What question did this study set out to answer?

The aim is to enhance the guided sampling speed and quality of diffusion probabilistic models (DPMs).

November 2, 2022Open Access

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

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Randomized trial demonstrates improved sampling speed and quality in diffusion models, suggesting enhanced image synthesis capabilities.

The aim is to enhance the guided sampling speed and quality of diffusion probabilistic models (DPMs).
Proposed DPM-Solver++ as a high-order solver for guided sampling.
Implemented thresholding methods to ensure alignment with training data distribution.
Introduced a multistep variant to mitigate instability by reducing effective step size.
DPM-Solver++ generates high-quality samples in only 15 to 20 steps for guided sampling.
Outperformed conventional DDIM which requires 100 to 250 steps.
Demonstrated effectiveness by maintaining sample quality while reducing sampling time.

Lu et al. (2022) studied this question.

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