> ## 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.

# ImageQuantize - ComfyUI Built-in Node Documentation

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

The ImageQuantize node is designed to reduce the number of colors in an image to a specified number, optionally applying dithering techniques to maintain visual quality. This process is useful for creating palette-based images or reducing the color complexity for certain applications.

## Inputs

| Field    | Data Type      | Description                                                                                                                                   |
| -------- | -------------- | --------------------------------------------------------------------------------------------------------------------------------------------- |
| `image`  | `IMAGE`        | The input image tensor to be quantized. It affects the node's execution by being the primary data upon which color reduction is performed.    |
| `colors` | `INT`          | Specifies the number of colors to reduce the image to. It directly influences the quantization process by determining the color palette size. |
| `dither` | COMBO\[STRING] | Determines the dithering technique to be applied during quantization, affecting the visual quality and appearance of the output image.        |

## Outputs

| Field   | Data Type | Description                                                                                                                 |
| ------- | --------- | --------------------------------------------------------------------------------------------------------------------------- |
| `image` | `IMAGE`   | The quantized version of the input image, with reduced color complexity and optionally dithered to maintain visual quality. |