🌁 CR Half Drop Panel

Documentation

• Class name: CR Half Drop Panel
• Category: 🧩 Comfyroll Studio/👾 Graphics/🌁 Layout
• Output node: False

The CR Half Drop Panel node is designed to transform an input image into a patterned panel by applying half-drop, quarter-drop, or custom percentage drop techniques. This node enhances visual aesthetics by creating repetitive patterns that can be used in various design contexts.

Input types

Required

• image
  • The input image to be transformed into a patterned panel. This image serves as the base for creating the repetitive pattern.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor
• pattern
  • Specifies the type of pattern to apply to the input image, such as 'half drop', 'quarter drop', or a 'custom drop %', determining the arrangement of the repeated image segments.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: str

Optional

• drop_percentage
  • Used when 'pattern' is set to 'custom drop %', it defines the percentage by which the image is dropped, allowing for customizable pattern repetition.
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• image
  • Comfy dtype: IMAGE
  • The output image after applying the specified drop pattern, showcasing the transformed panel with the repetitive design.
  • Python dtype: torch.Tensor
• show_help
  • Comfy dtype: STRING
  • A URL to the documentation or help page for the CR Half Drop Panel node, providing additional information and guidance.
  • Python dtype: str

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class CR_HalfDropPanel:

    @classmethod
    def INPUT_TYPES(s):

        patterns = ["none", "half drop", "quarter drop", "custom drop %"]

        return {"required": {
                    "image": ("IMAGE",),
                    "pattern": (patterns,),
                },
                "optional": {
                    "drop_percentage": ("FLOAT", {"default": 0.50, "min": 0.00, "max": 1.00, "step": 0.01}),              
                }
    }

    RETURN_TYPES = ("IMAGE", "STRING", )
    RETURN_NAMES = ("image", "show_help", )
    FUNCTION = "make_panel"
    CATEGORY = icons.get("Comfyroll/Graphics/Layout")

    def make_panel(self, image, pattern, drop_percentage=0.5):

        show_help = "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki/Layout-Nodes#cr-half-drop-panel"

        if pattern == "none":
            return (image, show_help, )

        # Convert to PIL image
        pil_img = tensor2pil(image) 
        pil_img = pil_img.convert('RGBA')

        x, y = pil_img.size
        aspect_ratio = x / y
        d = int(drop_percentage * 100)

        panel_image = Image.new('RGBA', (x*2, y*2))

        if pattern == "half drop":
            panel_image.paste(pil_img, (0, 0))
            panel_image.paste(pil_img, (0, y))
            panel_image.paste(pil_img, (x, -y//2))
            panel_image.paste(pil_img, (x, y//2))
            panel_image.paste(pil_img, (x, 3*y//2))   
        elif pattern == "quarter drop":    
            panel_image.paste(pil_img, (0, 0))
            panel_image.paste(pil_img, (0, y))
            panel_image.paste(pil_img, (x, -3*y//4))
            panel_image.paste(pil_img, (x, y//4))
            panel_image.paste(pil_img, (x, 5*y//4))        
        elif pattern == "custom drop %":     
            panel_image.paste(pil_img, (0, 0))
            panel_image.paste(pil_img, (0, y))
            panel_image.paste(pil_img, (x, (d-100)*y//100))
            panel_image.paste(pil_img, (x, d*y//100))
            panel_image.paste(pil_img, (x, y + d*y//100))   

        image_out = pil2tensor(panel_image.convert('RGB'))

        return (image_out, show_help, )