Update README.md

README.md

@@ -8,7 +8,7 @@ license: cc-by-nc-sa-4.0
 <a href="https://huggingface.co/LuckyLiGY/MagicTryOn"><img src='https://img.shields.io/badge/Hugging Face-ckpts-orange?style=flat&logo=HuggingFace&logoColor=orange' alt='huggingface'></a>&nbsp;
 <a href="https://vivocameraresearch.github.io/magictryon/"><img src='https://img.shields.io/badge/Project-Page-Green' alt='GitHub'></a>&nbsp;
 <a href="https://github.com/vivoCameraResearch/Magic-TryOn/"><img src='https://img.shields.io/badge/GitHub-Repo-blue?style=flat&logo=GitHub' alt='GitHub'></a>&nbsp;
-<a href="http://www.apache.org/licenses/LICENSE-2.0"><img src='https://img.shields.io/badge/License-CC BY--NC--SA--4.0-lightgreen?style=flat&logo=Lisence' alt='License'></a>&nbsp;
+<a href="https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en"><img src='https://img.shields.io/badge/License-CC BY--NC--SA--4.0-lightgreen?style=flat&logo=Lisence' alt='License'></a>&nbsp;
 
 
 **MagicTryOn** is a video virtual try-on framework based on a large-scale video diffusion Transformer. ***1) It adopts Wan2.1 diffusion Transformer as the backbone*** and ***2) employs full self-attention to model spatiotemporal consistency***. ***3) A coarse-to-fine garment preservation strategy is introduced, along with a mask-aware loss to enhance garment region fidelity***.