THE FUTURE IS HERE

Consistency Models from OpenAI – Optimizing Diffusion Models Inference

In this video we will introduce Consistency Models, a novel type of generative models introduced by Open AI in March 2023 with a potential to revolutionize the field of image generation.

Consistency models goal is to improve the efficiency of diffusion models, which is slow due to its iterative sampling process. This is a big deal since diffusion models are behind the top image generative models such as DALL-E 2, Imagen, Stable Diffusion and Midjourney.

In the video we’ll also describe the idea behind consistency models and provide an intuition for how they are being trained.

Blog post – https://aipapersacademy.com/consistency-models/

Research paper by Yang Song, Prafulla Dhariwal, Mark Chen and Ilya Sutskever – https://arxiv.org/abs/2303.01469

Consistency Models GitHub repository – https://github.com/openai/consistency_models

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Chapters:
0:00 Introduction
0:35 Why Should We Care?
1:43 What are Consistency Models?
3:23 Training Methods
4:14 Training Process Intuition