SD Turbo Scheduler

Documentation

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

SDTurboScheduler is designed to generate a sequence of sigma values for image sampling, adjusting the sequence based on the denoise level and the number of steps specified. It leverages a specific model’s sampling capabilities to produce these sigma values, which are crucial for controlling the denoising process during image generation.

Input types

Parameter	Comfy dtype	Description
`model`	`MODEL`	The model parameter specifies the generative model to be used for sigma value generation. It is crucial for determining the specific sampling behavior and capabilities of the scheduler.
`steps`	`INT`	The steps parameter determines the length of the sigma sequence to be generated, directly influencing the granularity of the denoising process.
`denoise`	`FLOAT`	The denoise parameter adjusts the starting point of the sigma sequence, allowing for finer control over the denoising level applied during image generation.

Output types

Parameter	Comfy dtype	Description
`sigmas`	`SIGMAS`	A sequence of sigma values generated based on the specified model, steps, and denoise level. These values are essential for controlling the denoising process in image generation.