Ajay Jain
Co-author of the paper that made diffusion models work in practice
A researcher and co-author of “Denoising Diffusion Probabilistic Models” (2020), the paper in Pieter Abbeel’s Berkeley group that turned diffusion into the method behind modern image generation.
In the library
Nothing of theirs is filed in the hub yet. Browse the full library.
Recommended next
Hand-picked from the hub based on what Ajay Jain covers.
ElevenLabs Seedream 4.5 Image Generation
ElevenLabs' hosted access to the Seedream 4.5 image model, with a free tier for trying image generation for slides, social posts and simple brand assets.
Why this: Also about image generation
Venice AI — private, uncensored AI chat and image generation
An AI chat and image tool built on open-source models that keeps conversation history in your own browser rather than on its servers, and offers a choice of privacy modes including trusted execution environment and end-to-end encrypted options. It also applies no content filtering, which it calls uncensored. The free tier is real but small: base models only, 10 text prompts and 15 image prompts a day. Paid plans start at $18 a month.
Why this: Also about image generation