db7f8730db
This adds av>=14.2 to satisfy Comfy’s API-node canary, ensuring video/audio nodes import without error, and uses the standard PyTorch CUDA 12.9 index URL syntax for reliability. It also installs nvidia-ml-py to align with the ecosystem shift away from deprecated pynvml, reducing future NVML warnings while preserving current functionality. The rest of the base remains unchanged, and existing ComfyUI requirements continue to install as before. |
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|---|---|---|
| .ci | ||
| .github | ||
| alembic_db | ||
| api_server | ||
| app | ||
| comfy | ||
| comfy_api | ||
| comfy_api_nodes | ||
| comfy_config | ||
| comfy_execution | ||
| comfy_extras | ||
| custom_nodes | ||
| input | ||
| middleware | ||
| models | ||
| output | ||
| script_examples | ||
| tests | ||
| tests-unit | ||
| utils | ||
| .gitattributes | ||
| .gitignore | ||
| alembic.ini | ||
| CODEOWNERS | ||
| comfyui_version.py | ||
| CONTRIBUTING.md | ||
| cuda_malloc.py | ||
| Dockerfile | ||
| entrypoint.sh | ||
| execution.py | ||
| extra_model_paths.yaml.example | ||
| folder_paths.py | ||
| hook_breaker_ac10a0.py | ||
| latent_preview.py | ||
| LICENSE | ||
| main.py | ||
| new_updater.py | ||
| node_helpers.py | ||
| nodes.py | ||
| protocol.py | ||
| pyproject.toml | ||
| pytest.ini | ||
| README.md | ||
| requirements.txt | ||
| server.py | ||
ComfyUI-Docker
An automated Repo for ComfyUI Docker image builds, optimized for NVIDIA GPUs.
About • Features • Getting Started • Usage • License
About
This repository automates the creation of Docker images for ComfyUI, a powerful and modular stable diffusion GUI and backend. It syncs with the upstream ComfyUI repository, builds a Docker image on new releases, and pushes it to GitHub Container Registry (GHCR).
I created this repo for myself as a simple way to stay up to date with the latest ComfyUI versions while having an easy-to-use Docker image. It's particularly suited for setups with NVIDIA GPUs, leveraging CUDA for accelerated performance.
Built With
- Docker
- GitHub Actions for automation
- PyTorch with CUDA support
- Based on Python 3.12 slim image
Features
- Automated Sync & Build: Daily checks for upstream releases, auto-merges changes, and builds/pushes Docker images.
- NVIDIA GPU Ready: Pre-configured with CUDA-enabled PyTorch for seamless GPU acceleration.
- Non-Root Runtime: Runs as a non-root user for better security.
- Pre-Installed Manager: Includes ComfyUI-Manager for easy node/extensions management.
Getting Started
Prerequisites
- Docker: Installed on your host (e.g., Docker Desktop or Engine).
- NVIDIA GPU: For GPU support (ensure NVIDIA drivers and CUDA are installed on the host).
- NVIDIA Container Toolkit: For GPU passthrough in Docker (install via official guide).
Pulling the Image
The latest image is available on GHCR:
docker pull ghcr.io/clsferguson/comfyui-docker:latest
For a specific version (synced with upstream tags, starting at 0.3.57):
docker pull ghcr.io/clsferguson/comfyui-docker:vX.Y.Z
Docker Compose
For easier management, use this docker-compose.yml:
services:
comfyui:
image: ghcr.io/clsferguson/comfyui-docker:latest
container_name: ComfyUI
runtime: nvidia
restart: unless-stopped
ports:
- 8188:8188
environment:
- TZ=America/Edmonton
- PUID=1000
- GUID=1000
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
volumes:
- comfyui_data:/app/ComfyUI/user/default
- comfyui_nodes:/app/ComfyUI/custom_nodes
- /mnt/comfyui/models:/app/ComfyUI/models
- /mnt/comfyui/input:/app/ComfyUI/input
- /mnt/comfyui/output:/app/ComfyUI/output
Run with docker compose up -d.
Usage
Basic Usage
Access ComfyUI at http://localhost:8188 after starting the container using Docker Compose.
Environment Variables
- Set via
.envfile or-eflags indocker composeordocker run.
License
Distributed under the MIT License (same as upstream ComfyUI). See LICENSE for more information.
Contact
- Creator: clsferguson - GitHub
- Project Link: https://github.com/clsferguson/ComfyUI-Docker
Built with ❤️ for easy AI workflows.