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Few-Step Sampling and the Function-Evaluation Budget

the number of denoiser calls is the cost of an image, and treating it as a budget rather than a constant is how current models became interactive

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Nested Diffusion Processes for Anytime Image Generation in PyTorch Using Stable Diffusion

Nested Diffusion redefines the conditional sampling step $P(x_{t-1}|x_t)$ within Denoising Diffusion Probabilistic Models (DDPM) by decomposing it into a two-stage procedure: first, deterministically…