ComfyUI Node: Get Mask Size & Count

Get Mask Size & Count:

The GetMaskSizeAndCount node is designed to provide essential information about a given mask, including its width, height, and batch size, while passing the mask through unchanged. This node is particularly useful for AI artists who need to understand the dimensions and batch size of their masks for further processing or analysis. By extracting and returning these key attributes, the node helps streamline workflows and ensures that subsequent operations can be tailored to the specific characteristics of the mask.

Get Mask Size & Count Input Parameters:

mask

The mask parameter is the primary input for this node. It represents the mask or batch of masks whose dimensions and batch size you want to retrieve. The mask should be provided in a format that the node can process, typically as a tensor or array. This parameter is crucial as it directly influences the output values of width, height, and count.

Get Mask Size & Count Output Parameters:

mask

The mask output is the same mask that was input into the node. It is passed through unchanged, allowing you to use it in subsequent nodes or processes without any modifications.

width

The width output represents the width of the mask. This value is extracted from the mask's shape and indicates the number of columns in the mask.

height

The height output represents the height of the mask. This value is extracted from the mask's shape and indicates the number of rows in the mask.

count

The count output represents the batch size of the mask. This value is extracted from the mask's shape and indicates the number of individual masks in the batch.

Get Mask Size & Count Usage Tips:

• Use this node to quickly obtain the dimensions and batch size of your mask, which can be useful for debugging or preparing the mask for further processing.
• Combine this node with other nodes that require specific mask dimensions to ensure compatibility and optimize your workflow.

Get Mask Size & Count Common Errors and Solutions:

Invalid mask input

• Explanation: The input provided is not a valid mask or is in an incorrect format.
• Solution: Ensure that the mask input is a valid tensor or array that the node can process. Check the format and dimensions of the mask before inputting it into the node.

Mask shape mismatch

• Explanation: The mask does not have the expected shape or dimensions.
• Solution: Verify the shape of the mask to ensure it meets the expected format. The mask should have dimensions that the node can interpret to extract width, height, and batch size.