From 8bc1cc9d1bd8695573cee3d6e3e3c2f16940a2dd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Junhao=20Zhuang=20=28=E5=BA=84=E4=BF=8A=E8=B1=AA=29?=
 <108931120+zhuang2002@users.noreply.github.com>
Date: Wed, 17 Dec 2025 16:31:11 +0800
Subject: [PATCH] Update README with community works for Wan2.1

Added new community projects that utilize Wan2.1.
---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 078e991..099dd81 100644
--- a/README.md
+++ b/README.md
@@ -36,6 +36,7 @@ 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.
+- [FlashVSR](https://github.com/OpenImagingLab/FlashVSR), a real-time one-step diffusion-based streaming video super-resolution framework based on **Wan2.1-T2V-1.3B** for high-resolution, high-quality video super-resolution. Refer to the [project page](https://zhuang2002.github.io/FlashVSR) for more examples.
 - [Video-As-Prompt](https://github.com/bytedance/Video-As-Prompt), the first unified semantic-controlled video generation model based on **Wan2.1-14B-I2V** with a Mixture-of-Transformers architecture and in-context controls (e.g., concept, style, motion, camera). Refer to the [project page](https://bytedance.github.io/Video-As-Prompt/) for more examples.
 - [LightX2V](https://github.com/ModelTC/LightX2V), a lightweight and efficient video generation framework that integrates **Wan2.1** and **Wan2.2**, supports multiple engineering acceleration techniques for fast inference, which can run on RTX 5090 and RTX 4060 (8GB VRAM).
 - [DriVerse](https://github.com/shalfun/DriVerse), an autonomous driving world model based on **Wan2.1-14B-I2V**, generates future driving videos conditioned on any scene frame and given trajectory. Refer to the [project page](https://github.com/shalfun/DriVerse/tree/main) for more examples.