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.
ComfyUI
Open-source, node-based interface for building and running image, video and audio generation workflows with diffusion models, designed to run locally.
Why this: Covers diffusion models and image generation too
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
OpenAI launches Images 2.6 with GIFs and image reference
TestingCatalog reports a rollout of OpenAI Images 2.6 in ChatGPT, Codex and the API, including GIF generation, reusable image references and editing features. The article describes the Flare and Sunburst API models and OpenAI's claims about speed and consistency.
Why this: Also about image generation
FLUX 3 Image Klein — Black Forest Labs Release
Official announcement of Black Forest Labs' 5.6B-parameter open-weights model for image generation, editing and multi-reference generation. The FLUX Kommunity License allows research and noncommercial use, plus commercial use below its revenue threshold; API access is paid. Performance comparisons are BFL's internal evaluations.
Why this: Also about image generation