About Helios AI
Helios AI is a research initiative focused on high-performance generative models that operate in real-time. Our core work centers on the 14B parameter Helios model, which provides a robust foundation for long video synthesis without the need for conventional acceleration or stability strategies.
Our Mission
The goal of the Helios AI project is to simplify the technical pipeline for generative video. Most modern systems rely on intricate post-processing and complex caching mechanisms to achieve stability. We believe that by focusing on the fundamental efficiency of the model architecture, we can deliver high-quality results that are easier to deploy and scale.
Technological Foundation
Our model is built on an autoregressive framework that treats video generation as a sequential prediction task. This approach ensures temporal cohesion over extended durations. By reaching a synthesis speed of 19.5 FPS on single GPU hardware, Helios AI proves that large-scale parameters do not have to come at the cost of operational speed.
The Research Team
Helios AI is developed and maintained by the PKU-YuanGroup. We are committed to open science and providing the research community with tools that are both powerful and transparent. Our source code and technical findings are regularly shared with the public to encourage further innovation in the field of generative artificial intelligence.
Unofficial Showcase Disclaimer
This website is a technical showcase for the Helios AI project. It is not an official website and does not represent the official views or endorsements of the researchers.
Official Research Group: PKU-YuanGroup
Core Model Released under: Apache 2.0 License
For the official documentation and source code, please visit the Official GitHub Repository.