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AI & Machine Learning · Intermediate

Diffusion Model

A generative model that learns to create data by reversing a gradual noising process.

Definition

During training, noise is added to data over many steps and the model learns to predict and remove it. At generation time it starts from pure noise and iteratively denoises, guided by a text prompt or other conditioning. Diffusion powers Stable Diffusion, Imagen, DALL-E 3 and many video generators.

Example

Generating a product image from the prompt 'a red backpack on a mountain trail, studio lighting'.

Exam tip

Diffusion is the leading architecture for text-to-image; transformers lead for text.

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