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Segment-Anything + Stable Diffusion Inpainting

Language Segment-Anything is an open-source project that uses text prompts and instance segmentation to create masks for specific objects in images. It's an easy-to-use for object detection and image segmentation that's built on the recently released SAM model by Meta AI and the GroundingDINO detection model.

New Features!

  • Add Stable diffusion inpainting.
  • Add Lama-cleaner to remove segmented area.

Features

  • Zero-shot text-to-bounding box approach for object detection.
  • GroundingDINO detection model integration with the latest SAM model.
  • Deployment using Gradio on HuggingFace.
  • Customizable text prompts for object detection (using GroundingDINO) and segmentation (using SAM from Meta AI).

Getting Started

Go to demo! HuggingFace space

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Segment-Anything Playground

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