Ukiyo-e Portrait Diffusion (by avantcontra), is a custom-trained unconditional diffusion model trained on a dataset of 5,000+ 256x256 Ukiyo-e portraits using the fine-tuning openai diffusion model notebook by Alex Spirin.
Ukiyo-e Portrait Diffusion is inspired by Pixel Art Diffusion of KaliYuga.
This sample forked from Disco Diffusion 5.6.
Added "ukiyoe_portrait_diffusion_256" in Models Settings.
https://github.com/avantcontra/ukiyoe-portrait-diffusion/
("Floating Punk" by avantcontra.)
https://www.justinpinkney.com/ukiyoe-dataset/
image size: 256x256
- Select "ukiyoe_portrait_diffusion_256" of "diffusion_model" in Models Settings.
- Then use DD as usual. The best image size maybe 256x256 cause of the dataset.