LayerUtility: ColorImage

Documentation

• Class name: LayerUtility: ColorImage
• Category: 😺dzNodes/LayerUtility
• Output node: False

The ColorImage node generates a solid color image based on specified dimensions and color. It serves as a utility for creating background layers or color fills in image processing workflows.

Input types

Required

• width
  • Specifies the width of the generated image. It determines how wide the image will be.
  • Comfy dtype: INT
  • Python dtype: int
• height
  • Specifies the height of the generated image. It determines the height of the image.
  • Comfy dtype: INT
  • Python dtype: int
• color
  • Defines the color of the generated image. The color is specified in a string format, typically as a hex code.
  • Comfy dtype: STRING
  • Python dtype: str

Optional

Output types

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

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class ColorImage:

    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(self):

        return {
            "required": {
                "width": ("INT", {"default": 512, "min": 4, "max": 99999, "step": 1}),
                "height": ("INT", {"default": 512, "min": 4, "max": 99999, "step": 1}),
                "color": ("STRING", {"default": "#000000"},),
            },
            "optional": {
            }
        }

    RETURN_TYPES = ("IMAGE", )
    RETURN_NAMES = ("image", )
    FUNCTION = 'color_image'
    CATEGORY = '😺dzNodes/LayerUtility'

    def color_image(self, width, height, color, ):

        ret_image = Image.new('RGB', (width, height), color=color)
        return (pil2tensor(ret_image), )