Update README.md

Author: DefTruth

README.md

@@ -49,7 +49,7 @@
 |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) | [[PipeFusion]](https://github.com/PipeFusion/PipeFusion) ![](https://img.shields.io/github/stars/PipeFusion/PipeFusion.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)| ⭐️⭐️ |