Table of Content

ComfyUI Node: 🌁 CR Image Panel

Class Name

CR Image Panel

Category 🧩 Comfyroll Studio/👾 Graphics/🌁 Layout

Author Suzie1 (Account age: 2158days)Extension Comfyroll StudioLatest Updated 2024-06-05Github Stars 0.49K

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How to Install Comfyroll Studio

Install this extension via the ComfyUI Manager by searching for Comfyroll Studio

1. Click the Manager button in the main menu
1. Select Custom Nodes Manager button
1. Enter Comfyroll Studio in the search bar

After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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🌁 CR Image Panel Description

Facilitates creation and management of image panels in AI art projects for streamlined organization and presentation.

🌁 CR Image Panel:

The CR Image Panel node is designed to facilitate the creation and manipulation of image panels within your AI art projects. This node allows you to integrate images into a structured panel format, making it easier to manage and display multiple images in a cohesive layout. The primary goal of the CR Image Panel is to streamline the process of organizing and presenting images, providing a user-friendly interface for artists to work with. By leveraging this node, you can efficiently create visually appealing image panels that enhance the overall aesthetic of your projects.

🌁 CR Image Panel Input Parameters:

images

This parameter accepts a list of images that you want to include in the panel. Each image should be provided in a format compatible with the node, typically as tensors. The images will be processed and arranged according to the specified layout settings.

border_thickness

This parameter defines the thickness of the border to be applied around each image in the panel. The value is an integer, with a minimum of 0 (no border) and no specified maximum. The default value is typically set to a moderate thickness that provides a clear separation between images.

border_color

This parameter specifies the color of the border around each image. The color can be selected from a predefined set of colors or specified using a hex code. The default color is usually black, but you can customize it to match your project's theme.

outline_thickness

This parameter determines the thickness of the outline to be applied around the border of each image. Similar to the border_thickness, the value is an integer with a minimum of 0 (no outline) and no specified maximum. The default value is set to provide a subtle outline that enhances the border's visibility.

outline_color

This parameter sets the color of the outline around the border of each image. You can choose from a predefined set of colors or specify a custom color using a hex code. The default color is typically black, but it can be adjusted to suit your design preferences.

max_columns

This parameter controls the maximum number of columns in the image panel layout. The value is an integer, with a minimum of 1 and no specified maximum. The default value is set to create a balanced grid layout that optimizes the use of space.

border_color_hex

This optional parameter allows you to specify the border color using a hex code. This provides additional flexibility in customizing the appearance of the borders. The default value is "#000000" (black).

🌁 CR Image Panel Output Parameters:

image_out

This output parameter provides the final image panel as a single image tensor. The combined image includes all the input images arranged according to the specified layout settings, with borders and outlines applied as defined.

show_help

This output parameter provides a URL to the documentation or help page for the CR Image Panel node. This link offers additional information and guidance on using the node effectively.

🌁 CR Image Panel Usage Tips:

To create a visually appealing image panel, experiment with different border and outline thicknesses to find the right balance for your project.
Use the max_columns parameter to control the layout of your image panel, ensuring that the images are arranged in a way that maximizes the use of space and enhances the overall design.
Customize the border and outline colors to match the theme of your project, using the border_color and outline_color parameters or the border_color_hex option for more precise color control.

🌁 CR Image Panel Common Errors and Solutions:

Invalid image format

Explanation : The input images are not in a compatible format.
Solution : Ensure that all input images are provided as tensors in the correct format.

Border thickness out of range

Explanation : The border_thickness value is outside the acceptable range.
Solution : Adjust the border_thickness value to be within the valid range, with a minimum of 0.

Outline thickness out of range

Explanation : The outline_thickness value is outside the acceptable range.
Solution : Adjust the outline_thickness value to be within the valid range, with a minimum of 0.

Invalid color code

Explanation : The specified color code is not valid.
Solution : Ensure that the color code is in the correct hex format (e.g., "#FFFFFF" for white).

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