PinT algorithms for Diffusion Models

A review of researches that accelerate diffusion models in wall clock time by parallelization.

Overview

Diffusion models require heavy computation resource due to iterative sampling strategy. Due to their sequential sampling strategy, many accleration algorithms trade sample quality for efficiency. However, there are a group of researches which trade compute for time. In this post, I review two papers accelerating sampling in time, which are motivated from PinT (Parallel in Time) algorithms:

• Parallel Sampling of Diffusion Models
• Self-Refining Diffusion Samplers: Enabling Paralleization via Parareal Iterations

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