A latent text-to-image diffusion model

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.

A programming framework for agentic AI 🤖 (PyPi: autogen-agentchat)

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

High-Resolution Image Synthesis with Latent Diffusion Models

LAVIS - A One-stop Library for Language-Vision Intelligence

Flax is a neural network library for JAX that is designed for flexibility.

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

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

Search photos on Unsplash using natural language

OpenAI CLIP text encoders for multiple languages!