> ## 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.

# LaplaceScheduler - ComfyUI Built-in Node Documentation

> The LaplaceScheduler node generates a sequence of sigma values following a Laplace distribution for use in diffusion sampling.

The LaplaceScheduler node generates a sequence of sigma values following a Laplace distribution for use in diffusion sampling. It creates a schedule of noise levels that gradually decrease from a maximum to minimum value, using Laplace distribution parameters to control the progression. This scheduler is commonly used in custom sampling workflows to define the noise schedule for diffusion models.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| - | - | - | - | - |
| `steps` | Number of sampling steps in the schedule (default: 20) | INT | Yes | 1 to 10000 |
| `sigma_max` | Maximum sigma value at the start of the schedule (default: 14.614642) | FLOAT | Yes | 0.0 to 5000.0 |
| `sigma_min` | Minimum sigma value at the end of the schedule (default: 0.0291675) | FLOAT | Yes | 0.0 to 5000.0 |
| `mu` | Mean parameter for the Laplace distribution (default: 0.0) | FLOAT | Yes | -10.0 to 10.0 |
| `beta` | Scale parameter for the Laplace distribution (default: 0.5) | FLOAT | Yes | 0.0 to 10.0 |

Note: `sigma_max`, `sigma_min`, `mu`, and `beta` are advanced parameters.

## Outputs

| Output Name | Description | Data Type |
| - | - | - |
| `SIGMAS` | A sequence of sigma values following a Laplace distribution schedule | SIGMAS |

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LaplaceScheduler/en.md)

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