18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

High-Resolution Image Synthesis with Latent Diffusion Models

Inpaint anything using Segment Anything and inpainting models.

Latent Text-to-Image Diffusion

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Python API client for AUTOMATIC1111/stable-diffusion-webui

台湾大学李宏毅老师机器学习

Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis

💇🏻‍♀️ An end-to-end workflow for editing hair attributes on real faces