Image Resize by Factor

Documentation

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

This node resizes an image by a specified factor, allowing for flexible image scaling with various interpolation modes to maintain image quality.

Input types

Required

• image
  • The input image to be resized. This parameter is crucial as it provides the source image for the resizing operation.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor
• factor
  • Specifies the scaling factor for resizing the image. A factor greater than 1 enlarges the image, while a factor less than 1 shrinks it.
  • Comfy dtype: FLOAT
  • Python dtype: float
• interpolation_mode
  • Determines the method used for interpolating between pixel values during the resize operation, affecting the quality and appearance of the output image.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: str

Output types

• image
  • Comfy dtype: IMAGE
  • The resized image, scaled by the specified factor and using the chosen interpolation mode.
  • 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,)