neelr/favicon-diffusion

run diffusion models in the browser! webgpu hippo diffusion kernels in >2k lines of vanilla js

27
/ 100
Experimental

This project allows developers to integrate high-performance image generation, specifically diffusion models, directly into web applications. It takes a text prompt or other input (from a developer's perspective) and generates an image within the browser, even a website's favicon, very quickly. Web developers focused on advanced browser-based applications and real-time AI experiences would use this.

Use this if you are a web developer who needs to run fast, on-device AI image generation models directly within a web browser without complex server-side infrastructure.

Not ideal if you are looking for a ready-to-use end-user tool for image generation; this is a foundational component for developers to build with.

web-development browser-ai real-time-graphics machine-learning-engineering frontend-performance
No Package No Dependents
Maintenance 6 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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Stars

9

Forks

Language

Jupyter Notebook

License

MIT

Last pushed

Jan 04, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/neelr/favicon-diffusion"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.