facebookresearch / flow_matching
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
☆1,774Updated 2 weeks ago
Alternatives and similar repositories for flow_matching:
Users that are interested in flow_matching are comparing it to the libraries listed below
- TorchCFM: a Conditional Flow Matching library☆1,410Updated 2 weeks ago
- PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838☆1,234Updated 3 months ago
- A summary of related works about flow matching, stochastic interpolants☆371Updated 5 months ago
- code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"☆684Updated last month
- Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"☆742Updated 10 months ago
- A suite of image and video neural tokenizers☆1,478Updated this week
- Official Pytorch Implementation of Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think☆791Updated last month
- Elucidating the Design Space of Diffusion-Based Generative Models (EDM)☆1,485Updated 10 months ago
- Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI☆900Updated this week
- Official Implementation of Rectified Flow (ICLR2023 Spotlight)☆1,057Updated 5 months ago
- Schedule-Free Optimization in PyTorch☆2,061Updated last month
- EDM2 and Autoguidance -- Official PyTorch implementation☆610Updated last month
- Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation☆1,460Updated 5 months ago
- [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)☆454Updated 10 months ago
- SEED-Voken: A Series of Powerful Visual Tokenizers☆810Updated 2 weeks ago
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,545Updated 2 years ago
- ☆320Updated last month
- Implementation of Autoregressive Diffusion in Pytorch☆343Updated 2 months ago
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,807Updated 6 months ago
- Code for NeurIPS 2024 paper - The GAN is dead; long live the GAN! A Modern Baseline GAN - by Huang et al.☆501Updated this week
- Vector (and Scalar) Quantization, in Pytorch☆2,824Updated last week
- Implementation of MagViT2 Tokenizer in Pytorch☆588Updated this week
- This repo contains the code for 1D tokenizer and generator☆645Updated this week
- A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.☆696Updated 8 months ago
- Repository for Show-o, One Single Transformer to Unify Multimodal Understanding and Generation.☆1,129Updated 3 weeks ago
- Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis☆871Updated this week
- Code for BLT research paper☆1,314Updated this week
- A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model☆548Updated last month
- Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.☆699Updated last year
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆654Updated 2 years ago