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