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audio, molecules, and more. This versatility comes from the model’s core mechanism of manipulating noise, a concept that can be applied to any data type represented digitally. Whether it’s pixels in an image, amplitudes in a sound wave, or atoms in a molecule, diffusion models can learn to generate