Benjamin J Biggs*

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

"We present Diffusion Soup, a compartmentalization method for Text-to-Image Generation that averages the weights of diffusion models trained on sharded data. By construction, our approach enables training-free continual learning and unlearning with no additional memory or inference costs, since mode…