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

Noise Conditional Score Networks (NeurIPS 2019, Oral)

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)

Official PyTorch implementation of the paper Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis.

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing

Official implementation of the Fourier-constrained diffusion bridges (FDB) model for MRI reconstruction

Model Zoo for Generative Models.

Minimal unofficial implementation of Consistency Trajectory models on a 1D toy task.

[ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation

Combinatorial Complex Score-based Diffusion model using stochastic differential equations

[BMVC 2023 (Oral)] Score-PA: Score-based 3D Part Assembly

Code to reproduce the results in "Conditional score-based diffusion models for Bayesian inference in infinite dimensions", NeurIPS 2023

Score-based Diffusion models in JAX.

Diffusion-driven Counterfactual Explanation for Functional MRI (https://arxiv.org/abs/2307.09547)

A collection of SBM in PyTorch Lightning

Minimal Repo to use the continuous-time Diffusion Policy from BESO

[CVPR 2024] G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping

This is keep-it-simple-and-stupid realization of Score-Based Generative Modeling through Stochastic Differential Equations.