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ComfyUI > Nodes > ComfyUI-LiTo > LiTo Preview Point Cloud

ComfyUI Node: LiTo Preview Point Cloud

Class Name

LiToPreviewPointCloud

Category
LiTo
Author
PozzettiAndrea (Account age: 2388days)
Extension
ComfyUI-LiTo
Latest Updated
2026-05-21
Github Stars
0.04K

How to Install ComfyUI-LiTo

Install this extension via the ComfyUI Manager by searching for ComfyUI-LiTo
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-LiTo 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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LiTo Preview Point Cloud Description

Interactive 3D point cloud visualization in ComfyUI using VTK.js for real-time preview of PLY files.

LiTo Preview Point Cloud:

The LiToPreviewPointCloud node is designed to provide an interactive 3D visualization of point cloud data within the ComfyUI environment. This node leverages a VTK.js-based viewer to render PLY files, which are commonly used to store 3D data points, allowing you to explore and analyze the spatial structure and properties of the data in a browser. The primary benefit of this node is its ability to offer a real-time, intuitive preview of complex 3D point clouds, which can be particularly useful for artists and designers working with 3D models or visual effects. By integrating this visualization capability directly into the ComfyUI, it streamlines the workflow, enabling you to quickly assess and iterate on 3D data without needing to switch between different software tools.

LiTo Preview Point Cloud Input Parameters:

file_path

The file_path parameter is a string input that specifies the location of the PLY file you wish to preview. This parameter is crucial as it directs the node to the correct file containing the 3D point cloud data. The path must be accurate and accessible; otherwise, the node will not be able to load the data for visualization. There are no explicit minimum or maximum values for this parameter, but it must be a valid file path string. The default value is not applicable as this parameter requires user input to function correctly.

LiTo Preview Point Cloud Output Parameters:

ui

The ui output parameter provides feedback on the file path used for the preview. It returns a dictionary containing the file_path key, which holds a list with the path of the PLY file if successfully loaded, or an empty string if the file was not found. This output is essential for confirming that the correct file has been loaded and is being visualized, allowing you to verify the node's operation and troubleshoot any issues related to file access.

LiTo Preview Point Cloud Usage Tips:

  • Ensure that the file_path is correctly specified and points to a valid PLY file to avoid errors and ensure successful visualization.
  • Use this node to quickly preview changes in your 3D data by updating the PLY file and reloading it in the viewer, facilitating an efficient iterative design process.

LiTo Preview Point Cloud Common Errors and Solutions:

PLY file not found: <file_path>

  • Explanation: This error occurs when the specified file path does not point to an existing PLY file, possibly due to a typo in the path or the file being moved or deleted.
  • Solution: Double-check the file path for accuracy, ensure the file exists at the specified location, and verify that the file has not been moved or renamed.

LiTo Preview Point Cloud Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-LiTo
RunComfy
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RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.

LiTo Preview Point Cloud