VP Scheduler

Documentation

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

The VPScheduler node is designed to generate a sequence of noise levels (sigmas) based on the Variance Preserving (VP) scheduling method. This sequence is crucial for guiding the denoising process in diffusion models, allowing for controlled generation of images or other data types.

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.
`beta_d`	FLOAT	Determines the overall noise level distribution, influencing the variance of the generated noise levels.
`beta_min`	FLOAT	Sets the minimum boundary for the noise level, ensuring the noise does not fall below a certain threshold.
`eps_s`	FLOAT	Adjusts the starting epsilon value, fine-tuning the initial noise level in the diffusion process.

Output types

Parameter	Comfy dtype	Description
`sigmas`	SIGMAS	A sequence of noise levels (sigmas) generated based on the VP scheduling method, used to guide the denoising process in diffusion models.