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)

.env.example

@@ -0,0 +1,24 @@
+# RunPod Multi-Modal AI Environment Configuration
+# Copy this file to .env and fill in your values
+
+# ============================================================================
+# HuggingFace Token (Required for model downloads)
+# ============================================================================
+# Get your token from: https://huggingface.co/settings/tokens
+# Required for downloading models: Qwen 2.5 7B, Flux.1 Schnell, MusicGen Medium
+HF_TOKEN=hf_your_token_here
+
+# ============================================================================
+# GPU Tailscale IP (Optional, for LiteLLM integration)
+# ============================================================================
+# If integrating with VPS LiteLLM proxy, set this to your GPU server's Tailscale IP
+# Get it with: tailscale ip -4
+# GPU_TAILSCALE_IP=100.100.108.13
+
+# ============================================================================
+# Notes
+# ============================================================================
+# - HF_TOKEN is the only required variable for basic operation
+# - Models will be cached in /workspace/ directories on RunPod
+# - Orchestrator automatically manages model switching
+# - No database credentials needed (stateless architecture)