Janus is a multimodal large language model and unified framework that integrates visual understanding and image generation within a single neural network. It functions as both a visual understanding model for analyzing images and a text-to-image generator.
The system uses a unified transformer backbone and a multimodal latent space to bridge the gap between text and visual data. This architecture employs decoupled visual encoding and cross-modal tokenization to separate the paths for discriminative understanding and generative tasks, representing images as grids of discrete codes.
The project covers capabilities for multimodal AI understanding and visual content analysis, enabling the model to interpret images and answer complex questions. It also supports generative modeling to create images from natural language descriptions.
