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.