Learning Face Illustrations with a Pixel Space Flow Matching Model
Published:Dec 28, 2025 07:42
•1 min read
•Zenn DL
Analysis
The article describes the training of a 90M parameter JiT model capable of generating 256x256 face illustrations. The author highlights the selection of high-quality outputs and provides examples. The article also links to a more detailed explanation of the JiT model and the code repository used. The author cautions about potential breaking changes in the main branch of the code repository. This suggests a focus on practical experimentation and iterative development in the field of generative AI, specifically for image generation.
Key Takeaways
Reference
“Cherry-picked output examples. Generated from different prompts, 16 256x256 images, manually selected.”