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daVinci-MagiHuman

Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model

SII-GAIR  &  Sand.ai

ComfyUI_MagiHuman

DaVinci-MagiHuman:Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model

Update

• add layer offload num to fit high vram 大显存 把offload开到你跑得动为止，小显存则从1开始测试，MagiCompiler库不用，但是改了麻烦，还是加了回来

1.Installation

In the ./ComfyUI/custom_nodes directory, run the following:

git clone https://github.com/smthemex/ComfyUI_MagiHuman

2.requirements

pip install -r requirements.txt

#python312以下，注释掉MagiCompiler目录下的pyproject.toml的13行的requires-python = ">=3.12" 再安装
git clone https://github.com/SandAI-org/MagiCompiler.git 
cd MagiCompiler
pip install -r requirements.txt
pip install .

3.checkpoints

• dit and TE links or 国内用户 夸克

├── ComfyUI/models/
|     ├── diffusion_models/
|        ├──distill-merger_bf16.safetensors #28G
|        ├──540p_sr_merge_bf16.safetensors #28g For SR ,放大用开源不下
|     ├── vae/
|        ├──sd_audio.safetensors  #4.7GM
|        ├──Wan2.2_VAE.pth # 2.7G
|     ├── gguf
|        ├──t5gemma-9b-9b-ul2-Q6_K.gguf # 11G

4.Example

🙏 Acknowledgements

We thank the open-source community, and in particular Wan2.2 and Turbo-VAED, for their valuable contributions.

📄 License

This project is released under the Apache License 2.0.

📖 Citation

@misc{davinci-magihuman-2026,
  title   = {Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model},
  author  = {SII-GAIR and Sand.ai},
  year    = {2026},
  url     = {https://github.com/GAIR-NLP/daVinci-MagiHuman}
}