Zengtudor/Wan2.1
1
0
Fork 0
mirror of https://github.com/Wan-Video/Wan2.1.git synced 2025-07-13 19:20:09 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Compare commits

base: Zengtudor:cccb19f385900b87770a21eed0592db6c5a7afa0
Branches Tags
Zengtudor:main
Zengtudor:dev/format
Zengtudor:dev/vace_seed
Zengtudor:dev/vace_dev
Zengtudor:dev/vace_size
Zengtudor:dev/vace
..
compare: Zengtudor:5cdcc2a3e08aaa24888cf23e3e9b44e9504ce910
Branches Tags
Zengtudor:main
Zengtudor:dev/format
Zengtudor:dev/vace_seed
Zengtudor:dev/vace_dev
Zengtudor:dev/vace_size
Zengtudor:dev/vace

1 Commits
cccb19f385 ... 5cdcc2a3e0

Author SHA1 Message Date
Zhen Han
5cdcc2a3e0
Merge e649b328e9 into 8f7f6514f1 2025-06-16 10:18:27 +08:00
1 changed files with 0 additions and 1 deletions
Show Stats Expand all files Collapse all files

1
README.md
View File

@ -36,7 +36,6 @@ In this repository, we present **Wan2.1**, a comprehensive and open suite of vid
## Community Works ## Community Works
If your work has improved **Wan2.1** and you would like more people to see it, please inform us. If your work has improved **Wan2.1** and you would like more people to see it, please inform us.
- [AniCrafter](https://github.com/MyNiuuu/AniCrafter), a human-centric animation model based on **Wan2.1-14B-I2V**, controls the Video Diffusion Models with 3DGS Avatars to insert and animate anyone into any scene following given motion sequences. Refer to the [project page](https://myniuuu.github.io/AniCrafter) for more examples.
- [HyperMotion](https://vivocameraresearch.github.io/hypermotion/), a human image animation framework based on **Wan2.1**, addresses the challenge of generating complex human body motions in pose-guided animation. Refer to [their website](https://vivocameraresearch.github.io/magictryon/) for more examples. - [HyperMotion](https://vivocameraresearch.github.io/hypermotion/), a human image animation framework based on **Wan2.1**, addresses the challenge of generating complex human body motions in pose-guided animation. Refer to [their website](https://vivocameraresearch.github.io/magictryon/) for more examples.
- [MagicTryOn](https://vivocameraresearch.github.io/magictryon/), a video virtual try-on framework built upon **Wan2.1-14B-I2V**, addresses the limitations of existing models in expressing garment details and maintaining dynamic stability during human motion. Refer to [their website](https://vivocameraresearch.github.io/magictryon/) for more examples. - [MagicTryOn](https://vivocameraresearch.github.io/magictryon/), a video virtual try-on framework built upon **Wan2.1-14B-I2V**, addresses the limitations of existing models in expressing garment details and maintaining dynamic stability during human motion. Refer to [their website](https://vivocameraresearch.github.io/magictryon/) for more examples.
- [ATI](https://github.com/bytedance/ATI), built on **Wan2.1-I2V-14B**, is a trajectory-based motion-control framework that unifies object, local, and camera movements in video generation. Refer to [their website](https://anytraj.github.io/) for more examples. - [ATI](https://github.com/bytedance/ATI), built on **Wan2.1-I2V-14B**, is a trajectory-based motion-control framework that unifies object, local, and camera movements in video generation. Refer to [their website](https://anytraj.github.io/) for more examples.