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Iterating Consistency Models: Stability, Error Bounds and Noise Schedules

Spagnoletti, Alessio et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
Consistency models (CMs) have become a leading approach for generating high-quality samples in few steps. However, adding steps can improve or degrade sample quality in ways that are highly sensitive to the schedule and that existing theory does not fully explain. To provide accuracy guarantees and
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