Flux Schnell diffusion transformer model fine tuning across hardware configurations

TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers

Minimal DDPM/DiT-based generation of MNIST digits

Leverage SANA's capabilities using LitServe.

DiT-VTON: Exploring Diffusion Transformer Framework for Multi-Category Virtual Try-On with Integrated Image Customization

A diffusion transformer implementation in Flax

A repo of a modified version of Diffusion 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

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

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

Tuning-free image editing based on Flow Transformer

Implementation of Latent Diffusion Transformer Model in Tensorflow / Keras

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

Implementation of RIFT-SVC, a singing voice conversion model based on Rectified Flow Transformer.

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

Implementation of Diffusion Transformer Model in Pytorch

Implementation of F5-TTS in Swift using MLX

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

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