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.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

12 Lessons to Get Started Building AI Agents

🔊 Text-Prompted Generative Audio Model

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Anthropic's Interactive Prompt Engineering Tutorial

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security,…

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

High-Resolution Image Synthesis with Latent Diffusion Models

PhotoMaker [CVPR 2024]

Inpaint anything using Segment Anything and inpainting models.

Accepted as [NeurIPS 2024] Spotlight Presentation Paper

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

🔊 Text-prompted Generative Audio Model - With the ability to clone voices

Cosmos-Transfer1-DiffusionRenderer: High-quality video de-lighting and re-lighting based on Cosmos video diffusion framework

ayu theme for vscode

Official code for the CVPR 2025 paper "SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models."