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2026-03-29 15:36:39 +08:00

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![cover](assets/cover.png)
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<div align="center">
# daVinci-MagiHuman
### Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model
<p align="center">
<a href="https://plms.ai">SII-GAIR</a> &nbsp;&amp;&nbsp; <a href="https://sand.ai">Sand.ai</a>
</p>
[![arXiv](https://img.shields.io/badge/arXiv-2603.21986-b31b1b.svg)](https://arxiv.org/abs/2603.21986)
[![Demo](https://img.shields.io/badge/%F0%9F%A4%97%20Demo-HuggingFace-orange)](https://huggingface.co/spaces/SII-GAIR/daVinci-MagiHuman)
[![Models](https://img.shields.io/badge/%F0%9F%A4%97%20Models-HuggingFace-yellow)](https://huggingface.co/GAIR/daVinci-MagiHuman)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Python](https://img.shields.io/badge/Python-3.12%2B-blue.svg)](https://www.python.org/)
[![PyTorch](https://img.shields.io/badge/PyTorch-2.9%2B-ee4c2c.svg)](https://pytorch.org/)
</div>
ComfyUI_MagiHuman
----
[DaVinci-MagiHuman](https://github.com/GAIR-NLP/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](https://huggingface.co/smthem/daVinci-MagiHuman-custom-comfyUI) or 国内用户 [夸克](https://pan.quark.cn/s/26c7d9d39c87)
```
├── 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
----
![](https://github.com/smthemex/ComfyUI_MagiHuman/blob/main/example_workflows/examplei2v.png)
![](https://github.com/smthemex/ComfyUI_MagiHuman/blob/main/example_workflows/examplemagi.png)
## 🙏 Acknowledgements
We thank the open-source community, and in particular [Wan2.2](https://github.com/Wan-Video/Wan2.2) and [Turbo-VAED](https://github.com/hustvl/Turbo-VAED), for their valuable contributions.
## 📄 License
This project is released under the [Apache License 2.0](https://opensource.org/licenses/Apache-2.0).
## 📖 Citation
```bibtex
@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}
}
```