From ecbd697daea58ddb601bd6ee657ae0879ff9d02f Mon Sep 17 00:00:00 2001 From: William Lin Date: Mon, 4 Aug 2025 10:20:57 -0700 Subject: [PATCH] [misc] Readme fixes (#699) --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 0f6e4c5ec..389e43c4f 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ FastVideo is an inference and post-training framework for diffusion models. It features an end-to-end unified pipeline for accelerating diffusion models, starting from data preprocessing to model training, finetuning, distillation, and inference. FastVideo is designed to be modular and extensible, allowing users to easily add new optimizations and techniques. Whether it is training-free optimizations or post-training optimizations, FastVideo has you covered.

- | Documentation | Quick Start | 🤗 FastWan2.1 | 🤗 FastWan2.2 | 🟣💬 Slack | + | Documentation | Quick Start | 🤗 FastWan2.1 | 🤗 FastWan2.2 | 🟣💬 Slack |

@@ -15,7 +15,7 @@ FastVideo is an inference and post-training framework for diffusion models. It f
## NEWS -- ```2025/08/04```: Release [FastWan](https://hao-ai-lab.github.io/FastVideo/distillation/dmd.html), achieving 15x end-to-end speedup for video generation with [Sparse-Distillation](https://hao-ai-lab.github.io/blogs/fastvideo_post_training/). +- ```2025/08/04```: Release [FastWan](https://hao-ai-lab.github.io/FastVideo/distillation/dmd.html) models and[Sparse-Distillation](https://hao-ai-lab.github.io/blogs/fastvideo_post_training/). - ```2025/06/14```: Release finetuning and inference code for [VSA](https://arxiv.org/pdf/2505.13389) - ```2025/04/24```: [FastVideo V1](https://hao-ai-lab.github.io/blogs/fastvideo/) is released! - ```2025/02/18```: Release the inference code for [Sliding Tile Attention](https://hao-ai-lab.github.io/blogs/sta/).