Ming-Lite-Uni: An Open-Source AI Framework Designed to Unify Text and Vision through an Autoregressive Multimodal Structure

Ming-Lite-Uni is an open-source AI framework designed to seamlessly unify text and vision through autoregressive multimodal structuring. It features multi-scale learnable tokens and an alignment strategy that maintains coherence across image scales, enhancing visual quality and contextual fluency. Tested on a wide range of multimodal tasks, it aims to improve image generation and editing while supporting efficient scaling. The framework is a step toward practical multimodal AI systems, promising robust semantic comprehension and high-resolution visual outputs.