ImageSize

Documentation

• Class name: easy imageSize
• Category: EasyUse/Image
• Output node: True

The easy imageSize node is designed to calculate the dimensions of an image, returning the width and height as integers. This node simplifies the process of obtaining image size metrics, making it accessible for various image processing and analysis tasks.

Input types

Required

• image
  • The image parameter is the input image for which the dimensions are to be calculated. It plays a crucial role in the node's operation by providing the necessary data to determine the image's width and height.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Output types

• width_int
  • Comfy dtype: INT
  • The width of the input image in pixels, returned as an integer.
  • Python dtype: int
• height_int
  • Comfy dtype: INT
  • The height of the input image in pixels, returned as an integer.
  • Python dtype: int

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class imageSize:
  def __init__(self):
    pass

  @classmethod
  def INPUT_TYPES(cls):
    return {
      "required": {
        "image": ("IMAGE",),
      }
    }

  RETURN_TYPES = ("INT", "INT")
  RETURN_NAMES = ("width_int", "height_int")
  OUTPUT_NODE = True
  FUNCTION = "image_width_height"

  CATEGORY = "EasyUse/Image"

  def image_width_height(self, image):
    _, raw_H, raw_W, _ = image.shape

    width = raw_W
    height = raw_H

    if width is not None and height is not None:
      result = (width, height)
    else:
      result = (0, 0)
    return {"ui": {"text": "Width: "+str(width)+" , Height: "+str(height)}, "result": result}