Concept
Denoising steps
Denoising steps are the iterative passes a diffusion model runs to turn random noise into a coherent sample. A diffusion model is trained to predict and remove noise from a corrupted input; at inference you start from pure Gaussian noise and repeatedly apply the model, each…
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