📱 CR Seamless Checker

Documentation

• Class name: CR Seamless Checker
• Category: 🧩 Comfyroll Studio/👾 Graphics/📱 Template
• Output node: True

The CR Seamless Checker node is designed to evaluate and ensure the seamless integration of various components within a system, focusing on compatibility and smooth operation across different modules or elements. It aims to identify and address potential discrepancies or conflicts that might disrupt the seamless functionality of the system.

Input types

Required

• image
  • The 'image' input represents the visual content to be checked for seamless integration, playing a crucial role in the evaluation process.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor
• rescale_factor
  • The 'rescale_factor' input determines the scaling factor to be applied to the image, affecting the node's execution and results.
  • Comfy dtype: FLOAT
  • Python dtype: float
• grid_options
  • The 'grid_options' input specifies the configuration for grid generation, influencing the seamless checker's operation.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: Dict[str, Union[int, str]]

Output types

• show_help
  • Comfy dtype: STRING
  • The 'show_help' output provides guidance or suggestions based on the seamless integration evaluation of the image.
  • Python dtype: str

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class CR_SeamlessChecker:

    @classmethod
    def INPUT_TYPES(s):

        return {"required":
                    {"image": ("IMAGE",),
                     "rescale_factor": ("FLOAT", {"default": 0.25, "min": 0.10, "max": 1.00, "step": 0.01}),
                     "grid_options": (["2x2", "3x3", "4x4", "5x5", "6x6"],), 
                     }
                }           

    RETURN_TYPES = ("STRING", )
    RETURN_NAMES = ("show_help", )
    OUTPUT_NODE = True    
    FUNCTION = "thumbnail"
    CATEGORY = icons.get("Comfyroll/Graphics/Template")

    def thumbnail(self, image, rescale_factor, grid_options):

        show_help = "https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki/Other-Nodes#cr-seamless-checker"

        outline_thickness = 0

        pil_img = tensor2pil(image)
        original_width, original_height = pil_img.size        
        rescaled_img = apply_resize_image(tensor2pil(image), original_width, original_height, 8, "rescale", "false", rescale_factor, 256, "lanczos")
        outlined_img = ImageOps.expand(rescaled_img, outline_thickness, fill="black")

        max_columns = int(grid_options[0])
        repeat_images = [outlined_img] * max_columns ** 2

        combined_image = make_grid_panel(repeat_images, max_columns)
        images_out = pil2tensor(combined_image)

        # based on ETN_SendImageWebSocket
        results = []

        for tensor in images_out:
            array = 255.0 * tensor.cpu().numpy()
            image = Image.fromarray(np.clip(array, 0, 255).astype(np.uint8))

            server = PromptServer.instance
            server.send_sync(
                BinaryEventTypes.UNENCODED_PREVIEW_IMAGE,
                ["PNG", image, None],
                server.client_id,
            )
            results.append({"source": "websocket", "content-type": "image/png", "type": "output"})

        return {"ui": {"images": results}, "result": (show_help,) }