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.
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@@ -5,8 +5,9 @@
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# This script runs when the container starts. It:
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# 1. Initializes the database
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# 2. Downloads SAM model automatically (can be disabled with AUTO_DOWNLOAD_SAM=false)
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# 3. Downloads sample eye images if the catalog is empty
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# 4. Starts the FastAPI server
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# 3. Downloads U2Net model automatically (can be disabled with AUTO_DOWNLOAD_U2NET=false)
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# 4. Downloads sample eye images if the catalog is empty
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# 5. Starts the FastAPI server
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# =============================================================================
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set -e
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@@ -61,6 +62,36 @@ else
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fi
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fi
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echo ""
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echo "Checking U2Net model (Remove Background)..."
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echo "------------------------------------------"
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if [ -f "/app/data/models/u2net.onnx" ] || [ -f "/app/data/models/u2netp.onnx" ]; then
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echo "✓ U2Net model found - Remove Background will use local AI (free, offline)"
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else
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# Auto-download U2Net unless explicitly disabled
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AUTO_DOWNLOAD_U2NET="${AUTO_DOWNLOAD_U2NET:-true}"
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if [ "$AUTO_DOWNLOAD_U2NET" = "true" ]; then
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echo "U2Net model not found. Downloading automatically..."
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echo "(This is a one-time ~176MB download that persists across rebuilds)"
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echo ""
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python /scripts/download_u2net_model.py u2net || {
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echo ""
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echo "⚠ U2Net download failed (non-fatal)"
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echo " Remove Background will fall back to rembg (if installed)"
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echo " To retry later: docker exec -it ai-photo-edit-backend python /scripts/download_u2net_model.py u2net"
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}
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else
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echo ""
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echo "⚠ U2Net model not found (AUTO_DOWNLOAD_U2NET=false)"
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echo ""
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echo " Remove Background will fall back to rembg (if installed)"
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echo ""
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echo " To enable FREE offline Remove Background, run:"
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echo " docker exec -it ai-photo-edit-backend python /scripts/download_u2net_model.py u2net"
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echo ""
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fi
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fi
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echo ""
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echo "Checking GPU capabilities..."
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echo "------------------------------------------"
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