What is diffusion model?

A diffusion model generates images, audio, or video by starting from random noise and iteratively denoising it toward a sample that matches a prompt. A diffusion model is trained to reverse a process that gradually adds noise to data. At generation time it starts from pure noise and removes it step by step, usually guided by a text embedding, until a coherent sample emerges. This is the technique behind most modern open image and video generators.