carllapierre / diffusion-canvas

A simple react app with a canvas to draw an image. Real time image-to-image inference using Stable Diffusion XL Turbo and Modal

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Demo

Diffusion Canvas

SDXL Turbo, and TripoSR, Modal powered realtime image to 3d generation via canvas drawings.

Local Developement

File structure

  • frontend - React frontend
  • turbo.py - Serverless FastAPI endpoint for served by Modal for SDXL Turbo
  • tripo.py - Serverless FastAPI endpoint for served by Modal for TripoSR

Requirements

  1. Install modal and set up locally
pip install modal
modal setup
  1. Have npm installed

Launch

Serve modal endpoints and save endpoints outputs for frontend .env

modal serve turbo.py
modal serve tripo.py

Copy the endpoints from the serve output. cd into the frontend directory and make a copy of .env example:

cp example.env .env

Setup endpoints from serve output in .env file and run the app.

npm install
npm run start

Note: The first request will always take a few seconds due to cold starts.

About

A simple react app with a canvas to draw an image. Real time image-to-image inference using Stable Diffusion XL Turbo and Modal


Languages

Language:JavaScript 56.9%Language:Python 31.5%Language:HTML 9.6%Language:CSS 2.0%