TrigFlow is a new framework developed by OpenAI that significantly improves the efficiency of continuous-time generative models.

By using trigonometric flow matching and a unique score function parameterization, TrigFlow achieves comparable performance to leading diffusion models with just two sampling steps.

This framework's ability to maintain stability even with large step sizes and its impressive performance across different datasets, including image generation and inpainting, make it a major advancement in the field of generative AI.