Visit ComfyUI Online for ready-to-use ComfyUI environment
Visualize data points on images for AI artists, highlighting key areas with customizable sizes, colors, and labels.
The PlotPoints node is designed to visually represent specific points on an image, enhancing your ability to analyze and interpret visual data. This node is particularly useful for AI artists who need to overlay data points onto images for better visualization and understanding. By plotting points with customizable sizes, colors, and labels, you can effectively highlight areas of interest or significance within an image. This capability is essential for tasks that require precise visual annotations, such as identifying features or patterns in AI-generated art or other visual projects. The node's primary function is to take a set of points and render them onto an image, providing a clear and informative visual output.
This parameter represents the coordinates of the points you wish to plot on the image. Each point is defined by its x and y coordinates, which are typically expressed as percentages of the image dimensions. This allows for flexible and scalable plotting, ensuring that points are accurately placed regardless of the image size.
Labels are optional strings that can be associated with each point. They provide additional context or information about the points being plotted, such as names or descriptions. This can be particularly useful for identifying specific features or areas within the image.
The image parameter is the base image onto which the points will be plotted. It serves as the canvas for your visual annotations, and the quality and resolution of this image will directly affect the clarity of the plotted points.
This integer parameter determines the size of the plotted points. The default value is 5, with a minimum of 1. Adjusting the size allows you to emphasize or de-emphasize points based on their importance or the level of detail required.
Font size controls the size of the text labels associated with the points. The default value is 40, which can be adjusted to ensure that labels are legible and appropriately scaled to the image and point size.
The color parameter specifies the color of the plotted points and labels, using a string format such as a hex code. The default color is blue (#0000ff
), but you can customize this to match your project's aesthetic or to improve visibility against the image background.
The output is an image with the specified points and labels plotted onto it. This enhanced image provides a visual representation of the data points, allowing for easy interpretation and analysis. The output image retains the original image's quality while adding the informative overlay of points and labels.
<match>
: <error>
<match>
© Copyright 2024 RunComfy. All Rights Reserved.