In various domains, Diffusion Models (DMs) have emerged as groundbreaking tools, offering an unparalleled blend of realism and diversity while ensuring stable training. However, their sequential denoising process poses significant challenges, being time-consuming and costly. In a new paper Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation, a Meta GenAI research team introduces an
