Unverified50% confidenceCautionExact time
When the number of steps drops sharply to 4, the denoising span required per step increases significantly, forcing the model to make bolder predictions in a single step, which can easily lead to loss of high-frequency detail and incoherent motion trajectories.
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9/6/2026
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Related Claims
UnverifiedStandard generation with diffusion models may require 50–100 denoising iterations, while consistency models or progressive distillation techniques can reduce the number of steps to 4–879% similarUnverifiedThe iterative denoising process of diffusion models is sensitive to numerical errors; small errors at each step accumulate and affect the final image, and the more sampling steps there are, the greater the impact of quantization errors.78% similarUnverifiedThe number of iterative denoising steps is a tunable hyperparameter; more steps generally yield higher generation quality but take longer, while fewer steps are faster, providing a quality-efficiency trade-off.75% similarUnverifiedInference in diffusion models is an iterative denoising process that typically requires dozens or even hundreds of timesteps and is particularly sensitive to numerical errors.74% similarUnverified扩散模型步数越多理论上结果越精细，但耗时也成比例增长，20步是速度与质量的经典平衡点73% similar
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