🔧 Image Flip

Documentation

• Class name: ImageFlip+
• Category: essentials/image manipulation
• Output node: False

The ImageFlip node provides functionality for flipping images along specified axes. It supports flipping images horizontally, vertically, or both, allowing for versatile image manipulation and orientation adjustments.

Input types

Required

• image
  • The image to be flipped. This parameter is crucial for defining the visual content that will undergo the flipping transformation.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor
• axis
  • Specifies the axis or axes along which the image will be flipped. Accepting values 'x', 'y', or 'xy', it determines the direction of the flip, affecting the final appearance of the image.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: Tuple[str]

Output types

• image
  • Comfy dtype: IMAGE
  • The flipped image. This output represents the visual result of applying the specified flip transformation to the input image.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class ImageFlip:
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "image": ("IMAGE",),
                "axis": (["x", "y", "xy"],),
            }
        }

    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "execute"
    CATEGORY = "essentials/image manipulation"

    def execute(self, image, axis):
        dim = ()
        if "y" in axis:
            dim += (1,)
        if "x" in axis:
            dim += (2,)
        image = torch.flip(image, dim)

        return(image,)