Unlock the Secrets of Stable Diffusion 3: Mastering Diffusion Models with Rectified Flow

Training Stable Diffusion Models with Rectified Flow | PyTorch Tutorial

Generative models have witnessed significant advancements in recent years, with diffusion models leading the charge in generating high-fidelity data. The paper Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow introduces an innovative approach called Rectified Flow that simplifies and accelerates the training of generative models. This method is gaining traction and is being utilized in training the latest models like Stable Diffusion 3 (SD3).

Tutorial on Diffusion Models and Rectified Flow

In this blog post, we’ll delve into the key concepts of Rectified Flow, provide a step-by-step implementation using PyTorch, and demonstrate how this method offers a more efficient alternative to traditional diffusion models. If you’re interested in mastering diffusion models, don’t forget to check out our comprehensive course on diffusion models at the end of this post.