Add weekly automated Docker image builds

.dockerignore

@@ -0,0 +1,48 @@
+# Git
+.git
+.gitignore
+.gitattributes
+
+# Python
+__pycache__
+*.py[cod]
+*$py.class
+*.so
+.Python
+venv/
+env/
+ENV/
+
+# IDE
+.vscode
+.idea
+*.swp
+*.swo
+*~
+
+# Testing
+.pytest_cache
+.coverage
+htmlcov/
+
+# Documentation
+*.md
+!README.md
+!DOCKER.md
+docs/
+
+# CI/CD
+.github/
+.ci/
+
+# Models and data (large files that should be downloaded separately)
+models/*
+input/*
+output/*
+temp/*
+
+# Custom nodes (users can add their own)
+custom_nodes/*
+
+# Logs
+*.log

.github/workflows/docker-weekly-release.yml

@@ -0,0 +1,78 @@
+name: Weekly Docker Image Release
+
+on:
+  # Run every Monday at 00:00 UTC
+  schedule:
+    - cron: '0 0 * * 1'
+  # Allow manual trigger
+  workflow_dispatch:
+
+env:
+  REGISTRY: ghcr.io
+  IMAGE_NAME: ${{ github.repository }}
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to the Container registry
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract version from pyproject.toml
+        id: version
+        run: |
+          # Read version from pyproject.toml
+          VERSION=$(grep -oP 'version = "\K[^"]+' pyproject.toml)
+          echo "version=$VERSION" >> $GITHUB_OUTPUT
+          echo "ComfyUI Version: $VERSION"
+
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+          tags: |
+            type=raw,value=latest
+            type=raw,value=${{ steps.version.outputs.version }}
+            type=sha,prefix=${{ steps.version.outputs.version }}-
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+          platforms: linux/amd64
+
+      - name: Image summary
+        run: |
+          echo "## Docker Image Published :rocket:" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "**Version:** ${{ steps.version.outputs.version }}" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "**Images:**" >> $GITHUB_STEP_SUMMARY
+          echo '```' >> $GITHUB_STEP_SUMMARY
+          echo "${{ steps.meta.outputs.tags }}" >> $GITHUB_STEP_SUMMARY
+          echo '```' >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "**Pull command:**" >> $GITHUB_STEP_SUMMARY
+          echo '```bash' >> $GITHUB_STEP_SUMMARY
+          echo "docker pull ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:latest" >> $GITHUB_STEP_SUMMARY
+          echo '```' >> $GITHUB_STEP_SUMMARY

DOCKER.md

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+# ComfyUI Docker Image
+
+This repository includes automated Docker image builds that are released weekly.
+
+## Automated Builds
+
+A Docker image is automatically built and published to GitHub Container Registry (ghcr.io) every Monday at 00:00 UTC via GitHub Actions workflow.
+
+## Using the Docker Image
+
+### Pull the latest image
+
+```bash
+docker pull ghcr.io/synapticore-studio/comfyui:latest
+```
+
+### Pull a specific version
+
+```bash
+docker pull ghcr.io/synapticore-studio/comfyui:0.13.0
+```
+
+### Run ComfyUI in a container
+
+```bash
+docker run -d \
+  --name comfyui \
+  -p 8188:8188 \
+  -v $(pwd)/models:/app/models \
+  -v $(pwd)/input:/app/input \
+  -v $(pwd)/output:/app/output \
+  ghcr.io/synapticore-studio/comfyui:latest
+```
+
+Access ComfyUI at: http://localhost:8188
+
+### Run with GPU support (NVIDIA)
+
+For GPU support, you need nvidia-docker:
+
+```bash
+docker run -d \
+  --name comfyui \
+  --gpus all \
+  -p 8188:8188 \
+  -v $(pwd)/models:/app/models \
+  -v $(pwd)/input:/app/input \
+  -v $(pwd)/output:/app/output \
+  ghcr.io/synapticore-studio/comfyui:latest
+```
+
+## Building Locally
+
+If you want to build the Docker image locally:
+
+```bash
+docker build -t comfyui:local .
+```
+
+## Docker Compose
+
+Create a `docker-compose.yml` file:
+
+```yaml
+version: '3.8'
+
+services:
+  comfyui:
+    image: ghcr.io/synapticore-studio/comfyui:latest
+    ports:
+      - "8188:8188"
+    volumes:
+      - ./models:/app/models
+      - ./input:/app/input
+      - ./output:/app/output
+      - ./custom_nodes:/app/custom_nodes
+    environment:
+      - PYTHONUNBUFFERED=1
+    # Uncomment for GPU support
+    # deploy:
+    #   resources:
+    #     reservations:
+    #       devices:
+    #         - driver: nvidia
+    #           count: all
+    #           capabilities: [gpu]
+```
+
+Run with:
+
+```bash
+docker-compose up -d
+```
+
+## Volumes
+
+The Docker image uses the following directories:
+
+- `/app/models` - Store your AI models here
+- `/app/input` - Input files for processing
+- `/app/output` - Generated output files
+- `/app/custom_nodes` - Custom nodes directory
+
+Mount these directories as volumes to persist data between container restarts.
+
+## Configuration
+
+The default command runs ComfyUI with:
+- Listen on all interfaces (`--listen 0.0.0.0`)
+- Port 8188 (`--port 8188`)
+
+You can override this by providing your own command:
+
+```bash
+docker run -p 8188:8188 ghcr.io/synapticore-studio/comfyui:latest \
+  python main.py --listen 0.0.0.0 --port 8188 --cpu
+```
+
+## Manual Workflow Trigger
+
+The Docker build workflow can also be triggered manually:
+
+1. Go to Actions tab in GitHub
+2. Select "Weekly Docker Image Release"
+3. Click "Run workflow"
+
+## Image Tags
+
+- `latest` - The most recent build
+- `<version>` - Specific version (e.g., `0.13.0`)
+- `<version>-<sha>` - Version with git commit SHA
+
+## Notes
+
+- Models are not included in the Docker image and need to be downloaded separately
+- The image is optimized for CPU execution by default
+- For GPU support, ensure you have the appropriate NVIDIA drivers and nvidia-docker installed

Dockerfile

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+# ComfyUI Docker Image
+FROM python:3.11-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    git \
+    libgl1-mesa-glx \
+    libglib2.0-0 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# Copy the application
+COPY . .
+
+# Create necessary directories
+RUN mkdir -p models/checkpoints models/vae models/loras models/controlnet \
+    models/clip models/unet models/upscale_models models/embeddings \
+    models/clip_vision models/style_models models/vae_approx \
+    input output temp custom_nodes
+
+# Expose the default port
+EXPOSE 8188
+
+# Set environment variables
+ENV PYTHONUNBUFFERED=1
+ENV HF_HUB_DISABLE_TELEMETRY=1
+ENV DO_NOT_TRACK=1
+
+# Run ComfyUI
+CMD ["python", "main.py", "--listen", "0.0.0.0", "--port", "8188"]

README.md

@@ -49,6 +49,11 @@ ComfyUI lets you design and execute advanced stable diffusion pipelines using a
 #### [Manual Install](#manual-install-windows-linux)
 Supports all operating systems and GPU types (NVIDIA, AMD, Intel, Apple Silicon, Ascend).
 
+#### [Docker](#docker-deployment)
+- Run ComfyUI in a containerized environment.
+- Weekly automated builds available on GitHub Container Registry.
+- See [DOCKER.md](DOCKER.md) for detailed instructions.
+
 ## [Examples](https://comfyanonymous.github.io/ComfyUI_examples/)
 See what ComfyUI can do with the [example workflows](https://comfyanonymous.github.io/ComfyUI_examples/).
 
@@ -326,6 +331,50 @@ For models compatible with Iluvatar Extension for PyTorch. Here's a step-by-step
 2. Launch ComfyUI by running `python main.py`
 
 
+## Docker Deployment
+
+ComfyUI can be run in a Docker container with automated weekly builds.
+
+### Quick Start
+
+```bash
+# Pull the latest image
+docker pull ghcr.io/synapticore-studio/comfyui:latest
+
+# Run ComfyUI
+docker run -d \
+  --name comfyui \
+  -p 8188:8188 \
+  -v $(pwd)/models:/app/models \
+  -v $(pwd)/input:/app/input \
+  -v $(pwd)/output:/app/output \
+  ghcr.io/synapticore-studio/comfyui:latest
+```
+
+Access ComfyUI at: http://localhost:8188
+
+### GPU Support
+
+For NVIDIA GPU support:
+
+```bash
+docker run -d \
+  --name comfyui \
+  --gpus all \
+  -p 8188:8188 \
+  -v $(pwd)/models:/app/models \
+  ghcr.io/synapticore-studio/comfyui:latest
+```
+
+### More Information
+
+See [DOCKER.md](DOCKER.md) for detailed Docker instructions including:
+- Automated weekly builds
+- Docker Compose setup
+- Volume configuration
+- Building locally
+
+
 ## [ComfyUI-Manager](https://github.com/Comfy-Org/ComfyUI-Manager/tree/manager-v4)
 
 **ComfyUI-Manager** is an extension that allows you to easily install, update, and manage custom nodes for ComfyUI.