Diffusion models offer multiple ways to use training compute, improve inference-time quality, and accelerate sampling.

“possibilities for training compute for quality at inference time like even if you think about image diffusion models or video diffusion models there is a lot of techniques that you can use to kind of like accelerate sampling of distillation or like fancy differential equation solving techniques that allow you to sample very very quickly from these models and so there is a lot of research on the training on the inference and then engineering like just”