ComfyUI CogVideoX-Fun

Easily use CogVideoX-Fun inside ComfyUI!

Installation
Node types
Example workflows

1. Installation

Option 1: Install via ComfyUI Manager

TBD

Option 2: Install manually

The CogVideoX-Fun repository needs to be placed at ComfyUI/custom_nodes/CogVideoX-Fun/.

cd ComfyUI/custom_nodes/

# Git clone the cogvideox_fun itself
git clone https://github.com/aigc-apps/CogVideoX-Fun.git

# Git clone the video outout node
git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite.git

cd CogVideoX-Fun/
python install.py

2. Download models into `ComfyUI/models/CogVideoX_Fun/`

V1.1:

名称	存储空间	Hugging Face	Model Scope	描述
CogVideoX-Fun-V1.1-2b-InP.tar.gz	Before extraction:9.7 GB / After extraction: 13.0 GB	🤗Link	😄Link	Our official graph-generated video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second. Noise has been added to the reference image, and the amplitude of motion is greater compared to V1.0.
CogVideoX-Fun-V1.1-5b-InP.tar.gz	Before extraction:16.0 GB / After extraction: 20.0 GB	🤗Link	😄Link	Our official graph-generated video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second. Noise has been added to the reference image, and the amplitude of motion is greater compared to V1.0.
CogVideoX-Fun-V1.1-2b-Pose.tar.gz	Before extraction:9.7 GB / After extraction: 13.0 GB	🤗Link	😄Link	Our official pose-control video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second.
CogVideoX-Fun-V1.1-5b-Pose.tar.gz	Before extraction:16.0 GB / After extraction: 20.0 GB	🤗Link	😄Link	Our official pose-control video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second.

V1.0:

Name	Storage Space	Hugging Face	Model Scope	Description
CogVideoX-Fun-2b-InP.tar.gz	Before extraction:9.7 GB / After extraction: 13.0 GB	🤗Link	😄Link	Our official graph-generated video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second.
CogVideoX-Fun-5b-InP.tar.gz	Before extraction:16.0 GB / After extraction: 20.0 GB	🤗Link	😄Link	Our official graph-generated video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second.