OptimalStepsScheduler - ComfyUI Built-in Node Documentation - ComfyUI

The OptimalStepsScheduler node creates a noise schedule (a sequence of sigma values) for use during diffusion sampling. It chooses the base noise levels from the selected model type, adjusts the schedule when denoising is partially applied, and interpolates the levels so the returned sigmas match the requested step count.

Inputs

Parameter	Description	Data Type	Required	Range
`model_type`	The type of diffusion model to use for the noise level calculation.	COMBO	Yes	”FLUX" "Wan" "Chroma”
`steps`	The total number of sampling steps to calculate (default: 20).	INT	Yes	3 to 1000
`denoise`	Controls the denoising strength, which adjusts the effective number of steps (default: 1.0).	FLOAT	Yes	0.0 to 1.0 (step: 0.01)

Note: When denoise is less than 1.0, the node uses round(steps * denoise) as the total number of effective steps. If denoise is 0.0, the node returns an empty tensor.

Outputs

Output Name	Description	Data Type
`sigmas`	A sequence of sigma values representing the noise schedule for diffusion sampling.	SIGMAS

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