# ComfyUI VideoX-Fun Easily use VideoX-Fun inside ComfyUI! - [Installation](#1-installation) - [Node types](#node-types) - [Example workflows](#example-workflows) ## Installation ### 1. ComfyUI Installation #### Option 1: Install via ComfyUI Manager ![](https://pai-aigc-photog.oss-cn-hangzhou.aliyuncs.com/wan_fun/asset/v1.1/comfyui_manage.jpg) #### Option 2: Install manually The VideoX-Fun repository needs to be placed at `ComfyUI/custom_nodes/VideoX-Fun/`. ``` cd ComfyUI/custom_nodes/ # Git clone the cogvideox_fun itself git clone https://github.com/aigc-apps/VideoX-Fun.git # Git clone the video outout node git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite.git # Git clone the KJ Nodes git clone https://github.com/kijai/ComfyUI-KJNodes.git cd VideoX-Fun/ python install.py ``` ### 2. Download models #### i、Full loading Download full model into `ComfyUI/models/Fun_Models/`. #### ii、Chunked loading Put the transformer model weights to the `ComfyUI/models/diffusion_models/`. Put the text encoer model weights to the `ComfyUI/models/text_encoders/`. Put the clip vision model weights to the `ComfyUI/models/clip_vision/`. Put the vae model weights to the `ComfyUI/models/vae/`. Put the tokenizer files to the `ComfyUI/models/Fun_Models/` (For example: `ComfyUI/models/Fun_Models/umt5-xxl`). ### 3. (Optional) Download preprocess weights into `ComfyUI/custom_nodes/Fun_Models/Third_Party/`. Except for the fun models' weights, if you want to use the control preprocess nodes, you can download the preprocess weights to `ComfyUI/custom_nodes/Fun_Models/Third_Party/`. ``` remote_onnx_det = "https://huggingface.co/yzd-v/DWPose/resolve/main/yolox_l.onnx" remote_onnx_pose = "https://huggingface.co/yzd-v/DWPose/resolve/main/dw-ll_ucoco_384.onnx" remote_zoe= "https://huggingface.co/lllyasviel/Annotators/resolve/main/ZoeD_M12_N.pt" ``` ## Support models - [CogVideox-Fun](cogvideox_fun/README.md) - [Qwen-Image](qwenimage/README.md) - [Wan2.1](wan2_1/README.md) - [Wan2.2](wan2_2/README.md) - [Wan2.1-Fun](wan2_1_fun/README.md) - [Wan2.2-Fun](wan2_2_fun/README.md) - [Wan2.2-VACE-Fun](wan2_2_fun/README.md) - [Z-Image](z_image/README.md)