A class of generative AI, diffusion models learn by gradually adding noise to data, then reversing the process to create new, realistic samples. Used for image, audio, and video synthesis, they power tools like DALL-E and Stable Diffusion. Researchers, artists, and developers benefit from their ability to produce high-fidelity, diverse content.
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