streamdiffusion / README.md
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Deploy StreamDiffusion real-time visual engine
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metadata
title: StreamDiffusion Visual Engine
emoji: 🎨
colorFrom: purple
colorTo: indigo
sdk: docker
app_port: 7860
hardware: a10g-small
pinned: false

StreamDiffusion Real-Time Visual Engine

WebSocket server for real-time AI visual generation during immersive healing sessions.

Protocol

WebSocket endpoint: wss://<space-url>/ws

Client → Server (JSON):

{
  "prompt": "sacred geometry, ethereal light",
  "amplitude": 0.3,
  "beat": false,
  "phase": 1
}

Server → Client: Binary JPEG frame

Configuration

Env Var Default Description
MODEL_ID stabilityai/sd-turbo Diffusion model
TINY_VAE_ID madebyollin/taesd Fast VAE decoder
WIDTH 512 Output width
HEIGHT 512 Output height
NUM_STEPS 1 Inference steps (1 = fastest)
GUIDANCE_SCALE 0.0 CFG scale (0 for SD-Turbo)
JPEG_QUALITY 75 Output JPEG quality