stablecog  by stablecog

Web app for AI-generated art using Stable Diffusion

created 2 years ago
280 stars

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Project Summary

Stablecog is an open-source web application for generating AI art using Stable Diffusion and Kandinsky models. It targets users seeking a multilingual, user-friendly platform for image creation, offering a SvelteKit-based UI, Supabase for data and authentication, and support for multiple languages in generation, search, and the interface.

How It Works

The application leverages fine-tuned Stable Diffusion and Kandinsky models for image generation. It utilizes Supabase for backend services, including user data management and authentication. The architecture relies on a separate worker and a Go server for full functionality, indicating a distributed or microservice-based approach.

Quick Start & Requirements

  • Install dependencies: npm install
  • Run in development: npm run dev
  • Build for production: npm run build
  • Run in production: node ./build
  • Note: The README explicitly states that full system setup documentation is not yet available.

Highlighted Details

  • Supports multiple AI image generation models (Stable Diffusion, Kandinsky).
  • Multilingual capabilities for UI, generation, and search.
  • Built with SvelteKit for the frontend framework.
  • Uses Supabase for backend services (user data, auth).

Maintenance & Community

  • Significant hardware contribution (NVIDIA A40s) enabled 150K+ free image generations.
  • Community contributions for app translations into French, Korean, Spanish, Hindi, Russian, Traditional Chinese, Vietnamese, and German.

Licensing & Compatibility

  • The README does not explicitly state a license.

Limitations & Caveats

  • The README acknowledges that comprehensive documentation for setting up the entire system is missing, which may hinder full deployment and replication.
Health Check
Last commit

1 month ago

Responsiveness

1 day

Pull Requests (30d)
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Issues (30d)
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Star History
4 stars in the last 90 days

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