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.

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

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

---

Source fingerprint (SHA-256): 30c0587265754842ff7d1e5f339fc934b58d59bb3ba18716c2a1f9679f2d561d