Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Figure 1 . Given an input image, Diffusion Self-Distillation is a novel diffusion-based approach that generates diverse images that maintain the input's identity across various contexts. Unlike prior approaches that require fine-tuning or are limited to specific domains, Diffusion Self-Distillation offers instant customization without any additional inference-stage training, enabling precise control and editability in text-to-image diffusion models. This ability makes Diffusion Self-Distillation a valuable tool for general AI content creation.