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/build.sh

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+#!/bin/bash
+# Build DreamTail Docker image for Jetson AGX Orin
+set -e
+
+echo "🎨 Building DreamTail Docker image..."
+
+cd "$(dirname "$0")/.."
+
+# Build for ARM64 (Jetson architecture)
+docker build \
+  --platform linux/arm64 \
+  -t dreamtail:latest \
+  -f Dockerfile \
+  .
+
+echo "✅ Build complete!"
+echo ""
+echo "To run DreamTail:"
+echo "  ./scripts/run.sh"

scripts/download-models.sh

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+#!/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"

scripts/run.sh

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+#!/bin/bash
+# Run DreamTail on Jetson AGX Orin
+set -e
+
+echo "🎨 Starting DreamTail..."
+
+# Configuration
+CONTAINER_NAME="dreamtail"
+PORT=8765
+MODELS_DIR="/mnt/nvme/models"  # Models on NVMe
+STORAGE_DIR="/mnt/nvme/dreamtail"  # DreamTail storage on NVMe
+
+# Create storage directory if it doesn't exist
+mkdir -p "$STORAGE_DIR"
+
+# Stop existing container if running
+if docker ps -a --format '{{.Names}}' | grep -q "^${CONTAINER_NAME}$"; then
+    echo "Stopping existing DreamTail container..."
+    docker stop "$CONTAINER_NAME" 2>/dev/null || true
+    docker rm "$CONTAINER_NAME" 2>/dev/null || true
+fi
+
+# Run container
+echo "Starting DreamTail container..."
+docker run -d \
+  --name "$CONTAINER_NAME" \
+  --runtime=nvidia \
+  --restart unless-stopped \
+  -p ${PORT}:8765 \
+  -v "${MODELS_DIR}:/app/models" \
+  -v "${STORAGE_DIR}:/app/storage" \
+  -e DREAMTAIL_STORAGE=/app/storage \
+  -e DREAMTAIL_MODELS=/app/models \
+  -e LOG_LEVEL=INFO \
+  dreamtail:latest
+
+echo "✅ DreamTail started!"
+echo ""
+echo "API available at: http://bigorin:${PORT}"
+echo ""
+echo "To check logs:"
+echo "  docker logs -f ${CONTAINER_NAME}"
+echo ""
+echo "To stop:"
+echo "  docker stop ${CONTAINER_NAME}"