From 325cfd41e64639cf26d76f2b60601384909934cb Mon Sep 17 00:00:00 2001 From: WanX-Video-1 Date: Fri, 18 Apr 2025 16:02:32 +0800 Subject: [PATCH] update community works --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 4b87673..8617c20 100644 --- a/README.md +++ b/README.md @@ -35,6 +35,7 @@ In this repository, we present **Wan2.1**, a comprehensive and open suite of vid ## Community Works If your work has improved **Wan2.1** and you would like more people to see it, please inform us. +- [UniAnimate-DiT](https://github.com/ali-vilab/UniAnimate-DiT), based on **Wan2.1-14B-I2V**, has trained a Human image animation model and has open-sourced the inference and training code. Feel free to enjoy it! - [CFG-Zero](https://github.com/WeichenFan/CFG-Zero-star) enhances **Wan2.1** (covering both T2V and I2V models) from the perspective of CFG. - [TeaCache](https://github.com/ali-vilab/TeaCache) now supports **Wan2.1** acceleration, capable of increasing speed by approximately 2x. Feel free to give it a try! - [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) provides more support for **Wan2.1**, including video-to-video, FP8 quantization, VRAM optimization, LoRA training, and more. Please refer to [their examples](https://github.com/modelscope/DiffSynth-Studio/tree/main/examples/wanvideo).