ComfyUI Node: ToColorList

ToColorList:

The ToColorList node is designed to convert various image elements into a list of colors, providing a streamlined way to extract and manipulate color information from images. This node is particularly useful for AI artists who need to analyze or modify the color palette of an image for creative projects. By leveraging this node, you can easily transform image data into a structured list of colors, which can then be used for further processing or artistic adjustments. The primary goal of this node is to simplify the extraction of color information, making it accessible and manageable for users without requiring deep technical knowledge.

ToColorList Input Parameters:

image

The image parameter is the primary input for the ToColorList node. It accepts an image in the form of a tensor, which will be processed to extract color information. This parameter is essential as it provides the raw data from which the color list will be generated. Ensure that the image is correctly formatted and pre-processed to achieve accurate results.

color_dict

The color_dict parameter is a dictionary of colors that the node will use to identify and extract colors from the input image. This dictionary should map color names to their corresponding RGB values. The accuracy and comprehensiveness of this dictionary directly impact the quality of the color extraction process.

power

The power parameter is a floating-point value that influences the sensitivity of the color extraction process. It has a default value of 0.5, with a minimum value of 0.01 and a maximum value of 10. Adjusting this parameter allows you to fine-tune the node's performance, making it more or less sensitive to color variations in the image.

mask (optional)

The mask parameter is an optional input that allows you to specify a mask image. This mask can be used to focus the color extraction process on specific areas of the input image. If provided, the mask should be a single-channel image where non-zero values indicate the regions of interest. This parameter is useful for isolating and analyzing colors in particular parts of the image.

ToColorList Output Parameters:

COLOR

The COLOR output parameter is a list of colors extracted from the input image. Each color in the list is represented by its RGB values, providing a structured and easily interpretable format. This output is crucial for further color analysis or manipulation tasks, enabling you to work with the extracted color data in a flexible manner.

STRING

The STRING output parameter provides a textual representation of the extracted colors. This can be useful for logging, debugging, or simply understanding the color extraction results in a human-readable format. The string output complements the color list by offering an alternative way to view and interpret the extracted color information.

ToColorList Usage Tips:

• Ensure that the input image is pre-processed and correctly formatted to achieve accurate color extraction results.
• Use a comprehensive and well-defined color dictionary to improve the quality of the extracted color list.
• Adjust the power parameter to fine-tune the sensitivity of the color extraction process based on the specific characteristics of your input image.
• Utilize the optional mask parameter to focus the color extraction on specific areas of the image, which can be particularly useful for analyzing complex or multi-colored images.

ToColorList Common Errors and Solutions:

"Input image format is incorrect"

• Explanation: This error occurs when the input image is not in the expected tensor format.
• Solution: Ensure that the input image is correctly formatted as a tensor before passing it to the node.

"Color dictionary is empty or invalid"

• Explanation: This error indicates that the provided color dictionary is either empty or not properly formatted.
• Solution: Verify that the color dictionary is correctly defined and contains valid color mappings.

"Mask and image dimensions do not match"

• Explanation: This error occurs when the dimensions of the optional mask do not match those of the input image.
• Solution: Ensure that the mask image has the same dimensions as the input image to avoid this issue.

"Power parameter out of range"

• Explanation: This error indicates that the power parameter value is outside the acceptable range.
• Solution: Adjust the power parameter to a value within the specified range (0.01 to 10).