ComfyUI-segment-anything-2

A library for image segmentation using ComfyUI nodes

CommonProductImageImage SegmentationMachine Learning

ComfyUI-segment-anything-2 is an image segmentation library based on the segment-anything-2 model, allowing users to easily perform image segmentation tasks through ComfyUI nodes. The library is currently in development but its core functionalities are available. By automatically downloading models and integrating them into ComfyUI, it provides users with a straightforward image segmentation solution.

Automatically download models and integrate them into ComfyUI
Support negative selection
allowing exclusion of specific areas from segmentation
Support video mode for dynamic image segmentation
Offline model loading
enabling use without an internet connection
CUDA extension support for enhanced image processing speed
Provide example code to help users get started quickly

\This product is designed for developers and researchers who require image segmentation
such as in image editing
medical image analysis
and autonomous driving. It simplifies the image segmentation process
enabling even non-experts to easily perform complex image processing tasks.\

Automatically segment lesion areas in medical image analysis
Real-time recognition of roads and obstacles in autonomous driving systems
Quick background removal and replacement in image editing software

1. Install the ComfyUI-segment-anything-2 library
2. Import the necessary ComfyUI nodes
3. Configure the model download path and CUDA extension settings
4. Load the model and choose between segmentation modes (video or static images)
5. Run the image segmentation process to obtain the segmentation results

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