Accelerated Diffusion Models: From Theory to Interactive World Models

Diffusion models have become a cornerstone of modern generative modeling, but their practical deployment in interactive applications is often limited by slow and computationally expensive sampling. This tutorial focuses on recent advances in accelerating diffusion models, providing a comprehensive overview of methods that enable fast and efficient generation. It covers general acceleration techniques, training-based approaches such as distillation into few-step samplers, and practical strategies for scaling to image and video generation. The tutorial further highlights how these advances enable emerging applications such as interactive world models and real-time generative systems, and provides hands-on guidance through the FastGen library.