Update README.md

Author: DefTruth

README.md

@@ -10,6 +10,11 @@
 
 📒A **small** curated list of Awesome **SD/DiT/ViT/Diffusion** **Distributed/Caching Inference** Paper with codes. For Awesome LLM Inference, please check 📖[Awesome-LLM-Inference](https://github.com/DefTruth/Awesome-LLM-Inference)  ![](https://img.shields.io/github/stars/DefTruth/Awesome-LLM-Inference.svg?style=social)
 
+## 🤖Contents
+
+- [📙Awesome SD Inference with Caching](#Caching)
+- [📙Awesome SD Distributed Inference with Multi-GPUs](#Distributed)
+
 
 ## ©️Citations 
 
@@ -23,7 +28,10 @@
 }
 ```
 
-## 📙Awesome SD Distributed/Caching Inference Papers with Codes 
+
+## 📙Awesome SD Inference with Caching  
+
+<div id="Caching"></div>  
 
 - **UNet Based (DeepCache)**
 
@@ -33,6 +41,20 @@
 - **DiT Based (Fast-Forward Caching)**
 <img width="1119" alt="image" src="https://github.com/user-attachments/assets/fad8f187-d4ac-4290-9943-7b34116fed05">
 
+|Date|Title|Paper|Code|Recom|
+|:---:|:---:|:---:|:---:|:---:|   
+|2023.05|🔥🔥[**Cache-Enabled Sparse Diffusion**] Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference(@pku.edu.cn etc)|[[pdf]](https://arxiv.org/pdf/2305.17423) |⚠️|⭐️⭐️ | 
+|2023.12|🔥🔥[**DeepCache**] DeepCache: Accelerating Diffusion Models for Free(@nus.edu)|[[pdf]](https://arxiv.org/pdf/2312.00858) | [[DeepCache]](https://github.com/horseee/DeepCache) ![](https://img.shields.io/github/stars/horseee/DeepCache.svg?style=social)| ⭐️⭐️ |   
+|2023.12|🔥🔥[**Block Caching**] Cache Me if You Can: Accelerating Diffusion Models through Block Caching(@Meta GenAI etc)|[[pdf]](https://arxiv.org/pdf/2312.03209) |⚠️|⭐️⭐️ | 
+|2023.12|🔥🔥[**Approximate Caching**] Approximate Caching for Efficiently Serving Diffusion Models(@Adobe)|[[pdf]](https://arxiv.org/pdf/2312.04429) |⚠️|⭐️⭐️ |
+|2024.06| 🔥🔥[**Layer Caching**] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching(@nus.edu)  | [[pdf]](https://arxiv.org/pdf/2406.01733) | [[learning-to-cache]](https://github.com/horseee/learning-to-cache/) ![](https://img.shields.io/github/stars/horseee/learning-to-cache.svg?style=social)| ⭐️⭐️ | 
+|2024.07|🔥[**ElasticCache-LVLM**] Efficient Inference of Vision Instruction-Following Models with Elastic Cache(@Tsinghua University etc)|[[pdf]](https://arxiv.org/pdf/2407.18121)|[[ElasticCache]](https://github.com/liuzuyan/ElasticCache) ![](https://img.shields.io/github/stars/liuzuyan/ElasticCache.svg?style=social)|⭐️ |
+|2024.07| 🔥🔥[**Fast-Forward Caching(DiT)**] FORA: Fast-Forward Caching in Diffusion Transformer Acceleration(@microsoft.com etc) | [[pdf]](https://arxiv.org/pdf/2407.01425) | [[FORA]](https://github.com/prathebaselva/FORA) ![](https://img.shields.io/github/stars/prathebaselva/FORA.svg?style=social)|⭐️⭐️ |
+
+## 📙Awesome SD Distributed Inference with Multi-GPUs
+
+<div id="Distributed"></div>  
+
 - **UNet Based: Displaced Patch parallelism (DistriFusion)**
 
 <img width="1677" alt="image" src="https://github.com/user-attachments/assets/aefb2ae7-73eb-4e9c-bf1a-ec540f4dfa7d">
@@ -44,19 +66,12 @@
 
 |Date|Title|Paper|Code|Recom|
 |:---:|:---:|:---:|:---:|:---:|   
-|2023.05|🔥🔥[**Cache-Enabled Sparse Diffusion**] Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference(@pku.edu.cn etc)|[[pdf]](https://arxiv.org/pdf/2305.17423) |⚠️|⭐️⭐️ | 
-|2023.12|🔥🔥[**DeepCache**] DeepCache: Accelerating Diffusion Models for Free(@nus.edu)|[[pdf]](https://arxiv.org/pdf/2312.00858) | [[DeepCache]](https://github.com/horseee/DeepCache) ![](https://img.shields.io/github/stars/horseee/DeepCache.svg?style=social)| ⭐️⭐️ |   
-|2023.12|🔥🔥[**Block Caching**] Cache Me if You Can: Accelerating Diffusion Models through Block Caching(@Meta GenAI etc)|[[pdf]](https://arxiv.org/pdf/2312.03209) |⚠️|⭐️⭐️ | 
-|2023.12|🔥🔥[**Approximate Caching**] Approximate Caching for Efficiently Serving Diffusion Models(@Adobe)|[[pdf]](https://arxiv.org/pdf/2312.04429) |⚠️|⭐️⭐️ |
 |2024.02|🔥🔥[**DistriFusion**] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models(@MIT etc)|[[pdf]](https://arxiv.org/abs/2402.19481) | [[distrifuser]](https://github.com/mit-han-lab/distrifuser) ![](https://img.shields.io/github/stars/mit-han-lab/distrifuser.svg?style=social)| ⭐️⭐️ |   
 |2024.05|🔥🔥[**PipeFusion**] PipeFusion: Displaced Patch Pipeline Parallelism for Inference of Diffusion Transformer Models(@Tencent etc)|[[pdf]](https://arxiv.org/pdf/2405.14430) | [[xDiT]](https://github.com/xdit-project/xDiT) ![](https://img.shields.io/github/stars/xdit-project/xDiT.svg?style=social)| ⭐️⭐️ | 
 |2024.06| 🔥🔥[**AsyncDiff**] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising(@nus.edu) | [[pdf]](https://arxiv.org/pdf/2406.06911) | [[AsyncDiff]](https://github.com/czg1225/AsyncDiff) ![](https://img.shields.io/github/stars/czg1225/AsyncDiff.svg?style=social)| ⭐️⭐️ |   
-|2024.06| 🔥🔥[**Layer Caching**] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching(@nus.edu)  | [[pdf]](https://arxiv.org/pdf/2406.01733) | [[learning-to-cache]](https://github.com/horseee/learning-to-cache/) ![](https://img.shields.io/github/stars/horseee/learning-to-cache.svg?style=social)| ⭐️⭐️ | 
 |2024.05 | 🔥🔥[**TensorRT-LLM SDXL**] SDXL Distributed Inference with TensorRT-LLM and synchronous comm(@Zars19) | [[pdf]](https://arxiv.org/abs/2402.19481) | [[SDXL-TensorRT-LLM]](https://github.com/NVIDIA/TensorRT-LLM/pull/1514) ![](https://img.shields.io/github/stars/NVIDIA/TensorRT-LLM.svg?style=social)| ⭐️⭐️ | 
 |2024.06| 🔥🔥[**Clip Parallelism**] Video-Infinity: Distributed Long Video Generation(@nus.edu)|[[pdf]](https://arxiv.org/pdf/2406.16260) | [[Video-Infinity]](https://github.com/Yuanshi9815/Video-Infinity) ![](https://img.shields.io/github/stars/Yuanshi9815/Video-Infinity.svg?style=social)|⭐️⭐️ | 
 |2024.05| 🔥🔥[**FIFO-Diffusion**] FIFO-Diffusion: Generating Infinite Videos from Text without Training(@Seoul National University)|[[pdf]](https://arxiv.org/pdf/2405.11473) |  [[FIFO-Diffusion]](https://github.com/jjihwan/FIFO-Diffusion_public) ![](https://img.shields.io/github/stars/jjihwan/FIFO-Diffusion_public.svg?style=social) |⭐️⭐️ | 
-|2024.07|🔥[**ElasticCache-LVLM**] Efficient Inference of Vision Instruction-Following Models with Elastic Cache(@Tsinghua University etc)|[[pdf]](https://arxiv.org/pdf/2407.18121)|[[ElasticCache]](https://github.com/liuzuyan/ElasticCache) ![](https://img.shields.io/github/stars/liuzuyan/ElasticCache.svg?style=social)|⭐️ |
-|2024.07| 🔥🔥[**Fast-Forward Caching(DiT)**] FORA: Fast-Forward Caching in Diffusion Transformer Acceleration(@microsoft.com etc) | [[pdf]](https://arxiv.org/pdf/2407.01425) | [[FORA]](https://github.com/prathebaselva/FORA) ![](https://img.shields.io/github/stars/prathebaselva/FORA.svg?style=social)|⭐️⭐️ |
 
 ## ©️License