Stable Diffusion playground that makes you bring the backend

What it does This project is a web interface for generating images from text prompts using Stable Diffusion V2. It ships a static frontend hosted on GitHub Pages, but the actual inference engine runs on a backend you provide—either locally on a GPU machine, via Docker Compose, or through a Google Colab notebook. It began life as a wrapper around DALL-E Mini before pivoting to Stable Diffusion in late 2022.

The interesting bit The split architecture is the whole trick: the author hosts the pretty part, while you shoulder the compute. That keeps the barrier to UI tinkering low, provided you already have access to a CUDA-capable box or are willing to wrestle with Colab’s free-tier timeouts.

Key highlights

• Frontend is pre-deployed; you only need to spin up the Python backend.
• Supports local development, Docker Compose, and Google Colab backends.
• Originally built around DALL-E Mini, then migrated to Stable Diffusion V2 for easier implementation.
• Model weights and dependencies are cached after the first run.

Caveats

• Free-tier Google Colab is practically limited to ~2 images before generation times exceed the frontend timeout.
• WSL2 support is rough: you may need to compile JAX from source just to get GPU detection working.
• The README and repository still carry the old “DALL-E Playground” branding despite the shift to Stable Diffusion.

Verdict Worth a look if you want a ready-made web UI for self-hosted Stable Diffusion and don’t mind managing the inference stack yourself. If you need a fully managed or turnkey image generator, this is not it.