> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# SDTurboScheduler - ComfyUI Built-in Node Documentation

> Complete documentation for the SDTurboScheduler node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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 | Data Type | 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.                              |

## Outputs

| Parameter | Data Type | 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. |