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ComfyUI McKlinton Pack — Mask Node

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Last updated
2025-05-31

ComfyUI McKlinton Pack — Mask Node is a specialized node designed for ComfyUI that facilitates the detailed segmentation of colored mask images into distinct anatomical regions for both male and female bodies. This tool is particularly useful when working with the Virt-A-Mate plugin SnapshotAnimator, which can export depth and segmentation maps from VAM scenes.

  • Enables precise extraction of anatomical features from pre-generated colored segmentation maps.
  • Supports various image processing functionalities, including resizing, cropping, and random sample selection.
  • Outputs multiple formats, including RGB color images, depth maps, and raw segmentation images, along with associated prompt text.

Context

The Mask Node within the ComfyUI McKlinton Pack serves as an advanced tool for users who require detailed anatomical segmentation for artistic or analytical purposes. Its integration with the Virt-A-Mate plugin enhances its utility in generating complex visual outputs based on anatomical features.

Key Features & Benefits

This tool allows users to read and process colored segmentation maps, extracting specific body parts from both male and female figures. The ability to generate combined masks for entire bodies and genital regions streamlines workflows that involve character modeling and animation.

Advanced Functionalities

The Mask Node can process images based on exact RGB color values assigned to various body parts, ensuring high accuracy in segmentation. Users can also opt for random selection from image folders, making it easier to work with large datasets without manual intervention. Furthermore, it supports multiple resizing and cropping modes to meet specific pipeline requirements.

Practical Benefits

By automating the segmentation process and providing multiple output formats, this tool significantly enhances workflow efficiency in ComfyUI. Users gain greater control over the details of their projects, allowing for improved quality and faster iteration times when working with anatomical models.

Credits/Acknowledgments

The Mask Node is developed by McKlinton, with contributions from the community. It is released under the Apache 2.0 License, ensuring open access and collaboration within the user base.