CopyMakeBorder

Documentation

• Class name: CopyMakeBorder
• Category: Bmad/CV/Misc
• Output node: False

The CopyMakeBorder node is designed to add a border around an image. It allows for the customization of the border size and type, excluding transparent borders, to enhance or modify the visual appearance of the image.

Input types

Required

• image
  • The input image to which the border will be added. This is the primary data upon which the border operation is performed.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor
• border_size
  • Specifies the size of the border to be added around the image. It affects the thickness of the border applied.
  • Comfy dtype: INT
  • Python dtype: int
• border_type
  • Determines the type of border to be applied to the image, excluding transparent types. This choice influences the visual style of the border.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: str

Output types

• image
  • Comfy dtype: IMAGE
  • The output image with the added border. This is the result of applying the specified border size and type to the input image.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class CopyMakeBorderSimple:
    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "image": ("IMAGE",),
                "border_size": ("INT", {"default": 64}),
                "border_type": (border_types_excluding_transparent, border_types[0])
            }}

    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "make_border"
    CATEGORY = f"{cv_category_path}/Misc"

    def make_border(self, image, border_size, border_type):
        image = tensor2opencv(image, 0)
        image = cv.copyMakeBorder(image, border_size, border_size, border_size, border_size,
                                  border_types_map[border_type])
        image = opencv2tensor(image)
        return (image,)