ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM
A ComfyUI custom node implementation combining YOLO-World object detection with EfficientSAM segmentation for real-time detection and mask generation.
Not currently ranked — collecting fresh signals.
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This project provides unofficial ComfyUI integration for YOLO-World and EfficientSAM models. It loads pre-trained detection and segmentation models, accepts text-based categories for detection targets, and outputs segmentation masks that can be extracted or applied to images. Version 2.0 adds mask separation and selection capabilities for both static images and video inputs.
Frequently asked
- What is ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM?
- A ComfyUI custom node implementation combining YOLO-World object detection with EfficientSAM segmentation for real-time detection and mask generation.
- Is ComfyUI-YoloWorld-EfficientSAM open source?
- Yes — ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM is open source, released under the GPL-3.0 license.
- What language is ComfyUI-YoloWorld-EfficientSAM written in?
- ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM is primarily written in Python.
- How popular is ComfyUI-YoloWorld-EfficientSAM?
- ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM has 825 stars on GitHub.
- Where can I find ComfyUI-YoloWorld-EfficientSAM?
- ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM is on GitHub at https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM.