Pixelwise(MASK - MASK)

Documentation

• Class name: SubtractMask
• Category: ImpactPack/Operation
• Output node: False

The SubtractMask node is designed for performing pixel-wise subtraction between two mask images, resulting in a new mask that highlights the differences. This operation is fundamental in image processing tasks where the goal is to isolate changes or differences between two images.

Input types

Required

• mask1
  • The first mask image to be subtracted from. It plays a crucial role in determining the base or reference for the subtraction operation.
  • Comfy dtype: MASK
  • Python dtype: torch.Tensor
• mask2
  • The second mask image to be subtracted. This mask is subtracted from the first one to highlight differences.
  • Comfy dtype: MASK
  • Python dtype: torch.Tensor

Output types

• mask
  • Comfy dtype: MASK
  • The resulting mask after subtracting mask2 from mask1, highlighting the differences between the two.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class SubtractMask:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {
                        "mask1": ("MASK", ),
                        "mask2": ("MASK", ),
                      }
                }

    RETURN_TYPES = ("MASK",)
    FUNCTION = "doit"

    CATEGORY = "ImpactPack/Operation"

    def doit(self, mask1, mask2):
        mask = subtract_masks(mask1, mask2)
        return (mask,)