NormalizeImages - ComfyUI Built-in Node Documentation

This node normalizes the colors of an input image by adjusting its pixel values based on a specified mean and standard deviation. Each pixel has the mean subtracted from it and is then divided by the standard deviation, which is a common step to standardize image data before other processing.

Inputs

Parameter	Description	Data Type	Required	Range
`image`	The input image to be normalized.	IMAGE	Yes	-
`mean`	Mean value for normalization (default: 0.5).	FLOAT	No	0.0 - 1.0
`std`	Standard deviation for normalization (default: 0.5).	FLOAT	No	0.001 - 1.0

The mean and std parameters control the normalization applied to the input image. The default value for both parameters is 0.5. Note: If the input image has an alpha (transparency) channel, that channel is not normalized. It is copied unchanged to the output because alpha stores transparency rather than color. Note: The node works with any batch size, so multiple images can be processed at once.

Outputs

Output Name	Description	Data Type
`image`	The resulting image after the normalization process has been applied. Pixel values are adjusted using the specified mean and standard deviation, and the alpha channel (if present) is preserved.	IMAGE

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Inputs

Outputs