The DeepSeek Janus Pro 7B is a cutting-edge multimodal framework built upon the DeepSeek-LLM-7B-base. It's designed to excel in both understanding and generation tasks, making it a powerful tool for various AI applications. This article provides a comprehensive guide on how to install and run DeepSeek Janus Pro 7B locally, leveraging the capabilities of a GPU-powered virtual machine.
Janus-Pro employs an innovative approach by decoupling visual encoding into separate pathways within a unified transformer architecture. This design effectively addresses conflicts that typically arise between visual understanding and generation. Featuring the SigLIP-L vision encoder for image input and an efficient tokenizer for image generation, Janus-Pro achieves superior performance across multimodal benchmarks. It not only outperforms unified models but also rivals task-specific approaches. Its simplicity, flexibility, and robust design make it a compelling choice for next-generation vision-language models.
Before diving into the installation process, ensure your system meets the following prerequisites:
This guide assumes you're using a GPU-powered Virtual Machine. While the original article uses NodeShift, the steps can be adapted for other cloud providers.
GPU Nodes are on-demand resources equipped with diverse GPUs ranging from H100s to A100s.
For this tutorial, 1x RTX A6000 GPU is recommended for the fastest performance, but more affordable options with less VRAM can be used.
Choose between Password Or more secured SSH Key.
Select an image for your Virtual Machine. Deploy DeepSeek Janus Pro 7B on an NVIDIA Cuda Virtual Machine
After choosing the image, click the "Create" button to deploy your Virtual Machine.
Visual confirmation will indicate when your node is up and running.
nvidia-smisudo apt update
sudo apt install -y software-properties-common
sudo add-apt-repository -y ppa:deadsnakes/ppa
sudo apt update
Run the following command to install Python 3.11 (or another desired version):
sudo apt install -y python3.11 python3.11-distutils python3.11-venv
Link the new Python version as the default python3:
sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 1
sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 2
sudo update-alternatives --config python3
Verify the active Python version:
python3 --version
Install and update pip:
python3 -m ensurepip --upgrade
python3 -m pip install --upgrade pip
Check the pip version:
pip --version
Clone the DeepSeek Janus repository:
git clone https://github.com/deepseek-ai/Janus.git
cd Janus
Install the project dependencies:
pip install -e .
To install gradio:
pip install -e .[gradio]
Execute the following command to run the server:
python3 demo/app_januspro.py
Access the application via the provided local or public URL.
The application should now be running, allowing you to test its multimodal understanding capabilities.
Verify the text-to-image generation functionality to ensure the installation was successful.
DeepSeek Janus Pro 7B is a robust multimodal framework ideal for optimizing multimodal understanding and text-to-image generation tasks. By following this guide, you can successfully install and run Janus Pro 7B locally, opening doors to exploring advanced AI capabilities. Its innovative design and high performance make it a valuable asset for researchers and developers in the field.
