🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Let us control diffusion models!

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Materials for the Hugging Face Diffusion Models Course

Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (LLM-grounded Diffusion: LMD, TMLR 2024)

A collection of resources on controllable generation with text-to-image diffusion models.

A latent text-to-image diffusion model

A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

[CVPR 2024] InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization

A collection of resources on personalized image generation.

A collection of resources on attacks and defenses targeting text-to-image diffusion models

An official code for the paper "CASteer: Steering Diffusion Models for Controllable Generation"

[CVPR 2024] Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation

Erasing Concepts from Diffusion Models

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

Unified Concept Editing in Diffusion Models