Visit ComfyUI Online for ready-to-use ComfyUI environment
Facilitates color manipulation in images based on ADE20k dataset, allowing selection of specific class for color clipping.
The Color Clip ADE20k node is designed to facilitate the process of color manipulation in images based on the ADE20k dataset, which is a widely used dataset for semantic segmentation. This node allows you to select a specific class from the ADE20k dataset and apply color clipping to an image, effectively isolating or highlighting areas of the image that correspond to the chosen class. By leveraging predefined color palettes associated with each class in the ADE20k dataset, this node simplifies the task of color-based image editing, making it accessible even to those without a deep technical background. The primary goal of this node is to provide a straightforward method for enhancing images by focusing on specific semantic elements, thereby enabling more precise and creative control over the visual output.
This parameter represents the input image that you want to process. The image should be in a format that the node can interpret, typically an RGB image. The quality and resolution of the input image can impact the final result, so using high-quality images is recommended.
This parameter allows you to select a specific class from the ADE20k dataset. The available options are predefined class names from the ADE20k dataset, such as "building," "tree," "car," etc. The default value is "person," which corresponds to the class representing people. Selecting a class determines which areas of the image will be affected by the color clipping process.
This parameter specifies the target operation to be applied to the selected class areas in the image. The available options are "TO_BLACK," "TO_WHITE," and "NOTHING." The default value is "TO_BLACK," which will turn the selected class areas black. This parameter allows you to control how the selected class areas are visually modified.
This parameter specifies the operation to be applied to the areas of the image that do not belong to the selected class. The available options are "TO_BLACK," "TO_WHITE," and "NOTHING." The default value is "TO_WHITE," which will turn the non-selected class areas white. This parameter helps in creating a contrast between the selected class areas and the rest of the image.
The output parameter is the processed image, which has undergone the color clipping operation based on the selected class and specified target and complement operations. The resulting image will highlight or isolate the areas corresponding to the chosen class, providing a visually distinct output that emphasizes the semantic elements of interest.
© Copyright 2024 RunComfy. All Rights Reserved.