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The BetaSamplingScheduler node generates a sequence of noise levels (sigmas) for the sampling process using a beta scheduling algorithm. It takes a model and configuration parameters to create a customized noise schedule that controls the denoising process during image generation. This scheduler allows fine-tuning of the noise reduction trajectory through alpha and beta parameters.

Inputs

ParameterDescriptionData TypeRequiredRange
modelThe model used for sampling, which provides the model sampling objectMODELYes-
stepsThe number of sampling steps to generate sigmas for (default: 20)INTYes1 to 10000
alphaAlpha parameter for the beta scheduler, controlling the scheduling curve (default: 0.6)FLOATYes0.0 to 50.0
betaBeta parameter for the beta scheduler, controlling the scheduling curve (default: 0.6)FLOATYes0.0 to 50.0

Outputs

Output NameDescriptionData Type
SIGMASA sequence of noise levels (sigmas) used for the sampling processSIGMAS
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