ComfyUI Node: 📈 Color Analysis Scope

📈 Color Analysis Scope:

The ColorAnalysisPlotNode is a versatile tool designed to provide comprehensive color analysis of images through various visualization techniques. It allows you to generate different types of plots such as histograms, parade, waveform, vectorscope, false color, and gamut warning, each offering unique insights into the color composition and distribution within an image. This node is particularly beneficial for AI artists and designers who wish to understand and manipulate the color dynamics of their digital artwork. By leveraging this node, you can gain a deeper understanding of how colors interact in your images, identify potential issues like color clipping, and make informed decisions to enhance the visual appeal of your creations.

📈 Color Analysis Scope Input Parameters:

image

The image parameter is the primary input for the node, representing the image you wish to analyze. It must be a four-dimensional tensor with a shape of (1, H, W, 3), where H and W are the height and width of the image, and 3 corresponds to the RGB color channels. This format ensures that the image is correctly processed for color analysis.

plot_type

The plot_type parameter determines the type of color analysis plot to generate. You can choose from several options: "histogram", "parade", "waveform", "vectorscope", "false_color", and "gamut_warning". Each option provides a different perspective on the image's color data, allowing you to tailor the analysis to your specific needs.

exposure

The exposure parameter adjusts the brightness of the image before analysis. It is a floating-point value with a default of 1.0, and it can range from 0.1 to 5.0. Adjusting the exposure can help you visualize how changes in brightness affect the color distribution and dynamics within the image.

📈 Color Analysis Scope Output Parameters:

scope_image

The scope_image is the output of the node, providing a visual representation of the selected color analysis plot. This output is an image that reflects the color characteristics of the input image based on the chosen plot type. It serves as a valuable tool for understanding and interpreting the color data, enabling you to make informed adjustments to your artwork.

📈 Color Analysis Scope Usage Tips:

• To get a comprehensive view of your image's color distribution, start with the "histogram" plot type, which provides a straightforward representation of the RGB channels.
• Use the "vectorscope" plot type to analyze the chroma components of your image, which is particularly useful for identifying color balance and saturation issues.
• Adjust the exposure parameter to simulate different lighting conditions and observe how they impact the color dynamics of your image.

📈 Color Analysis Scope Common Errors and Solutions:

Expected image shape (1, H, W, 3), got <image_shape>

• Explanation: This error occurs when the input image does not match the expected shape of (1, H, W, 3).
• Solution: Ensure that your input image is a four-dimensional tensor with the correct shape and that it contains three color channels (RGB).

Unknown plot type: <plot_type>

• Explanation: This error indicates that the specified plot_type is not recognized by the node.
• Solution: Verify that the plot_type is one of the supported options: "histogram", "parade", "waveform", "vectorscope", "false_color", or "gamut_warning".