Mask Or Image To Weight (MaskOrImageToWeight) - ComfyUI-KJNodes

The Mask Or Image To Weight node technically iterates through the input batch of images or masks, calculating the average of all pixel values for each element.

The Mask Or Image To Weight node is a tool for extracting the average values from a batch of images or masks. Its core function is to receive a batch of images or masks, calculate the average pixel value for each one, and output these values in a specified format. This node simplifies the process of obtaining quantitative statistical information from visual data.

Node Functionality

This node technically iterates through the input batch of images or masks, calculating the average of all pixel values for each element. It supports two optional input types: IMAGE and MASK. At least one input should be provided. The calculated list of average values can be converted into different formats such as a list, Pandas Series, or PyTorch tensor based on the output_type parameter.

Node Parameter Description - Mask Or Image To Weight

Connection Inputs (Inputs)

Parameter Name	Data Type	Required	Default Value	Value Range/Options	Description
`images`	IMAGE	No	-	-	images (Input Parameter): Input a batch of images. The node will calculate the average pixel value for each image.
`masks`	MASK	No	-	-	masks (Input Parameter): Input a batch of masks. The node will calculate the average pixel value for each mask.

Control Parameters (Parameters)

Parameter Name	Data Type	Required	Default Value	Value Range/Options	Description
`output_type`	COMBO	Yes	list	"list", "pandas series", "tensor", "string"	"list", "pandas series", "tensor", or "string".

Output

Parameter Name	Data Type	Description
FLOAT	FLOAT	FLOAT (Output Parameter): The average value data output in the specified format.
STRING	STRING	STRING (Output Parameter): The list of average values converted into a string, convenient for viewing or logging.

Usage Scenarios

This node is very useful in scenarios where workflow weights need to be dynamically adjusted based on image content. For example, in an image generation or processing pipeline, you can input a set of style reference images into this node, obtain their average brightness values, and then pass these values as weights to subsequent mixing or conditioning control nodes, thereby achieving automated parameter adjustment based on image features.

Notes

Please note that the node requires the pandas library to support the "pandas series" output format; selecting this format without the library installed will cause an error. Additionally, it is designed to accept only one type of input, either images or masks, and cannot use both simultaneously.

Mask Or Image To Weight Node Source Code Link

The Mask Or Image To Weight node is from the ComfyUI-KJNodes node package.

Mask Or Image To Weight(MaskOrImageToWeight)