ComfyUI Extension: ComfyUI_AniCrafter
a/AniCrafter: Customizing Realistic Human-Centric Animation via Avatar-Background Conditioning in Video Diffusion Models, you can try this methods when use ComfyUI.
Custom Nodes (0)
README
ComfyUI_AniCrafter
AniCrafter: Customizing Realistic Human-Centric Animation via Avatar-Background Conditioning in Video Diffusion Models, you can try this methods when use ComfyUI.
Tips
- 支持自定义视频的推理,支持预处理视频(mask,背景内绘及smplx剪辑)和json文件的 以及gaussian.pth的复用(首次生成需要选择none);为避免人脸失真,推理尺寸越大越好。等下个周末再修复一些bug吧。
- need another weekend to fix bugs
1. Installation
In the ./ComfyUI /custom_node directory, run the following:
git clone https://github.com/smthemex/ComfyUI_AniCrafter.git
2. Requirements
pip install -r requirements.txt
and
pip install ninja
pip install flash-attn --no-build-isolation
pip install tb-nightly
pip install git+https://github.com/XPixelGroup/BasicSR
pip install git+https://github.com/facebookresearch/pytorch3d.git
pip install git+https://github.com/hitsz-zuoqi/sam2/
pip install git+https://github.com/ashawkey/diff-gaussian-rasterization/
pip install git+https://github.com/camenduru/simple-knn/
If python version >3.10,need modify 'chumpy' packeage :
- '...site-packages\chumpy\ch.py' ,line 1203 ,change ' inspect.getargspec' to 'inspect.getfullargspec'
- '...site-packages\chumpy_init_.py' ,line 11,change 'from numpy import bool, int, float, complex, object, unicode, str, nan, inf 'to
from numpy import complex_, object_, nan, inf
import builtins
bool_ = builtins.bool
int_ = builtins.int
float_ = builtins.float
str_ = builtins.str
3 Models
- 3.1 MyNiuuu/Anicrafter_release all fiels/下载pretrained_models所有文件,保存文件夹结构
├── your comfyUI/models/AniCrafter/
| ├──pretrained_models
| ├── all fiels #pretrained_models目录下所有文件及文件结构
| ├── propainter
| ├── ProPainter.pth #propainter models 下次改成可预加载
| ├── raft-things.pth
| ├── recurrent_flow_completion.pth
- 3.2 Wan-AI/Wan2.1-I2V-14B-720P download clip,clipvison and vae /下载clip,clipvison 和vae
├── your comfyUI/models/vae/
| ├──Wan2.1_VAE.pth
├── models/clip_vision/
| ├── models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth
├── models/clip/
| ├── models_t5_umt5-xxl-enc-bf16.pth
- 3.3 gfpgan auto download/gfpgan 自动下载
- 3.4 Wan2.1-I2V-14B-720P single model from here Kijai/WanVideo_comfy 下载KJ的单体wan模型,全量跑不动
├── your comfyUI/models/diffusion_models/
| ├──Wan2_1-I2V-14B-720P_fp8_e4m3fn.safetensors #kj 16G
Example
#Citation
@article{niu2025anicrafter,
title={AniCrafter: Customizing Realistic Human-Centric Animation via Avatar-Background Conditioning in Video Diffusion Models},
author={Niu, Muyao and Cao, Mingdeng and Zhan, Yifan and Zhu, Qingtian and Ma, Mingze and Zhao, Jiancheng and Zeng, Yanhong and Zhong, Zhihang and Sun, Xiao and Zheng, Yinqiang},
journal={arXiv preprint arXiv:2505.20255},
year={2025}
}