Image Scale Down By

Documentation

• Class name: easy imageScaleDownBy
• Category: EasyUse/Image
• Output node: False

The node is designed to scale down images by a specified factor, adjusting the dimensions of the image while maintaining its aspect ratio. It provides a straightforward way to reduce the resolution of images for various applications, such as optimizing for performance or adjusting for display sizes.

Input types

Required

• images
  • Specifies the images to be scaled down. This parameter is crucial for defining the input images that will undergo the scaling process.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor
• scale_by
  • Determines the factor by which the images will be scaled down. This parameter directly influences the output size of the images, allowing for precise control over the scaling process.
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• image
  • Comfy dtype: IMAGE
  • The scaled-down images, with dimensions adjusted according to the specified scale factor.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class imageScaleDownBy(imageScaleDown):
  @classmethod
  def INPUT_TYPES(s):
    return {
      "required": {
        "images": ("IMAGE",),
        "scale_by": (
          "FLOAT",
          {"default": 0.5, "min": 0.01, "max": 1.0, "step": 0.01},
        ),
      }
    }

  RETURN_TYPES = ("IMAGE",)
  CATEGORY = "EasyUse/Image"
  FUNCTION = "image_scale_down_by"

  def image_scale_down_by(self, images, scale_by):
    width = images.shape[2]
    height = images.shape[1]
    new_width = int(width * scale_by)
    new_height = int(height * scale_by)
    return self.image_scale_down(images, new_width, new_height, "center")