The speaker says diffusion models shift extra computation to one-time training rather than inference, making them cheaper for real-world generative use.

“However, this is a one-time training expense instead of an inference time expense, making this cheaper for real-world generative usage. Normalizing flows are models that treat density optimization as a reparameterization process.”