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)

vllm/Dockerfile

@@ -0,0 +1,34 @@
+FROM nvidia/cuda:12.4.0-runtime-ubuntu22.04
+
+WORKDIR /app
+
+# Install Python and system dependencies
+RUN apt-get update && apt-get install -y \
+    python3.11 \
+    python3-pip \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Upgrade pip
+RUN pip3 install --no-cache-dir --upgrade pip
+
+# Install vLLM and 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 /workspace/huggingface_cache
+
+# Environment variables
+ENV HF_HOME=/workspace/huggingface_cache
+ENV VLLM_HOST=0.0.0.0
+ENV VLLM_PORT=8000
+
+# Expose port
+EXPOSE 8000
+
+# Run the server
+CMD ["python3", "server.py"]