ComfyUI Node: Plot Points

Class Name

PlotPoints

Category
PixtralLlamaVision/Utility
Author
SeanScripts (Account age: 1678days)
Extension
ComfyUI-PixtralLlamaMolmoVision
Latest Updated
2024-10-05
Github Stars
0.06K

How to Install ComfyUI-PixtralLlamaMolmoVision

Install this extension via the ComfyUI Manager by searching for ComfyUI-PixtralLlamaMolmoVision
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-PixtralLlamaMolmoVision 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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Plot Points Description

Visualize data points on images for AI artists, highlighting key areas with customizable sizes, colors, and labels.

Plot Points:

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.

Plot Points Input Parameters:

points

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

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.

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.

size

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

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.

color

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.

Plot Points Output Parameters:

image

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.

Plot Points Usage Tips:

  • Ensure that the points' coordinates are correctly scaled as percentages of the image dimensions to maintain accuracy in plotting.
  • Use contrasting colors for points and labels to ensure they stand out against the image background for better visibility.
  • Adjust the size and font size parameters to match the resolution and scale of your image, ensuring that points and labels are clear and legible.

Plot Points Common Errors and Solutions:

Failed to parse points: <match>: <error>

  • Explanation: This error occurs when the input points cannot be correctly parsed, possibly due to incorrect formatting or data types.
  • Solution: Verify that the points are formatted correctly as percentages and that all required data is provided. Ensure that the input data matches the expected format and types.

Non-matching filter for <match>

  • Explanation: This error indicates that the provided filter does not match any of the alternative labels or inner labels in the points data.
  • Solution: Check the filter string for accuracy and ensure it matches the intended labels. Adjust the filter to correctly identify the points you wish to plot.

Plot Points Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-PixtralLlamaMolmoVision
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