Glossary

Diffusion Model

The class of generative AI that creates images by repeatedly de-noising random static.

A diffusion model is trained to reverse a noising process: start with pure random noise and, step by step, predict what to subtract to reveal the image described by your prompt. Stable Diffusion, Flux, DALL·E 3 and Midjourney all use this approach.

Diffusion replaced GANs as the dominant image-generation architecture around 2022 because it produces more diverse, higher-fidelity results from text.

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