Mask Invert¶

Documentation¶

Class name: Mask Invert
Category: WAS Suite/Image/Masking
Output node: False

The Mask Invert node is designed to invert the values of a given mask, effectively flipping the masked and unmasked regions. This operation is commonly used in image processing and computer vision tasks to reverse the areas of interest in a mask.

Input types¶

Required¶

masks
- The input mask to be inverted. This mask serves as the primary data for inversion, determining the areas that will be flipped in the output.
- Comfy dtype: MASK
- Python dtype: torch.Tensor

Output types¶

MASKS
- Comfy dtype: MASK
- The inverted mask, where the originally masked regions are now unmasked and vice versa, suitable for further processing or visualization.
- Python dtype: torch.Tensor

Usage tips¶

Infra type: CPU
Common nodes: unknown

Source code¶

class WAS_Mask_Invert:

    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
                    "required": {
                        "masks": ("MASK",),
                    }
                }

    CATEGORY = "WAS Suite/Image/Masking"

    RETURN_TYPES = ("MASK",)
    RETURN_NAMES = ("MASKS",)

    FUNCTION = "add_masks"

    def add_masks(self, masks):
        return (1. - masks,)