Hey there! This repository sets up ComfyUI, a powerful node-based interface for Stable Diffusion, using Docker. I've created separate configurations for AMD, Intel, and Nvidia GPUs to hopefully get everyone up and running smoothly.

Summary

This docker-compose.yml file defines three ComfyUI services:

comfyui-amd: Optimized for AMD GPUs.
comfyui-intel: Optimized for Intel GPUs.
comfyui-nvidia: Configured for Nvidia GPUs.

You'll be able to access ComfyUI through your browser at http://localhost:8188 (assuming you're running this locally) or http://<ip>:8188.

Dependencies

Before you start, make sure you have the following installed:

Docker: You'll need Docker installed and running on your system. https://docs.docker.com/get-docker/
Docker Compose: Docker Compose is used to define and run multi-container Docker applications. It's usually bundled with Docker Desktop, but if not, you can install it separately: https://docs.docker.com/compose/install/
GPU Drivers: Make sure you have the latest drivers installed for your GPU (AMD, Intel, or Nvidia).
Models: You'll need to download the Stable Diffusion models and place them in the ./models directory. (This directory will be mounted into the container).

Getting Started

Here's how to get everything up and running:

Clone the repository: Clone this repository to your local machine.
Download Models: Download your preferred Stable Diffusion models (e.g., checkpoints, VAEs, LoRAs) and place them in the ./models directory.
Choose your profile: Pick the profile corresponding to your GPU: comfyui-amd, comfyui-intel, or comfyui-nvidia.
Run Docker Compose: Open your terminal, navigate to the directory where you cloned the repository, and run the following command, specifying the profile:
```
docker-compose --profile comfyui-amd up -d  # For AMD
docker-compose --profile comfyui-intel up -d # For Intel
docker-compose --profile comfyui-nvidia up -d # For Nvidia
```
The -d flag runs the containers in detached mode (in the background).
Access ComfyUI: Once the containers are running, open your web browser and go to http://localhost:8188. You should see the ComfyUI interface.

To stop the containers:

docker-compose down

Important Notes:

The CLI_ARGS environment variables in each service are specific optimizations for each GPU type. You can customize these if you want to experiment with different settings.
The ./output and ./user directories are used for saving generated images and custom workflows, respectively.
Set the right ownership/permissions for ./models, ./output, and ./user (chown 1001:1001 models)

Let me know if you run into any issues or have suggestions for improvements!