @@ This node generates 3D models synchronously using Tripo's API by processing up t
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoMultiviewToModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `f44a39bd15dfd6111be191de81490136280491930ec0aa7159849f137479b089`
+**Source fingerprint (SHA-256):** `17e8b7a72b6d98585daf5c4839f6fdea08f236fb06287dedc4bf8723bdf5c885`
diff --git a/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/en.md b/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/en.md
index a4a39e3c9..801be70c5 100644
--- a/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/en.md
@@ -5,7 +5,7 @@ This node converts a single 2D image into a 3D model using the Tripo P1 API. It
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | The input image to convert to a 3D model. | IMAGE | Yes | - |
| `output_mode` | A dictionary specifying the output mode and quality settings. This parameter controls the type of model generated and its texture quality. The available options are defined by the `_build_p1_output_mode` helper function and include settings for `texture_quality` (e.g., "standard", "high", "ultra") and `image_alignment`. | DICT | Yes | See description |
| `enable_image_autofix` | Pre-process the input image for better generation quality. (default: False) | BOOLEAN | No | True
False |
@@ -18,7 +18,7 @@ This node converts a single 2D image into a 3D model using the Tripo P1 API. It
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The file path to the generated 3D model. This output is provided for backward compatibility only. | STRING |
| `model task_id` | The unique task ID for the model generation request. | MODEL_TASK_ID |
| `GLB` | The generated 3D model in GLB format. | FILE3DGLB |
@@ -26,4 +26,4 @@ This node converts a single 2D image into a 3D model using the Tripo P1 API. It
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1ImageToModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `2ac611603dd6eb88700a8105c19f97a8c4eefe5f4efb23d8854ccc27af590626`
+**Source fingerprint (SHA-256):** `e45f8b77bf5240852c9ad7d065811a4b580ca4f38849d67c7bd62964fb2768b1`
diff --git a/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/en.md b/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/en.md
index 371887c75..b013eab27 100644
--- a/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/en.md
@@ -1,11 +1,11 @@
-## Overview
+# Tripo P1: Multiview to Model
This node generates a 3D model from 2 to 4 reference images of an object or character. You provide images from different angles (front, left, back, right), and the node creates a 3D mesh in GLB format. The front view is required, and you can optionally add any combination of the other three views for better results.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `image` | Front view (0°). Required. | IMAGE | Yes | - |
| `image_left` | Left view (90°), i.e. the subject's left side. | IMAGE | No | - |
| `image_back` | Back view (180°). | IMAGE | No | - |
@@ -22,7 +22,7 @@ This node generates a 3D model from 2 to 4 reference images of an object or char
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The filename of the generated GLB model (for backward compatibility only). | STRING |
| `model_task_id` | The unique task ID for this model generation request. | MODEL_TASK_ID |
| `GLB` | The generated 3D model in GLB format. | FILE3DGLB |
@@ -30,4 +30,4 @@ This node generates a 3D model from 2 to 4 reference images of an object or char
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1MultiviewToModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `29bb87cdc5d3eef891a653c622e8876a37d6e6dc1a43e5c248b184060ead9029`
+**Source fingerprint (SHA-256):** `a9f1b334ca425631b5f841328ff993df82636cf3e3b7d1269c46f2b396155970`
diff --git a/comfyui_embedded_docs/docs/TripoP1TextToModelNode/en.md b/comfyui_embedded_docs/docs/TripoP1TextToModelNode/en.md
index dd7a256e3..2ec8189d0 100644
--- a/comfyui_embedded_docs/docs/TripoP1TextToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoP1TextToModelNode/en.md
@@ -1,11 +1,11 @@
-## Overview
+# Tripo P1: Text to Model
This node generates a 3D model from a text description using the Tripo P1 API. It is optimized for creating low-poly, game-ready meshes with stable topology, making it suitable for real-time applications.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | The text description of the 3D model you want to generate. | STRING | Yes | Up to 1024 characters |
| `negative_prompt` | A text description of what you do not want in the generated model. | STRING | No | Up to 255 characters |
| `output_mode` | Controls the output model's quality and texture settings. This parameter is a dictionary with the following keys:
`texture_quality`: STRING, Range: `"standard"`
`pbr`: BOOLEAN, default: True
`texture`: BOOLEAN, default: True
`subdivision`: INT, default: 0, Range: 0 to 2
`texture_size`: INT, default: 2048, Range: 512 to 4096 (must be a power of 2)
`texture_format`: STRING, Range: `"png"`
`texture_clean`: BOOLEAN, default: False
`texture_seamless`: BOOLEAN, default: False
Default: `{"texture_quality": "standard", "pbr": True, "texture": True, "subdivision": 0, "texture_size": 2048, "texture_format": "png", "texture_clean": False, "texture_seamless": False}` | DICT | Yes | See description |
@@ -19,7 +19,7 @@ This node generates a 3D model from a text description using the Tripo P1 API. I
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The file path to the generated 3D model (for backward compatibility only). | STRING |
| `model task_id` | The unique task ID for the model generation request. | MODEL_TASK_ID |
| `GLB` | The generated 3D model in GLB format. | FILE3DGLB |
@@ -27,4 +27,4 @@ This node generates a 3D model from a text description using the Tripo P1 API. I
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoP1TextToModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `154e75209d65c823d5681b74cd12fe7b2ed37d7b94bf51cac86f343c68f85722`
+**Source fingerprint (SHA-256):** `189b0c301daf29e57962038f5cd8b7045baf12a6903877f155c0befcb5abd297`
diff --git a/comfyui_embedded_docs/docs/TripoRefineNode/en.md b/comfyui_embedded_docs/docs/TripoRefineNode/en.md
index 2e74c8226..6c48290de 100644
--- a/comfyui_embedded_docs/docs/TripoRefineNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoRefineNode/en.md
@@ -1,9 +1,11 @@
+# Tripo: Refine Draft model
+
The TripoRefineNode refines draft 3D models created specifically by Tripo v1.4 models. It takes a model task ID and processes it through the Tripo API to generate an improved version of the model. This node is designed to work exclusively with draft models produced by Tripo v1.4 models.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_task_id` | Must be a v1.4 Tripo model | MODEL_TASK_ID | Yes | - |
**Note:** This node only accepts draft models created by Tripo v1.4 models. Using models from other versions may result in errors.
@@ -11,7 +13,7 @@ The TripoRefineNode refines draft 3D models created specifically by Tripo v1.4 m
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The file path or reference to the refined model (for backward compatibility only) | STRING |
| `model task_id` | The task identifier for the refined model operation | MODEL_TASK_ID |
| `GLB` | The refined 3D model in GLB format | FILE3DGLB |
@@ -19,4 +21,4 @@ The TripoRefineNode refines draft 3D models created specifically by Tripo v1.4 m
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRefineNode/en.md)
---
-**Source fingerprint (SHA-256):** `bb4b17652fd05c489e6151f23461fa79ae090f3b59491775768b32ca2b61d33c`
+**Source fingerprint (SHA-256):** `502064a5f153ed05b985f859f27b26eb5219427a17b876cfebedfdcf3194fe12`
diff --git a/comfyui_embedded_docs/docs/TripoRetargetNode/en.md b/comfyui_embedded_docs/docs/TripoRetargetNode/en.md
index c1b05938d..ac3d504dd 100644
--- a/comfyui_embedded_docs/docs/TripoRetargetNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoRetargetNode/en.md
@@ -1,11 +1,13 @@
+# Tripo: Retarget rigged model
+
The TripoRetargetNode applies predefined animations to 3D character models by retargeting motion data. It takes a previously rigged 3D model and applies one of several preset animations, generating an animated 3D model file as output. The node communicates with the Tripo API to process the animation retargeting operation.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `original_model_task_id` | The task ID of the previously processed rigged 3D model to apply animation to | RIG_TASK_ID | Yes | - |
-| `animation` | The animation preset to apply to the 3D model. Options include humanoid animations (idle, walk, run, dive, climb, jump, slash, shoot, hurt, fall, turn) and creature animations (quadruped walk, hexapod walk, octopod walk, serpentine march, aquatic march). | STRING | Yes | "preset:idle"
"preset:walk"
"preset:run"
"preset:dive"
"preset:climb"
"preset:jump"
"preset:slash"
"preset:shoot"
"preset:hurt"
"preset:fall"
"preset:turn"
"preset:quadruped:walk"
"preset:hexapod:walk"
"preset:octopod:walk"
"preset:serpentine:march"
"preset:aquatic:march" |
+| `animation` | The animation preset to apply to the 3D model. Options include humanoid animations (idle, walk, run, dive, climb, jump, slash, shoot, hurt, fall, turn) and creature animations (quadruped walk, hexapod walk, octopod walk, serpentine march, aquatic march). | STRING | Yes | `"preset:idle"`
`"preset:walk"`
`"preset:run"`
`"preset:dive"`
`"preset:climb"`
`"preset:jump"`
`"preset:slash"`
`"preset:shoot"`
`"preset:hurt"`
`"preset:fall"`
`"preset:turn"`
`"preset:quadruped:walk"`
`"preset:hexapod:walk"`
`"preset:octopod:walk"`
`"preset:serpentine:march"`
`"preset:aquatic:march"` |
| `auth_token_comfy_org` | Authentication token for Comfy.org API access (hidden parameter) | AUTH_TOKEN_COMFY_ORG | No | - |
| `api_key_comfy_org` | API key for Comfy.org service access (hidden parameter) | API_KEY_COMFY_ORG | No | - |
| `unique_id` | Unique identifier for tracking the operation (hidden parameter) | UNIQUE_ID | No | - |
@@ -13,7 +15,7 @@ The TripoRetargetNode applies predefined animations to 3D character models by re
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The generated animated 3D model file (for backward compatibility only) | STRING |
| `retarget task_id` | The task ID for tracking the retargeting operation | RETARGET_TASK_ID |
| `GLB` | The animated 3D model in GLB format | FILE3DGLB |
@@ -21,4 +23,4 @@ The TripoRetargetNode applies predefined animations to 3D character models by re
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRetargetNode/en.md)
---
-**Source fingerprint (SHA-256):** `31d90c0a11a6a57fbc55f2c3b8e0e8e73943f048734e5f2d68711bf000730e0b`
+**Source fingerprint (SHA-256):** `c20ad0b1f59058cbb866e83e236f01ba480b41951ff9486190cb311e6636b33c`
diff --git a/comfyui_embedded_docs/docs/TripoRigNode/en.md b/comfyui_embedded_docs/docs/TripoRigNode/en.md
index 40b522eff..ed92b110f 100644
--- a/comfyui_embedded_docs/docs/TripoRigNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoRigNode/en.md
@@ -1,15 +1,17 @@
+# TripoRigNode
+
The TripoRigNode generates a rigged 3D model from an original model task ID. It sends a request to the Tripo API to create an animated rig in GLB format using the Tripo specification, then polls the API until the rig generation task is complete.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `original_model_task_id` | The task ID of the original 3D model to be rigged | MODEL_TASK_ID | Yes | - |
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The generated rigged 3D model file (kept for backward compatibility) | STRING |
| `rig task_id` | The task ID for tracking the rig generation process | RIG_TASK_ID |
| `GLB` | The generated rigged 3D model in GLB format | FILE3DGLB |
@@ -17,4 +19,4 @@ The TripoRigNode generates a rigged 3D model from an original model task ID. It
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoRigNode/en.md)
---
-**Source fingerprint (SHA-256):** `c00053314112cf1a403d7bf1cf77dcb6cede6b4db83046d459069f2b57bb6de9`
+**Source fingerprint (SHA-256):** `01b2b71097b5bbac33e09e2d81e655a145db1ae30bd704e2cc0cbdd215f0a0a0`
diff --git a/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md b/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md
index 419a97f61..2fcc3a466 100644
--- a/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md
@@ -1,13 +1,15 @@
+# Tripo: Text to Model
+
Generates 3D models synchronously based on a text prompt using Tripo's API. This node takes a text description and creates a 3D model with optional texture and material properties.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text description for generating the 3D model (multiline input) | STRING | Yes | - |
| `negative_prompt` | Text description of what to avoid in the generated model (multiline input) | STRING | No | - |
| `model_version` | The version of the Tripo model to use for generation (default: v2.5-20250123) | COMBO | No | `v1.4`
`v2.0`
`v2.5-20250123`
`v3.0` |
-| `style` | Style setting for the generated model (default: "None") | COMBO | No | `None`
`sculpture`
`low-poly`
`voxel`
`brick`
`clay`
`marble`
`origami`
`papercraft`
`pixel-art`
`tile`
`cartoon`
`fantasy`
`hand-drawn`
`illustration`
`isometric`
`pixel-art`
`sketch`
`stained-glass`
`steampunk`
`vector`
`watercolor` |
+| `style` | Style setting for the generated model (default: "None") | COMBO | No | `None`
`sculpture`
`low-poly`
`voxel`
`brick`
`clay`
`marble`
`origami`
`papercraft`
`pixel-art`
`tile`
`cartoon`
`fantasy`
`hand-drawn`
`illustration`
`isometric`
`sketch`
`stained-glass`
`steampunk`
`vector`
`watercolor` |
| `texture` | Whether to generate textures for the model (default: True) | BOOLEAN | No | - |
| `pbr` | Whether to generate PBR (Physically Based Rendering) materials (default: True) | BOOLEAN | No | - |
| `image_seed` | Random seed for image generation (default: 42) | INT | No | - |
@@ -23,7 +25,7 @@ Generates 3D models synchronously based on a text prompt using Tripo's API. This
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The generated 3D model file (for backward compatibility only) | STRING |
| `model task_id` | The unique task identifier for the model generation process | MODEL_TASK_ID |
| `GLB` | The generated 3D model in GLB format | FILE3DGLB |
@@ -31,4 +33,4 @@ Generates 3D models synchronously based on a text prompt using Tripo's API. This
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextToModelNode/en.md)
---
-**Source fingerprint (SHA-256):** `6cd6fefff0fbda14729b68383209eded6eb2e779ccf39dd2e03c0ddf04859372`
+**Source fingerprint (SHA-256):** `7fb03aedc1481d95c6dcbdc1be1cd8087fb5104473d58d29827eb85b397129b8`
diff --git a/comfyui_embedded_docs/docs/TripoTextureNode/en.md b/comfyui_embedded_docs/docs/TripoTextureNode/en.md
index 772d87d4e..5e3c48a45 100644
--- a/comfyui_embedded_docs/docs/TripoTextureNode/en.md
+++ b/comfyui_embedded_docs/docs/TripoTextureNode/en.md
@@ -1,9 +1,11 @@
+# TripoTextureNode
+
The TripoTextureNode generates textured 3D models using the Tripo API. It takes a model task ID and applies texture generation with various options including PBR materials, texture quality settings, and alignment methods. The node communicates with the Tripo API to process the texture generation request and returns the resulting model file and task ID.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model_task_id` | The task ID of the model to apply textures to | MODEL_TASK_ID | Yes | - |
| `texture` | Whether to generate textures (default: True) | BOOLEAN | No | - |
| `pbr` | Whether to generate PBR (Physically Based Rendering) materials (default: True) | BOOLEAN | No | - |
@@ -16,7 +18,7 @@ The TripoTextureNode generates textured 3D models using the Tripo API. It takes
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `model_file` | The generated model file with applied textures (for backward compatibility only) | STRING |
| `model task_id` | The task ID for tracking the texture generation process | MODEL_TASK_ID |
| `GLB` | The generated 3D model in GLB format with applied textures | FILE3DGLB |
@@ -24,4 +26,4 @@ The TripoTextureNode generates textured 3D models using the Tripo API. It takes
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/TripoTextureNode/en.md)
---
-**Source fingerprint (SHA-256):** `dca49933b1b892df38004adc34ab0d95cdcb32d3e38db0e66b260ab7a58dcea5`
+**Source fingerprint (SHA-256):** `6dee13c5785486cc560a250e35234ebed9a544bcf6e30e6babbbb09c1314bbe1`
diff --git a/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md b/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md
index b00b71b2a..3617b9019 100644
--- a/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md
+++ b/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md
@@ -1,9 +1,11 @@
+# Google Veo 3 First-Last-Frame to Video
+
The Veo3FirstLastFrameNode uses Google's Veo 3 model to generate a video based on a text prompt, with a provided first and last frame that define the start and end of the video sequence.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text description of the video (default: empty string). | STRING | Yes | N/A |
| `negative_prompt` | Negative text prompt to guide what to avoid in the video (default: empty string). | STRING | No | N/A |
| `resolution` | The resolution of the output video. | COMBO | Yes | `"720p"`
`"1080p"`
`"4k"` |
@@ -12,7 +14,7 @@ The Veo3FirstLastFrameNode uses Google's Veo 3 model to generate a video based o
| `seed` | Seed for video generation (default: 0). | INT | No | 0 to 4294967295 |
| `first_frame` | The start frame for the video. | IMAGE | Yes | N/A |
| `last_frame` | The end frame for the video. | IMAGE | Yes | N/A |
-| `model` | The specific Veo 3 model to use for generation (default: "veo-3.1-generate"). | COMBO | No | `"veo-3.1-generate"`
`"veo-3.1-fast-generate"`
`"veo-3.1-lite"` |
+| `model` | The specific Veo model to use for generation (default: "veo-3.1-generate"). | COMBO | No | `"veo-3.1-generate"`
`"veo-3.1-fast-generate"`
`"veo-3.1-lite"` |
| `generate_audio` | Generate audio for the video (default: True). | BOOLEAN | No | N/A |
**Note:** The `veo-3.1-lite` model does not support 4K resolution. If you select `veo-3.1-lite` and `4k` resolution, an error will occur.
@@ -20,10 +22,10 @@ The Veo3FirstLastFrameNode uses Google's Veo 3 model to generate a video based o
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3FirstLastFrameNode/en.md)
---
-**Source fingerprint (SHA-256):** `63d2cf6b636bff6e8bc4efc8b795cb63f6cd775e040323e290986266029109b3`
+**Source fingerprint (SHA-256):** `2fe55d2a1d018e58fd290c901c596708898acda835d2358adf36ed80103aeb6e`
diff --git a/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md b/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md
index e4d1d993d..24a679d21 100644
--- a/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md
+++ b/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md
@@ -1,9 +1,11 @@
+# Google Veo 3 Video Generation Node
+
Generates videos from text prompts using Google's Veo 3 API. This node supports multiple Veo 3 models, including fast and lite variants, and allows you to specify video resolution, duration, and audio generation.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text description of the video (default: "") | STRING | Yes | - |
| `aspect_ratio` | Aspect ratio of the output video (default: "16:9") | COMBO | Yes | "16:9"
"9:16" |
| `resolution` | Output video resolution. 4K is not available for veo-3.1-lite and veo-3.0 models. (default: "720p") | COMBO | No | "720p"
"1080p"
"4k" |
@@ -21,10 +23,10 @@ Generates videos from text prompts using Google's Veo 3 API. This node supports
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Veo3VideoGenerationNode/en.md)
---
-**Source fingerprint (SHA-256):** `d19071ba853a846c797bc88d4a803357563f144ea9071fc79fc4203ea40f1a81`
+**Source fingerprint (SHA-256):** `8aa8c5050343867ce6c684d4d378d0f444bb88d1edc8830541bfc28e5e238eab`
diff --git a/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md b/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md
index fd48f0973..7eb5ed8e0 100644
--- a/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md
+++ b/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md
@@ -1,9 +1,11 @@
+# Google Veo Video Generation Node
+
Generates videos from text prompts using Google's Veo API. This node can create videos from text descriptions and optional image inputs, with control over parameters like aspect ratio, duration, and more.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `prompt` | Text description of the video (default: empty) | STRING | Yes | - |
| `aspect_ratio` | Aspect ratio of the output video (default: "16:9") | COMBO | Yes | "16:9"
"9:16" |
| `negative_prompt` | Negative text prompt to guide what to avoid in the video (default: empty) | STRING | No | - |
@@ -19,10 +21,10 @@ Generates videos from text prompts using Google's Veo API. This node can create
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/VeoVideoGenerationNode/en.md)
---
-**Source fingerprint (SHA-256):** `abb403ceddb16511988e4ac98ae126c7d6de3bf2f25789189fc05d72f475ca95`
+**Source fingerprint (SHA-256):** `055569f26c7e8f074371239f12f307ca86ce2aa5fd17ca55dd951b34f71fa559`
diff --git a/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md
index e8f6aca0a..6584fd413 100644
--- a/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md
@@ -1,9 +1,11 @@
+# Vidu2 Image-to-Video Generation
+
The Vidu2 Image-to-Video Generation node creates a video sequence starting from a single input image. It uses a specified Vidu2 model to animate the scene based on an optional text prompt, controlling the video's length, resolution, and the intensity of motion.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The Vidu2 model to use for video generation. Different models offer varying speed and quality trade-offs. | COMBO | Yes | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` |
| `image` | An image to be used as the start frame of the generated video. Only one image is allowed. | IMAGE | Yes | - |
| `prompt` | An optional text prompt for video generation (max 2000 characters). Default is an empty string. | STRING | No | - |
@@ -14,17 +16,17 @@ The Vidu2 Image-to-Video Generation node creates a video sequence starting from
**Constraints:**
-* The `image` input must contain exactly one image.
-* The input image's aspect ratio must be between 1:4 and 4:1.
-* The `prompt` text is limited to a maximum of 2000 characters.
+- The `image` input must contain exactly one image.
+- The input image's aspect ratio must be between 1:4 and 4:1.
+- The `prompt` text is limited to a maximum of 2000 characters.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ImageToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `5311b64380bf089b846d5ac0c32330e021b79754cf2f3cac41f71ca1da3ffdda`
+**Source fingerprint (SHA-256):** `4cf56654286561f3d211ce50d0dce141880fe0e0a63aa45ab41ae0ff5ab6ccc3`
diff --git a/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md
index 57d32179b..ecfcb6cd8 100644
--- a/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md
@@ -1,9 +1,11 @@
+# Vidu2 Reference-to-Video Generation Node
+
The Vidu2 Reference-to-Video Generation node creates a video from a text prompt and multiple reference images. You can define up to seven subjects, each with its own set of reference images, and reference them in the prompt using `@subject{subject_id}`. The node generates a video with configurable duration, aspect ratio, and movement.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The AI model to use for video generation. | COMBO | Yes | `"viduq2"` |
| `subjects` | For each subject, provide up to 3 reference images (7 images total across all subjects). Reference them in prompts via `@subject{subject_id}`. | AUTOGROW | Yes | N/A |
| `prompt` | The text description used to guide the video generation. When the `audio` parameter is enabled, the video will include generated speech and background music based on this prompt. | STRING | Yes | N/A |
@@ -25,10 +27,10 @@ The Vidu2 Reference-to-Video Generation node creates a video from a text prompt
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2ReferenceVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `73366d1ae9d64428141a7f9de3f9632f12e41918f85771a9a41619564c88ed38`
+**Source fingerprint (SHA-256):** `da4b0a24e186f24cff8031c786bb765299b00bbfa13cc4161d53d3a68e466744`
diff --git a/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md
index e537f13de..296bcd3f7 100644
--- a/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md
@@ -1,27 +1,29 @@
+# Vidu2 Start/End Frame-to-Video Generation
+
This node generates a video by interpolating between a provided start frame and an end frame, guided by a text prompt. It uses a specified Vidu model to create a smooth transition between the two images over a set duration.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The Vidu model to use for video generation. | COMBO | Yes | `"viduq2-pro-fast"`
`"viduq2-pro"`
`"viduq2-turbo"` |
| `first_frame` | The starting image for the video sequence. Only a single image is allowed. | IMAGE | Yes | - |
| `end_frame` | The ending image for the video sequence. Only a single image is allowed. | IMAGE | Yes | - |
-| `prompt` | A text description guiding the video generation (maximum 2000 characters). | STRING | Yes | - |
+| `prompt` | Prompt description (max 2000 characters). | STRING | Yes | - |
| `duration` | The length of the generated video in seconds (default: 5). | INT | No | 2 to 8 |
| `seed` | A number used to initialize the random generation for reproducible results (default: 1). | INT | No | 0 to 2147483647 |
| `resolution` | The output resolution of the generated video. | COMBO | No | `"720p"`
`"1080p"` |
| `movement_amplitude` | The movement amplitude of objects in the frame. | COMBO | No | `"auto"`
`"small"`
`"medium"`
`"large"` |
-**Note:** The `first_frame` and `end_frame` images must have similar aspect ratios. The node will validate that their aspect ratios are within a relative range of 0.8 to 1.25.
+**Note:** The `first_frame` and `end_frame` images must have similar aspect ratios. The node validates that their aspect ratios are within a relative range of 0.8 to 1.25. Only one image is allowed for each input.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2StartEndToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `4d4caf53387132c420fe0bb0eea581e6784bdc59243607c6440d6548f70f859b`
+**Source fingerprint (SHA-256):** `01316d15f95f264cadfb33978565fc320a9f42917693faa87c1367c0f31ca400`
diff --git a/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md
index f15f1ceae..9fc2cf68a 100644
--- a/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md
@@ -1,3 +1,5 @@
+# Vidu2 Text-to-Video Generation Node
+
The Vidu2 Text-to-Video Generation node creates a video from a text description. It connects to an external API to generate video content based on your prompt, allowing you to control the video's length, visual style, and format.
## Inputs
@@ -21,4 +23,4 @@ The Vidu2 Text-to-Video Generation node creates a video from a text description.
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu2TextToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `eec93de5d781474f919001a4d78525d80478852424506fae245f445d1ef3b0ee`
+**Source fingerprint (SHA-256):** `27b7c05ae1b3b23d07e775f67474ecef1ffc0bd8240f4aa2219e15949d854f27`
diff --git a/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md
index 2d71f4427..80115d7ad 100644
--- a/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md
@@ -1,13 +1,15 @@
+# Vidu Q3 Image-to-Video Generation
+
The Vidu Q3 Image-to-Video Generation node creates a video sequence starting from an input image. It uses a Vidu Q3 model to animate the image, optionally guided by a text prompt, and outputs a video file.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | Model to use for video generation. | COMBO | Yes | `"viduq3-pro"`
`"viduq3-turbo"` |
| `model.resolution` | Resolution of the output video. The available options depend on the selected model. | COMBO | Yes | `"720p"`
`"1080p"`
`"2K"` (viduq3-pro only) |
| `model.duration` | Duration of the output video in seconds (default: 5). | INT | Yes | 1 to 16 |
-| `model.audio` | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). | BOOLEAN | Yes | `True` / `False` |
+| `model.audio` | When enabled, outputs video with sound (including dialogue and sound effects) (default: False). | BOOLEAN | Yes | `True`
`False` |
| `image` | An image to be used as the start frame of the generated video. | IMAGE | Yes | - |
| `prompt` | An optional text prompt for video generation (max 2000 characters) (default: empty). | STRING | No | - |
| `seed` | A seed value for controlling the randomness of the generation (default: 1). | INT | No | 0 to 2147483647 |
@@ -17,10 +19,10 @@ The Vidu Q3 Image-to-Video Generation node creates a video sequence starting fro
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3ImageToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `5081dcbad3e9203c7a1b5ddc0d041d51e1961a2e0a0672c2e14cba2f839f562d`
+**Source fingerprint (SHA-256):** `77500d1e19928128decc010540670e311cd8ec4fcad913412517f47f0e27e15f`
diff --git a/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md
index 20873de1b..6f5fefa10 100644
--- a/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md
@@ -1,9 +1,11 @@
+# Vidu Q3 Start/End Frame-to-Video Generation
+
This node generates a video by interpolating between a provided start frame and an end frame, guided by a text prompt. It uses the Vidu Q3 model to create a seamless transition between the two images, producing a video of a specified duration and resolution.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The model to use for video generation. Selecting an option reveals additional configuration parameters for `resolution`, `duration`, and `audio`. | COMBO | Yes | `"viduq3-pro"`
`"viduq3-turbo"` |
| `model.resolution` | Resolution of the output video. This parameter is revealed after selecting a `model`. | COMBO | Yes | `"720p"`
`"1080p"` |
| `model.duration` | Duration of the output video in seconds (default: 5). This parameter is revealed after selecting a `model`. | INT | Yes | 1 to 16 |
@@ -18,10 +20,10 @@ This node generates a video by interpolating between a provided start frame and
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `video` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3StartEndToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `a3a1befd61a011ccc9912972d07506c2e851ca94cda3f83fcc1faa8a1dc3905c`
+**Source fingerprint (SHA-256):** `c917867c5a7b68a1286f445025070f9a55d8d10091d9562960e0428cbedf25e4`
diff --git a/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md b/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md
index 2fad76adb..ad5848c30 100644
--- a/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md
@@ -1,3 +1,5 @@
+# Vidu Q3 Text-to-Video Generation
+
The Vidu Q3 Text-to-Video Generation node creates a video from a text description. It uses the Vidu Q3 Pro or Q3 Turbo model to generate video content based on your prompt, allowing you to control the video's length, resolution, aspect ratio, and whether it includes audio.
## Inputs
@@ -23,4 +25,4 @@ The Vidu Q3 Text-to-Video Generation node creates a video from a text descriptio
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Vidu3TextToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `d135d453159d113f9198b7510838c5ce5feefbf3cb7b318a55df95e6d26aa7a9`
+**Source fingerprint (SHA-256):** `89c23454375a43cdfaf46c9e0e55a8a8166d02ada47ca2e237bd9f73fa4d78db`
diff --git a/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md b/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md
index 07d39f2e6..9a692c913 100644
--- a/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md
@@ -1,14 +1,16 @@
+# ViduExtendVideoNode
+
The ViduExtendVideoNode generates additional frames to extend the length of an existing video. It uses a specified AI model to create a seamless continuation based on the source video and an optional text prompt.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
-| `model` | The AI model to use for video extension. Selecting a model reveals its specific duration and resolution settings. | COMBO | Yes | `"viduq2-pro"`
`"viduq2-turbo"` |
-| `model.duration` | The duration of the extended video in seconds (default: 4). This setting appears after selecting a model. | INT | Yes | 1 to 7 |
-| `model.resolution` | The resolution of the output video. This setting appears after selecting a model. | COMBO | Yes | `"720p"`
`"1080p"` |
+|-----------|-------------|-----------|----------|-------|
+| `model` | Model to use for video extension. Selecting a model reveals its specific duration and resolution settings. | COMBO | Yes | `"viduq2-pro"`
`"viduq2-turbo"` |
+| `model.duration` | Duration of the extended video in seconds (default: 4). This setting appears after selecting a model. | INT | Yes | 1 to 7 |
+| `model.resolution` | Resolution of the output video. This setting appears after selecting a model. | COMBO | Yes | `"720p"`
`"1080p"` |
| `video` | The source video to extend. | VIDEO | Yes | - |
-| `prompt` | An optional text prompt to guide the content of the extended video (max 2000 characters, default: empty). | STRING | No | - |
+| `prompt` | An optional text prompt for the extended video (max 2000 characters, default: empty). | STRING | No | - |
| `seed` | A seed value for controlling the randomness of the generation (default: 1). | INT | No | 0 to 2147483647 |
| `end_frame` | An optional image to use as the target end frame for the extension. If provided, its aspect ratio must be between 1:4 and 4:1, and its dimensions must be at least 128x128 pixels. | IMAGE | No | - |
@@ -17,10 +19,10 @@ The ViduExtendVideoNode generates additional frames to extend the length of an e
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The newly generated video file containing the extended footage. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduExtendVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `067eda95bf7738fec1b68fb496b6309dab5f56c57ab4d7d92a3a5e50239c17c8`
+**Source fingerprint (SHA-256):** `bfa79dd1aee8a3e56d95fe7a899454b5c5f93679e098f59fc3bf58d93d290819`
diff --git a/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md b/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md
index 44639ef14..3f59fabda 100644
--- a/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md
@@ -1,9 +1,11 @@
+# Vidu Image To Video Generation
+
The Vidu Image To Video Generation node creates a short video from a starting image and an optional text description. It uses an AI model to generate video content that continues from the provided image frame, and returns the resulting video.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | Model name (default: viduq1) | COMBO | Yes | `viduq1` |
| `image` | An image to be used as the start frame of the generated video | IMAGE | Yes | - |
| `prompt` | A textual description for video generation (default: empty) | STRING | No | - |
@@ -20,10 +22,10 @@ The Vidu Image To Video Generation node creates a short video from a starting im
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video output | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduImageToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `2364ee527cbc37905e973ae1870499040eea4ed94ab8ed789d3c85af857f5488`
+**Source fingerprint (SHA-256):** `9e3b1ba325c44fcd03207f93030eba1a66507f9613d93135546ab7b6f37f7699`
diff --git a/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md b/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md
index 5710cc8c0..a2d3516d1 100644
--- a/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md
@@ -1,9 +1,11 @@
+# Vidu Multi-Frame Video Generation
+
This node generates a video by creating transitions between multiple keyframes. It starts from an initial image and animates through a sequence of user-defined end images and prompts, producing a single video file as output.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The Vidu model to use for video generation. | COMBO | Yes | `"viduq2-pro"`
`"viduq2-turbo"` |
| `start_image` | The starting frame image. Aspect ratio must be between 1:4 and 4:1. | IMAGE | Yes | - |
| `seed` | A seed value for random number generation to ensure reproducible results (default: 1). | INT | No | 0 to 2147483647 |
@@ -11,6 +13,7 @@ This node generates a video by creating transitions between multiple keyframes.
| `frames` | Number of keyframe transitions (2-9). Selecting a value dynamically reveals the required inputs for each frame. | DYNAMICCOMBO | Yes | `"2"`
`"3"`
`"4"`
`"5"`
`"6"`
`"7"`
`"8"`
`"9"` |
**Frame Inputs (Dynamically Revealed):**
+
When you select a value for `frames` (e.g., "3"), the node will show a corresponding set of required inputs for each transition. For each frame `i` from 1 to the selected number, you must provide:
* `end_image{i}` (IMAGE): The target image for this transition. Aspect ratio must be between 1:4 and 4:1.
@@ -20,10 +23,10 @@ When you select a value for `frames` (e.g., "3"), the node will show a correspon
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file containing all the animated transitions. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduMultiFrameVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `06c3236589dd6067c5dd0a430e062686adb3e878542f8382e022a3fafe81507b`
+**Source fingerprint (SHA-256):** `ad877532ba27444938b7b2e4634ac7f8a47db0f7fb53967d874ad38b44336dcf`
diff --git a/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md b/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md
index 9234bcabd..43b335606 100644
--- a/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md
@@ -1,9 +1,11 @@
+# Vidu Reference To Video Generation
+
The Vidu Reference Video Node generates videos from multiple reference images and a text prompt. It uses AI models to create consistent video content based on the provided images and description. The node supports various video settings including duration, aspect ratio, resolution, and movement control.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | Model name for video generation (default: "viduq1") | COMBO | Yes | `"viduq1"` |
| `images` | Images to use as references to generate a video with consistent subjects (maximum 7 images) | IMAGE | Yes | - |
| `prompt` | A textual description for video generation | STRING | Yes | - |
@@ -24,10 +26,10 @@ The Vidu Reference Video Node generates videos from multiple reference images an
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video based on the reference images and prompt | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduReferenceVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `ac86287d93257105446a5af42efd7d7fc07738fb7fcd0b260b8049a98552f193`
+**Source fingerprint (SHA-256):** `087ce07dbf0bdad9dcb1f1487dd95cf1b50d627cc8b1f8a17ff26d74016c2c3e`
diff --git a/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md b/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md
index 899c3555f..2249484f1 100644
--- a/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md
@@ -1,9 +1,11 @@
+# Vidu Start End To Video Generation
+
The Vidu Start End To Video Generation node creates a video by generating frames between a starting frame and an ending frame. It uses a text prompt to guide the video generation process and supports various video models with different resolution and movement settings. The node validates that the start and end frames have compatible aspect ratios before processing.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | Model name | COMBO | Yes | `"viduq1"` |
| `first_frame` | Start frame | IMAGE | Yes | - |
| `end_frame` | End frame | IMAGE | Yes | - |
@@ -18,10 +20,10 @@ The Vidu Start End To Video Generation node creates a video by generating frames
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduStartEndToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `bffb4d3e90b1c6a1a3a7cc864a44ab96bac0be90411be791f9ffb15b9a50c6b6`
+**Source fingerprint (SHA-256):** `5e8a566373fac84111e90d00c00a6932a23e827f9b4669950c223256c08dd96c`
diff --git a/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md b/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md
index fd448ea25..22bb3f8e2 100644
--- a/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md
+++ b/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md
@@ -1,9 +1,11 @@
+# Vidu Text To Video Generation Node
+
The Vidu Text To Video Generation node creates videos from text descriptions. It uses the Vidu video generation model to transform your text prompts into video content with customizable settings for duration, aspect ratio, and visual style.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | Model name | COMBO | Yes | `viduq1` |
| `prompt` | A textual description for video generation | STRING | Yes | - |
| `duration` | Duration of the output video in seconds (default: 5) | INT | No | 5-5 |
@@ -17,10 +19,10 @@ The Vidu Text To Video Generation node creates videos from text descriptions. It
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video based on the text prompt | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ViduTextToVideoNode/en.md)
---
-**Source fingerprint (SHA-256):** `33ca2a60d7914e7b9ab65fbf166e1ba5388d53134cd56ef59acdcbfada5f999d`
+**Source fingerprint (SHA-256):** `913efbb516c40e03ced1fef59905c7efa7737f0506368c9afcacb3b65aa4af66`
diff --git a/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md b/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md
index 3244968a9..fca8be303 100644
--- a/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md
@@ -1,3 +1,5 @@
+# Wan 2.7 Image to Video
+
The Wan 2.7 Image to Video node generates a video starting from a first-frame image. You can optionally provide a last-frame image to create a transition between the two, or provide an audio file to guide the video's motion and timing. The node uses an AI model to animate the scene based on your text description.
## Inputs
@@ -27,4 +29,4 @@ The Wan 2.7 Image to Video node generates a video starting from a first-frame im
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ImageToVideoApi/en.md)
---
-**Source fingerprint (SHA-256):** `db5e4e26a407c71e2b79179d32cdad926db5af16461f2aa565eab544295df7ff`
+**Source fingerprint (SHA-256):** `81b0dc9500ff00e1428422d3d9c8df8f790c1d9dec547dcba0d1aa239f8a8beb`
diff --git a/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md b/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md
index 0bdba3534..7b5efe181 100644
--- a/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md
@@ -1,3 +1,5 @@
+# Wan 2.7 Reference to Video
+
This node generates a video featuring a person or object based on provided reference materials. It uses the Wan 2.7 model to create videos from a text prompt, supporting single-character performances and multi-character interactions. You must provide at least one reference video or image for the generation to work.
## Inputs
@@ -28,4 +30,4 @@ This node generates a video featuring a person or object based on provided refer
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2ReferenceVideoApi/en.md)
---
-**Source fingerprint (SHA-256):** `83550e1193a13c3686506a279c0a8469be93be564dd27867e31b8b2724e7025d`
+**Source fingerprint (SHA-256):** `52ac550522bf3fe8f57444ce8586fe83be470b893ff8c01292743553cfbd623d`
diff --git a/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md b/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md
index f56fe0892..155f75688 100644
--- a/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md
@@ -1,9 +1,11 @@
+# Wan 2.7 Text to Video
+
This node generates a video from a text description using the Wan 2.7 model. It sends your request to an external API, which processes the prompt and returns a video file. You can optionally provide an audio clip to influence the video's motion and timing.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The specific model to use for video generation. | COMBO | Yes | `"wan2.7-t2v"` |
| `model.prompt` | A description of the elements and visual features you want in the video. Supports English and Chinese. | STRING | Yes | - |
| `model.negative_prompt` | A description of elements or features you want to avoid in the generated video. | STRING | No | - |
@@ -20,10 +22,10 @@ This node generates a video from a text description using the Wan 2.7 model. It
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2TextToVideoApi/en.md)
---
-**Source fingerprint (SHA-256):** `1eb775421209047ad06ffc210c6588c64fd39a8828a69d6fcc2b79360df311e3`
+**Source fingerprint (SHA-256):** `2b35fb3e897f8c5fb9786576f4e314cb6709527a3cdc4f2eb9f0600d09076835`
diff --git a/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md b/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md
index b334687be..0fbdf911f 100644
--- a/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md
+++ b/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md
@@ -1,9 +1,11 @@
+# Wan 2.7 Video Continuation
+
The Wan 2.7 Video Continuation node generates a new video segment that continues seamlessly from the end of an input video clip. It uses the Wan 2.7 model to synthesize the continuation based on a text prompt and can optionally guide the ending towards a specific target frame.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The video generation model to use. | COMBO | Yes | `"wan2.7-i2v"` |
| `model.prompt` | Prompt describing the elements and visual features. Supports English and Chinese. (default: empty string) | STRING | Yes | - |
| `model.negative_prompt` | Negative prompt describing what to avoid. (default: empty string) | STRING | Yes | - |
@@ -20,10 +22,10 @@ The Wan 2.7 Video Continuation node generates a new video segment that continues
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video continuation. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoContinuationApi/en.md)
---
-**Source fingerprint (SHA-256):** `44f71824f1289351fe44ff0f830ee391d2387146444f50ba50309ecba2e54456`
+**Source fingerprint (SHA-256):** `591e551676969bc1fedb5f820f6866512c132bb98ee8ef1766d1e0b389e2dc11`
diff --git a/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md b/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md
index e15e7df00..eaf476895 100644
--- a/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md
+++ b/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md
@@ -1,9 +1,11 @@
+# Wan2VideoEditApi Node Documentation
+
The Wan2VideoEditApi node uses the Wan 2.7 model to edit a video based on text instructions, reference images, or style transfer. It processes the input video and generates a new video according to the specified parameters like resolution, duration, and aspect ratio.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The model to use for video editing. | COMBO | Yes | `"wan2.7-videoedit"` |
| `model.prompt` | Editing instructions or style transfer requirements. (default: empty string) | STRING | Yes | - |
| `model.resolution` | The resolution for the output video. | COMBO | Yes | `"720P"`
`"1080P"` |
@@ -23,10 +25,10 @@ The Wan2VideoEditApi node uses the Wan 2.7 model to edit a video based on text i
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The edited video generated by the model. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Wan2VideoEditApi/en.md)
---
-**Source fingerprint (SHA-256):** `1ea6cacbf8f5b6666e164c4806d931d21ddd44568e5c9f6d44f389288f5ce84f`
+**Source fingerprint (SHA-256):** `27283273ee56c90903db103a3e9bc17dc4df0914676c9aedd2a115b07937dc10`
diff --git a/comfyui_embedded_docs/docs/WanImageToImageApi/en.md b/comfyui_embedded_docs/docs/WanImageToImageApi/en.md
index a09692fdb..c747d5e00 100644
--- a/comfyui_embedded_docs/docs/WanImageToImageApi/en.md
+++ b/comfyui_embedded_docs/docs/WanImageToImageApi/en.md
@@ -1,11 +1,13 @@
+# Wan Image to Image Node
+
The Wan Image to Image node generates an image from one or two input images and a text prompt. It transforms your input images based on the description you provide, creating a new image that maintains the aspect ratio of your original input. The output image is fixed at 1.6 megapixels regardless of the input size.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | Model to use (default: "wan2.5-i2i-preview"). | COMBO | Yes | "wan2.5-i2i-preview" |
-| `image` | Single-image editing or multi-image fusion, maximum 2 images. | IMAGE | Yes | - |
+| `image` | Single-image editing or multi-image fusion. Maximum 2 images. | IMAGE | Yes | - |
| `prompt` | Prompt describing the elements and visual features. Supports English and Chinese (default: empty). | STRING | Yes | - |
| `negative_prompt` | Negative prompt describing what to avoid (default: empty). | STRING | No | - |
| `seed` | Seed to use for generation (default: 0). | INT | No | 0 to 2147483647 |
@@ -16,10 +18,10 @@ The Wan Image to Image node generates an image from one or two input images and
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The generated image based on the input images and text prompts. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToImageApi/en.md)
---
-**Source fingerprint (SHA-256):** `c9afd38e3df8c080f489c4b569ea647eab5718fa78d95c65e294706344bb8067`
+**Source fingerprint (SHA-256):** `e78e5fb43d92c839448d3449b89445fb5db081ee8c947e44edcc048b8740f45d`
diff --git a/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md b/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md
index 79f7a1f43..6a2330039 100644
--- a/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md
@@ -1,3 +1,5 @@
+# Wan Image to Video
+
The Wan Image to Video node generates a video from a single input image and a text prompt. It uses the provided image as the first frame and creates a video sequence based on the description, with options for resolution, duration, audio, and other advanced settings.
## Inputs
@@ -33,4 +35,4 @@ The Wan Image to Video node generates a video from a single input image and a te
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanImageToVideoApi/en.md)
---
-**Source fingerprint (SHA-256):** `b8a75e324f7436e8a376e4a058b0a32556cafbe8e7975148cbc6302638f52058`
+**Source fingerprint (SHA-256):** `dabcbfa3118669d9ff5b40b79ef643ffcf7ac5e510e61d6ad859d80360061673`
diff --git a/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md b/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md
index d57c5a2d0..a930482e6 100644
--- a/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md
@@ -1,15 +1,17 @@
+# Wan Reference to Video Node
+
The Wan Reference to Video node uses the visual appearance and voice from one or more input reference videos, along with a text prompt, to generate a new video. It maintains consistency with the characters from the reference material while creating new content based on your description.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The specific AI model to use for video generation. | COMBO | Yes | `"wan2.6-r2v"` |
| `prompt` | A description of the elements and visual features for the new video. Supports English and Chinese. Use identifiers like `character1` and `character2` to refer to the characters from the reference videos. | STRING | Yes | - |
| `negative_prompt` | A description of elements or features to avoid in the generated video. | STRING | No | - |
| `reference_videos` | A list of video inputs used as references for character appearance and voice. You must provide at least one video. Each video can be assigned a name like `character1`, `character2`, or `character3`. | AUTOGROW | Yes | - |
| `size` | The resolution and aspect ratio for the output video. | COMBO | Yes | `"720p: 1:1 (960x960)"`
`"720p: 16:9 (1280x720)"`
`"720p: 9:16 (720x1280)"`
`"720p: 4:3 (1088x832)"`
`"720p: 3:4 (832x1088)"`
`"1080p: 1:1 (1440x1440)"`
`"1080p: 16:9 (1920x1080)"`
`"1080p: 9:16 (1080x1920)"`
`"1080p: 4:3 (1632x1248)"`
`"1080p: 3:4 (1248x1632)"` |
-| `duration` | The length of the generated video in seconds. The value must be a multiple of 5 (default: 5). | INT | Yes | 5 to 10 |
+| `duration` | The length of the generated video in seconds (default: 5). | INT | Yes | 5 to 10 |
| `seed` | A random seed value for reproducible results. A value of 0 will generate a random seed. | INT | No | 0 to 2147483647 |
| `shot_type` | Specifies whether the generated video is a single continuous shot or contains multiple shots with cuts. | COMBO | Yes | `"single"`
`"multi"` |
| `watermark` | When enabled, an AI-generated watermark is added to the final video (default: False). | BOOLEAN | No | - |
@@ -17,15 +19,15 @@ The Wan Reference to Video node uses the visual appearance and voice from one or
**Constraints:**
* Each video provided in `reference_videos` must be between 2 and 30 seconds in duration.
-* The `duration` parameter is limited to specific values (5 or 10 seconds).
+* The `duration` parameter is limited to values of 5 or 10 seconds.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The newly generated video file. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanReferenceVideoApi/en.md)
---
-**Source fingerprint (SHA-256):** `948976c64337299217616d60200ffed7e24cce32655960c525bb068c38cc6406`
+**Source fingerprint (SHA-256):** `65ca81a7b5e83f8d8f4c00db41e24d5238ef438887362838351464e77a3af0c2`
diff --git a/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md b/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md
index 2e91108bb..be7d92c6a 100644
--- a/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md
+++ b/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md
@@ -1,34 +1,43 @@
-The WanSCAILToVideo node prepares conditioning and an empty latent space for video generation. It processes optional inputs like reference images, pose videos, and CLIP vision outputs, embedding them into the positive and negative conditioning for a video model. The node outputs the modified conditioning and a blank latent tensor of the specified video dimensions.
+# WanSCAILToVideo
+
+The WanSCAILToVideo node prepares conditioning and an empty latent space for video generation. It processes optional inputs like reference images, pose videos, CLIP vision outputs, and previous frame chunks, embedding them into the positive and negative conditioning for a video model. The node outputs the modified conditioning and a blank latent tensor of the specified video dimensions.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `positive` | The positive conditioning input. | CONDITIONING | Yes | - |
| `negative` | The negative conditioning input. | CONDITIONING | Yes | - |
| `vae` | The VAE model used for encoding images and video frames. | VAE | Yes | - |
-| `width` | The width of the output video in pixels (default: 512). Must be divisible by 8. | INT | Yes | 32 to MAX_RESOLUTION |
-| `height` | The height of the output video in pixels (default: 896). Must be divisible by 8. | INT | Yes | 32 to MAX_RESOLUTION |
+| `width` | The width of the output video in pixels (default: 512). Must be divisible by 32. | INT | Yes | 32 to MAX_RESOLUTION |
+| `height` | The height of the output video in pixels (default: 896). Must be divisible by 32. | INT | Yes | 32 to MAX_RESOLUTION |
| `length` | The number of frames in the video (default: 81). Must be divisible by 4. | INT | Yes | 1 to MAX_RESOLUTION |
| `batch_size` | The number of videos to generate in a batch (default: 1). | INT | Yes | 1 to 4096 |
-| `clip_vision_output` | Optional CLIP vision output for conditioning. | CLIP_VISION_OUTPUT | No | - |
-| `reference_image` | An optional reference image for conditioning. | IMAGE | No | - |
| `pose_video` | Video used for pose conditioning. Will be downscaled to half the resolution of the main video. | IMAGE | No | - |
+| `pose_video_mask` | SCAIL-2 only. Colored per-identity SAM3 mask video at the same resolution as pose_video. | IMAGE | No | - |
+| `replacement_mode` | SCAIL-2 only. False = Animation Mode (pose_video_mask should have black background). True = Replacement Mode (pose_video_mask should have white background). Default: False. | BOOLEAN | No | - |
| `pose_strength` | Strength of the pose latent (default: 1.0). | FLOAT | Yes | 0.0 to 10.0 |
-| `pose_start` | Start step to use pose conditioning (default: 0.0). | FLOAT | Yes | 0.0 to 1.0 |
-| `pose_end` | End step to use pose conditioning (default: 1.0). | FLOAT | Yes | 0.0 to 1.0 |
+| `pose_start` | Start step of the pose conditioning (default: 0.0). | FLOAT | Yes | 0.0 to 1.0 |
+| `pose_end` | End step of the pose conditioning (default: 1.0). | FLOAT | Yes | 0.0 to 1.0 |
+| `reference_image` | Reference image, for multiple references composite all on single image. | IMAGE | No | - |
+| `reference_image_mask` | SCAIL-2 only. Colored reference mask at the same resolution as reference_image. | IMAGE | No | - |
+| `clip_vision_output` | CLIP vision features for conditioning. Model is trained with stretch resize to aspect ratio. | CLIP_VISION_OUTPUT | No | - |
+| `video_frame_offset` | Cumulative output frame this chunk begins at. Wire from the previous chunk's video_frame_offset output (default: 0). | INT | Yes | 0 to MAX_RESOLUTION |
+| `previous_frame_count` | Tail frames of previous_frames to anchor. SCAIL-2 trained at 5 (81-frame chunks, 76-frame step) (default: 5). | INT | Yes | 1 to MAX_RESOLUTION |
+| `previous_frames` | SCAIL-2 only. Full decoded output of the previous chunk. Only the last previous_frame_count are used as the extension anchor. | IMAGE | No | - |
-**Note:** The `pose_video` input is processed only for the first `length` frames. The `reference_image` is processed only for the first image in the batch. When `reference_image` is provided, a zero-filled latent of the same size is used for the negative conditioning. When `clip_vision_output` is provided, it is applied to both positive and negative conditioning. The `pose_video` is downscaled to half the resolution of the main video before encoding.
+**Note:** The `pose_video` and `pose_video_mask` inputs are processed only for the first `length` frames. The `reference_image` is processed only for the first image in the batch. When `reference_image` is provided, it is encoded into a latent and embedded into both positive and negative conditioning. When `clip_vision_output` is provided, it is applied to both positive and negative conditioning. The `pose_video` is downscaled to half the resolution of the main video before encoding. When `previous_frames` is provided, only the last `previous_frame_count` frames are used as the extension anchor, and the `video_frame_offset` is adjusted accordingly. In Replacement Mode (`replacement_mode=True`), the reference image is composited on a black background using the reference image mask as an alpha matte.
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
-| `positive` | The modified positive conditioning, potentially containing embedded reference image latents, CLIP vision output, or pose video latents. | CONDITIONING |
-| `negative` | The modified negative conditioning, potentially containing embedded reference image latents, CLIP vision output, or pose video latents. | CONDITIONING |
-| `latent` | An empty latent tensor of shape `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]`. | LATENT |
+|-------------|-------------|-----------|
+| `positive` | The modified positive conditioning, potentially containing embedded reference image latents, CLIP vision output, pose video latents, driving masks, reference masks, or previous frame latents. | CONDITIONING |
+| `negative` | The modified negative conditioning, potentially containing embedded reference image latents, CLIP vision output, pose video latents, driving masks, reference masks, or previous frame latents. | CONDITIONING |
+| `latent` | An empty latent tensor of shape `[batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8]`. When previous_frames is provided, the latent is partially filled with encoded previous frames and a noise mask is included. | LATENT |
+| `video_frame_offset` | Adjusted offset + length. Wire into the next chunk for sequential video generation. | INT |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanSCAILToVideo/en.md)
---
-**Source fingerprint (SHA-256):** `01c0912474602c33fa0c3e277db90e0eb83edbcea307a860921bab486d267cc8`
+**Source fingerprint (SHA-256):** `30e14959248c46e624e2ce2e3d079cd5aad94c12b66d74d4979ef70143b871e3`
diff --git a/comfyui_embedded_docs/docs/WanTextToImageApi/en.md b/comfyui_embedded_docs/docs/WanTextToImageApi/en.md
index 60c609dea..7f7e7d5dc 100644
--- a/comfyui_embedded_docs/docs/WanTextToImageApi/en.md
+++ b/comfyui_embedded_docs/docs/WanTextToImageApi/en.md
@@ -1,9 +1,11 @@
+# Wan Text to Image
+
The Wan Text to Image node generates images based on text descriptions. It uses AI models to create visual content from written prompts, supporting both English and Chinese text input. The node provides various controls to adjust the output image size, quality, and style preferences.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | Model to use (default: "wan2.5-t2i-preview") | STRING | Yes | "wan2.5-t2i-preview" |
| `prompt` | Prompt describing the elements and visual features. Supports English and Chinese (default: empty) | STRING | Yes | - |
| `negative_prompt` | Negative prompt describing what to avoid (default: empty) | STRING | No | - |
@@ -16,10 +18,10 @@ The Wan Text to Image node generates images based on text descriptions. It uses
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated image based on the text prompt | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToImageApi/en.md)
---
-**Source fingerprint (SHA-256):** `4ab8fe7b1e6a0b781b006e03719203b65ed58aec75aaee780d479170ed6425ea`
+**Source fingerprint (SHA-256):** `208b7c839da45316aeb1a14a3e9d176eeb09b2f931f764fb8a296da15ae3bd4e`
diff --git a/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md b/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md
index 622dfa29b..a068dd8fc 100644
--- a/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md
+++ b/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md
@@ -1,9 +1,11 @@
+# Wan Text to Video
+
The Wan Text to Video node generates video content based on text descriptions. It uses AI models to create videos from prompts and supports various video sizes, durations, and optional audio inputs. The node can automatically generate audio when needed and provides options for prompt enhancement and watermarking.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | Model to use (default: "wan2.6-t2v") | COMBO | Yes | "wan2.5-t2v-preview"
"wan2.6-t2v" |
| `prompt` | Prompt describing the elements and visual features. Supports English and Chinese (default: "") | STRING | Yes | - |
| `negative_prompt` | Negative prompt describing what to avoid (default: "") | STRING | No | - |
@@ -21,10 +23,10 @@ The Wan Text to Video node generates video content based on text descriptions. I
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The generated video based on the input parameters | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WanTextToVideoApi/en.md)
---
-**Source fingerprint (SHA-256):** `4fbdb2e06ff15849684de860ca3fdf4eb43e6af1803483b4baa7229e584f6e25`
+**Source fingerprint (SHA-256):** `105ff4b575dc6cd319448b0f4c0e9cfab360df025480190ae6bccc324d351525`
diff --git a/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md b/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md
index 6c5a94954..8f9a96064 100644
--- a/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md
+++ b/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md
@@ -1,24 +1,26 @@
-The WavespeedFlashVSRNode is a fast, high-quality video upscaler that boosts the resolution and restores clarity for low-resolution or blurry footage. It processes a video input and outputs a new video at a user-selected higher resolution.
+# FlashVSR Video Upscale
+
+The WavespeedFlashVSRNode is a fast, high-quality video upscaler that boosts resolution and restores clarity for low-resolution or blurry footage. It processes a video input and outputs a new video at a user-selected higher resolution.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `video` | The input video file to be upscaled. Must be in MP4 container format with a duration between 5 seconds and 10 minutes. | VIDEO | Yes | N/A |
| `target_resolution` | The desired resolution for the upscaled output video. | STRING | Yes | `"720p"`
`"1080p"`
`"2K"`
`"4K"` |
**Input Constraints:**
-* The input `video` file must be in the MP4 container format.
-* The duration of the input `video` must be between 5 seconds and 10 minutes (600 seconds).
+- The input `video` file must be in the MP4 container format.
+- The duration of the input `video` must be between 5 seconds and 10 minutes (600 seconds).
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `output` | The upscaled video file at the selected target resolution. | VIDEO |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedFlashVSRNode/en.md)
---
-**Source fingerprint (SHA-256):** `61381d911521ccb8848ef3512749d5cb9e047cd0c1c2bdfc000c5d3ef3360918`
+**Source fingerprint (SHA-256):** `d7885eeb2dacfc2bc398d1bc991620be479f45d8edbdca7eb046a21500581529`
diff --git a/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md b/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md
index 993e5f943..8c217020b 100644
--- a/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md
+++ b/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md
@@ -1,11 +1,13 @@
+# WaveSpeed Image Upscale Node
+
The WaveSpeed Image Upscale node uses an external AI service to increase the resolution and quality of an image. It takes a single input photo and upscales it to a higher target resolution, such as 2K, 4K, or 8K, producing a sharper and more detailed result.
## Inputs
| Parameter | Description | Data Type | Required | Range |
-| --- | --- | --- | --- | --- |
+|-----------|-------------|-----------|----------|-------|
| `model` | The AI model to use for upscaling. "SeedVR2" and "Ultimate" offer different quality and pricing tiers. | STRING | Yes | `"SeedVR2"`
`"Ultimate"` |
-| `image` | The input image to be upscaled. Exactly one image is required. | IMAGE | Yes | |
+| `image` | The input image to be upscaled. Exactly one image is required. | IMAGE | Yes | |
| `target_resolution` | The desired output resolution for the upscaled image. | STRING | Yes | `"2K"`
`"4K"`
`"8K"` |
**Note:** This node requires exactly one input image. Providing a batch of images will result in an error.
@@ -13,10 +15,10 @@ The WaveSpeed Image Upscale node uses an external AI service to increase the res
## Outputs
| Output Name | Description | Data Type |
-| --- | --- | --- |
+|-------------|-------------|-----------|
| `image` | The upscaled, high-resolution output image. | IMAGE |
> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/WavespeedImageUpscaleNode/en.md)
---
-**Source fingerprint (SHA-256):** `9ed5a897cf067a9dbf8bee95f44cfc02c98349b1520e0f42d5f52c120d248014`
+**Source fingerprint (SHA-256):** `1d715431efb690d30d9fc3b4769047a9d568b49c62eb318615e2748c780b8c20`