The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

PyTorch code and models for the DINOv2 self-supervised learning method.

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation