Janus Pro 7B
Visit WebsiteA powerful AI framework that unifies multimodal understanding and generation, featuring separate visual encoding pathways within a single transformer architecture for enhanced flexibility and performance.
Analytics of Janus Pro 7B
- Total Visits
- 21.3M
- Avg. Time on Site
- 05:02
- Bounce Rate
- 45.5%
- Pages per Visit
- 5.2
Traffic Sources
Top Regions
What is Janus Pro 7B?
Janus-Pro is an advanced autoregressive framework that combines multimodal understanding and generation capabilities. It uniquely decouples visual encoding into separate pathways while maintaining a unified transformer architecture, making it more flexible and effective than traditional approaches. The model is built on DeepSeek-LLM architecture and incorporates SigLIP-L as its vision encoder.
How to use Janus Pro 7B?
1. Access the model through the Hugging Face repository 2. Install the required dependencies 3. Load the model using the provided Python interface 4. Input your text or image data for processing 5. Utilize the model for either understanding or generation tasks
Janus Pro 7B Core Features
Unified multimodal understanding and generation
Decoupled visual encoding pathways
384 x 384 image input support
Compatible with DeepSeek-LLM architecture
High-performance image generation capabilities
Flexible processing architecture
Janus Pro 7B Use Cases
Image and text understanding tasks
AI-powered content generation
Visual-textual analysis
Multimodal data processing
Research and development in AI
Advanced machine learning applications
FAQ from Janus Pro 7B
What license does Janus-Pro use?
The code repository is licensed under the MIT License, while the use of Janus-Pro models is subject to the DeepSeek Model License.
What are the model's input image specifications?
The model supports 384 x 384 image input using the SigLIP-L vision encoder for multimodal understanding.
How can I get support for using Janus-Pro?
Users can raise issues on the GitHub repository or contact the team directly at service@deepseek.com for support.
