A Fireside Chat with the Creators of Public Diffusion

Public Diffusion is a foundation model designed for fine-tuning, trained only on public domain or CC0 images, and its creators say it is meant to let artists own the results of their fine-tunes. Jordan Meyer describes the model as similar to Stable Diffusion, and says its main hurdles are image quality, style transfer and concepts, with the dataset containing only about 10 corgis. Nick Padgett says the team added EXIF data such as lens, aperture and flash settings, along with medium tags, to give artists more control over outputs. A private beta has opened, with an open-weight release planned for next year.