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README.md
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# Soul
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-----
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<p align="center">
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🤓 <a href="https://zhangzjn.github.io/projects/Soul/">Project</a>    | 📑 <a href="https://arxiv.org/abs/2506.13691">Paper</a>    | 🤖 <a href="https://xiaowei.cloud.tencent.com/ivh/#/bvh_page?page=noTrainPhoto">Online Experience</a>    | 🤖 <a href="https://cloud.tencent.com/document/product/1616/125458">API Documentation</a>    | 🤗 <a href="https://huggingface.co/APRIL-AIGC/Soul">Soul Model | Eval Suite</a>   | 🤗 <a href="https://huggingface.co/APRIL-AIGC/Soul-Bench">Soul-Bench | Results</a>  
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[//]: # (| 💬<a href="https://huggingface.co/APRIL-AIGC/Soul-Bench">WeChat Group</a>  )
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<br>
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-----
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[**Soul: Breathe Life into Digital Human for High-fidelity Long-term Multimodal Animation**](https://arxiv.org/abs/2506.13691)
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🎋 **Click ↓ to watch brief introduction for `Soul`, `Soul-1M`, and `Soul-Bench`**
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[](https://www.youtube.com/watch?v=vUzJl4cRdF0)
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## TODO
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- [x] Release [evaluation tool](#soul-eval) for Soul-Bench.
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- [ ] Release inference code.
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- [ ] Release training code.
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## Inference (Soul Model)
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It will be released soon.
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## Soul Bench
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``` sh
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pip install "huggingface_hub[cli]"
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huggingface-cli download --repo-type dataset APRIL-AIGC/Soul-Bench Soul-Bench/ --local-dir ./Soul-Bench --resume-download [--token hf_xxx]
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```
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## SOTA Results on Soul Bench
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``` sh
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pip install "huggingface_hub[cli]"
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huggingface-cli download --repo-type dataset APRIL-AIGC/Soul-Bench Soul_Results/ --local-dir ./Soul_Results --resume-download [--token hf_xxx]
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```
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## Evaluate your model on Soul Bench
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We provide evaluation tools; please refer to subfolder [evaluation tool](#soul-eval).
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## License Agreement
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Commercialization: Note that our license is **non-commercial**. If commercialization is required, please use Tencent Cloud Video Creation Large Model: [**Online Experience**](https://xiaowei.cloud.tencent.com/ivh/#/bvh_page?page=noTrainPhoto) / [**API Documentation**](https://cloud.tencent.com/document/product/1616/125458)
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## Acknowledgements
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We would like to thank the contributors to the [Wan2.1](https://github.com/Wan-Video/Wan2.1), [Wan2.2](https://github.com/Wan-Video/Wan2.2), [Qwen](https://huggingface.co/Qwen), [umt5-xxl](https://huggingface.co/google/umt5-xxl), [diffusers](https://github.com/huggingface/diffusers) and [HuggingFace](https://huggingface.co) repositories, for their open researches.
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## Citation
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If you find our work helpful, please cite us.
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```
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@article{ultravideo,
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title={UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions},
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author={Xue, Zhucun and Zhang, Jiangning and Hu, Teng and He, Haoyang and Chen, Yinan and Cai, Yuxuan and Wang, Yabiao and Wang, Chengjie and Liu, Yong and Li, Xiangtai and Tao, Dacheng},
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journal={arXiv preprint arXiv:2506.13691},
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year={2025}
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}
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```
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