rockeycoss/SPO-SDXL_4k-p_10ep_LoRA_webui

Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Arxiv Paper Github Code Project Page Abstract Generating visually appealing images is fundamental to modern text-to-image generation models. A potential solution to better aesthetics is direct preference optimization (DPO), which has been applied to diffusion models to improve general image quality including prompt alignment and aesthetics. Popular DPO methods propagate preference labels from clean image pairs to all the intermediate steps along the two generation trajectories. However, preference la

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