Janus-Pro is a novel autoregressive framework that unifies multimodal understanding and generation, enhancing flexibility by decoupling the visual encoding path.

MultimodalTransformers

Janus-Pro is a novel autoregressive framework that unifies multi-modal understanding and generation tasks and enhances flexibility by decoupling visual encoding.

MultimodalTransformers

A 4-bit quantized version based on deepseek-ai/Janus-Pro-7B, optimized for Apple chip devices and suitable for chat tasks.

Natural Language ProcessingSafetensors

4-bit quantized version based on deepseek-ai/Janus-Pro-1B, optimized for Apple chips using the MLX framework

Natural Language ProcessingSafetensors

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

MultimodalTransformers

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.

MultimodalTransformers

Janus-Pro-1B is a multimodal causal language model that supports various tasks such as text-to-image and image-to-text.

MultimodalTransformers

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.

MultimodalTransformers

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.

MultimodalTransformers