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- πŸ’œ <a href="https://humanaigc.github.io/wan-dancer-project/"><b>Wan-Dancer</b></a> &nbsp&nbsp | &nbsp&nbsp πŸ–₯️ <a href="https://github.com/Wan-Video/Wan-Dancer">GitHub</a> &nbsp&nbsp | &nbsp&nbspπŸ€— <a href="https://huggingface.co/Wan-AI/Wan-Dancer-14B">Hugging Face</a>&nbsp&nbsp | &nbsp&nbspπŸ€– <a href="https://www.modelscope.cn/models/Wan-AI/Wan-Dancer-14B">ModelScope</a>&nbsp&nbsp | &nbsp&nbsp πŸ“‘ <a href="https://arxiv.org/abs/2607.09581">Paper</a> &nbsp&nbsp
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  ## πŸ”₯ Latest News!!
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- * July 13, 2026: πŸ’ƒ We introduce **[Wan-Dancer](https://humanaigc.github.io/wan-dancer/)**, a method can generate long-duration, high-quality, rhythmic dance videos from music with global structure and temporal continuity. We released the [model weights](#model-download) and [inference code](https://github.com/Wan-Video/Wan-Dancer). And now you can try it on [ModelScope Studio](https://www.modelscope.cn/studios/Wan-AI/Wan-Dancer) or [HuggingFace Space](https://huggingface.co/spaces/Wan-AI/Wan-Dancer)!
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  ## πŸ“‘ Todo List
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  ```bibtex
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  @article{wan-dancer-2026,
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- title={Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation},
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- author={Mingyang Huang, Peng Zhang, Li Hu, Guangyuan Wang, Bang Zhang},
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- website={https://humanaigc.github.io/wan-dancer/},
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- url={https://arxiv.org/abs/2607.09581},
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- year={2026}
 
 
 
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  }
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  ```
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  This work builds upon and integrates components from the following open-source projects:
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  1. [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
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- 2. [Wan2.1](https://github.com/Wan-Video/Wan2.1)
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+ πŸ’œ <a href="https://humanaigc.github.io/wan-dancer-project/"><b>Project</b></a> &nbsp&nbsp | &nbsp&nbsp πŸ–₯️ <a href="https://github.com/Wan-Video/Wan-Dancer">GitHub</a> &nbsp&nbsp | &nbsp&nbspπŸ€– <a href="https://modelscope.ai/studios/Wan-AI/Wan-Dancer">MS Space</a>&nbsp&nbsp | &nbsp&nbspπŸ€– <a href="https://www.modelscope.cn/models/Wan-AI/Wan-Dancer-14B">MS Model</a>&nbsp&nbsp | &nbsp&nbspπŸ€— <a href="https://huggingface.co/Wan-AI/Wan-Dancer-14B">HF Model</a>&nbsp&nbsp | &nbsp&nbsp πŸ“‘ <a href="https://arxiv.org/abs/2607.09581">Paper</a> &nbsp&nbsp
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  ## πŸ”₯ Latest News!!
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+ * July 13, 2026: πŸ’ƒ We introduce **[Wan-Dancer](https://humanaigc.github.io/wan-dancer-project/)**, a method can generate long-duration, high-quality, rhythmic dance videos from music with global structure and temporal continuity. We released the [model weights](#model-download) and [inference code](https://github.com/Wan-Video/Wan-Dancer). And now you can try it on [ModelScope Studio](https://www.modelscope.cn/studios/Wan-AI/Wan-Dancer) or [HuggingFace Space](https://huggingface.co/spaces/Wan-AI/Wan-Dancer)!
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  ## πŸ“‘ Todo List
 
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  ```bibtex
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  @article{wan-dancer-2026,
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+ title = {Wan-Dancer: A Hierarchical Framework for Minute-scale Coherent Music-to-Dance Generation},
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+ author = {Huang, Mingyang and Zhang, Peng and Hu, Li and Wang, Guangyuan and Zhang, Ruoshi and Lu, Yi and Cheng, Gang and Zhang, Bang},
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+ year = {2026},
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+ eprint = {2607.09581},
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+ archiveprefix = {arXiv},
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+ primaryclass = {cs.CV},
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+ url = {https://arxiv.org/abs/2607.09581},
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+ note = {Project page: \url{https://humanaigc.github.io/wan-dancer-project/}}
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  }
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  ```
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  This work builds upon and integrates components from the following open-source projects:
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  1. [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
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+ 2. [Wan2.1](https://github.com/Wan-Video/Wan2.1)
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