DreamTail v1.0.0 with IP-Adapter FaceID support

- SDXL image generation using RealVisXL_V4.0
- IP-Adapter FaceID integration for consistent face generation
- Simplified API (removed client_id requirement)
- New params: face_image, face_strength
- 'vixy' shortcut for face-locked generation
- Queue-based async job processing
- FastAPI with proper error handling

Co-authored-by: Alex <alex@k4zka.online>

scripts/download-models.sh

@@ -0,0 +1,53 @@
+#!/bin/bash
+# Download SDXL models for DreamTail using Docker
+set -e
+
+echo "📥 Downloading SDXL models..."
+echo "This will download ~13GB of model weights"
+echo ""
+
+# Model cache directory
+MODELS_DIR="${DREAMTAIL_MODELS:-/mnt/nvme/models}"
+
+# Create directory if it doesn't exist
+mkdir -p "$MODELS_DIR"
+
+echo "Models will be cached in: $MODELS_DIR"
+echo ""
+echo "Using Docker container to download models..."
+echo ""
+
+# Use L4T PyTorch container to download models
+docker run --rm -it \
+  -v "${MODELS_DIR}:/models" \
+  dustynv/l4t-pytorch:r36.2.0-pth2.1-py3 \
+  bash -c "
+    pip3 install -q diffusers transformers accelerate safetensors &&
+    python3 << 'PYEOF'
+from diffusers import StableDiffusionXLPipeline
+
+model_id = 'stabilityai/stable-diffusion-xl-base-1.0'
+cache_dir = '/models'
+
+print(f'Downloading {model_id}...')
+print(f'Cache directory: {cache_dir}')
+print('')
+
+try:
+    pipeline = StableDiffusionXLPipeline.from_pretrained(
+        model_id,
+        use_safetensors=True,
+        cache_dir=cache_dir
+    )
+    print('✅ SDXL model downloaded successfully!')
+except Exception as e:
+    print(f'❌ Error downloading model: {e}')
+    exit(1)
+PYEOF
+  "
+
+echo ""
+echo "✅ Model download complete!"
+echo ""
+echo "Models are cached in: $MODELS_DIR"
+echo "You can now build and run DreamTail"