Image Resize To Width

Documentation

• Class name: Image Resize To Width
• Category: Hakkun
• Output node: False

The node is designed to resize an image to a specific width while maintaining its aspect ratio, using a specified upscale method to ensure quality preservation.

Input types

Required

• image
  • The image to be resized. This parameter is crucial as it provides the source image that will undergo resizing to match the target width.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor
• target_width
  • The target width to which the image will be resized. This parameter determines the scale of the resizing operation and directly affects the output image's dimensions.
  • Comfy dtype: INT
  • Python dtype: int

Output types

• image
  • Comfy dtype: IMAGE
  • The resized image with the specified target width, maintaining the original aspect ratio.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class ImageResizeToWidth:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "image": (IMAGE_TYPE,),
                "target_width": (INT_TYPE, {"default": 1920, "min": 1, "step": 1}),
            }
        }

    RETURN_TYPES = (IMAGE_TYPE,)
    RETURN_NAMES = ("image",)
    FUNCTION = "calculate"

    CATEGORY = "Hakkun"

    def calculate(self, image, target_width):
        image_size = image.size()
        img_width = int(image_size[2])
        scale_by = target_width/img_width
        return upscale(image, 'lanczos', scale_by)