# Multimodal Unified Model

A unified model for visual understanding and generation through text-aligned representations

BAGEL is an open-source 7B active parameter multimodal foundation model supporting multimodal understanding and generation tasks

BAGEL is an open-source, 7-billion-parameter active multimodal foundation model trained on large-scale interleaved multimodal data, excelling in both understanding and generation tasks.

Janus-Pro is an innovative autoregressive framework that unifies multimodal understanding and generation capabilities.

Janus-Pro is a novel autoregressive framework that unifies multimodal understanding and generation. It processes multimodal tasks using a single unified Transformer architecture by decoupling visual encoding paths.

Janus-Pro is a novel autoregressive framework that unifies multimodal understanding and generation capabilities. By decoupling visual encoding paths, it uses a single Transformer architecture to handle multimodal tasks.

Janus-Pro is an innovative autoregressive framework that unifies multimodal understanding and generation capabilities. By decoupling visual encoding paths and employing a single Transformer architecture, it resolves conflicts in the roles of visual encoders between understanding and generation.

JanusFlow is a powerful framework that unifies image understanding and generation in a single model, combining autoregressive language models with rectified flow methods.