Paper Discussion: Consistency Models

This research paper from OpenAI introduces consistency models, a new approach to generative models aimed at solving a key drawback of diffusion models: the slow generation speed due to their iterative sampling process. The consistency model directly maps noise to data in one or a few steps, bypassing the slow iterative process of diffusion models. It is designed to support fast, one-step generation but also allow multistep sampling to balance computation time and sample quality when needed.

On top of this method, OpenAI's new method can do two step sample diffusion model with competitive output for image generation. It takes 0.11s on A100 to generate one image.

paper link for consistency model: https://arxiv.org/abs/2303.01469
openAI latest work: https://openai.com/index/simplifying-stabilizing-and-scaling-continuous-time-consistency-models/