Image Flip

Documentation

• Class name: JWImageFlip
• Category: jamesWalker55
• Output node: False

The JWImageFlip node is designed to flip images either horizontally or vertically based on the specified direction. This operation is fundamental in image processing tasks where orientation adjustments are necessary.

Input types

Required

• image
  • The image tensor to be flipped. This parameter is crucial as it directly influences the output by determining which image is subjected to the flipping operation.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor
• direction
  • Specifies the direction of the flip, either 'horizontal' or 'vertical'. This parameter dictates how the image will be manipulated, affecting the final orientation of the output image.
  • Comfy dtype: ['horizontal', 'vertical']
  • Python dtype: str

Output types

• image
  • Comfy dtype: IMAGE
  • The flipped image tensor. This output is the direct result of applying the specified flip operation on the input image.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

@register_node("JWImageLoadRGB", "Image Load RGB")
class _:
    CATEGORY = "jamesWalker55"
    INPUT_TYPES = lambda: {
        "required": {
            "path": ("STRING", {"default": "./image.png"}),
        }
    }
    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "execute"

    def execute(self, path: str):
        assert isinstance(path, str)

        img = load_image(path)
        return (img,)