Please see code in Tencent-Hunyuan/HunyuanPortrait.

🏗️ Framework

⏳ TL;DR:

HunyuanPortrait is a diffusion-based framework for generating lifelike, temporally consistent portrait animations by decoupling identity and motion using pre-trained encoders. It encodes driving video expressions/poses into implicit control signals, injects them via attention-based adapters into a stabilized diffusion backbone, enabling detailed and style-flexible animation from a single reference image. The method outperforms existing approaches in controllability and coherence.

🖼 Gallery

Some results of portrait animation using HunyuanPortrait.

More results can be found on our Project page.

📂 Cases

https://github.com/user-attachments/assets/b234ab88-efd2-44dd-ae12-a160bdeab57e

https://github.com/user-attachments/assets/93631379-f3a1-4f5d-acd4-623a6287c39f

https://github.com/user-attachments/assets/95142e1c-b10f-4b88-9295-12df5090cc54

https://github.com/user-attachments/assets/bea095c7-9668-4cfd-a22d-36bf3689cd8a

🎤 Portrait Singing

https://github.com/user-attachments/assets/4b963f42-48b2-4190-8d8f-bbbe38f97ac6

🎬 Portrait Acting

https://github.com/user-attachments/assets/48c8c412-7ff9-48e3-ac02-48d4c5a0633a

🤪 Portrait Making Face

https://github.com/user-attachments/assets/bdd4c1db-ed90-4a24-a3c6-3ea0b436c227

🔗 Citation

If you think this project is helpful, please feel free to leave a star⭐️⭐️⭐️ and cite our paper:

@inproceedings{xu2025hunyuanportrait,
  title={Hunyuanportrait: Implicit condition control for enhanced portrait animation},
  author={Xu, Zunnan and Yu, Zhentao and Zhou, Zixiang and Zhou, Jun and Jin, Xiaoyu and Hong, Fa-Ting and Ji, Xiaozhong and Zhu, Junwei and Cai, Chengfei and Tang, Shiyu and others},
  booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
  pages={15909--15919},
  year={2025}
}