InvertMask

Documentation

Class name: InvertMask
Category: mask
Output node: False

The InvertMask node is designed to invert the values of a given mask, effectively flipping the masked and unmasked areas. This operation is fundamental in image processing tasks where the focus of interest needs to be switched between the foreground and the background.

Input types

Required

mask
- The 'mask' parameter represents the input mask to be inverted. It is crucial for determining the areas to be flipped in the inversion process.
- Comfy dtype: MASK
- Python dtype: torch.Tensor

Output types

mask
- Comfy dtype: MASK
- The output is an inverted version of the input mask, with previously masked areas becoming unmasked and vice versa.
- Python dtype: torch.Tensor

Usage tips

Infra type: CPU
Common nodes:

Source code

class InvertMask:
    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "mask": ("MASK",),
            }
        }

    CATEGORY = "mask"

    RETURN_TYPES = ("MASK",)

    FUNCTION = "invert"

    def invert(self, mask):
        out = 1.0 - mask
        return (out,)

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