> ## 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.

# PolyexponentialScheduler - ComfyUI Built-in Node Documentation

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

The PolyexponentialScheduler node is designed to generate a sequence of noise levels (sigmas) based on a polyexponential noise schedule. This schedule is a polynomial function in the logarithm of sigma, allowing for a flexible and customizable progression of noise levels throughout the diffusion process.

## Inputs

| Parameter   | Data Type | Description                                                                                                                                              |
| ----------- | --------- | -------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `steps`     | INT       | Specifies the number of steps in the diffusion process, affecting the granularity of the generated noise levels.                                         |
| `sigma_max` | FLOAT     | The maximum noise level, setting the upper bound of the noise schedule.                                                                                  |
| `sigma_min` | FLOAT     | The minimum noise level, setting the lower bound of the noise schedule.                                                                                  |
| `rho`       | FLOAT     | A parameter that controls the shape of the polyexponential noise schedule, influencing how noise levels progress between the minimum and maximum values. |

## Outputs

| Parameter | Data Type | Description                                                                                                 |
| --------- | --------- | ----------------------------------------------------------------------------------------------------------- |
| `sigmas`  | SIGMAS    | The output is a sequence of noise levels (sigmas) tailored to the specified polyexponential noise schedule. |