| # ComfyUI CogVideoX-Fun | |
| Easily use CogVideoX-Fun inside ComfyUI! | |
| - [Installation](#1-installation) | |
| - [Node types](#node-types) | |
| - [Example workflows](#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](https://huggingface.co/alibaba-pai/CogVideoX-Fun-V1.1-2b-InP) | [😄Link](https://modelscope.cn/models/PAI/CogVideoX-Fun-V1.1-2b-InP) | 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](https://huggingface.co/alibaba-pai/CogVideoX-Fun-V1.1-5b-InP) | [😄Link](https://modelscope.cn/models/PAI/CogVideoX-Fun-V1.1-5b-InP) | 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](https://huggingface.co/alibaba-pai/CogVideoX-Fun-V1.1-2b-Pose) | [😄Link](https://modelscope.cn/models/PAI/CogVideoX-Fun-V1.1-2b-Pose) | 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](https://huggingface.co/alibaba-pai/CogVideoX-Fun-V1.1-5b-Pose) | [😄Link](https://modelscope.cn/models/PAI/CogVideoX-Fun-V1.1-5b-Pose) | 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](https://huggingface.co/alibaba-pai/CogVideoX-Fun-2b-InP) | [😄Link](https://modelscope.cn/models/PAI/CogVideoX-Fun-2b-InP) | 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](https://huggingface.co/alibaba-pai/CogVideoX-Fun-5b-InP)| [😄Link](https://modelscope.cn/models/PAI/CogVideoX-Fun-5b-InP)| 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. | | |
| ## Node types | |
| - **LoadCogVideoX_Fun_Model** | |
| - Loads the CogVideoX-Fun model | |
| - **CogVideoX_FUN_TextBox** | |
| - Write the prompt for CogVideoX-Fun model | |
| - **CogVideoX_Fun_I2VSampler** | |
| - CogVideoX-Fun Sampler for Image to Video | |
| - **CogVideoX_Fun_T2VSampler** | |
| - CogVideoX-Fun Sampler for Text to Video | |
| - **CogVideoX_Fun_V2VSampler** | |
| - CogVideoX-Fun Sampler for Video to Video | |
| ## Example workflows | |
| ### Video to video generation | |
| Our ui is shown as follow, this is the [download link](https://pai-aigc-photog.oss-cn-hangzhou.aliyuncs.com/cogvideox_fun/asset/v1.1/cogvideoxfunv1.1_workflow_v2v.json) of the json: | |
|  | |
| You can run the demo using following video: | |
| [demo video](https://pai-aigc-photog.oss-cn-hangzhou.aliyuncs.com/cogvideox_fun/asset/v1/play_guitar.mp4) | |
| ### Control video generation | |
| Our ui is shown as follow, this is the [download link](https://pai-aigc-photog.oss-cn-hangzhou.aliyuncs.com/cogvideox_fun/asset/v1.1/cogvideoxfunv1.1_workflow_v2v_control.json) of the json: | |
|  | |
| You can run the demo using following video: | |
| [demo video](https://pai-aigc-photog.oss-cn-hangzhou.aliyuncs.com/cogvideox_fun/asset/v1.1/pose.mp4) | |
| ### Image to video generation | |
| Our ui is shown as follow, this is the [download link](https://pai-aigc-photog.oss-cn-hangzhou.aliyuncs.com/cogvideox_fun/asset/v1.1/cogvideoxfunv1.1_workflow_i2v.json) of the json: | |
|  | |
| You can run the demo using following photo: | |
|  | |
| ### Text to video generation | |
| Our ui is shown as follow, this is the [download link](https://pai-aigc-photog.oss-cn-hangzhou.aliyuncs.com/cogvideox_fun/asset/v1.1/cogvideoxfunv1.1_workflow_t2v.json) of the json: | |
|  |