4.5 KiB
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)
1. Clone the ComfyUI Repository
First, clone the ComfyUI repository to your local machine:
git clone https://github.com/comfyanonymous/ComfyUI.git
cd ComfyUI
2. Create the Dockerfile
Create a Dockerfile in the root of your ComfyUI directory with the following content:
# Base image with Python 3.11 and CUDA 12.5 support
FROM nvidia/cuda:12.5.0-runtime-ubuntu22.04
# Install system dependencies
RUN apt-get update && apt-get install -y \
git \
python3-pip \
libgl1-mesa-glx \
&& rm -rf /var/lib/apt/lists/*
# Set working directory
WORKDIR /app
# Copy the cloned ComfyUI repository
COPY . /app
# Install Python dependencies
RUN pip install --upgrade pip
RUN pip install -r requirements.txt
# Clone and install ComfyUI Manager
RUN git clone https://github.com/ltdrdata/ComfyUI-Manager.git /app/custom_nodes/ComfyUI-Manager && \
pip install -r /app/custom_nodes/ComfyUI-Manager/requirements.txt
# Clone and install GGUF support for ComfyUI
RUN git clone https://github.com/city96/ComfyUI-GGUF.git /app/custom_nodes/ComfyUI-GGUF && \
pip install --upgrade gguf
# Expose the port used by ComfyUI
EXPOSE 8188
# Run ComfyUI with the server binding to 0.0.0.0
CMD ["python3", "main.py", "--listen", "0.0.0.0"]
3. Build the Docker Image
Navigate to the directory where the Dockerfile is located and build the Docker image:
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.
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
To use GGUF models or other safetensor models, follow the steps below to download them directly into the checkpoints directory.
-
Navigate to the Checkpoints Directory:
cd /home/mukul/dev-ai/vison/models/checkpoints -
Download
flux1-schnell-fp8.safetensors:wget https://huggingface.co/Comfy-Org/flux1-schnell/resolve/main/flux1-schnell-fp8.safetensors?download=true -O flux1-schnell-fp8.safetensors -
Download
flux1-dev-fp8.safetensors: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:
http://<your-server-ip>:8188
Replace <your-server-ip> 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
bootlegcategory) to load GGUF models. - Ensure your GGUF files are correctly named and placed in the
/app/models/checkpointsdirectory 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:
docker stop comfyui
To restart the container:
docker start comfyui
10. Logs and Troubleshooting
To view the container logs:
docker logs comfyui
This will provide details if anything goes wrong or if you encounter issues with GGUF models or node management.
This README.md provides the complete steps to set up ComfyUI with GGUF support in Docker, with instructions for downloading models into the checkpoints directory and managing nodes using ComfyUI Manager.