ComfyUI Node: 🔧 Mask Batch

🔧 Mask Batch+:

MaskBatch+ is a powerful node designed to combine two mask images into a single batch, facilitating more complex image processing tasks. This node is particularly useful when you need to handle multiple masks simultaneously, allowing for efficient batch processing. By merging two masks, MaskBatch+ ensures that they are compatible in terms of dimensions, automatically adjusting the second mask if necessary. This capability is essential for maintaining consistency and accuracy in your image processing workflows, especially when dealing with varying mask sizes. The node leverages advanced upscaling techniques to ensure that the combined masks are seamlessly integrated, providing a robust solution for batch mask operations.

🔧 Mask Batch+ Input Parameters:

mask1

mask1 is the first mask image that you want to include in the batch. This parameter is essential as it serves as the reference mask for the batch operation. The dimensions of mask1 are used to ensure that mask2 is compatible, making it a crucial input for the node's functionality.

mask2

mask2 is the second mask image that you want to combine with mask1 in the batch. If the dimensions of mask2 do not match those of mask1, the node will automatically upscale mask2 to ensure compatibility. This parameter allows you to include an additional mask in the batch, expanding the scope of your image processing tasks.

🔧 Mask Batch+ Output Parameters:

MASK

The output parameter MASK is the combined batch of the two input masks. This output is a single tensor that contains both mask1 and mask2, stacked along the batch dimension. The combined mask batch is ready for further processing, enabling more complex and efficient image manipulation workflows.

🔧 Mask Batch+ Usage Tips:

• Ensure that mask1 and mask2 are relevant to the same image processing task to make the most out of the batch operation.
• Use high-quality masks to avoid artifacts during the upscaling process of mask2.
• Leverage the combined mask batch for tasks that require simultaneous processing of multiple masks, such as segmentation or object detection.

🔧 Mask Batch+ Common Errors and Solutions:

"Dimension mismatch between mask1 and mask2"

• Explanation: This error occurs when the dimensions of mask1 and mask2 are not compatible, and the node is unable to upscale mask2 to match mask1.
• Solution: Ensure that mask2 can be upscaled to match the dimensions of mask1. If necessary, manually resize mask2 before inputting it into the node.

"Invalid mask input"

• Explanation: This error occurs when the input provided for mask1 or mask2 is not a valid mask image.
• Solution: Verify that both mask1 and mask2 are valid mask images and are correctly formatted before inputting them into the node.