ComfyUI Node: Select Every Nth Mask 🎥🅥🅗🅢

Select Every Nth Mask 🎥🅥🅗🅢:

The VHS_SelectEveryNthMask node is designed to streamline the process of selecting specific masks from a batch by allowing you to pick every nth mask, starting from a specified position. This node is particularly useful when working with large sets of masks and you need to sample them at regular intervals for further processing or analysis. By automating the selection process, it saves time and ensures consistency, making it an essential tool for AI artists dealing with batch mask operations.

Select Every Nth Mask 🎥🅥🅗🅢 Input Parameters:

mask

This parameter represents the batch of masks from which you want to select every nth mask. The masks should be in a tensor format, and this input serves as the primary data source for the node's operation.

select_every_nth

This integer parameter determines the interval at which masks are selected from the batch. For example, if set to 2, every second mask will be selected. The default value is 1, meaning every mask is selected. The minimum value is 1, and there is no specified maximum value, but it should be a positive integer.

skip_first_masks

This integer parameter specifies the number of initial masks to skip before starting the selection process. For instance, if set to 3, the first three masks in the batch will be ignored, and the selection will start from the fourth mask. The default value is 0, meaning no masks are skipped. The minimum value is 0, and there is no specified maximum value, but it should be a non-negative integer.

Select Every Nth Mask 🎥🅥🅗🅢 Output Parameters:

MASK

This output parameter provides the batch of masks that have been selected based on the specified interval and skip parameters. It is a tensor containing the subset of masks that meet the selection criteria.

count

This integer output indicates the number of masks that were selected and included in the output batch. It helps you understand the size of the resulting mask set after the selection process.

Select Every Nth Mask 🎥🅥🅗🅢 Usage Tips:

• To efficiently sample masks from a large batch, set the select_every_nth parameter to a higher value, which will reduce the number of masks and make subsequent processing faster.
• Use the skip_first_masks parameter to exclude any initial masks that may not be relevant to your analysis or processing, ensuring that only the desired masks are selected.

Select Every Nth Mask 🎥🅥🅗🅢 Common Errors and Solutions:

"IndexError: index out of range"

• Explanation: This error occurs when the skip_first_masks parameter is set to a value greater than the total number of masks in the batch.
• Solution: Ensure that the skip_first_masks value is less than the total number of masks in the batch.

"TypeError: expected Tensor as input"

• Explanation: This error occurs when the input provided for the mask parameter is not in the expected tensor format.
• Solution: Verify that the input for the mask parameter is a tensor and correctly formatted.

"ValueError: select_every_nth must be a positive integer"

• Explanation: This error occurs when the select_every_nth parameter is set to a non-positive integer.
• Solution: Ensure that the select_every_nth parameter is set to a positive integer value.