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Extract color palette from images for color correction and artistic inspiration, with histogram visualization and palette image generation.
The ColorPaletteExtractor is a powerful tool designed to extract a color palette from an image, which can be used as a reference for color correction and artistic inspiration. This node is particularly beneficial for artists and designers who wish to analyze the dominant colors within an image and utilize them for creative projects. By generating a color palette, histogram visualization, and a palette image, the ColorPaletteExtractor provides a comprehensive overview of the color composition of an image. This functionality is essential for tasks such as color grading, mood board creation, and ensuring color consistency across different visual elements. The node is designed to be user-friendly, making it accessible to those without a technical background, while still offering advanced features for more experienced users.
The image parameter is the primary input for the ColorPaletteExtractor, representing the image from which the color palette will be extracted. This parameter is crucial as it determines the source of the color data that will be analyzed and processed. The image should be provided in a compatible format, typically as a tensor, to ensure accurate extraction of color information.
The palette_size parameter specifies the number of dominant colors to extract from the input image. This parameter allows you to control the granularity of the color palette, with a higher number resulting in a more detailed palette. The default value is 8, but it can be adjusted based on the desired level of detail and the complexity of the image's color composition.
The extract_palette parameter is a boolean flag that determines whether the color palette extraction process should be executed. When set to True, the node will perform the extraction and generate the corresponding outputs. If set to False, the node will return default or empty outputs, effectively bypassing the extraction process. This parameter is useful for toggling the functionality on and off as needed.
The palette_data output provides a string representation of the extracted color palette, typically in hexadecimal format. This data is essential for understanding the specific colors present in the image and can be used for further analysis or as a reference for color matching and correction tasks.
The histogram output is an image that visualizes the distribution of colors within the input image. This visualization helps in understanding the prominence and frequency of different colors, providing insights into the overall color balance and aiding in decision-making for color adjustments.
The palette_image output is a visual representation of the extracted color palette, displaying the dominant colors in a structured format. This image serves as a quick reference for the extracted colors and can be used in design applications to ensure color consistency and harmony.
palette_size parameter, especially for images with complex color compositions.extract_palette parameter to toggle the extraction process, allowing you to quickly switch between analyzing different images without unnecessary processing.histogram output to gain insights into the color distribution, which can inform decisions on color grading and adjustments.<error_message>RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.