ComfyUI > Nodes > ComfyUI Inspire Pack > LeReS Depth Map Preprocessor Provider (SEGS)

ComfyUI Node: LeReS Depth Map Preprocessor Provider (SEGS)

Class Name

LeRes_DepthMap_Preprocessor_Provider_for_SEGS __Inspire

Category
InspirePack/SEGS/ControlNet
Author
Dr.Lt.Data (Account age: 471days)
Extension
ComfyUI Inspire Pack
Latest Updated
2024-07-02
Github Stars
0.3K

How to Install ComfyUI Inspire Pack

Install this extension via the ComfyUI Manager by searching for ComfyUI Inspire Pack
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI Inspire Pack in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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LeReS Depth Map Preprocessor Provider (SEGS) Description

Generate high-quality depth maps for AI art applications with enhanced details using LeReS algorithm for precise image depth control.

LeReS Depth Map Preprocessor Provider (SEGS):

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.

LeReS Depth Map Preprocessor Provider (SEGS) Input Parameters:

rm_nearest

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.

rm_background

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.

boost

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.

LeReS Depth Map Preprocessor Provider (SEGS) Output Parameters:

SEGS_PREPROCESSOR

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.

LeReS Depth Map Preprocessor Provider (SEGS) Usage Tips:

  • To achieve a more focused depth map, start with lower values for rm_nearest and rm_background and gradually increase them until you get the desired effect.
  • Enable the boost option when working with high-resolution images or scenes with intricate details to enhance the depth map's quality.

LeReS Depth Map Preprocessor Provider (SEGS) Common Errors and Solutions:

[ERROR] To use LeReS_DepthMap_Preprocessor_Provider, you need to install 'ComfyUI's ControlNet Auxiliary Preprocessors.'

  • Explanation: This error occurs when the required extension, ComfyUI's ControlNet Auxiliary Preprocessors, is not installed.
  • Solution: Install the necessary extension from the provided GitHub repository link: https://github.com/Fannovel16/comfyui_controlnet_aux. Follow the installation instructions to ensure the extension is correctly set up.

Image resolution mismatch

  • Explanation: This error can occur if the input image resolution is not compatible with the node's processing requirements.
  • Solution: Ensure that the input image resolution is normalized using the 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.

LeReS Depth Map Preprocessor Provider (SEGS) Related Nodes

Go back to the extension to check out more related nodes.
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