ComfyUI Node: Fill Dark Mask

Fill Dark Mask:

The FillDarkMask node is designed to process a series of mask images and ensure that any completely black (dark) masks are replaced with the preceding mask in the sequence. This functionality is particularly useful in scenarios where you have a sequence of masks and want to maintain continuity by avoiding any interruptions caused by entirely black masks. By filling these dark masks with the previous mask, the node helps maintain a consistent flow in the mask sequence, which can be crucial for various image processing and AI art tasks. This node operates seamlessly, ensuring that your mask sequences remain intact and visually coherent.

Fill Dark Mask Input Parameters:

masks

The masks parameter is a required input that accepts a sequence of mask images. Each mask in the sequence is evaluated, and if a mask is found to be completely black (i.e., all pixel values are zero), it is replaced with the previous mask in the sequence. This parameter ensures that the continuity of the mask sequence is maintained by filling any dark masks with the preceding mask. The input should be a tensor of masks, where each mask is typically a 2D array representing the mask image.

Fill Dark Mask Output Parameters:

MASK

The output parameter MASK is a tensor containing the modified sequence of masks. In this sequence, any completely black masks have been replaced with the preceding mask, ensuring continuity and consistency. This output is crucial for maintaining the integrity of the mask sequence, especially in applications where interruptions caused by dark masks can affect the overall result.

Fill Dark Mask Usage Tips:

• Ensure that the input sequence of masks is correctly formatted as a tensor, with each mask being a 2D array.
• Use this node when you need to maintain continuity in a sequence of masks, especially in scenarios where completely black masks can disrupt the flow.
• This node is particularly useful in image processing pipelines where mask consistency is crucial for achieving the desired visual effects.

Fill Dark Mask Common Errors and Solutions:

TypeError: Expected input to be a tensor

• Explanation: This error occurs when the input provided to the masks parameter is not a tensor.
• Solution: Ensure that the input is a tensor of masks, with each mask being a 2D array.

ValueError: Input tensor must have at least one mask

• Explanation: This error occurs when the input tensor is empty or does not contain any masks.
• Solution: Provide a tensor with at least one mask in the sequence.

RuntimeError: Inconsistent mask dimensions

• Explanation: This error occurs when the masks in the input tensor have different dimensions.
• Solution: Ensure that all masks in the input tensor have the same dimensions before passing them to the node.