Few-Step Distillation Model

An image generation model that uses knowledge distillation to compress the multi-step sampling process of standard diffusion models into very few steps, typically one to eight. Representative examples include SDXL-Turbo and LCM. These models offer advantages in fast inference and low-cost deployment compared to their full-step counterparts.