Lumina-T2X is a unified framework for Text to Any Modality Generation

[NeurIPS 2024🔥] DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation

OpenMusic: SOTA Text-to-music (TTM) Generation

Implementation of F5-TTS in MLX

Taming FLUX for Image Inversion & Editing; OpenSora for Video Inversion & Editing! (Official implementation for Taming Rectified Flow for Inversion and Editing.)

🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"

[ICCV 2023] Efficient Diffusion Training via Min-SNR Weighting Strategy

Adaptive Caching for Faster Video Generation with Diffusion Transformers

The official implementation of "CAME: Confidence-guided Adaptive Memory Optimization"

ArXiv paper Progressive Autoregressive Video Diffusion Models: https://arxiv.org/abs/2410.08151

Implementation of F5-TTS in Swift using MLX

Implementation of Diffusion Transformer Model in Pytorch

FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.

This repo implements Diffusion Transformers(DiT) in PyTorch and provides training and inference code on CelebHQ dataset

Implementation of Latent Diffusion Transformer Model in Tensorflow / Keras

Tuning-free image editing based on Flow Transformer

[NeurIPS2024 (Spotlight)] "Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement" by Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang

A repo of a modified version of Diffusion Transformer

This repo implements Video generation model using Latent Diffusion Transformers(Latte) in PyTorch and provides training and inference code on Moving mnist dataset and UCF101 dataset

Pytorch and JAX Implementation of Scalable Diffusion Models with Transformers | Diffusion Transformers in Pytorch and JAX