ImageFilterMax

Documentation

• Class name: ImageFilterMax
• Category: image/filter
• Output node: False

The ImageFilterMax node applies a maximum filter to images, enhancing the brightest areas and potentially useful for noise reduction or highlighting features.

Input types

Required

• images
  • Specifies the images to be processed, serving as the primary input for the filter operation.
  • Comfy dtype: IMAGE
  • Python dtype: List[torch.Tensor]
• size
  • Determines the size of the filter kernel, affecting the extent of the maximum filtering effect.
  • Comfy dtype: INT
  • Python dtype: int

Output types

• image
  • Comfy dtype: IMAGE
  • Produces the processed images after applying the maximum filter, highlighting the brightest areas.
  • Python dtype: List[torch.Tensor]

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class ImageFilterMax:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "images": ("IMAGE",),
                "size": ("INT", {
                    "default": 2,
                    "min": 0,
                    "step": 2
                }),
            },
        }

    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "node"
    CATEGORY = "image/filter"

    def node(self, images, size):
        return applyImageFilter(images, ImageFilter.MaxFilter(int(size) + 1))