Zengtudor/Wan2.1
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Author SHA1 Message Date
Didier Durand
94ddfc8ef1
Merge e8820d0ac8 into 8f7f6514f1 2025-06-13 13:27:02 +02:00
Shiwei Zhang
8f7f6514f1
Update README.md 2025-06-13 14:15:30 +08:00
Didier Durand
e8820d0ac8 Adding env variables for parametrized Gradio login 2025-03-01 05:58:29 +01:00
2 changed files with 7 additions and 1 deletions
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README.md
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@ -36,6 +36,8 @@ 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.
- [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.
- [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.
- [Phantom](https://github.com/Phantom-video/Phantom) has developed a unified video generation framework for single and multi-subject references based on both **Wan2.1-T2V-1.3B** and **Wan2.1-T2V-14B**. Please refer to [their examples](https://github.com/Phantom-video/Phantom).
- [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!

6
gradio/t2v_1.3B_singleGPU.py
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@ -205,4 +205,8 @@ if __name__ == '__main__':
print("done", flush=True)
demo = gradio_interface()
demo.launch(server_name="0.0.0.0", share=False, server_port=7860)
if "WAN_USER" in os.environ and "WAN_PWD" in os.environ:
demo.launch(server_name="0.0.0.0", share=False, server_port=7860,
auth=(os.environ["WAN_USER"], os.environ["WAN_PWD"]))
else:
demo.launch(server_name="0.0.0.0", share=False, server_port=7860)