The GitHub repository diffusion-self-distillation by primecai presents a groundbreaking approach in the field of image generation, specifically focusing on zero-shot customized image generation. This project is an official implementation of the paper “Diffusion Self-Distillation for Zero-Shot Customized Image Generation” intended for presentation at CVPR 2025. The repository, though currently under construction, promises significant advancements in subject-preserving generation and relighting models.

Overview of Key Features

At its core, this project leverages a pre-trained text-to-image diffusion model to generate its own dataset for text-conditioned image-to-image tasks, thereby overcoming the limitation of insufficient high-quality paired data. The method, termed Diffusion Self-Distillation, involves several key steps: