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Diffusion Model

A generative model that creates images by starting from noise and progressively removing it.

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Diffusion models learn to reverse a process that adds noise to images. At generation time they begin with random noise and denoise it step by step, guided by a text prompt, until an image appears. The same idea extends to video and audio. This approach underpins most modern text-to-image tools.

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