ComfyUI_AniCrafter

★ 36

视频扩散人物动画条件化生成ComfyUI插件

在ComfyUI中集成AniCrafter，通过头像与背景条件化的视频扩散模型生成逼真的以人为中心动画，便于定制人物动作与背景交互。

💡 通过头像-背景条件化快速生成定制人物动画。

🍴 1 Forks💻 Python🔄 2025-07-21

🔗 GitHub 原文

📦

网盘下载

复制链接后前往夸克网盘下载

https://pan.quark.cn/s/c1eafc754fbb

📦 requirements.txt

av
addict
einops
future
numpy
scipy
opencv-python
matplotlib
scikit-image
#
torch>=1.7.1
#
torchvision>=0.8.2
imageio-ffmpeg
pyyaml
requests
timm
yapf

📄 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.

Update

0721 适配lightX2V的 LCM调度器（4步，代码直接从lightX2V获取） UniPC调度器(10步，代码直接从KJ那拿的)，修改预处理视频文件列表加载逻辑，去掉bgkb视频的必要条件。

0719 pm 新增lightX2V lora加载和常规style lora加载菜单，如果使用lightX2V lora，cfg请调整为1，推荐步数6步，风格lora需要填写prompt；

0719 新增镜头fov参数，全身镜头默认60，对于广角镜头需要调节至小于45，否则smplx的人物占比会变小，模型支持480P；

0718 新增mmgp模式可选，高GPU和VRAM 可以选none或high模式，新增bgkb视频可选输入（背景去掉人物内绘，推荐用插件ComfyUI_DiffuEraser），请使用最新的workflow.

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（使用720P模型时）。

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 mmcv_full-1.7.2

mmcv install error look this

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/

Install TIPS

2.1 如果python版本大于3.9 因为numpy的原因，需要手动修改chumpy库如下/If python version >3.9,need modify ‘chumpy’ packeage ：

Path ‘…site-packages/chumpy/ch.py, line 1203 ,change 修改参数如下

inspect.getargspec
to
inspect.getfullargspec

2.2 init.py 修改参数如下 :

.../site-packages/chumpy/__init__.py  #line 11,change
#from numpy import bool, int, float, complex, object, unicode, str, nan, inf

from numpy import complex_, object_, nan, inf
import builtins
bool_ = builtins.bool
int_ = builtins.int
float_ = builtins.float
str_ = builtins.str

2.3 …Lib\site-packages\mmcv\device\npu\data_parallel.py line 20 data_parallel报错时，打开文件，修改如下（就是加个list）

#for m in sys.modules:
for m in list(sys.modules):

3 Models

3.1.1 MyNiuuu/Anicrafter_release all fiels/下载pretrained_models所有文件，保存文件夹结构

3.1.2 propainter download/下载地址；

├── 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 or Wan2.1-I2V-14B-480P single model from here Kijai/WanVideo_comfy 下载KJ的单体wan模型

├── your comfyUI/models/diffusion_models/
|   ├──Wan2_1-I2V-14B-720P_fp8_e4m3fn.safetensors  # or  Wan2_1-I2V-14B-480P_fp8_e4m3fn.safetensors  #16G

3.4 wan 2.1 lora lightX2V or other from here Kijai/WanVideo_comfy 支持加速lora

  ├── your comfyUI/models/loras/
     ├──lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors # or other

Example

new use lightx2v

version

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}
}