OpenDiT is a high-performance system for DiT (Diffusion Transformer) models. It significantly improves the training and inference efficiency of DiT models through a series of optimization technologies. The system uses hybrid parallel methods and technologies such as FastSeq to easily achieve text-to-image and text-to-video generation while simplifying user operations without requiring users to delve into the complex details of distributed training. The emergence of OpenDiT lowers the threshold for DiT applications and provides convenience to the majority of users.
OpenDiT is a high-performance system for DiT (Diffusion Transformer) models. It significantly improves the efficiency of training and inference by optimizing the kernel, adopting hybrid parallel methods, and introducing technologies such as FastSeq. Users can easily perform text-to-image and text-to-video generation without going into the implementation details of distributed training. The emergence of OpenDiT provides convenience for the training and inference of DiT applications and simplifies user operations.All in all, OpenDiT, with its efficient performance and simple operation, brings great convenience to the application of DiT models, making it easier to be widely used and promoted, and contributing to the development of the field of artificial intelligence.