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Generate high-quality depth maps for AI art applications with enhanced details using LeReS algorithm for precise image depth control.
The LeRes_DepthMap_Preprocessor_Provider_for_SEGS node is designed to generate depth maps from images, which are essential for various AI art applications, including 3D rendering, augmented reality, and image segmentation. This node leverages the LeReS (Learning-based Residual Structure) algorithm to produce high-quality depth maps, allowing you to remove the nearest objects or background elements from the image. Additionally, it offers a boost option to enhance the depth map's details, making it a versatile tool for creating more dynamic and visually appealing artworks. By integrating this node into your workflow, you can achieve more precise control over the depth information in your images, leading to more realistic and engaging results.
This parameter controls the removal of the nearest objects in the image. It accepts a float value ranging from 0.0 to 100, with a default value of 0.0. Increasing this value will progressively remove closer objects from the depth map, which can be useful for focusing on background elements or creating a sense of depth in your artwork.
This parameter manages the removal of background elements from the image. It also accepts a float value ranging from 0.0 to 100, with a default value of 0.0. Adjusting this value will help you eliminate background noise and distractions, allowing you to emphasize the main subjects in your image.
This optional parameter is a boolean that enables or disables the boost feature. The default value is False, with the options labeled as "enable" and "disable." When enabled, the boost feature enhances the details in the depth map, providing a more detailed and refined output, which can be particularly useful for high-resolution images or intricate scenes.
The output of this node is a SEGS_PREPROCESSOR object, which contains the processed depth map. This output is crucial for subsequent nodes that require depth information, such as those used for 3D rendering, image segmentation, or augmented reality applications. The depth map provides a detailed representation of the distance of objects within the image, enabling more advanced and creative manipulations.
rm_nearest
and rm_background
and gradually increase them until you get the desired effect.boost
option when working with high-resolution images or scenes with intricate details to enhance the depth map's quality.ComfyUI's ControlNet Auxiliary Preprocessors
, is not installed.https://github.com/Fannovel16/comfyui_controlnet_aux
. Follow the installation instructions to ensure the extension is correctly set up.normalize_size_base_64
function to match the expected dimensions. This will help the node process the image correctly and generate an accurate depth map.© Copyright 2024 RunComfy. All Rights Reserved.