Image Blank

Documentation

• Class name: Image Blank
• Category: WAS Suite/Image
• Output node: False

The WAS_Image_Blank node generates a blank image with specified dimensions and color. It allows for the creation of a simple, solid-colored image by defining its width, height, and RGB color values.

Input types

Required

• width
  • Specifies the width of the generated image.
  • Comfy dtype: INT
  • Python dtype: int
• height
  • Specifies the height of the generated image.
  • Comfy dtype: INT
  • Python dtype: int
• red
  • Determines the red component of the image's color, allowing for customization of the image's appearance.
  • Comfy dtype: INT
  • Python dtype: int
• green
  • Determines the green component of the image's color, contributing to the customization of the image's overall color.
  • Comfy dtype: INT
  • Python dtype: int
• blue
  • Determines the blue component of the image's color, finalizing the customization of the image's color.
  • Comfy dtype: INT
  • Python dtype: int

Output types

• image
  • Comfy dtype: IMAGE
  • The output is a blank image with the specified dimensions and color.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class WAS_Image_Blank:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "width": ("INT", {"default": 512, "min": 8, "max": 4096, "step": 1}),
                "height": ("INT", {"default": 512, "min": 8, "max": 4096, "step": 1}),
                "red": ("INT", {"default": 255, "min": 0, "max": 255, "step": 1}),
                "green": ("INT", {"default": 255, "min": 0, "max": 255, "step": 1}),
                "blue": ("INT", {"default": 255, "min": 0, "max": 255, "step": 1}),
            }
        }
    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "blank_image"

    CATEGORY = "WAS Suite/Image"

    def blank_image(self, width, height, red, green, blue):

        # Ensure multiples
        width = (width // 8) * 8
        height = (height // 8) * 8

        # Blend image
        blank = Image.new(mode="RGB", size=(width, height),
                          color=(red, green, blue))

        return (pil2tensor(blank), )