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Automates extraction of specific parts from 3D models/images for AI artists, enhancing workflow efficiency and precision.
The tri3d-extract-parts-batch2
node is designed to facilitate the extraction of specific parts from a batch of 3D models or images, streamlining the process for AI artists who work with complex datasets. This node is particularly beneficial for tasks that require isolating and manipulating distinct components of a 3D model, such as clothing items, body parts, or other segmented elements. By automating the extraction process, it allows you to focus on creative aspects rather than technical details, enhancing efficiency and precision in your workflow. The node's primary goal is to provide a robust and user-friendly method for part extraction, making it an essential tool for projects that involve detailed 3D modeling and image processing.
Unfortunately, the specific input parameters for tri3d-extract-parts-batch2
are not detailed in the provided context. However, typically, such nodes would require parameters like the source data (e.g., 3D models or images), the specific parts to be extracted, and possibly configuration settings for the extraction process. These parameters would influence how the node processes the input data and determines the output results.
The specific output parameters for tri3d-extract-parts-batch2
are not detailed in the provided context. Generally, the outputs would include the extracted parts from the input data, which could be in the form of isolated 3D model components or segmented image parts. These outputs are crucial for further processing or integration into larger projects, providing you with the necessary elements to continue your creative work.
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