InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

Python Wrapper for LexicaAPI https://api.qewertyy.dev/docs , for Queries/Support reach out at https://telegram.me/LexicaAPI

PyTorch Implementation of Make-An-Audio (ICML'23) with a Text-to-Audio Generative Model

Stable Diffusion in pure C/C++

Generative models nano version for fun. No STOA here, nano first.

SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

[CVPR2024] AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error

Maaagic UI is an open-source UI framework designed to empower developers with seamless integration and advanced features of AI applications.

Stable Diffusion Fine-Tuning techniques overview.

Inpaint Anything extension performs stable diffusion inpainting on a browser UI using masks from Segment Anything.

AI magics meet Infinite draw board.

Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, T2I-Adapter, IP-Adapter.

Inpaint Anything performs stable diffusion inpainting on a browser UI using masks from Segment Anything.

An AI Related Telegram Utility Bot, can be deployed on vercel

(CVPR 2024) 🧩 TokenCompose: Grounding Diffusion with Token-level Supervision

Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.

[ICLR 2024] "Latent 3D Graph Diffusion" by Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen

Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"