[Tongyi-MAI Papers] D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models It seems like a way to solve the problem of lack of variety in "turbo" models. - Customization (LoRA): You can teach the model a specific new concept or style with just a few images and it remains just as fast as before. - Better Quality: It outperforms traditional fine-tuning methods by better balancing the new knowledge with the model's original ability to follow prompts and create high-quality visuals.