Add GitHub Actions for automated Docker builds

- Auto-build and push to ghcr.io on push to main
- docker-compose.yml now uses pre-built image by default
- Users can docker pull ghcr.io/fspecii/heartmula-studio:latest
- Supports version tags on releases
- Build caching for faster CI

Author: fspecii

.github/workflows/docker-publish.yml

@@ -0,0 +1,61 @@
+name: Build and Push Docker Image
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - 'Dockerfile'
+      - 'docker-compose.yml'
+      - 'backend/**'
+      - 'frontend/**'
+      - '.github/workflows/docker-publish.yml'
+  release:
+    types: [published]
+  workflow_dispatch:  # Allow manual trigger
+
+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 Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract metadata (tags, labels)
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+          tags: |
+            type=raw,value=latest,enable=${{ github.ref == 'refs/heads/main' }}
+            type=semver,pattern={{version}}
+            type=semver,pattern={{major}}.{{minor}}
+            type=sha,prefix=
+
+      - 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

README.md

@@ -139,7 +139,7 @@ The easiest way to run HeartMuLa Studio - no Python/Node setup required.
 ### Quick Start with Docker
 
 ```bash
-# Clone and start
+# Clone and start (uses pre-built image from GitHub Container Registry)
 git clone https://github.com/fspecii/HeartMuLa-Studio.git
 cd HeartMuLa-Studio
 docker compose up -d
@@ -150,6 +150,23 @@ docker compose logs -f
 
 Open **http://localhost:8000**
 
+### Alternative: Pull and Run Directly
+
+```bash
+# Create directories for persistent data
+mkdir -p backend/models backend/generated_audio backend/ref_audio
+
+# Run the pre-built image
+docker run -d \
+  --gpus all \
+  -p 8000:8000 \
+  -v ./backend/models:/app/backend/models \
+  -v ./backend/generated_audio:/app/backend/generated_audio \
+  -v ./backend/ref_audio:/app/backend/ref_audio \
+  --name heartmula-studio \
+  ghcr.io/fspecii/heartmula-studio:latest
+```
+
 ### What Happens on First Run
 
 1. Docker builds the image (~10GB, includes CUDA + PyTorch)

docker-compose.yml

@@ -1,9 +1,11 @@
 services:
   heartmula:
-    build:
-      context: .
-      dockerfile: Dockerfile
-    image: heartmula-studio:latest
+    # Use pre-built image from GitHub Container Registry (faster)
+    image: ghcr.io/fspecii/heartmula-studio:latest
+    # Or build locally: uncomment the lines below and comment out the image line above
+    # build:
+    #   context: .
+    #   dockerfile: Dockerfile
     container_name: heartmula-studio
 
     # GPU access - requires NVIDIA Container Toolkit