# ComfyUI Docker Setup with GGUF Support and ComfyUI Manager This guide provides detailed steps to build and run **ComfyUI** with **GGUF support** and **ComfyUI Manager** using Docker. The GGUF format is optimized for quantized models, and ComfyUI Manager is included for easy node management. ## Prerequisites Before starting, ensure you have the following installed on your system: - **Docker** - **NVIDIA GPU with CUDA support** (if using GPU acceleration) - **Create Directory structure for git repo Models and Checkpoints** ```bash mkdir -p ~/dev-ai/vison/models/checkpoints ``` ### 1. Clone the ComfyUI Repository First, navigate to `~/dev-ai/vison` directory and clone the ComfyUI repository to your local machine: ```bash cd ~/dev-ai/vison ``` ```bash git clone https://github.com/comfyanonymous/ComfyUI.git cd ComfyUI ``` ### 2. Create the Dockerfile Copy the provided `Dockerfile` in the root of your ComfyUI directory. This file contains the necessary configurations for building the Docker container with GGUF support. ### 3. Build the Docker Image ```bash docker build -t comfyui-gguf:latest . ``` This will create a Docker image named `comfyui-gguf:latest` with both **ComfyUI Manager** and **GGUF support** built in. ### 4. Run the Docker Container Once the image is built, you can run the Docker container with volume mapping for your models. ```bash docker run --name comfyui -p 8188:8188 --gpus all \ -v /home/mukul/dev-ai/vison/models:/app/models \ -d comfyui-gguf:latest ``` This command maps your local `models` directory to `/app/models` inside the container and exposes ComfyUI on port `8188`. ### 5. Download and Place Checkpoint Models Download and place your civitai checkpoint models in the `checkpoints` directory inside the container: https://civitai.com/models/139562/realvisxl-v50 To use GGUF models or other safetensor models, follow the steps below to download them directly into the `checkpoints` directory. 1. **Navigate to the Checkpoints Directory**: ```bash cd /home/mukul/dev-ai/vison/models/checkpoints ``` 2. **Download `flux1-schnell-fp8.safetensors`**: ```bash wget https://huggingface.co/Comfy-Org/flux1-schnell/resolve/main/flux1-schnell-fp8.safetensors?download=true -O flux1-schnell-fp8.safetensors ``` 3. **Download `flux1-dev-fp8.safetensors`**: ```bash wget https://huggingface.co/Comfy-Org/flux1-dev/resolve/main/flux1-dev-fp8.safetensors?download=true -O flux1-dev-fp8.safetensors ``` These commands will place the corresponding `.safetensors` files into the `checkpoints` directory. ### 6. Access ComfyUI After starting the container, access the ComfyUI interface in your web browser: ```bash http://:8188 ``` Replace `` with your server's IP address or use `localhost` if you're running it locally. ### 7. Using GGUF Models In the ComfyUI interface: - Use the **UnetLoaderGGUF** node (found in the `bootleg` category) to load GGUF models. - Ensure your GGUF files are correctly named and placed in the `/app/models/checkpoints` directory for detection by the loader node. ### 8. Managing Nodes with ComfyUI Manager With **ComfyUI Manager** built into the image: - **Install** missing nodes as needed when uploading workflows. - **Enable/Disable** conflicting nodes from the ComfyUI Manager interface. ### 9. Stopping and Restarting the Docker Container To stop the running container: ```bash docker stop comfyui ``` To restart the container: ```bash docker start comfyui ``` ### 10. Logs and Troubleshooting To view the container logs: ```bash docker logs comfyui ``` This will provide details if anything goes wrong or if you encounter issues with GGUF models or node management.