SDTurboScheduler - ComfyUI Built-in Node Documentation

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.

Inputs

Parameter	Description	Data Type
`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.	`MODEL`
`steps`	The steps parameter determines the length of the sigma sequence to be generated, directly influencing the granularity of the denoising process.	`INT`
`denoise`	The denoise parameter adjusts the starting point of the sigma sequence, allowing for finer control over the denoising level applied during image generation.	`FLOAT`

Outputs

Parameter	Description	Data Type
`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.	`SIGMAS`

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