We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

Opensource for bashupload.com - PHP based files uploader for CLI, servers, desktops and mobiles

Easy and fast file sharing from the command-line.

Google Drive Public File Downloader when Curl/Wget Fails

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Official Implementation of Rectified Flow (ICLR2023 Spotlight)

Compute FID scores with PyTorch.

Official Implementation (Pytorch) of "DAVI: Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems", ECCV 2024 Oral paper

Rectified Flow Inversion (RF-Inversion)

Posterior Sampling using Latent Diffusion

Official implementation of ReSample (https://arxiv.org/abs/2307.08123)

Official Pytorch repository for "Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective", where FPS (Filtering Posterior Sampling) as well as its extension FPS-SMC…

Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

High-Resolution Image Synthesis with Latent Diffusion Models

Official inference repo for FLUX.1 models

Unofficial implementation of Variational Diffusion Models in PyTorch (Lightning)

Tiny PyTorch library for maintaining a moving average of a collection of parameters.

[NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models

Rotary Transformer

PyTorch implementation of Variational Diffusion Models.

Denoising Diffusion Implicit Models

A JAX research toolkit for building, editing, and visualizing neural networks.

[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

The simplest, fastest repository for training/finetuning medium-sized GPTs.