How can Janus-Pro-7B be used?
Question
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Lorem ipsum dolor sit amet, consectetur adipiscing elit.Morbi adipiscing gravdio, sit amet suscipit risus ultrices eu.Fusce viverra neque at purus laoreet consequa.Vivamus vulputate posuere nisl quis consequat.
Answers ( 2 )
To use Janus-Pro-7B, follow these steps:
1. **Installation**: Ensure Python 3.8 or higher is installed. Clone the GitHub repository [deepseek-ai/Janus](https://github.com/deepseek-ai/Janus) and install dependencies using `pip install -e .`. For Gradio support, use `pip install -e .[gradio]`.
2. **Inference**: The model path is "deepseek-ai/Janus-Pro-7B". Parameters for text-to-image generation include temperature, parallel size, and CFG weight, as detailed in the repository documentation.
3. **Demo Tools**: Run Gradio demos (e.g., `python demo/app_januspro.py`) or FastAPI demos (e.g., `python demo/fastapi_app.py`). Online demos are also available on Hugging Face Spaces.
Note: The model is not compatible with Hugging Face's inference API due to architectural differences.
To use Janus-Pro-7B, refer to the GitHub repository [Janus](https://github.com/deepseek-ai/Janus) for detailed guidelines on loading the model, setting parameters, and performing inference. Note that the model cannot be deployed via the HF Inference API due to limitations in the Transformers library.