ComfyUI  >  Nodes  >  Marigold depth estimation in ComfyUI >  Colorize Depthmap

ComfyUI Node: Colorize Depthmap

Class Name


kijai (Account age: 2184 days)
Marigold depth estimation in ComfyUI
Latest Updated
Github Stars

How to Install Marigold depth estimation in ComfyUI

Install this extension via the ComfyUI Manager by searching for  Marigold depth estimation in ComfyUI
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Marigold depth estimation in ComfyUI 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.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • High-speed GPU machines
  • 200+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 50+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

Colorize Depthmap Description

Transform depth maps into color images for visual interpretation using specified colormap, aiding depth analysis and visualization.

Colorize Depthmap:

The ColorizeDepthmap node is designed to transform depth maps into visually interpretable color images. This process, known as colorization, maps depth values to colors using a specified colormap, making it easier to understand and analyze depth information. The node is particularly useful for AI artists and developers working with depth data, as it provides a clear and intuitive way to visualize depth variations in images. By converting depth values to colors, you can quickly identify areas of different depths, which can be beneficial for tasks such as 3D reconstruction, augmented reality, and more.

Colorize Depthmap Input Parameters:


The image parameter expects a depth map image that you want to colorize. This image should be in a format that the node can process, typically a tensor or numpy array representing depth values. The depth map should have at least two dimensions, and if it has more, the node will handle reshaping it appropriately.


The colorize_method parameter specifies the colormap to use for colorizing the depth map. This parameter accepts a string that corresponds to one of the colormaps available in the matplotlib library, such as 'Spectral'. The choice of colormap can significantly impact the visual representation of depth, so you may want to experiment with different options to find the one that best highlights the features of your depth map.

Colorize Depthmap Output Parameters:


The output of the ColorizeDepthmap node is an image where the depth values have been mapped to colors according to the specified colormap. This colorized image is easier to interpret visually and can be used for further analysis or as part of a larger visualization pipeline. The output image is typically in the format of a tensor or numpy array with three color channels (RGB).

Colorize Depthmap Usage Tips:

  • Experiment with different colormaps to find the one that best highlights the features of your depth map.
  • Ensure your depth map is properly normalized before colorizing to get the best visual results.
  • Use the colorized depth map in conjunction with other visualization tools to gain deeper insights into your data.

Colorize Depthmap Common Errors and Solutions:

Invalid dimension

  • Explanation: This error occurs when the input depth map does not have at least two dimensions.
  • Solution: Ensure that your input depth map is correctly formatted and has at least two dimensions before passing it to the node.

Unsupported colormap

  • Explanation: This error occurs when the specified colormap is not recognized by the matplotlib library.
  • Solution: Verify that the colormap name is correct and supported by matplotlib. Refer to the matplotlib documentation for a list of available colormaps.

Depth map type mismatch

  • Explanation: This error occurs when the input depth map is not in a supported format (e.g., not a tensor or numpy array).
  • Solution: Convert your depth map to a supported format before passing it to the node. Use libraries like torch or numpy for conversion if necessary.

Colorize Depthmap Related Nodes

Go back to the extension to check out more related nodes.
Marigold depth estimation in ComfyUI

© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.