Katherine Crowson
Creator of the k-diffusion library and co-first author of VQGAN-CLIP
Katherine Crowson, whose GitHub profile reads "AI/generative artist", is the author of k-diffusion, an MIT-licensed PyTorch implementation of Karras et al.'s EDM diffusion framework with improved sampling algorithms and transformer-based diffusion models. Crowson is co-first author of "VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance" (2022), listed with an EleutherAI affiliation; the paper credits Crowson with originating the idea of combining VQGAN with CLIP and with heading the approach's development. Crowson is also first author of "Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers" (2024), and the k-diffusion README documents an hourglass diffusion transformer model type.123546
Work
k-diffusion (external site: github.com)Open-source code
Author of the k-diffusion repository, whose MIT License names Crowson as copyright holder; the README describes it as an implementation of "Elucidating the Design Space of Diffusion-Based Generative Models" with additional sampling algorithms and an hourglass diffusion transformer model type.236
VQGAN-CLIP (external site: arxiv.org)Published research
Co-first author with Stella Biderman; the paper's author contributions credit Crowson with originating the idea of combining VQGAN with CLIP and with heading the approach's development.45
Other documented roles
Roles the sources document but that are not confirmed as current.
- Listed with an EleutherAI affiliation as co-first author of the VQGAN-CLIP paper (2022), EleutherAI5
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