ComfyUI > Nodes > Jovimetrix Composition Nodes > GRAPH (JOV) πŸ“ˆ

ComfyUI Node: GRAPH (JOV) πŸ“ˆ

Class Name

GRAPH (JOV) πŸ“ˆ

Category
JOVIMETRIX πŸ”ΊπŸŸ©πŸ”΅/UTILITY
Author
amorano (Account age: 5221days)
Extension
Jovimetrix Composition Nodes
Latest Updated
2024-07-03
Github Stars
0.17K

How to Install Jovimetrix Composition Nodes

Install this extension via the ComfyUI Manager by searching for Jovimetrix Composition Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Jovimetrix Composition Nodes 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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GRAPH (JOV) πŸ“ˆ Description

Visualize dynamic data trends over time for AI artists with flexibility in graphing values and resetting options.

GRAPH (JOV) πŸ“ˆ:

The Graph node is designed to visualize a series of data points over time, providing a clear and intuitive way to analyze trends and patterns. This node is particularly useful for AI artists who need to track and display dynamic data visually. By generating an image that represents the graph, it allows you to easily interpret and understand the underlying data trends. The node offers flexibility in terms of the number of values to graph and display, and includes options to reset the graph, making it a versatile tool for various data visualization needs.

GRAPH (JOV) πŸ“ˆ Input Parameters:

RESET

This parameter is a boolean option that allows you to reset the graph. When set to True, the graph will be cleared and start fresh with new data points. The default value is False, meaning the graph will continue to accumulate data points unless explicitly reset.

VALUE

This integer parameter specifies the number of values to graph and display. It determines how many data points will be included in the graph, allowing you to control the granularity of the visualization. The default value is 60, with a minimum value of 0. This parameter is useful for adjusting the scope of the data being visualized.

WH

This vector parameter defines the width and height of the output image in pixels. It is represented as a tuple (width, height) with a default value of (512, 512). The minimum size is constrained by MIN_IMAGE_SIZE, ensuring the image is not too small to be useful. This parameter allows you to customize the dimensions of the graph image to fit your specific needs.

GRAPH (JOV) πŸ“ˆ Output Parameters:

IMAGE

The output of this node is an image that displays the graph of the data points over time. This image provides a visual representation of the trends and patterns in the data, making it easier to analyze and interpret. The image can be used in various contexts, such as reports, presentations, or further processing in other nodes.

GRAPH (JOV) πŸ“ˆ Usage Tips:

  • To get a clear view of recent data trends, set the RESET parameter to True periodically to start the graph fresh.
  • Adjust the VALUE parameter based on the amount of data you want to visualize. For more detailed analysis, increase the number of values.
  • Customize the WH parameter to fit the graph image into your desired layout or presentation format.

GRAPH (JOV) πŸ“ˆ Common Errors and Solutions:

"Invalid value for parameter VALUE"

  • Explanation: The VALUE parameter must be a non-negative integer.
  • Solution: Ensure that the VALUE parameter is set to an integer greater than or equal to 0.

"Image size too small"

  • Explanation: The dimensions specified in the WH parameter are smaller than the minimum allowed size.
  • Solution: Increase the width and height values in the WH parameter to meet the minimum size requirements.

"Graph reset failed"

  • Explanation: The RESET parameter did not properly reset the graph.
  • Solution: Ensure that the RESET parameter is set to True and try running the node again. If the issue persists, check for any conflicting settings or data inputs.

GRAPH (JOV) πŸ“ˆ Related Nodes

Go back to the extension to check out more related nodes.
Jovimetrix Composition Nodes
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