PolyexponentialScheduler

Documentation

Class name: PolyexponentialScheduler
Category: sampling/custom_sampling/schedulers
Output node: False

The PolyexponentialScheduler node is designed to generate a sequence of noise levels (sigmas) based on a polyexponential noise schedule. This schedule is a polynomial function in the logarithm of sigma, allowing for a flexible and customizable progression of noise levels throughout the diffusion process.

Input types

Parameter	Comfy dtype	Description
`steps`	INT	Specifies the number of steps in the diffusion process, affecting the granularity of the generated noise levels.
`sigma_max`	FLOAT	The maximum noise level, setting the upper bound of the noise schedule.
`sigma_min`	FLOAT	The minimum noise level, setting the lower bound of the noise schedule.
`rho`	FLOAT	A parameter that controls the shape of the polyexponential noise schedule, influencing how noise levels progress between the minimum and maximum values.

Output types

Parameter	Comfy dtype	Description
`sigmas`	SIGMAS	The output is a sequence of noise levels (sigmas) tailored to the specified polyexponential noise schedule.