ComfyUI Node: 🐯 YFG Histograms Generator (compact)

🐯 YFG Histograms Generator (compact):

The image_histograms_node_compact is a powerful tool designed to generate various types of histograms from images, providing a visual representation of the distribution of pixel intensities. This node is particularly useful for AI artists who want to analyze and understand the color composition and luminosity of their images. By converting images into histograms, you can gain insights into the balance of colors and the overall brightness, which can be crucial for tasks such as image enhancement, color correction, and artistic effects. The node supports multiple histogram types, including RGB histograms with filled areas or lines, individual color channel histograms, and luminosity histograms, offering flexibility to suit different analytical needs.

🐯 YFG Histograms Generator (compact) Input Parameters:

image

The image parameter expects a tensor representing the image you want to analyze. This image is converted into a histogram based on the selected histogram type. The image should be in RGB format and properly preprocessed to ensure accurate histogram generation.

histogram_type

The histogram_type parameter allows you to choose the type of histogram to generate. Options include "RGB Histogram Filled," "RGB Histogram Lines," "Red Channel," "Green Channel," "Blue Channel," and "Luminosity." Each option provides a different perspective on the image's color distribution or brightness. The default value is "RGB Histogram Filled."

histogram_size

The histogram_size parameter determines the resolution of the histogram image. Options include "small," "medium," and "large," which correspond to different DPI (dots per inch) settings: 50, 100, and 150, respectively. The default value is "medium." Higher DPI values result in more detailed histograms but may take longer to generate.

preview

The preview parameter is a boolean that, when set to True, allows you to preview the generated histogram. This can be useful for quickly checking the results without saving the histogram image. The default value is True.

display

The display parameter specifies whether to display the original image or the histogram in the preview. Options include "original" and "histogram." The default value is "histogram."

prompt

The prompt parameter is an optional string that can be used to add a custom prompt or description to the saved histogram image. This can be useful for documentation or organizational purposes.

extra_pnginfo

The extra_pnginfo parameter allows you to include additional metadata in the saved histogram image. This can be useful for embedding extra information about the image or the histogram generation process.

🐯 YFG Histograms Generator (compact) Output Parameters:

ui

The ui output parameter provides a dictionary containing information about the generated histogram image, including the filename and subfolder where the image is saved. This information can be used to locate and view the histogram image.

result

The result output parameter returns a tuple containing the original image tensor and the generated histogram tensor. This allows you to further process or analyze the original image and its corresponding histogram within your workflow.

🐯 YFG Histograms Generator (compact) Usage Tips:

• To get a quick overview of the color distribution in your image, use the "RGB Histogram Filled" option, which provides a clear visual representation with filled areas.
• For detailed analysis of individual color channels, select the "Red Channel," "Green Channel," or "Blue Channel" options to generate histograms for each specific channel.
• Use the "Luminosity" option to understand the brightness distribution in your image, which can be helpful for tasks like exposure correction.
• Adjust the histogram_size parameter based on your needs; use "small" for quick previews and "large" for detailed analysis.

🐯 YFG Histograms Generator (compact) Common Errors and Solutions:

Image tensor is empty

• Explanation: This error occurs when the input image tensor has no data, possibly due to incorrect preprocessing or loading.
• Solution: Ensure that the input image tensor is correctly loaded and preprocessed before passing it to the node.

Invalid histogram type

• Explanation: This error occurs when an unsupported histogram type is specified.
• Solution: Check the histogram_type parameter and ensure it is set to one of the supported options: "RGB Histogram Filled," "RGB Histogram Lines," "Red Channel," "Green Channel," "Blue Channel," or "Luminosity."

DPI value not set correctly

• Explanation: This error occurs when the histogram_size parameter is set to an unsupported value, resulting in an invalid DPI setting.
• Solution: Ensure that the histogram_size parameter is set to "small," "medium," or "large" to correspond to valid DPI values.

Preview display type not recognized

• Explanation: This error occurs when the display parameter is set to an unsupported value.
• Solution: Ensure that the display parameter is set to either "original" or "histogram" for valid preview options.