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Converts color map image into binary masks for isolating color regions, aiding in image segmentation for creative workflows.
The ColorMapToMasks __Inspire node is designed to convert a color map image into multiple binary masks, each representing a distinct color region within the image. This node is particularly useful for AI artists who need to isolate specific color areas for further processing or manipulation. By identifying the most prominent colors in the image and generating masks for each, this node simplifies the task of segmenting an image based on color. The primary function of this node is to analyze the input color map, determine the top colors based on specified criteria, and create corresponding masks that can be used in various creative workflows.
The color_map
parameter expects an image input that serves as the source for color analysis. This image is used to identify distinct color regions that will be converted into masks. The node processes only the first image if multiple images are provided, so ensure that the desired image is at the beginning of the batch.
The min_pixels
parameter specifies the minimum number of pixels a color region must have to be considered for mask creation. This helps in filtering out insignificant color regions that might not be useful. The default value is 500, with a minimum of 1 and a maximum of 0xffffffffffffffff, allowing for fine-tuning based on the image's resolution and the desired level of detail.
The max_count
parameter defines the maximum number of color regions to be converted into masks. This limits the number of masks generated, ensuring that only the most prominent colors are considered. The default value is 5, with a range from 0 to 1000, providing flexibility in the number of masks created based on the complexity of the image.
The MASK
output parameter is a collection of binary masks, each corresponding to a distinct color region identified in the input color map. These masks can be used for various purposes, such as isolating specific areas for further processing, applying effects, or integrating with other nodes in your workflow. Each mask highlights a unique color region, making it easier to manipulate specific parts of the image.
min_pixels
parameter to filter out small, insignificant color regions that may not be useful for your project. Increasing this value can help focus on larger, more relevant areas.max_count
parameter to control the number of masks generated. If you only need a few key color regions, setting a lower value can simplify the output and make it easier to work with.color_map
can only be a single image. Only the first image will be processed. If you want to utilize the remaining images, convert the Image Batch to an Image List.#FFFFFF
) or as an integer representing the RGB value.© Copyright 2024 RunComfy. All Rights Reserved.