#!/bin/bash # ============================================================================= # AI Photo Edit - Container Startup Script # ============================================================================= # This script runs when the container starts. It: # 1. Initializes the database # 2. Downloads SAM model automatically (can be disabled with AUTO_DOWNLOAD_SAM=false) # 3. Downloads U2Net model automatically (can be disabled with AUTO_DOWNLOAD_U2NET=false) # 4. Downloads sample eye images if the catalog is empty # 5. Starts the FastAPI server # ============================================================================= set -e echo "==========================================" echo "AI Photo Edit - Starting Up" echo "==========================================" # Ensure data directories exist mkdir -p /app/data/projects mkdir -p /app/data/patches mkdir -p /app/data/models mkdir -p /app/data/patch_library # Initialize database FIRST (before eye import) echo "" echo "Initializing database..." echo "------------------------------------------" cd /app && python /scripts/init_database.py || echo "Warning: Database init failed (non-fatal)" # Check and download SAM model automatically echo "" echo "Checking SAM model (Smart Select)..." echo "------------------------------------------" if [ -f "/app/data/models/sam_model.pth" ] || \ [ -f "/app/data/models/sam_vit_b_01ec64.pth" ] || \ [ -f "/app/data/models/sam_vit_l_0b3195.pth" ] || \ [ -f "/app/data/models/sam_vit_h_4b8939.pth" ]; then echo "✓ SAM model found - Smart Select will use local AI (free, offline)" else # Auto-download SAM unless explicitly disabled AUTO_DOWNLOAD_SAM="${AUTO_DOWNLOAD_SAM:-true}" if [ "$AUTO_DOWNLOAD_SAM" = "true" ]; then echo "SAM model not found. Downloading automatically..." echo "(This is a one-time ~375MB download that persists across rebuilds)" echo "" python /scripts/download_sam_model.py vit_b || { echo "" echo "⚠ SAM download failed (non-fatal)" echo " Smart Select will fall back to Replicate API (requires REPLICATE_API_KEY)" echo " To retry later: docker exec -it ai-photo-edit-backend python /scripts/download_sam_model.py" } else echo "" echo "⚠ SAM model not found (AUTO_DOWNLOAD_SAM=false)" echo "" echo " Smart Select will use Replicate API (requires REPLICATE_API_KEY)" echo "" echo " To enable FREE offline Smart Select, run:" echo " docker exec -it ai-photo-edit-backend python /scripts/download_sam_model.py" echo "" fi fi echo "" echo "Checking U2Net model (Remove Background)..." echo "------------------------------------------" if [ -f "/app/data/models/u2net.onnx" ] || [ -f "/app/data/models/u2netp.onnx" ]; then echo "✓ U2Net model found - Remove Background will use local AI (free, offline)" else # Auto-download U2Net unless explicitly disabled AUTO_DOWNLOAD_U2NET="${AUTO_DOWNLOAD_U2NET:-true}" if [ "$AUTO_DOWNLOAD_U2NET" = "true" ]; then echo "U2Net model not found. Downloading automatically..." echo "(This is a one-time ~176MB download that persists across rebuilds)" echo "" python /scripts/download_u2net_model.py u2net || { echo "" echo "⚠ U2Net download failed (non-fatal)" echo " Remove Background will fall back to rembg (if installed)" echo " To retry later: docker exec -it ai-photo-edit-backend python /scripts/download_u2net_model.py u2net" } else echo "" echo "⚠ U2Net model not found (AUTO_DOWNLOAD_U2NET=false)" echo "" echo " Remove Background will fall back to rembg (if installed)" echo "" echo " To enable FREE offline Remove Background, run:" echo " docker exec -it ai-photo-edit-backend python /scripts/download_u2net_model.py u2net" echo "" fi fi echo "" echo "Checking GPU capabilities..." echo "------------------------------------------" python /scripts/gpu_setup.py || echo "Warning: GPU detection failed (non-fatal)" echo "" echo "==========================================" echo "Starting FastAPI server..." echo "==========================================" # Start the server exec uvicorn app.main:app --host 0.0.0.0 --port 8000