diff --git a/.release-please-manifest.json b/.release-please-manifest.json index 809fed1..a817334 100644 --- a/.release-please-manifest.json +++ b/.release-please-manifest.json @@ -1,3 +1,3 @@ { - ".": "4.13.0" + ".": "4.14.0" } \ No newline at end of file diff --git a/.stats.yml b/.stats.yml index 7425a52..a2303a1 100644 --- a/.stats.yml +++ b/.stats.yml @@ -1,4 +1,4 @@ configured_endpoints: 37 -openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/runwayml%2Frunwayml-87bdf413b984e6050236628a1fb9585a5f749c18671b15821f6f556ce4419c4b.yml -openapi_spec_hash: d4a8307f67a1539b1a4f14dac1b285c4 +openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/runwayml/runwayml-ed8d0c17e291217781d37e1e60b969f2950d2fedaa182d41d80aac9945d1ff85.yml +openapi_spec_hash: 083b5c74652bfd7ba82748e1c04f8bc2 config_hash: 3063a17ad98d447287f6f7eab9d6d1d6 diff --git a/CHANGELOG.md b/CHANGELOG.md index a8aca27..e7e3ea5 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,26 @@ # Changelog +## 4.14.0 (2026-05-08) + +Full Changelog: [v4.13.0...v4.14.0](https://github.com/runwayml/sdk-python/compare/v4.13.0...v4.14.0) + +### Features + +* **api:** gemini 3 pro ([b907241](https://github.com/runwayml/sdk-python/commit/b907241a2564b5c3afe3942a37daa2eaf719ea2d)) +* **api:** gpt_image_2 ([76997d3](https://github.com/runwayml/sdk-python/commit/76997d35dab56a5c8d2a43a8f12eb1b749eb6906)) + + +### Bug Fixes + +* **api:** Fix bad extra param ([f892e71](https://github.com/runwayml/sdk-python/commit/f892e7199f09ba11f6e940a781c119bc75b3761b)) +* **client:** add missing f-string prefix in file type error message ([52abe91](https://github.com/runwayml/sdk-python/commit/52abe91027424917df51ae2e7cf7762921f81324)) +* **client:** Fix types for gpt_image_2 ([28fba38](https://github.com/runwayml/sdk-python/commit/28fba389975adb029b64fa4dcb5d28a62c29b095)) + + +### Chores + +* **internal:** reformat pyproject.toml ([3f300f0](https://github.com/runwayml/sdk-python/commit/3f300f0dafcc3b3d15b4bee35f024aa2f1e575a6)) + ## 4.13.0 (2026-04-27) Full Changelog: [v4.12.0...v4.13.0](https://github.com/runwayml/sdk-python/compare/v4.12.0...v4.13.0) diff --git a/pyproject.toml b/pyproject.toml index f0c5976..695c96e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "runwayml" -version = "4.13.0" +version = "4.14.0" description = "The official Python library for the runwayml API" dynamic = ["readme"] license = "Apache-2.0" @@ -168,7 +168,7 @@ show_error_codes = true # # We also exclude our `tests` as mypy doesn't always infer # types correctly and Pyright will still catch any type errors. -exclude = ['src/runwayml/_files.py', '_dev/.*.py', 'tests/.*'] +exclude = ["src/runwayml/_files.py", "_dev/.*.py", "tests/.*"] strict_equality = true implicit_reexport = true diff --git a/src/runwayml/_files.py b/src/runwayml/_files.py index 0fdce17..76da9e0 100644 --- a/src/runwayml/_files.py +++ b/src/runwayml/_files.py @@ -99,7 +99,7 @@ async def async_to_httpx_files(files: RequestFiles | None) -> HttpxRequestFiles elif is_sequence_t(files): files = [(key, await _async_transform_file(file)) for key, file in files] else: - raise TypeError("Unexpected file type input {type(files)}, expected mapping or sequence") + raise TypeError(f"Unexpected file type input {type(files)}, expected mapping or sequence") return files diff --git a/src/runwayml/_version.py b/src/runwayml/_version.py index dde9882..f690f3b 100644 --- a/src/runwayml/_version.py +++ b/src/runwayml/_version.py @@ -1,4 +1,4 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. __title__ = "runwayml" -__version__ = "4.13.0" # x-release-please-version +__version__ = "4.14.0" # x-release-please-version diff --git a/src/runwayml/resources/image_to_video.py b/src/runwayml/resources/image_to_video.py index af90335..bae0563 100644 --- a/src/runwayml/resources/image_to_video.py +++ b/src/runwayml/resources/image_to_video.py @@ -147,53 +147,6 @@ def create( """ ... - @overload - def create( - self, - *, - model: Literal["gen3a_turbo"], - prompt_image: Union[str, Iterable[image_to_video_create_params.Gen3aTurboPromptImagePromptImage]], - prompt_text: str, - content_moderation: image_to_video_create_params.Gen3aTurboContentModeration | Omit = omit, - duration: Literal[5, 10] | Omit = omit, - ratio: Literal["768:1280", "1280:768"] | Omit = omit, - seed: int | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> NewTaskCreatedResponse: - """ - This endpoint will start a new task to generate a video from an image. - - Args: - prompt_image: A HTTPS URL. - - prompt_text: A non-empty string up to 1000 characters (measured in UTF-16 code units). This - should describe in detail what should appear in the output. - - content_moderation: Settings that affect the behavior of the content moderation system. - - duration: The duration of the output video in seconds. - - ratio: The resolution of the output video. - - seed: If unspecified, a random number is chosen. Varying the seed integer is a way to - get different results for the same other request parameters. Using the same seed - integer for an identical request will produce similar results. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - ... - @overload def create( self, @@ -242,12 +195,13 @@ def create( def create( self, *, - model: Literal["veo3.1_fast"], - prompt_image: Union[str, Iterable[image_to_video_create_params.Veo3_1FastPromptImagePromptImage]], - ratio: Literal["1280:720", "720:1280", "1080:1920", "1920:1080"], - audio: bool | Omit = omit, - duration: Literal[4, 6, 8] | Omit = omit, - prompt_text: str | Omit = omit, + model: Literal["gen3a_turbo"], + prompt_image: Union[str, Iterable[image_to_video_create_params.Gen3aTurboPromptImagePromptImage]], + prompt_text: str, + content_moderation: image_to_video_create_params.Gen3aTurboContentModeration | Omit = omit, + duration: Literal[5, 10] | Omit = omit, + ratio: Literal["768:1280", "1280:768"] | Omit = omit, + seed: int | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -259,18 +213,20 @@ def create( This endpoint will start a new task to generate a video from an image. Args: - prompt_image: You may specify an image to use as the first frame of the output video, or an - array with a first frame and optionally a last frame. This model does not - support generating with only a last frame. + prompt_image: A HTTPS URL. - ratio: The resolution of the output video. + prompt_text: A non-empty string up to 1000 characters (measured in UTF-16 code units). This + should describe in detail what should appear in the output. - audio: Whether to generate audio for the video. Audio inclusion affects pricing. + content_moderation: Settings that affect the behavior of the content moderation system. - duration: The number of seconds of duration for the output video. + duration: The duration of the output video in seconds. - prompt_text: A non-empty string up to 1000 characters (measured in UTF-16 code units). This - should describe in detail what should appear in the output. + ratio: The resolution of the output video. + + seed: If unspecified, a random number is chosen. Varying the seed integer is a way to + get different results for the same other request parameters. Using the same seed + integer for an identical request will produce similar results. extra_headers: Send extra headers @@ -286,27 +242,12 @@ def create( def create( self, *, - model: Literal["seedance2"], - prompt_image: Union[str, Iterable[image_to_video_create_params.Seedance2PromptImagePromptImage]], + model: Literal["veo3.1_fast"], + prompt_image: Union[str, Iterable[image_to_video_create_params.Veo3_1FastPromptImagePromptImage]], + ratio: Literal["1280:720", "720:1280", "1080:1920", "1920:1080"], audio: bool | Omit = omit, - duration: int | Omit = omit, - output_count: int | Omit = omit, + duration: Literal[4, 6, 8] | Omit = omit, prompt_text: str | Omit = omit, - ratio: Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -318,19 +259,18 @@ def create( This endpoint will start a new task to generate a video from an image. Args: - prompt_image: An image or array of images. Use position `first`/`last` for keyframe mode, or - omit position for reference images. The two modes cannot be mixed. + prompt_image: You may specify an image to use as the first frame of the output video, or an + array with a first frame and optionally a last frame. This model does not + support generating with only a last frame. + + ratio: The resolution of the output video. audio: Whether to generate audio for the video. Audio inclusion affects pricing. duration: The number of seconds of duration for the output video. - output_count: The number of video generations to produce. - - prompt_text: An optional text prompt up to 3500 characters (measured in UTF-16 code units). - This should describe in detail what should appear in the output. - - ratio: The resolution of the output video. + prompt_text: A non-empty string up to 1000 characters (measured in UTF-16 code units). This + should describe in detail what should appear in the output. extra_headers: Send extra headers @@ -385,46 +325,29 @@ def create( ["duration", "model", "prompt_image", "prompt_text", "ratio"], ["model", "prompt_image", "ratio"], ["model", "prompt_image", "prompt_text"], - ["model", "prompt_image"], ["duration", "model", "prompt_image", "ratio"], ) def create( self, *, - duration: int | Literal[5, 10] | Literal[4, 6, 8] | Literal[8] | Omit = omit, + duration: int | Literal[4, 6, 8] | Literal[5, 10] | Literal[8] | Omit = omit, model: Literal["gen4.5"] | Literal["gen4_turbo"] - | Literal["gen3a_turbo"] | Literal["veo3.1"] + | Literal["gen3a_turbo"] | Literal["veo3.1_fast"] - | Literal["seedance2"] | Literal["veo3"], prompt_image: Union[str, Iterable[image_to_video_create_params.Gen4_5PromptImagePromptImage]] | Union[str, Iterable[image_to_video_create_params.Gen4TurboPromptImagePromptImage]] | Union[str, Iterable[image_to_video_create_params.Gen3aTurboPromptImagePromptImage]] | Union[str, Iterable[image_to_video_create_params.Veo3_1PromptImagePromptImage]] | Union[str, Iterable[image_to_video_create_params.Veo3_1FastPromptImagePromptImage]] - | Union[str, Iterable[image_to_video_create_params.Seedance2PromptImagePromptImage]] | Union[str, Iterable[image_to_video_create_params.Veo3PromptImagePromptImage]], prompt_text: str | Omit = omit, ratio: Literal["1280:720", "720:1280", "1104:832", "960:960", "832:1104", "1584:672"] | Literal["1280:720", "720:1280", "1104:832", "832:1104", "960:960", "1584:672"] - | Literal["768:1280", "1280:768"] | Literal["1280:720", "720:1280", "1080:1920", "1920:1080"] - | Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] + | Literal["768:1280", "1280:768"] | Omit = omit, content_moderation: image_to_video_create_params.Gen4_5ContentModeration | image_to_video_create_params.Gen4TurboContentModeration @@ -432,7 +355,6 @@ def create( | Omit = omit, seed: int | Omit = omit, audio: bool | Omit = omit, - output_count: int | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -452,7 +374,6 @@ def create( "content_moderation": content_moderation, "seed": seed, "audio": audio, - "output_count": output_count, }, image_to_video_create_params.ImageToVideoCreateParams, ), @@ -580,53 +501,6 @@ async def create( """ ... - @overload - async def create( - self, - *, - model: Literal["gen3a_turbo"], - prompt_image: Union[str, Iterable[image_to_video_create_params.Gen3aTurboPromptImagePromptImage]], - prompt_text: str, - content_moderation: image_to_video_create_params.Gen3aTurboContentModeration | Omit = omit, - duration: Literal[5, 10] | Omit = omit, - ratio: Literal["768:1280", "1280:768"] | Omit = omit, - seed: int | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> AsyncNewTaskCreatedResponse: - """ - This endpoint will start a new task to generate a video from an image. - - Args: - prompt_image: A HTTPS URL. - - prompt_text: A non-empty string up to 1000 characters (measured in UTF-16 code units). This - should describe in detail what should appear in the output. - - content_moderation: Settings that affect the behavior of the content moderation system. - - duration: The duration of the output video in seconds. - - ratio: The resolution of the output video. - - seed: If unspecified, a random number is chosen. Varying the seed integer is a way to - get different results for the same other request parameters. Using the same seed - integer for an identical request will produce similar results. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - ... - @overload async def create( self, @@ -675,12 +549,13 @@ async def create( async def create( self, *, - model: Literal["veo3.1_fast"], - prompt_image: Union[str, Iterable[image_to_video_create_params.Veo3_1FastPromptImagePromptImage]], - ratio: Literal["1280:720", "720:1280", "1080:1920", "1920:1080"], - audio: bool | Omit = omit, - duration: Literal[4, 6, 8] | Omit = omit, - prompt_text: str | Omit = omit, + model: Literal["gen3a_turbo"], + prompt_image: Union[str, Iterable[image_to_video_create_params.Gen3aTurboPromptImagePromptImage]], + prompt_text: str, + content_moderation: image_to_video_create_params.Gen3aTurboContentModeration | Omit = omit, + duration: Literal[5, 10] | Omit = omit, + ratio: Literal["768:1280", "1280:768"] | Omit = omit, + seed: int | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -692,18 +567,20 @@ async def create( This endpoint will start a new task to generate a video from an image. Args: - prompt_image: You may specify an image to use as the first frame of the output video, or an - array with a first frame and optionally a last frame. This model does not - support generating with only a last frame. + prompt_image: A HTTPS URL. - ratio: The resolution of the output video. + prompt_text: A non-empty string up to 1000 characters (measured in UTF-16 code units). This + should describe in detail what should appear in the output. - audio: Whether to generate audio for the video. Audio inclusion affects pricing. + content_moderation: Settings that affect the behavior of the content moderation system. - duration: The number of seconds of duration for the output video. + duration: The duration of the output video in seconds. - prompt_text: A non-empty string up to 1000 characters (measured in UTF-16 code units). This - should describe in detail what should appear in the output. + ratio: The resolution of the output video. + + seed: If unspecified, a random number is chosen. Varying the seed integer is a way to + get different results for the same other request parameters. Using the same seed + integer for an identical request will produce similar results. extra_headers: Send extra headers @@ -719,27 +596,12 @@ async def create( async def create( self, *, - model: Literal["seedance2"], - prompt_image: Union[str, Iterable[image_to_video_create_params.Seedance2PromptImagePromptImage]], + model: Literal["veo3.1_fast"], + prompt_image: Union[str, Iterable[image_to_video_create_params.Veo3_1FastPromptImagePromptImage]], + ratio: Literal["1280:720", "720:1280", "1080:1920", "1920:1080"], audio: bool | Omit = omit, - duration: int | Omit = omit, - output_count: int | Omit = omit, + duration: Literal[4, 6, 8] | Omit = omit, prompt_text: str | Omit = omit, - ratio: Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -751,19 +613,18 @@ async def create( This endpoint will start a new task to generate a video from an image. Args: - prompt_image: An image or array of images. Use position `first`/`last` for keyframe mode, or - omit position for reference images. The two modes cannot be mixed. + prompt_image: You may specify an image to use as the first frame of the output video, or an + array with a first frame and optionally a last frame. This model does not + support generating with only a last frame. + + ratio: The resolution of the output video. audio: Whether to generate audio for the video. Audio inclusion affects pricing. duration: The number of seconds of duration for the output video. - output_count: The number of video generations to produce. - - prompt_text: An optional text prompt up to 3500 characters (measured in UTF-16 code units). - This should describe in detail what should appear in the output. - - ratio: The resolution of the output video. + prompt_text: A non-empty string up to 1000 characters (measured in UTF-16 code units). This + should describe in detail what should appear in the output. extra_headers: Send extra headers @@ -818,46 +679,29 @@ async def create( ["duration", "model", "prompt_image", "prompt_text", "ratio"], ["model", "prompt_image", "ratio"], ["model", "prompt_image", "prompt_text"], - ["model", "prompt_image"], ["duration", "model", "prompt_image", "ratio"], ) async def create( self, *, - duration: int | Literal[5, 10] | Literal[4, 6, 8] | Literal[8] | Omit = omit, + duration: int | Literal[4, 6, 8] | Literal[5, 10] | Literal[8] | Omit = omit, model: Literal["gen4.5"] | Literal["gen4_turbo"] - | Literal["gen3a_turbo"] | Literal["veo3.1"] + | Literal["gen3a_turbo"] | Literal["veo3.1_fast"] - | Literal["seedance2"] | Literal["veo3"], prompt_image: Union[str, Iterable[image_to_video_create_params.Gen4_5PromptImagePromptImage]] | Union[str, Iterable[image_to_video_create_params.Gen4TurboPromptImagePromptImage]] | Union[str, Iterable[image_to_video_create_params.Gen3aTurboPromptImagePromptImage]] | Union[str, Iterable[image_to_video_create_params.Veo3_1PromptImagePromptImage]] | Union[str, Iterable[image_to_video_create_params.Veo3_1FastPromptImagePromptImage]] - | Union[str, Iterable[image_to_video_create_params.Seedance2PromptImagePromptImage]] | Union[str, Iterable[image_to_video_create_params.Veo3PromptImagePromptImage]], prompt_text: str | Omit = omit, ratio: Literal["1280:720", "720:1280", "1104:832", "960:960", "832:1104", "1584:672"] | Literal["1280:720", "720:1280", "1104:832", "832:1104", "960:960", "1584:672"] - | Literal["768:1280", "1280:768"] | Literal["1280:720", "720:1280", "1080:1920", "1920:1080"] - | Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] + | Literal["768:1280", "1280:768"] | Omit = omit, content_moderation: image_to_video_create_params.Gen4_5ContentModeration | image_to_video_create_params.Gen4TurboContentModeration @@ -865,7 +709,6 @@ async def create( | Omit = omit, seed: int | Omit = omit, audio: bool | Omit = omit, - output_count: int | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -885,7 +728,6 @@ async def create( "content_moderation": content_moderation, "seed": seed, "audio": audio, - "output_count": output_count, }, image_to_video_create_params.ImageToVideoCreateParams, ), diff --git a/src/runwayml/resources/text_to_image.py b/src/runwayml/resources/text_to_image.py index 9967c50..1455237 100644 --- a/src/runwayml/resources/text_to_image.py +++ b/src/runwayml/resources/text_to_image.py @@ -176,6 +176,162 @@ def create( """ ... + @overload + def create( + self, + *, + model: Literal["gpt_image_2"], + prompt_text: str, + ratio: Literal[ + "2048:880", + "1920:1088", + "1920:1280", + "1920:1440", + "1920:1536", + "1920:1920", + "1536:1920", + "1440:1920", + "1280:1920", + "1088:1920", + "2912:1248", + "2560:1440", + "2560:1712", + "2560:1920", + "2560:2048", + "2560:2560", + "2048:2560", + "1920:2560", + "1712:2560", + "1440:2560", + "3840:1648", + "3840:2160", + "3504:2336", + "3264:2448", + "3200:2560", + "2880:2880", + "2560:3200", + "2448:3264", + "2336:3504", + "2160:3840", + "auto", + ], + background: Literal["opaque", "auto"] | Omit = omit, + output_count: int | Omit = omit, + quality: Literal["low", "medium", "high", "auto"] | Omit = omit, + reference_images: Iterable[text_to_image_create_params.GptImage2ReferenceImage] | Omit = omit, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = not_given, + ) -> NewTaskCreatedResponse: + """ + This endpoint will start a new task to generate images from text and/or image(s) + + Args: + prompt_text: A non-empty string up to 32,000 characters describing the desired image. + + ratio: The resolution of the output image, expressed as `:`. Use `auto` + to let the model choose. + + background: Background treatment. Defaults to `auto`, which lets the model pick. + `transparent` is not supported by this model. + + output_count: The number of images to generate (1-10). Increasing this number will affect the + number of credits consumed by the generation. + + quality: Rendering quality. Higher qualities consume more credits. Defaults to `high`. + + reference_images: An array of up to 16 images to be used as references for the generated image + output. + + extra_headers: Send extra headers + + extra_query: Add additional query parameters to the request + + extra_body: Add additional JSON properties to the request + + timeout: Override the client-level default timeout for this request, in seconds + """ + ... + + @overload + def create( + self, + *, + model: Literal["gemini_image3_pro"], + prompt_text: str, + ratio: Literal[ + "1344:768", + "768:1344", + "1024:1024", + "1184:864", + "864:1184", + "1536:672", + "832:1248", + "1248:832", + "896:1152", + "1152:896", + "2048:2048", + "1696:2528", + "2528:1696", + "1792:2400", + "2400:1792", + "1856:2304", + "2304:1856", + "1536:2752", + "2752:1536", + "3168:1344", + "4096:4096", + "3392:5056", + "5056:3392", + "3584:4800", + "4800:3584", + "3712:4608", + "4608:3712", + "3072:5504", + "5504:3072", + "6336:2688", + ], + output_count: Literal[1, 4] | Omit = omit, + reference_images: Iterable[text_to_image_create_params.GeminiImage3ProReferenceImage] | Omit = omit, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = not_given, + ) -> NewTaskCreatedResponse: + """ + This endpoint will start a new task to generate images from text and/or image(s) + + Args: + prompt_text: A non-empty string up to 5,500 characters (measured in UTF-16 code units). This + should describe in detail what should appear in the output. + + ratio: The resolution of the output image. + + output_count: The number of images to generate. Increasing this number will affect the number + of credits consumed by the generation. Up to four images can be generated at + once. + + reference_images: An array of up to 14 images to be used as references for the generated image + output. Up to five of those images can pass `subject: "human"` to maintain + character consistency, and up to nine of those images can pass + `subject: "object"` with high-fidelity images of objects to include in the + output. + + extra_headers: Send extra headers + + extra_query: Add additional query parameters to the request + + extra_body: Add additional JSON properties to the request + + timeout: Override the client-level default timeout for this request, in seconds + """ + ... + @overload def create( self, @@ -228,7 +384,11 @@ def create( def create( self, *, - model: Literal["gen4_image_turbo"] | Literal["gen4_image"] | Literal["gemini_2.5_flash"], + model: Literal["gen4_image_turbo"] + | Literal["gen4_image"] + | Literal["gpt_image_2"] + | Literal["gemini_image3_pro"] + | Literal["gemini_2.5_flash"], prompt_text: str, ratio: Literal[ "1024:1024", @@ -248,6 +408,71 @@ def create( "720:960", "1680:720", ] + | Literal[ + "2048:880", + "1920:1088", + "1920:1280", + "1920:1440", + "1920:1536", + "1920:1920", + "1536:1920", + "1440:1920", + "1280:1920", + "1088:1920", + "2912:1248", + "2560:1440", + "2560:1712", + "2560:1920", + "2560:2048", + "2560:2560", + "2048:2560", + "1920:2560", + "1712:2560", + "1440:2560", + "3840:1648", + "3840:2160", + "3504:2336", + "3264:2448", + "3200:2560", + "2880:2880", + "2560:3200", + "2448:3264", + "2336:3504", + "2160:3840", + "auto", + ] + | Literal[ + "1344:768", + "768:1344", + "1024:1024", + "1184:864", + "864:1184", + "1536:672", + "832:1248", + "1248:832", + "896:1152", + "1152:896", + "2048:2048", + "1696:2528", + "2528:1696", + "1792:2400", + "2400:1792", + "1856:2304", + "2304:1856", + "1536:2752", + "2752:1536", + "3168:1344", + "4096:4096", + "3392:5056", + "5056:3392", + "3584:4800", + "4800:3584", + "3712:4608", + "4608:3712", + "3072:5504", + "5504:3072", + "6336:2688", + ] | Literal[ "1344:768", "768:1344", @@ -262,12 +487,17 @@ def create( ], reference_images: Iterable[text_to_image_create_params.Gen4ImageTurboReferenceImage] | Iterable[text_to_image_create_params.Gen4ImageReferenceImage] + | Iterable[text_to_image_create_params.GptImage2ReferenceImage] + | Iterable[text_to_image_create_params.GeminiImage3ProReferenceImage] | Iterable[text_to_image_create_params.Gemini2_5FlashReferenceImage] | Omit = omit, content_moderation: text_to_image_create_params.Gen4ImageTurboContentModeration | text_to_image_create_params.Gen4ImageContentModeration | Omit = omit, seed: int | Omit = omit, + background: Literal["opaque", "auto"] | Omit = omit, + output_count: int | Literal[1, 4] | Omit = omit, + quality: Literal["low", "medium", "high", "auto"] | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -285,6 +515,9 @@ def create( "reference_images": reference_images, "content_moderation": content_moderation, "seed": seed, + "background": background, + "output_count": output_count, + "quality": quality, }, text_to_image_create_params.TextToImageCreateParams, ), @@ -441,6 +674,162 @@ async def create( """ ... + @overload + async def create( + self, + *, + model: Literal["gpt_image_2"], + prompt_text: str, + ratio: Literal[ + "2048:880", + "1920:1088", + "1920:1280", + "1920:1440", + "1920:1536", + "1920:1920", + "1536:1920", + "1440:1920", + "1280:1920", + "1088:1920", + "2912:1248", + "2560:1440", + "2560:1712", + "2560:1920", + "2560:2048", + "2560:2560", + "2048:2560", + "1920:2560", + "1712:2560", + "1440:2560", + "3840:1648", + "3840:2160", + "3504:2336", + "3264:2448", + "3200:2560", + "2880:2880", + "2560:3200", + "2448:3264", + "2336:3504", + "2160:3840", + "auto", + ], + background: Literal["opaque", "auto"] | Omit = omit, + output_count: int | Omit = omit, + quality: Literal["low", "medium", "high", "auto"] | Omit = omit, + reference_images: Iterable[text_to_image_create_params.GptImage2ReferenceImage] | Omit = omit, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = not_given, + ) -> AsyncNewTaskCreatedResponse: + """ + This endpoint will start a new task to generate images from text and/or image(s) + + Args: + prompt_text: A non-empty string up to 32,000 characters describing the desired image. + + ratio: The resolution of the output image, expressed as `:`. Use `auto` + to let the model choose. + + background: Background treatment. Defaults to `auto`, which lets the model pick. + `transparent` is not supported by this model. + + output_count: The number of images to generate (1-10). Increasing this number will affect the + number of credits consumed by the generation. + + quality: Rendering quality. Higher qualities consume more credits. Defaults to `high`. + + reference_images: An array of up to 16 images to be used as references for the generated image + output. + + extra_headers: Send extra headers + + extra_query: Add additional query parameters to the request + + extra_body: Add additional JSON properties to the request + + timeout: Override the client-level default timeout for this request, in seconds + """ + ... + + @overload + async def create( + self, + *, + model: Literal["gemini_image3_pro"], + prompt_text: str, + ratio: Literal[ + "1344:768", + "768:1344", + "1024:1024", + "1184:864", + "864:1184", + "1536:672", + "832:1248", + "1248:832", + "896:1152", + "1152:896", + "2048:2048", + "1696:2528", + "2528:1696", + "1792:2400", + "2400:1792", + "1856:2304", + "2304:1856", + "1536:2752", + "2752:1536", + "3168:1344", + "4096:4096", + "3392:5056", + "5056:3392", + "3584:4800", + "4800:3584", + "3712:4608", + "4608:3712", + "3072:5504", + "5504:3072", + "6336:2688", + ], + output_count: Literal[1, 4] | Omit = omit, + reference_images: Iterable[text_to_image_create_params.GeminiImage3ProReferenceImage] | Omit = omit, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = not_given, + ) -> AsyncNewTaskCreatedResponse: + """ + This endpoint will start a new task to generate images from text and/or image(s) + + Args: + prompt_text: A non-empty string up to 5,500 characters (measured in UTF-16 code units). This + should describe in detail what should appear in the output. + + ratio: The resolution of the output image. + + output_count: The number of images to generate. Increasing this number will affect the number + of credits consumed by the generation. Up to four images can be generated at + once. + + reference_images: An array of up to 14 images to be used as references for the generated image + output. Up to five of those images can pass `subject: "human"` to maintain + character consistency, and up to nine of those images can pass + `subject: "object"` with high-fidelity images of objects to include in the + output. + + extra_headers: Send extra headers + + extra_query: Add additional query parameters to the request + + extra_body: Add additional JSON properties to the request + + timeout: Override the client-level default timeout for this request, in seconds + """ + ... + @overload async def create( self, @@ -493,7 +882,11 @@ async def create( async def create( self, *, - model: Literal["gen4_image_turbo"] | Literal["gen4_image"] | Literal["gemini_2.5_flash"], + model: Literal["gen4_image_turbo"] + | Literal["gen4_image"] + | Literal["gpt_image_2"] + | Literal["gemini_image3_pro"] + | Literal["gemini_2.5_flash"], prompt_text: str, ratio: Literal[ "1024:1024", @@ -513,6 +906,71 @@ async def create( "720:960", "1680:720", ] + | Literal[ + "2048:880", + "1920:1088", + "1920:1280", + "1920:1440", + "1920:1536", + "1920:1920", + "1536:1920", + "1440:1920", + "1280:1920", + "1088:1920", + "2912:1248", + "2560:1440", + "2560:1712", + "2560:1920", + "2560:2048", + "2560:2560", + "2048:2560", + "1920:2560", + "1712:2560", + "1440:2560", + "3840:1648", + "3840:2160", + "3504:2336", + "3264:2448", + "3200:2560", + "2880:2880", + "2560:3200", + "2448:3264", + "2336:3504", + "2160:3840", + "auto", + ] + | Literal[ + "1344:768", + "768:1344", + "1024:1024", + "1184:864", + "864:1184", + "1536:672", + "832:1248", + "1248:832", + "896:1152", + "1152:896", + "2048:2048", + "1696:2528", + "2528:1696", + "1792:2400", + "2400:1792", + "1856:2304", + "2304:1856", + "1536:2752", + "2752:1536", + "3168:1344", + "4096:4096", + "3392:5056", + "5056:3392", + "3584:4800", + "4800:3584", + "3712:4608", + "4608:3712", + "3072:5504", + "5504:3072", + "6336:2688", + ] | Literal[ "1344:768", "768:1344", @@ -527,12 +985,17 @@ async def create( ], reference_images: Iterable[text_to_image_create_params.Gen4ImageTurboReferenceImage] | Iterable[text_to_image_create_params.Gen4ImageReferenceImage] + | Iterable[text_to_image_create_params.GptImage2ReferenceImage] + | Iterable[text_to_image_create_params.GeminiImage3ProReferenceImage] | Iterable[text_to_image_create_params.Gemini2_5FlashReferenceImage] | Omit = omit, content_moderation: text_to_image_create_params.Gen4ImageTurboContentModeration | text_to_image_create_params.Gen4ImageContentModeration | Omit = omit, seed: int | Omit = omit, + background: Literal["opaque", "auto"] | Omit = omit, + output_count: int | Literal[1, 4] | Omit = omit, + quality: Literal["low", "medium", "high", "auto"] | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -550,6 +1013,9 @@ async def create( "reference_images": reference_images, "content_moderation": content_moderation, "seed": seed, + "background": background, + "output_count": output_count, + "quality": quality, }, text_to_image_create_params.TextToImageCreateParams, ), diff --git a/src/runwayml/resources/text_to_video.py b/src/runwayml/resources/text_to_video.py index 02ab10a..f4e197f 100644 --- a/src/runwayml/resources/text_to_video.py +++ b/src/runwayml/resources/text_to_video.py @@ -174,62 +174,6 @@ def create( """ ... - @overload - def create( - self, - *, - model: Literal["seedance2"], - prompt_text: str, - audio: bool | Omit = omit, - duration: int | Omit = omit, - output_count: int | Omit = omit, - ratio: Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> NewTaskCreatedResponse: - """ - This endpoint will start a new task to generate a video from a text prompt. - - Args: - prompt_text: A non-empty string up to 3500 characters (measured in UTF-16 code units). This - should describe in detail what should appear in the output. - - audio: Whether to generate audio for the video. Audio inclusion affects pricing. - - duration: The number of seconds of duration for the output video. - - output_count: The number of video generations to produce. - - ratio: The resolution of the output video. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - ... - @overload def create( self, @@ -266,36 +210,17 @@ def create( """ ... - @required_args( - ["duration", "model", "prompt_text", "ratio"], ["model", "prompt_text", "ratio"], ["model", "prompt_text"] - ) + @required_args(["duration", "model", "prompt_text", "ratio"], ["model", "prompt_text", "ratio"]) def create( self, *, duration: int | Literal[4, 6, 8] | Literal[8] | Omit = omit, - model: Literal["gen4.5"] | Literal["veo3.1"] | Literal["veo3.1_fast"] | Literal["seedance2"] | Literal["veo3"], + model: Literal["gen4.5"] | Literal["veo3.1"] | Literal["veo3.1_fast"] | Literal["veo3"], prompt_text: str, - ratio: Literal["1280:720", "720:1280"] - | Literal["1280:720", "720:1280", "1080:1920", "1920:1080"] - | Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - | Omit = omit, + ratio: Literal["1280:720", "720:1280"] | Literal["1280:720", "720:1280", "1080:1920", "1920:1080"], content_moderation: text_to_video_create_params.Gen4_5ContentModeration | Omit = omit, seed: int | Omit = omit, audio: bool | Omit = omit, - output_count: int | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -314,7 +239,6 @@ def create( "content_moderation": content_moderation, "seed": seed, "audio": audio, - "output_count": output_count, }, text_to_video_create_params.TextToVideoCreateParams, ), @@ -470,62 +394,6 @@ async def create( """ ... - @overload - async def create( - self, - *, - model: Literal["seedance2"], - prompt_text: str, - audio: bool | Omit = omit, - duration: int | Omit = omit, - output_count: int | Omit = omit, - ratio: Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> AsyncNewTaskCreatedResponse: - """ - This endpoint will start a new task to generate a video from a text prompt. - - Args: - prompt_text: A non-empty string up to 3500 characters (measured in UTF-16 code units). This - should describe in detail what should appear in the output. - - audio: Whether to generate audio for the video. Audio inclusion affects pricing. - - duration: The number of seconds of duration for the output video. - - output_count: The number of video generations to produce. - - ratio: The resolution of the output video. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - ... - @overload async def create( self, @@ -562,36 +430,17 @@ async def create( """ ... - @required_args( - ["duration", "model", "prompt_text", "ratio"], ["model", "prompt_text", "ratio"], ["model", "prompt_text"] - ) + @required_args(["duration", "model", "prompt_text", "ratio"], ["model", "prompt_text", "ratio"]) async def create( self, *, duration: int | Literal[4, 6, 8] | Literal[8] | Omit = omit, - model: Literal["gen4.5"] | Literal["veo3.1"] | Literal["veo3.1_fast"] | Literal["seedance2"] | Literal["veo3"], + model: Literal["gen4.5"] | Literal["veo3.1"] | Literal["veo3.1_fast"] | Literal["veo3"], prompt_text: str, - ratio: Literal["1280:720", "720:1280"] - | Literal["1280:720", "720:1280", "1080:1920", "1920:1080"] - | Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - | Omit = omit, + ratio: Literal["1280:720", "720:1280"] | Literal["1280:720", "720:1280", "1080:1920", "1920:1080"], content_moderation: text_to_video_create_params.Gen4_5ContentModeration | Omit = omit, seed: int | Omit = omit, audio: bool | Omit = omit, - output_count: int | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -610,7 +459,6 @@ async def create( "content_moderation": content_moderation, "seed": seed, "audio": audio, - "output_count": output_count, }, text_to_video_create_params.TextToVideoCreateParams, ), diff --git a/src/runwayml/resources/video_to_video.py b/src/runwayml/resources/video_to_video.py index 74bf609..b09e799 100644 --- a/src/runwayml/resources/video_to_video.py +++ b/src/runwayml/resources/video_to_video.py @@ -2,14 +2,14 @@ from __future__ import annotations -from typing import Union, Iterable -from typing_extensions import Literal, overload +from typing import Iterable +from typing_extensions import Literal import httpx from ..types import video_to_video_create_params from .._types import Body, Omit, Query, Headers, NotGiven, omit, not_given -from .._utils import required_args, maybe_transform, async_maybe_transform +from .._utils import maybe_transform, async_maybe_transform from .._compat import cached_property from .._resource import SyncAPIResource, AsyncAPIResource from .._response import ( @@ -52,17 +52,16 @@ def with_streaming_response(self) -> VideoToVideoResourceWithStreamingResponse: """ return VideoToVideoResourceWithStreamingResponse(self) - @overload def create( self, *, model: Literal["gen4_aleph"], prompt_text: str, video_uri: str, - content_moderation: video_to_video_create_params.Gen4AlephContentModeration | Omit = omit, + content_moderation: video_to_video_create_params.ContentModeration | Omit = omit, ratio: Literal["1280:720", "720:1280", "1104:832", "960:960", "832:1104", "1584:672", "848:480", "640:480"] | Omit = omit, - references: Iterable[video_to_video_create_params.Gen4AlephReference] | Omit = omit, + references: Iterable[video_to_video_create_params.Reference] | Omit = omit, seed: int | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. @@ -100,116 +99,6 @@ def create( timeout: Override the client-level default timeout for this request, in seconds """ - ... - - @overload - def create( - self, - *, - model: Literal["seedance2"], - prompt_video: str, - audio: bool | Omit = omit, - duration: int | Omit = omit, - output_count: int | Omit = omit, - prompt_text: str | Omit = omit, - ratio: Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - | Omit = omit, - references: Union[str, Iterable[video_to_video_create_params.Seedance2ReferencesPromptImage]] | Omit = omit, - reference_videos: Iterable[video_to_video_create_params.Seedance2ReferenceVideo] | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> NewTaskCreatedResponse: - """ - This endpoint will start a new task to generate a video from a video. - - Args: - prompt_video: A HTTPS URL. - - audio: Whether to generate audio for the video. Audio inclusion affects pricing. - - duration: The number of seconds of duration for the output video. Must be an integer from - 4 to 15. - - output_count: The number of video generations to produce. - - prompt_text: An optional text prompt up to 3500 characters describing what should appear in - the output video. - - ratio: The resolution of the output video. - - references: An optional array of image references (up to 9). See - [our docs](/assets/inputs#images) on image inputs for more information. - - reference_videos: An optional array of up to 3 video references. See - [our docs](/assets/inputs#videos) on video inputs for more information. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - ... - - @required_args(["model", "prompt_text", "video_uri"], ["model", "prompt_video"]) - def create( - self, - *, - model: Literal["gen4_aleph"] | Literal["seedance2"], - prompt_text: str | Omit = omit, - video_uri: str | Omit = omit, - content_moderation: video_to_video_create_params.Gen4AlephContentModeration | Omit = omit, - ratio: Literal["1280:720", "720:1280", "1104:832", "960:960", "832:1104", "1584:672", "848:480", "640:480"] - | Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - | Omit = omit, - references: Iterable[video_to_video_create_params.Gen4AlephReference] - | Union[str, Iterable[video_to_video_create_params.Seedance2ReferencesPromptImage]] - | Omit = omit, - seed: int | Omit = omit, - prompt_video: str | Omit = omit, - audio: bool | Omit = omit, - duration: int | Omit = omit, - output_count: int | Omit = omit, - reference_videos: Iterable[video_to_video_create_params.Seedance2ReferenceVideo] | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> NewTaskCreatedResponse: return self._post( "/v1/video_to_video", body=maybe_transform( @@ -221,11 +110,6 @@ def create( "ratio": ratio, "references": references, "seed": seed, - "prompt_video": prompt_video, - "audio": audio, - "duration": duration, - "output_count": output_count, - "reference_videos": reference_videos, }, video_to_video_create_params.VideoToVideoCreateParams, ), @@ -258,17 +142,16 @@ def with_streaming_response(self) -> AsyncVideoToVideoResourceWithStreamingRespo """ return AsyncVideoToVideoResourceWithStreamingResponse(self) - @overload async def create( self, *, model: Literal["gen4_aleph"], prompt_text: str, video_uri: str, - content_moderation: video_to_video_create_params.Gen4AlephContentModeration | Omit = omit, + content_moderation: video_to_video_create_params.ContentModeration | Omit = omit, ratio: Literal["1280:720", "720:1280", "1104:832", "960:960", "832:1104", "1584:672", "848:480", "640:480"] | Omit = omit, - references: Iterable[video_to_video_create_params.Gen4AlephReference] | Omit = omit, + references: Iterable[video_to_video_create_params.Reference] | Omit = omit, seed: int | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. @@ -306,116 +189,6 @@ async def create( timeout: Override the client-level default timeout for this request, in seconds """ - ... - - @overload - async def create( - self, - *, - model: Literal["seedance2"], - prompt_video: str, - audio: bool | Omit = omit, - duration: int | Omit = omit, - output_count: int | Omit = omit, - prompt_text: str | Omit = omit, - ratio: Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - | Omit = omit, - references: Union[str, Iterable[video_to_video_create_params.Seedance2ReferencesPromptImage]] | Omit = omit, - reference_videos: Iterable[video_to_video_create_params.Seedance2ReferenceVideo] | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> AsyncNewTaskCreatedResponse: - """ - This endpoint will start a new task to generate a video from a video. - - Args: - prompt_video: A HTTPS URL. - - audio: Whether to generate audio for the video. Audio inclusion affects pricing. - - duration: The number of seconds of duration for the output video. Must be an integer from - 4 to 15. - - output_count: The number of video generations to produce. - - prompt_text: An optional text prompt up to 3500 characters describing what should appear in - the output video. - - ratio: The resolution of the output video. - - references: An optional array of image references (up to 9). See - [our docs](/assets/inputs#images) on image inputs for more information. - - reference_videos: An optional array of up to 3 video references. See - [our docs](/assets/inputs#videos) on video inputs for more information. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - ... - - @required_args(["model", "prompt_text", "video_uri"], ["model", "prompt_video"]) - async def create( - self, - *, - model: Literal["gen4_aleph"] | Literal["seedance2"], - prompt_text: str | Omit = omit, - video_uri: str | Omit = omit, - content_moderation: video_to_video_create_params.Gen4AlephContentModeration | Omit = omit, - ratio: Literal["1280:720", "720:1280", "1104:832", "960:960", "832:1104", "1584:672", "848:480", "640:480"] - | Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - | Omit = omit, - references: Iterable[video_to_video_create_params.Gen4AlephReference] - | Union[str, Iterable[video_to_video_create_params.Seedance2ReferencesPromptImage]] - | Omit = omit, - seed: int | Omit = omit, - prompt_video: str | Omit = omit, - audio: bool | Omit = omit, - duration: int | Omit = omit, - output_count: int | Omit = omit, - reference_videos: Iterable[video_to_video_create_params.Seedance2ReferenceVideo] | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> AsyncNewTaskCreatedResponse: return await self._post( "/v1/video_to_video", body=await async_maybe_transform( @@ -427,11 +200,6 @@ async def create( "ratio": ratio, "references": references, "seed": seed, - "prompt_video": prompt_video, - "audio": audio, - "duration": duration, - "output_count": output_count, - "reference_videos": reference_videos, }, video_to_video_create_params.VideoToVideoCreateParams, ), diff --git a/src/runwayml/types/image_to_video_create_params.py b/src/runwayml/types/image_to_video_create_params.py index 74d3702..d64c411 100644 --- a/src/runwayml/types/image_to_video_create_params.py +++ b/src/runwayml/types/image_to_video_create_params.py @@ -15,15 +15,13 @@ "Gen4Turbo", "Gen4TurboPromptImagePromptImage", "Gen4TurboContentModeration", + "Veo3_1", + "Veo3_1PromptImagePromptImage", "Gen3aTurbo", "Gen3aTurboPromptImagePromptImage", "Gen3aTurboContentModeration", - "Veo3_1", - "Veo3_1PromptImagePromptImage", "Veo3_1Fast", "Veo3_1FastPromptImagePromptImage", - "Seedance2", - "Seedance2PromptImagePromptImage", "Veo3", "Veo3PromptImagePromptImage", ] @@ -138,6 +136,46 @@ class Gen4TurboContentModeration(TypedDict, total=False): """ +class Veo3_1(TypedDict, total=False): + model: Required[Literal["veo3.1"]] + + prompt_image: Required[ + Annotated[Union[str, Iterable[Veo3_1PromptImagePromptImage]], PropertyInfo(alias="promptImage")] + ] + """ + You may specify an image to use as the first frame of the output video, or an + array with a first frame and optionally a last frame. This model does not + support generating with only a last frame. + """ + + ratio: Required[Literal["1280:720", "720:1280", "1080:1920", "1920:1080"]] + """The resolution of the output video.""" + + audio: bool + """Whether to generate audio for the video. Audio inclusion affects pricing.""" + + duration: Literal[4, 6, 8] + """The number of seconds of duration for the output video.""" + + prompt_text: Annotated[str, PropertyInfo(alias="promptText")] + """A non-empty string up to 1000 characters (measured in UTF-16 code units). + + This should describe in detail what should appear in the output. + """ + + +class Veo3_1PromptImagePromptImage(TypedDict, total=False): + position: Required[Literal["first", "last"]] + """The position of the image in the output video. + + "first" will use the image as the first frame of the video, "last" will use the + image as the last frame of the video. + """ + + uri: Required[str] + """A HTTPS URL.""" + + class Gen3aTurbo(TypedDict, total=False): model: Required[Literal["gen3a_turbo"]] @@ -192,46 +230,6 @@ class Gen3aTurboContentModeration(TypedDict, total=False): """ -class Veo3_1(TypedDict, total=False): - model: Required[Literal["veo3.1"]] - - prompt_image: Required[ - Annotated[Union[str, Iterable[Veo3_1PromptImagePromptImage]], PropertyInfo(alias="promptImage")] - ] - """ - You may specify an image to use as the first frame of the output video, or an - array with a first frame and optionally a last frame. This model does not - support generating with only a last frame. - """ - - ratio: Required[Literal["1280:720", "720:1280", "1080:1920", "1920:1080"]] - """The resolution of the output video.""" - - audio: bool - """Whether to generate audio for the video. Audio inclusion affects pricing.""" - - duration: Literal[4, 6, 8] - """The number of seconds of duration for the output video.""" - - prompt_text: Annotated[str, PropertyInfo(alias="promptText")] - """A non-empty string up to 1000 characters (measured in UTF-16 code units). - - This should describe in detail what should appear in the output. - """ - - -class Veo3_1PromptImagePromptImage(TypedDict, total=False): - position: Required[Literal["first", "last"]] - """The position of the image in the output video. - - "first" will use the image as the first frame of the video, "last" will use the - image as the last frame of the video. - """ - - uri: Required[str] - """A HTTPS URL.""" - - class Veo3_1Fast(TypedDict, total=False): model: Required[Literal["veo3.1_fast"]] @@ -272,62 +270,6 @@ class Veo3_1FastPromptImagePromptImage(TypedDict, total=False): """A HTTPS URL.""" -class Seedance2(TypedDict, total=False): - model: Required[Literal["seedance2"]] - - prompt_image: Required[ - Annotated[Union[str, Iterable[Seedance2PromptImagePromptImage]], PropertyInfo(alias="promptImage")] - ] - """An image or array of images. - - Use position `first`/`last` for keyframe mode, or omit position for reference - images. The two modes cannot be mixed. - """ - - audio: bool - """Whether to generate audio for the video. Audio inclusion affects pricing.""" - - duration: int - """The number of seconds of duration for the output video.""" - - output_count: Annotated[int, PropertyInfo(alias="outputCount")] - """The number of video generations to produce.""" - - prompt_text: Annotated[str, PropertyInfo(alias="promptText")] - """An optional text prompt up to 3500 characters (measured in UTF-16 code units). - - This should describe in detail what should appear in the output. - """ - - ratio: Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - """The resolution of the output video.""" - - -class Seedance2PromptImagePromptImage(TypedDict, total=False): - uri: Required[str] - """A HTTPS URL.""" - - position: Literal["first", "last"] - """The position of the image in the output video. - - "first" will use the image as the first frame, "last" as the last frame. Omit - for a reference image. - """ - - class Veo3(TypedDict, total=False): duration: Required[Literal[8]] """The number of seconds of duration for the output video.""" @@ -360,4 +302,4 @@ class Veo3PromptImagePromptImage(TypedDict, total=False): """A HTTPS URL.""" -ImageToVideoCreateParams: TypeAlias = Union[Gen4_5, Gen4Turbo, Gen3aTurbo, Veo3_1, Veo3_1Fast, Seedance2, Veo3] +ImageToVideoCreateParams: TypeAlias = Union[Gen4_5, Gen4Turbo, Veo3_1, Gen3aTurbo, Veo3_1Fast, Veo3] diff --git a/src/runwayml/types/organization_retrieve_usage_response.py b/src/runwayml/types/organization_retrieve_usage_response.py index 0c76bed..c9ea5fc 100644 --- a/src/runwayml/types/organization_retrieve_usage_response.py +++ b/src/runwayml/types/organization_retrieve_usage_response.py @@ -24,6 +24,7 @@ class ResultUsedCredit(BaseModel): "gen4_turbo", "gen4_image", "gen4_image_turbo", + "gpt_image_2", "act_two", "gen4_aleph", "veo3", @@ -67,6 +68,7 @@ class OrganizationRetrieveUsageResponse(BaseModel): "gen4_turbo", "gen4_image", "gen4_image_turbo", + "gpt_image_2", "act_two", "gen4_aleph", "veo3", diff --git a/src/runwayml/types/text_to_image_create_params.py b/src/runwayml/types/text_to_image_create_params.py index daaf399..17eea05 100644 --- a/src/runwayml/types/text_to_image_create_params.py +++ b/src/runwayml/types/text_to_image_create_params.py @@ -15,6 +15,10 @@ "Gen4Image", "Gen4ImageContentModeration", "Gen4ImageReferenceImage", + "GptImage2", + "GptImage2ReferenceImage", + "GeminiImage3Pro", + "GeminiImage3ProReferenceImage", "Gemini2_5Flash", "Gemini2_5FlashReferenceImage", ] @@ -160,6 +164,166 @@ class Gen4ImageReferenceImage(TypedDict, total=False): """ +class GptImage2(TypedDict, total=False): + model: Required[Literal["gpt_image_2"]] + + prompt_text: Required[Annotated[str, PropertyInfo(alias="promptText")]] + """A non-empty string up to 32,000 characters describing the desired image.""" + + ratio: Required[ + Literal[ + "2048:880", + "1920:1088", + "1920:1280", + "1920:1440", + "1920:1536", + "1920:1920", + "1536:1920", + "1440:1920", + "1280:1920", + "1088:1920", + "2912:1248", + "2560:1440", + "2560:1712", + "2560:1920", + "2560:2048", + "2560:2560", + "2048:2560", + "1920:2560", + "1712:2560", + "1440:2560", + "3840:1648", + "3840:2160", + "3504:2336", + "3264:2448", + "3200:2560", + "2880:2880", + "2560:3200", + "2448:3264", + "2336:3504", + "2160:3840", + "auto", + ] + ] + """The resolution of the output image, expressed as `:`. + + Use `auto` to let the model choose. + """ + + background: Literal["opaque", "auto"] + """Background treatment. + + Defaults to `auto`, which lets the model pick. `transparent` is not supported by + this model. + """ + + output_count: Annotated[int, PropertyInfo(alias="outputCount")] + """The number of images to generate (1-10). + + Increasing this number will affect the number of credits consumed by the + generation. + """ + + quality: Literal["low", "medium", "high", "auto"] + """Rendering quality. Higher qualities consume more credits. Defaults to `high`.""" + + reference_images: Annotated[Iterable[GptImage2ReferenceImage], PropertyInfo(alias="referenceImages")] + """ + An array of up to 16 images to be used as references for the generated image + output. + """ + + +class GptImage2ReferenceImage(TypedDict, total=False): + uri: Required[str] + """A HTTPS URL.""" + + tag: str + """A tag to identify the reference image. + + This may be used to reference the image in prompt text. + """ + + +class GeminiImage3Pro(TypedDict, total=False): + model: Required[Literal["gemini_image3_pro"]] + + prompt_text: Required[Annotated[str, PropertyInfo(alias="promptText")]] + """A non-empty string up to 5,500 characters (measured in UTF-16 code units). + + This should describe in detail what should appear in the output. + """ + + ratio: Required[ + Literal[ + "1344:768", + "768:1344", + "1024:1024", + "1184:864", + "864:1184", + "1536:672", + "832:1248", + "1248:832", + "896:1152", + "1152:896", + "2048:2048", + "1696:2528", + "2528:1696", + "1792:2400", + "2400:1792", + "1856:2304", + "2304:1856", + "1536:2752", + "2752:1536", + "3168:1344", + "4096:4096", + "3392:5056", + "5056:3392", + "3584:4800", + "4800:3584", + "3712:4608", + "4608:3712", + "3072:5504", + "5504:3072", + "6336:2688", + ] + ] + """The resolution of the output image.""" + + output_count: Annotated[Literal[1, 4], PropertyInfo(alias="outputCount")] + """The number of images to generate. + + Increasing this number will affect the number of credits consumed by the + generation. Up to four images can be generated at once. + """ + + reference_images: Annotated[Iterable[GeminiImage3ProReferenceImage], PropertyInfo(alias="referenceImages")] + """ + An array of up to 14 images to be used as references for the generated image + output. Up to five of those images can pass `subject: "human"` to maintain + character consistency, and up to nine of those images can pass + `subject: "object"` with high-fidelity images of objects to include in the + output. + """ + + +class GeminiImage3ProReferenceImage(TypedDict, total=False): + uri: Required[str] + """A HTTPS URL.""" + + subject: Literal["object", "human"] + """ + Whether this is a reference of a human subject (for character consistency) or an + object that appears in the output. + """ + + tag: str + """A tag to identify the reference image. + + This is used to reference the image in prompt text. + """ + + class Gemini2_5Flash(TypedDict, total=False): model: Required[Literal["gemini_2.5_flash"]] @@ -203,4 +367,4 @@ class Gemini2_5FlashReferenceImage(TypedDict, total=False): """ -TextToImageCreateParams: TypeAlias = Union[Gen4ImageTurbo, Gen4Image, Gemini2_5Flash] +TextToImageCreateParams: TypeAlias = Union[Gen4ImageTurbo, Gen4Image, GptImage2, GeminiImage3Pro, Gemini2_5Flash] diff --git a/src/runwayml/types/text_to_video_create_params.py b/src/runwayml/types/text_to_video_create_params.py index ec7871f..7a964b3 100644 --- a/src/runwayml/types/text_to_video_create_params.py +++ b/src/runwayml/types/text_to_video_create_params.py @@ -7,7 +7,7 @@ from .._utils import PropertyInfo -__all__ = ["TextToVideoCreateParams", "Gen4_5", "Gen4_5ContentModeration", "Veo3_1", "Veo3_1Fast", "Seedance2", "Veo3"] +__all__ = ["TextToVideoCreateParams", "Gen4_5", "Gen4_5ContentModeration", "Veo3_1", "Veo3_1Fast", "Veo3"] class Gen4_5(TypedDict, total=False): @@ -88,41 +88,6 @@ class Veo3_1Fast(TypedDict, total=False): """The number of seconds of duration for the output video.""" -class Seedance2(TypedDict, total=False): - model: Required[Literal["seedance2"]] - - prompt_text: Required[Annotated[str, PropertyInfo(alias="promptText")]] - """A non-empty string up to 3500 characters (measured in UTF-16 code units). - - This should describe in detail what should appear in the output. - """ - - audio: bool - """Whether to generate audio for the video. Audio inclusion affects pricing.""" - - duration: int - """The number of seconds of duration for the output video.""" - - output_count: Annotated[int, PropertyInfo(alias="outputCount")] - """The number of video generations to produce.""" - - ratio: Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - """The resolution of the output video.""" - - class Veo3(TypedDict, total=False): duration: Required[Literal[8]] """The number of seconds of duration for the output video.""" @@ -139,4 +104,4 @@ class Veo3(TypedDict, total=False): """The resolution of the output video.""" -TextToVideoCreateParams: TypeAlias = Union[Gen4_5, Veo3_1, Veo3_1Fast, Seedance2, Veo3] +TextToVideoCreateParams: TypeAlias = Union[Gen4_5, Veo3_1, Veo3_1Fast, Veo3] diff --git a/src/runwayml/types/video_to_video_create_params.py b/src/runwayml/types/video_to_video_create_params.py index 3198cd9..e251396 100644 --- a/src/runwayml/types/video_to_video_create_params.py +++ b/src/runwayml/types/video_to_video_create_params.py @@ -2,23 +2,15 @@ from __future__ import annotations -from typing import Union, Iterable -from typing_extensions import Literal, Required, Annotated, TypeAlias, TypedDict +from typing import Iterable +from typing_extensions import Literal, Required, Annotated, TypedDict from .._utils import PropertyInfo -__all__ = [ - "VideoToVideoCreateParams", - "Gen4Aleph", - "Gen4AlephContentModeration", - "Gen4AlephReference", - "Seedance2", - "Seedance2ReferencesPromptImage", - "Seedance2ReferenceVideo", -] +__all__ = ["VideoToVideoCreateParams", "ContentModeration", "Reference"] -class Gen4Aleph(TypedDict, total=False): +class VideoToVideoCreateParams(TypedDict, total=False): model: Required[Literal["gen4_aleph"]] prompt_text: Required[Annotated[str, PropertyInfo(alias="promptText")]] @@ -30,7 +22,7 @@ class Gen4Aleph(TypedDict, total=False): video_uri: Required[Annotated[str, PropertyInfo(alias="videoUri")]] """A HTTPS URL.""" - content_moderation: Annotated[Gen4AlephContentModeration, PropertyInfo(alias="contentModeration")] + content_moderation: Annotated[ContentModeration, PropertyInfo(alias="contentModeration")] """Settings that affect the behavior of the content moderation system.""" ratio: Literal["1280:720", "720:1280", "1104:832", "960:960", "832:1104", "1584:672", "848:480", "640:480"] @@ -40,7 +32,7 @@ class Gen4Aleph(TypedDict, total=False): input video. """ - references: Iterable[Gen4AlephReference] + references: Iterable[Reference] """An array of references. Currently up to one reference is supported. See @@ -56,7 +48,7 @@ class Gen4Aleph(TypedDict, total=False): """ -class Gen4AlephContentModeration(TypedDict, total=False): +class ContentModeration(TypedDict, total=False): """Settings that affect the behavior of the content moderation system.""" public_figure_threshold: Annotated[Literal["auto", "low"], PropertyInfo(alias="publicFigureThreshold")] @@ -66,7 +58,7 @@ class Gen4AlephContentModeration(TypedDict, total=False): """ -class Gen4AlephReference(TypedDict, total=False): +class Reference(TypedDict, total=False): """ Passing an image reference allows the model to emulate the style or content of the reference in the output. """ @@ -75,82 +67,3 @@ class Gen4AlephReference(TypedDict, total=False): uri: Required[str] """A HTTPS URL.""" - - -class Seedance2(TypedDict, total=False): - model: Required[Literal["seedance2"]] - - prompt_video: Required[Annotated[str, PropertyInfo(alias="promptVideo")]] - """A HTTPS URL.""" - - audio: bool - """Whether to generate audio for the video. Audio inclusion affects pricing.""" - - duration: int - """The number of seconds of duration for the output video. - - Must be an integer from 4 to 15. - """ - - output_count: Annotated[int, PropertyInfo(alias="outputCount")] - """The number of video generations to produce.""" - - prompt_text: Annotated[str, PropertyInfo(alias="promptText")] - """ - An optional text prompt up to 3500 characters describing what should appear in - the output video. - """ - - ratio: Literal[ - "992:432", - "864:496", - "752:560", - "640:640", - "560:752", - "496:864", - "1470:630", - "1280:720", - "1112:834", - "960:960", - "834:1112", - "720:1280", - ] - """The resolution of the output video.""" - - references: Union[str, Iterable[Seedance2ReferencesPromptImage]] - """An optional array of image references (up to 9). - - See [our docs](/assets/inputs#images) on image inputs for more information. - """ - - reference_videos: Annotated[Iterable[Seedance2ReferenceVideo], PropertyInfo(alias="referenceVideos")] - """An optional array of up to 3 video references. - - See [our docs](/assets/inputs#videos) on video inputs for more information. - """ - - -class Seedance2ReferencesPromptImage(TypedDict, total=False): - uri: Required[str] - """A HTTPS URL.""" - - position: Literal["first", "last"] - """The position of the image in the output video. - - "first" will use the image as the first frame, "last" as the last frame. Omit - for a reference image. - """ - - -class Seedance2ReferenceVideo(TypedDict, total=False): - """ - A video reference allows the model to use the video as additional context for the output. - """ - - type: Required[Literal["video"]] - - uri: Required[str] - """A HTTPS URL.""" - - -VideoToVideoCreateParams: TypeAlias = Union[Gen4Aleph, Seedance2] diff --git a/tests/api_resources/test_image_to_video.py b/tests/api_resources/test_image_to_video.py index 8f45c80..d40ac94 100644 --- a/tests/api_resources/test_image_to_video.py +++ b/tests/api_resources/test_image_to_video.py @@ -126,31 +126,30 @@ def test_streaming_response_create_overload_2(self, client: RunwayML) -> None: @parametrize def test_method_create_overload_3(self, client: RunwayML) -> None: image_to_video = client.image_to_video.create( - model="gen3a_turbo", + model="veo3.1", prompt_image="https://example.com/file", - prompt_text="A beautiful sunset over a calm ocean.", + ratio="1280:720", ) assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize def test_method_create_with_all_params_overload_3(self, client: RunwayML) -> None: image_to_video = client.image_to_video.create( - model="gen3a_turbo", + model="veo3.1", prompt_image="https://example.com/file", - prompt_text="A beautiful sunset over a calm ocean.", - content_moderation={"public_figure_threshold": "auto"}, - duration=5, - ratio="1280:768", - seed=0, + ratio="1280:720", + audio=True, + duration=4, + prompt_text="x", ) assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize def test_raw_response_create_overload_3(self, client: RunwayML) -> None: response = client.image_to_video.with_raw_response.create( - model="gen3a_turbo", + model="veo3.1", prompt_image="https://example.com/file", - prompt_text="A beautiful sunset over a calm ocean.", + ratio="1280:720", ) assert response.is_closed is True @@ -161,9 +160,9 @@ def test_raw_response_create_overload_3(self, client: RunwayML) -> None: @parametrize def test_streaming_response_create_overload_3(self, client: RunwayML) -> None: with client.image_to_video.with_streaming_response.create( - model="gen3a_turbo", + model="veo3.1", prompt_image="https://example.com/file", - prompt_text="A beautiful sunset over a calm ocean.", + ratio="1280:720", ) as response: assert not response.is_closed assert response.http_request.headers.get("X-Stainless-Lang") == "python" @@ -176,30 +175,31 @@ def test_streaming_response_create_overload_3(self, client: RunwayML) -> None: @parametrize def test_method_create_overload_4(self, client: RunwayML) -> None: image_to_video = client.image_to_video.create( - model="veo3.1", + model="gen3a_turbo", prompt_image="https://example.com/file", - ratio="1280:720", + prompt_text="A beautiful sunset over a calm ocean.", ) assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize def test_method_create_with_all_params_overload_4(self, client: RunwayML) -> None: image_to_video = client.image_to_video.create( - model="veo3.1", + model="gen3a_turbo", prompt_image="https://example.com/file", - ratio="1280:720", - audio=True, - duration=4, - prompt_text="x", + prompt_text="A beautiful sunset over a calm ocean.", + content_moderation={"public_figure_threshold": "auto"}, + duration=5, + ratio="1280:768", + seed=0, ) assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize def test_raw_response_create_overload_4(self, client: RunwayML) -> None: response = client.image_to_video.with_raw_response.create( - model="veo3.1", + model="gen3a_turbo", prompt_image="https://example.com/file", - ratio="1280:720", + prompt_text="A beautiful sunset over a calm ocean.", ) assert response.is_closed is True @@ -210,9 +210,9 @@ def test_raw_response_create_overload_4(self, client: RunwayML) -> None: @parametrize def test_streaming_response_create_overload_4(self, client: RunwayML) -> None: with client.image_to_video.with_streaming_response.create( - model="veo3.1", + model="gen3a_turbo", prompt_image="https://example.com/file", - ratio="1280:720", + prompt_text="A beautiful sunset over a calm ocean.", ) as response: assert not response.is_closed assert response.http_request.headers.get("X-Stainless-Lang") == "python" @@ -273,53 +273,6 @@ def test_streaming_response_create_overload_5(self, client: RunwayML) -> None: @parametrize def test_method_create_overload_6(self, client: RunwayML) -> None: - image_to_video = client.image_to_video.create( - model="seedance2", - prompt_image="https://example.com/file", - ) - assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) - - @parametrize - def test_method_create_with_all_params_overload_6(self, client: RunwayML) -> None: - image_to_video = client.image_to_video.create( - model="seedance2", - prompt_image="https://example.com/file", - audio=True, - duration=4, - output_count=1, - prompt_text="x", - ratio="992:432", - ) - assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) - - @parametrize - def test_raw_response_create_overload_6(self, client: RunwayML) -> None: - response = client.image_to_video.with_raw_response.create( - model="seedance2", - prompt_image="https://example.com/file", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - image_to_video = response.parse() - assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) - - @parametrize - def test_streaming_response_create_overload_6(self, client: RunwayML) -> None: - with client.image_to_video.with_streaming_response.create( - model="seedance2", - prompt_image="https://example.com/file", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - image_to_video = response.parse() - assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) - - assert cast(Any, response.is_closed) is True - - @parametrize - def test_method_create_overload_7(self, client: RunwayML) -> None: image_to_video = client.image_to_video.create( duration=8, model="veo3", @@ -329,7 +282,7 @@ def test_method_create_overload_7(self, client: RunwayML) -> None: assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize - def test_method_create_with_all_params_overload_7(self, client: RunwayML) -> None: + def test_method_create_with_all_params_overload_6(self, client: RunwayML) -> None: image_to_video = client.image_to_video.create( duration=8, model="veo3", @@ -340,7 +293,7 @@ def test_method_create_with_all_params_overload_7(self, client: RunwayML) -> Non assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize - def test_raw_response_create_overload_7(self, client: RunwayML) -> None: + def test_raw_response_create_overload_6(self, client: RunwayML) -> None: response = client.image_to_video.with_raw_response.create( duration=8, model="veo3", @@ -354,7 +307,7 @@ def test_raw_response_create_overload_7(self, client: RunwayML) -> None: assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize - def test_streaming_response_create_overload_7(self, client: RunwayML) -> None: + def test_streaming_response_create_overload_6(self, client: RunwayML) -> None: with client.image_to_video.with_streaming_response.create( duration=8, model="veo3", @@ -484,31 +437,30 @@ async def test_streaming_response_create_overload_2(self, async_client: AsyncRun @parametrize async def test_method_create_overload_3(self, async_client: AsyncRunwayML) -> None: image_to_video = await async_client.image_to_video.create( - model="gen3a_turbo", + model="veo3.1", prompt_image="https://example.com/file", - prompt_text="A beautiful sunset over a calm ocean.", + ratio="1280:720", ) assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize async def test_method_create_with_all_params_overload_3(self, async_client: AsyncRunwayML) -> None: image_to_video = await async_client.image_to_video.create( - model="gen3a_turbo", + model="veo3.1", prompt_image="https://example.com/file", - prompt_text="A beautiful sunset over a calm ocean.", - content_moderation={"public_figure_threshold": "auto"}, - duration=5, - ratio="1280:768", - seed=0, + ratio="1280:720", + audio=True, + duration=4, + prompt_text="x", ) assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize async def test_raw_response_create_overload_3(self, async_client: AsyncRunwayML) -> None: response = await async_client.image_to_video.with_raw_response.create( - model="gen3a_turbo", + model="veo3.1", prompt_image="https://example.com/file", - prompt_text="A beautiful sunset over a calm ocean.", + ratio="1280:720", ) assert response.is_closed is True @@ -519,9 +471,9 @@ async def test_raw_response_create_overload_3(self, async_client: AsyncRunwayML) @parametrize async def test_streaming_response_create_overload_3(self, async_client: AsyncRunwayML) -> None: async with async_client.image_to_video.with_streaming_response.create( - model="gen3a_turbo", + model="veo3.1", prompt_image="https://example.com/file", - prompt_text="A beautiful sunset over a calm ocean.", + ratio="1280:720", ) as response: assert not response.is_closed assert response.http_request.headers.get("X-Stainless-Lang") == "python" @@ -534,30 +486,31 @@ async def test_streaming_response_create_overload_3(self, async_client: AsyncRun @parametrize async def test_method_create_overload_4(self, async_client: AsyncRunwayML) -> None: image_to_video = await async_client.image_to_video.create( - model="veo3.1", + model="gen3a_turbo", prompt_image="https://example.com/file", - ratio="1280:720", + prompt_text="A beautiful sunset over a calm ocean.", ) assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize async def test_method_create_with_all_params_overload_4(self, async_client: AsyncRunwayML) -> None: image_to_video = await async_client.image_to_video.create( - model="veo3.1", + model="gen3a_turbo", prompt_image="https://example.com/file", - ratio="1280:720", - audio=True, - duration=4, - prompt_text="x", + prompt_text="A beautiful sunset over a calm ocean.", + content_moderation={"public_figure_threshold": "auto"}, + duration=5, + ratio="1280:768", + seed=0, ) assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize async def test_raw_response_create_overload_4(self, async_client: AsyncRunwayML) -> None: response = await async_client.image_to_video.with_raw_response.create( - model="veo3.1", + model="gen3a_turbo", prompt_image="https://example.com/file", - ratio="1280:720", + prompt_text="A beautiful sunset over a calm ocean.", ) assert response.is_closed is True @@ -568,9 +521,9 @@ async def test_raw_response_create_overload_4(self, async_client: AsyncRunwayML) @parametrize async def test_streaming_response_create_overload_4(self, async_client: AsyncRunwayML) -> None: async with async_client.image_to_video.with_streaming_response.create( - model="veo3.1", + model="gen3a_turbo", prompt_image="https://example.com/file", - ratio="1280:720", + prompt_text="A beautiful sunset over a calm ocean.", ) as response: assert not response.is_closed assert response.http_request.headers.get("X-Stainless-Lang") == "python" @@ -631,53 +584,6 @@ async def test_streaming_response_create_overload_5(self, async_client: AsyncRun @parametrize async def test_method_create_overload_6(self, async_client: AsyncRunwayML) -> None: - image_to_video = await async_client.image_to_video.create( - model="seedance2", - prompt_image="https://example.com/file", - ) - assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) - - @parametrize - async def test_method_create_with_all_params_overload_6(self, async_client: AsyncRunwayML) -> None: - image_to_video = await async_client.image_to_video.create( - model="seedance2", - prompt_image="https://example.com/file", - audio=True, - duration=4, - output_count=1, - prompt_text="x", - ratio="992:432", - ) - assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) - - @parametrize - async def test_raw_response_create_overload_6(self, async_client: AsyncRunwayML) -> None: - response = await async_client.image_to_video.with_raw_response.create( - model="seedance2", - prompt_image="https://example.com/file", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - image_to_video = await response.parse() - assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) - - @parametrize - async def test_streaming_response_create_overload_6(self, async_client: AsyncRunwayML) -> None: - async with async_client.image_to_video.with_streaming_response.create( - model="seedance2", - prompt_image="https://example.com/file", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - image_to_video = await response.parse() - assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) - - assert cast(Any, response.is_closed) is True - - @parametrize - async def test_method_create_overload_7(self, async_client: AsyncRunwayML) -> None: image_to_video = await async_client.image_to_video.create( duration=8, model="veo3", @@ -687,7 +593,7 @@ async def test_method_create_overload_7(self, async_client: AsyncRunwayML) -> No assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize - async def test_method_create_with_all_params_overload_7(self, async_client: AsyncRunwayML) -> None: + async def test_method_create_with_all_params_overload_6(self, async_client: AsyncRunwayML) -> None: image_to_video = await async_client.image_to_video.create( duration=8, model="veo3", @@ -698,7 +604,7 @@ async def test_method_create_with_all_params_overload_7(self, async_client: Asyn assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize - async def test_raw_response_create_overload_7(self, async_client: AsyncRunwayML) -> None: + async def test_raw_response_create_overload_6(self, async_client: AsyncRunwayML) -> None: response = await async_client.image_to_video.with_raw_response.create( duration=8, model="veo3", @@ -712,7 +618,7 @@ async def test_raw_response_create_overload_7(self, async_client: AsyncRunwayML) assert_matches_type(ImageToVideoCreateResponse, image_to_video, path=["response"]) @parametrize - async def test_streaming_response_create_overload_7(self, async_client: AsyncRunwayML) -> None: + async def test_streaming_response_create_overload_6(self, async_client: AsyncRunwayML) -> None: async with async_client.image_to_video.with_streaming_response.create( duration=8, model="veo3", diff --git a/tests/api_resources/test_text_to_image.py b/tests/api_resources/test_text_to_image.py index 95ddd30..e36d59f 100644 --- a/tests/api_resources/test_text_to_image.py +++ b/tests/api_resources/test_text_to_image.py @@ -130,6 +130,115 @@ def test_streaming_response_create_overload_2(self, client: RunwayML) -> None: @parametrize def test_method_create_overload_3(self, client: RunwayML) -> None: + text_to_image = client.text_to_image.create( + model="gpt_image_2", + prompt_text="x", + ratio="2048:880", + ) + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + def test_method_create_with_all_params_overload_3(self, client: RunwayML) -> None: + text_to_image = client.text_to_image.create( + model="gpt_image_2", + prompt_text="x", + ratio="2048:880", + background="opaque", + output_count=1, + quality="low", + reference_images=[ + { + "uri": "https://example.com/file", + "tag": "tag", + } + ], + ) + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + def test_raw_response_create_overload_3(self, client: RunwayML) -> None: + response = client.text_to_image.with_raw_response.create( + model="gpt_image_2", + prompt_text="x", + ratio="2048:880", + ) + + assert response.is_closed is True + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + text_to_image = response.parse() + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + def test_streaming_response_create_overload_3(self, client: RunwayML) -> None: + with client.text_to_image.with_streaming_response.create( + model="gpt_image_2", + prompt_text="x", + ratio="2048:880", + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + + text_to_image = response.parse() + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + assert cast(Any, response.is_closed) is True + + @parametrize + def test_method_create_overload_4(self, client: RunwayML) -> None: + text_to_image = client.text_to_image.create( + model="gemini_image3_pro", + prompt_text="x", + ratio="1344:768", + ) + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + def test_method_create_with_all_params_overload_4(self, client: RunwayML) -> None: + text_to_image = client.text_to_image.create( + model="gemini_image3_pro", + prompt_text="x", + ratio="1344:768", + output_count=1, + reference_images=[ + { + "uri": "https://example.com/file", + "subject": "object", + "tag": "tag", + } + ], + ) + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + def test_raw_response_create_overload_4(self, client: RunwayML) -> None: + response = client.text_to_image.with_raw_response.create( + model="gemini_image3_pro", + prompt_text="x", + ratio="1344:768", + ) + + assert response.is_closed is True + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + text_to_image = response.parse() + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + def test_streaming_response_create_overload_4(self, client: RunwayML) -> None: + with client.text_to_image.with_streaming_response.create( + model="gemini_image3_pro", + prompt_text="x", + ratio="1344:768", + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + + text_to_image = response.parse() + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + assert cast(Any, response.is_closed) is True + + @parametrize + def test_method_create_overload_5(self, client: RunwayML) -> None: text_to_image = client.text_to_image.create( model="gemini_2.5_flash", prompt_text="x", @@ -138,7 +247,7 @@ def test_method_create_overload_3(self, client: RunwayML) -> None: assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) @parametrize - def test_method_create_with_all_params_overload_3(self, client: RunwayML) -> None: + def test_method_create_with_all_params_overload_5(self, client: RunwayML) -> None: text_to_image = client.text_to_image.create( model="gemini_2.5_flash", prompt_text="x", @@ -153,7 +262,7 @@ def test_method_create_with_all_params_overload_3(self, client: RunwayML) -> Non assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) @parametrize - def test_raw_response_create_overload_3(self, client: RunwayML) -> None: + def test_raw_response_create_overload_5(self, client: RunwayML) -> None: response = client.text_to_image.with_raw_response.create( model="gemini_2.5_flash", prompt_text="x", @@ -166,7 +275,7 @@ def test_raw_response_create_overload_3(self, client: RunwayML) -> None: assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) @parametrize - def test_streaming_response_create_overload_3(self, client: RunwayML) -> None: + def test_streaming_response_create_overload_5(self, client: RunwayML) -> None: with client.text_to_image.with_streaming_response.create( model="gemini_2.5_flash", prompt_text="x", @@ -299,6 +408,115 @@ async def test_streaming_response_create_overload_2(self, async_client: AsyncRun @parametrize async def test_method_create_overload_3(self, async_client: AsyncRunwayML) -> None: + text_to_image = await async_client.text_to_image.create( + model="gpt_image_2", + prompt_text="x", + ratio="2048:880", + ) + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + async def test_method_create_with_all_params_overload_3(self, async_client: AsyncRunwayML) -> None: + text_to_image = await async_client.text_to_image.create( + model="gpt_image_2", + prompt_text="x", + ratio="2048:880", + background="opaque", + output_count=1, + quality="low", + reference_images=[ + { + "uri": "https://example.com/file", + "tag": "tag", + } + ], + ) + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + async def test_raw_response_create_overload_3(self, async_client: AsyncRunwayML) -> None: + response = await async_client.text_to_image.with_raw_response.create( + model="gpt_image_2", + prompt_text="x", + ratio="2048:880", + ) + + assert response.is_closed is True + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + text_to_image = await response.parse() + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + async def test_streaming_response_create_overload_3(self, async_client: AsyncRunwayML) -> None: + async with async_client.text_to_image.with_streaming_response.create( + model="gpt_image_2", + prompt_text="x", + ratio="2048:880", + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + + text_to_image = await response.parse() + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + assert cast(Any, response.is_closed) is True + + @parametrize + async def test_method_create_overload_4(self, async_client: AsyncRunwayML) -> None: + text_to_image = await async_client.text_to_image.create( + model="gemini_image3_pro", + prompt_text="x", + ratio="1344:768", + ) + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + async def test_method_create_with_all_params_overload_4(self, async_client: AsyncRunwayML) -> None: + text_to_image = await async_client.text_to_image.create( + model="gemini_image3_pro", + prompt_text="x", + ratio="1344:768", + output_count=1, + reference_images=[ + { + "uri": "https://example.com/file", + "subject": "object", + "tag": "tag", + } + ], + ) + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + async def test_raw_response_create_overload_4(self, async_client: AsyncRunwayML) -> None: + response = await async_client.text_to_image.with_raw_response.create( + model="gemini_image3_pro", + prompt_text="x", + ratio="1344:768", + ) + + assert response.is_closed is True + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + text_to_image = await response.parse() + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + @parametrize + async def test_streaming_response_create_overload_4(self, async_client: AsyncRunwayML) -> None: + async with async_client.text_to_image.with_streaming_response.create( + model="gemini_image3_pro", + prompt_text="x", + ratio="1344:768", + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + + text_to_image = await response.parse() + assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) + + assert cast(Any, response.is_closed) is True + + @parametrize + async def test_method_create_overload_5(self, async_client: AsyncRunwayML) -> None: text_to_image = await async_client.text_to_image.create( model="gemini_2.5_flash", prompt_text="x", @@ -307,7 +525,7 @@ async def test_method_create_overload_3(self, async_client: AsyncRunwayML) -> No assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) @parametrize - async def test_method_create_with_all_params_overload_3(self, async_client: AsyncRunwayML) -> None: + async def test_method_create_with_all_params_overload_5(self, async_client: AsyncRunwayML) -> None: text_to_image = await async_client.text_to_image.create( model="gemini_2.5_flash", prompt_text="x", @@ -322,7 +540,7 @@ async def test_method_create_with_all_params_overload_3(self, async_client: Asyn assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) @parametrize - async def test_raw_response_create_overload_3(self, async_client: AsyncRunwayML) -> None: + async def test_raw_response_create_overload_5(self, async_client: AsyncRunwayML) -> None: response = await async_client.text_to_image.with_raw_response.create( model="gemini_2.5_flash", prompt_text="x", @@ -335,7 +553,7 @@ async def test_raw_response_create_overload_3(self, async_client: AsyncRunwayML) assert_matches_type(TextToImageCreateResponse, text_to_image, path=["response"]) @parametrize - async def test_streaming_response_create_overload_3(self, async_client: AsyncRunwayML) -> None: + async def test_streaming_response_create_overload_5(self, async_client: AsyncRunwayML) -> None: async with async_client.text_to_image.with_streaming_response.create( model="gemini_2.5_flash", prompt_text="x", diff --git a/tests/api_resources/test_text_to_video.py b/tests/api_resources/test_text_to_video.py index 03d4fe2..8ee3497 100644 --- a/tests/api_resources/test_text_to_video.py +++ b/tests/api_resources/test_text_to_video.py @@ -167,52 +167,6 @@ def test_streaming_response_create_overload_3(self, client: RunwayML) -> None: @parametrize def test_method_create_overload_4(self, client: RunwayML) -> None: - text_to_video = client.text_to_video.create( - model="seedance2", - prompt_text="x", - ) - assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) - - @parametrize - def test_method_create_with_all_params_overload_4(self, client: RunwayML) -> None: - text_to_video = client.text_to_video.create( - model="seedance2", - prompt_text="x", - audio=True, - duration=4, - output_count=1, - ratio="992:432", - ) - assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) - - @parametrize - def test_raw_response_create_overload_4(self, client: RunwayML) -> None: - response = client.text_to_video.with_raw_response.create( - model="seedance2", - prompt_text="x", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - text_to_video = response.parse() - assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) - - @parametrize - def test_streaming_response_create_overload_4(self, client: RunwayML) -> None: - with client.text_to_video.with_streaming_response.create( - model="seedance2", - prompt_text="x", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - text_to_video = response.parse() - assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) - - assert cast(Any, response.is_closed) is True - - @parametrize - def test_method_create_overload_5(self, client: RunwayML) -> None: text_to_video = client.text_to_video.create( duration=8, model="veo3", @@ -222,7 +176,7 @@ def test_method_create_overload_5(self, client: RunwayML) -> None: assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) @parametrize - def test_raw_response_create_overload_5(self, client: RunwayML) -> None: + def test_raw_response_create_overload_4(self, client: RunwayML) -> None: response = client.text_to_video.with_raw_response.create( duration=8, model="veo3", @@ -236,7 +190,7 @@ def test_raw_response_create_overload_5(self, client: RunwayML) -> None: assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) @parametrize - def test_streaming_response_create_overload_5(self, client: RunwayML) -> None: + def test_streaming_response_create_overload_4(self, client: RunwayML) -> None: with client.text_to_video.with_streaming_response.create( duration=8, model="veo3", @@ -407,52 +361,6 @@ async def test_streaming_response_create_overload_3(self, async_client: AsyncRun @parametrize async def test_method_create_overload_4(self, async_client: AsyncRunwayML) -> None: - text_to_video = await async_client.text_to_video.create( - model="seedance2", - prompt_text="x", - ) - assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) - - @parametrize - async def test_method_create_with_all_params_overload_4(self, async_client: AsyncRunwayML) -> None: - text_to_video = await async_client.text_to_video.create( - model="seedance2", - prompt_text="x", - audio=True, - duration=4, - output_count=1, - ratio="992:432", - ) - assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) - - @parametrize - async def test_raw_response_create_overload_4(self, async_client: AsyncRunwayML) -> None: - response = await async_client.text_to_video.with_raw_response.create( - model="seedance2", - prompt_text="x", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - text_to_video = await response.parse() - assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) - - @parametrize - async def test_streaming_response_create_overload_4(self, async_client: AsyncRunwayML) -> None: - async with async_client.text_to_video.with_streaming_response.create( - model="seedance2", - prompt_text="x", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - text_to_video = await response.parse() - assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) - - assert cast(Any, response.is_closed) is True - - @parametrize - async def test_method_create_overload_5(self, async_client: AsyncRunwayML) -> None: text_to_video = await async_client.text_to_video.create( duration=8, model="veo3", @@ -462,7 +370,7 @@ async def test_method_create_overload_5(self, async_client: AsyncRunwayML) -> No assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) @parametrize - async def test_raw_response_create_overload_5(self, async_client: AsyncRunwayML) -> None: + async def test_raw_response_create_overload_4(self, async_client: AsyncRunwayML) -> None: response = await async_client.text_to_video.with_raw_response.create( duration=8, model="veo3", @@ -476,7 +384,7 @@ async def test_raw_response_create_overload_5(self, async_client: AsyncRunwayML) assert_matches_type(TextToVideoCreateResponse, text_to_video, path=["response"]) @parametrize - async def test_streaming_response_create_overload_5(self, async_client: AsyncRunwayML) -> None: + async def test_streaming_response_create_overload_4(self, async_client: AsyncRunwayML) -> None: async with async_client.text_to_video.with_streaming_response.create( duration=8, model="veo3", diff --git a/tests/api_resources/test_video_to_video.py b/tests/api_resources/test_video_to_video.py index 79f183d..d66d911 100644 --- a/tests/api_resources/test_video_to_video.py +++ b/tests/api_resources/test_video_to_video.py @@ -18,7 +18,7 @@ class TestVideoToVideo: parametrize = pytest.mark.parametrize("client", [False, True], indirect=True, ids=["loose", "strict"]) @parametrize - def test_method_create_overload_1(self, client: RunwayML) -> None: + def test_method_create(self, client: RunwayML) -> None: video_to_video = client.video_to_video.create( model="gen4_aleph", prompt_text="x", @@ -27,7 +27,7 @@ def test_method_create_overload_1(self, client: RunwayML) -> None: assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) @parametrize - def test_method_create_with_all_params_overload_1(self, client: RunwayML) -> None: + def test_method_create_with_all_params(self, client: RunwayML) -> None: video_to_video = client.video_to_video.create( model="gen4_aleph", prompt_text="x", @@ -45,7 +45,7 @@ def test_method_create_with_all_params_overload_1(self, client: RunwayML) -> Non assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) @parametrize - def test_raw_response_create_overload_1(self, client: RunwayML) -> None: + def test_raw_response_create(self, client: RunwayML) -> None: response = client.video_to_video.with_raw_response.create( model="gen4_aleph", prompt_text="x", @@ -58,7 +58,7 @@ def test_raw_response_create_overload_1(self, client: RunwayML) -> None: assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) @parametrize - def test_streaming_response_create_overload_1(self, client: RunwayML) -> None: + def test_streaming_response_create(self, client: RunwayML) -> None: with client.video_to_video.with_streaming_response.create( model="gen4_aleph", prompt_text="x", @@ -72,60 +72,6 @@ def test_streaming_response_create_overload_1(self, client: RunwayML) -> None: assert cast(Any, response.is_closed) is True - @parametrize - def test_method_create_overload_2(self, client: RunwayML) -> None: - video_to_video = client.video_to_video.create( - model="seedance2", - prompt_video="https://example.com/video.mp4", - ) - assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) - - @parametrize - def test_method_create_with_all_params_overload_2(self, client: RunwayML) -> None: - video_to_video = client.video_to_video.create( - model="seedance2", - prompt_video="https://example.com/video.mp4", - audio=True, - duration=4, - output_count=1, - prompt_text="x", - ratio="992:432", - references="https://example.com/file", - reference_videos=[ - { - "type": "video", - "uri": "https://example.com/file", - } - ], - ) - assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) - - @parametrize - def test_raw_response_create_overload_2(self, client: RunwayML) -> None: - response = client.video_to_video.with_raw_response.create( - model="seedance2", - prompt_video="https://example.com/video.mp4", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - video_to_video = response.parse() - assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) - - @parametrize - def test_streaming_response_create_overload_2(self, client: RunwayML) -> None: - with client.video_to_video.with_streaming_response.create( - model="seedance2", - prompt_video="https://example.com/video.mp4", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - video_to_video = response.parse() - assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) - - assert cast(Any, response.is_closed) is True - class TestAsyncVideoToVideo: parametrize = pytest.mark.parametrize( @@ -133,7 +79,7 @@ class TestAsyncVideoToVideo: ) @parametrize - async def test_method_create_overload_1(self, async_client: AsyncRunwayML) -> None: + async def test_method_create(self, async_client: AsyncRunwayML) -> None: video_to_video = await async_client.video_to_video.create( model="gen4_aleph", prompt_text="x", @@ -142,7 +88,7 @@ async def test_method_create_overload_1(self, async_client: AsyncRunwayML) -> No assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) @parametrize - async def test_method_create_with_all_params_overload_1(self, async_client: AsyncRunwayML) -> None: + async def test_method_create_with_all_params(self, async_client: AsyncRunwayML) -> None: video_to_video = await async_client.video_to_video.create( model="gen4_aleph", prompt_text="x", @@ -160,7 +106,7 @@ async def test_method_create_with_all_params_overload_1(self, async_client: Asyn assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) @parametrize - async def test_raw_response_create_overload_1(self, async_client: AsyncRunwayML) -> None: + async def test_raw_response_create(self, async_client: AsyncRunwayML) -> None: response = await async_client.video_to_video.with_raw_response.create( model="gen4_aleph", prompt_text="x", @@ -173,7 +119,7 @@ async def test_raw_response_create_overload_1(self, async_client: AsyncRunwayML) assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) @parametrize - async def test_streaming_response_create_overload_1(self, async_client: AsyncRunwayML) -> None: + async def test_streaming_response_create(self, async_client: AsyncRunwayML) -> None: async with async_client.video_to_video.with_streaming_response.create( model="gen4_aleph", prompt_text="x", @@ -186,57 +132,3 @@ async def test_streaming_response_create_overload_1(self, async_client: AsyncRun assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) assert cast(Any, response.is_closed) is True - - @parametrize - async def test_method_create_overload_2(self, async_client: AsyncRunwayML) -> None: - video_to_video = await async_client.video_to_video.create( - model="seedance2", - prompt_video="https://example.com/video.mp4", - ) - assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) - - @parametrize - async def test_method_create_with_all_params_overload_2(self, async_client: AsyncRunwayML) -> None: - video_to_video = await async_client.video_to_video.create( - model="seedance2", - prompt_video="https://example.com/video.mp4", - audio=True, - duration=4, - output_count=1, - prompt_text="x", - ratio="992:432", - references="https://example.com/file", - reference_videos=[ - { - "type": "video", - "uri": "https://example.com/file", - } - ], - ) - assert_matches_type(VideoToVideoCreateResponse, video_to_video, path=["response"]) - - @parametrize - async def test_raw_response_create_overload_2(self, async_client: AsyncRunwayML) -> None: - response = await async_client.video_to_video.with_raw_response.create( - model="seedance2", - prompt_video="https://example.com/video.mp4", - ) - - assert response.is_closed is True - assert 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