Files
Claude a4a9dbc33a Auto-download U2Net model on startup; remove dead PyTorch U2Net module
U2Net only ever downloaded lazily on the first Remove Background click,
unlike SAM which retries on every container start. If that one attempt
failed (DNS/firewall) the model was never fetched again, surfacing as
"No background removal method available. Install u2net or rembg."

Mirrors the existing SAM auto-download/AUTO_DOWNLOAD_SAM pattern for
U2Net, and documents manual host-side recovery in the README.

Also deletes backend/app/services/u2net_model.py (hand-written
U2NET/U2NETP PyTorch classes) — unused since tools.py switched to
cv2.dnn.readNetFromONNX for background removal.
2026-06-18 13:10:07 +00:00

107 lines
4.3 KiB
Bash

#!/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