Initial commit: RunPod multi-modal AI orchestration stack

- Multi-modal AI infrastructure for RunPod RTX 4090
- Automatic model orchestration (text, image, music)
- Text: vLLM + Qwen 2.5 7B Instruct
- Image: Flux.1 Schnell via OpenEDAI
- Music: MusicGen Medium via AudioCraft
- Cost-optimized sequential loading on single GPU
- Template preparation scripts for rapid deployment
- Comprehensive documentation (README, DEPLOYMENT, TEMPLATE)

musicgen/Dockerfile

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+FROM nvidia/cuda:12.1.0-cudnn8-runtime-ubuntu22.04
+
+WORKDIR /app
+
+# Install Python and system dependencies
+RUN apt-get update && apt-get install -y \
+    python3.10 \
+    python3-pip \
+    ffmpeg \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Upgrade pip
+RUN pip3 install --no-cache-dir --upgrade pip
+
+# Install PyTorch with CUDA support
+RUN pip3 install --no-cache-dir torch==2.1.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu121
+
+# Copy requirements and install dependencies
+COPY requirements.txt .
+RUN pip3 install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY server.py .
+
+# Create directory for model cache
+RUN mkdir -p /app/models
+
+# Environment variables
+ENV HF_HOME=/app/models
+ENV TORCH_HOME=/app/models
+ENV MODEL_NAME=facebook/musicgen-medium
+
+# Expose port
+EXPOSE 8000
+
+# Run the server
+CMD ["python3", "server.py"]