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Image Resize by Shorter Side

Documentation

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

This node resizes an image by adjusting its shorter side to a specified size while maintaining the aspect ratio, using various interpolation methods for the resizing process.

Input types

Required

  • image
    • The image tensor to be resized. It's crucial for defining the visual content that will undergo resizing.
    • Comfy dtype: IMAGE
    • Python dtype: torch.Tensor
  • size
    • The target size for the shorter side of the image, ensuring the aspect ratio is preserved during resizing.
    • Comfy dtype: INT
    • Python dtype: int
  • interpolation_mode
    • Specifies the method used for interpolating the pixels in the resized image, affecting the visual quality of the output.
    • Comfy dtype: COMBO[STRING]
    • Python dtype: str

Output types

  • image
    • Comfy dtype: IMAGE
    • The resized image tensor, with its shorter side adjusted to the specified size while maintaining the original aspect ratio.
    • 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,)