ComfyUI Node: 🔧 Mask Expand Batch

🔧 Mask Expand Batch+:

The MaskExpandBatch+ node is designed to manipulate and expand mask images in a batch processing context. This node allows you to take a single mask and expand it to a specified size using different methods, making it highly versatile for various image processing tasks. Whether you need to duplicate the mask, repeat specific parts, or expand it uniformly, MaskExpandBatch+ provides the functionality to achieve these goals efficiently. This node is particularly useful for AI artists who need to apply consistent mask transformations across multiple images or layers, ensuring uniformity and saving time in the creative process.

🔧 Mask Expand Batch+ Input Parameters:

mask

The mask parameter is the input mask image that you want to expand. This mask serves as the base for the expansion process. It is essential that the mask is in the correct format, typically a binary or grayscale image where the mask regions are defined.

size

The size parameter determines the number of times the mask will be expanded. It is an integer value with a default of 16, a minimum of 1, and increments in steps of 1. This parameter controls the final size of the expanded mask batch, allowing you to specify how many copies or repetitions of the mask you need.

method

The method parameter specifies the technique used to expand the mask. It offers four options: "expand", "repeat all", "repeat first", and "repeat last". Each method provides a different approach to expanding the mask:

• "expand": Uniformly expands the mask to the specified size.
• "repeat all": Repeats the entire mask for the specified number of times.
• "repeat first": Repeats only the first part of the mask.
• "repeat last": Repeats only the last part of the mask. This flexibility allows you to choose the most suitable method for your specific use case.

🔧 Mask Expand Batch+ Output Parameters:

MASK

The output parameter MASK is the expanded mask batch resulting from the specified input parameters. This output is a tensor containing the expanded masks, formatted according to the chosen method and size. The expanded masks can then be used in subsequent image processing or AI tasks, providing a consistent and uniform set of masks for further manipulation.

🔧 Mask Expand Batch+ Usage Tips:

• To ensure uniform expansion of your mask, use the "expand" method, which will evenly distribute the mask across the specified size.
• If you need to duplicate the entire mask multiple times, the "repeat all" method is ideal.
• For tasks requiring the repetition of only the initial or final parts of the mask, use the "repeat first" or "repeat last" methods, respectively.
• Adjust the size parameter based on the number of masks you need, keeping in mind the default value of 16 and the minimum value of 1.

🔧 Mask Expand Batch+ Common Errors and Solutions:

"Input mask dimensions do not match"

• Explanation: This error occurs when the dimensions of the input mask do not match the expected format or size.
• Solution: Ensure that the input mask is correctly formatted and that its dimensions are compatible with the node's requirements. You may need to preprocess the mask to match the expected dimensions.

"Invalid method selected"

• Explanation: This error occurs when an invalid method is selected for the method parameter.
• Solution: Verify that the method selected is one of the valid options: "expand", "repeat all", "repeat first", or "repeat last". Correct the method parameter to one of these options.

"Size parameter out of range"

• Explanation: This error occurs when the size parameter is set to a value outside the allowed range.
• Solution: Ensure that the size parameter is within the valid range, with a minimum of 1. Adjust the size parameter to a valid value within the specified range.