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How to Generate Image with DeepSeek Janus-Pro?

By Ismail

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DeepSeek is a powerful AI tool that allows you to create high-quality images just by describing them in words.

Whether you’re a designer, content creator, or simply curious about AI-generated art, this guide will walk you through the process of setting up and using DeepSeek on your computer in the easiest way possible.

What is DeepSeek Janus-Pro?

DeepSeek’s Janus-Pro is an advanced AI model that transforms text descriptions into realistic images.

Unlike online tools that require an internet connection, Janus-Pro runs on your own computer, giving you full control over your creations.

This means faster results, better privacy, and more flexibility in how you generate images.

Step 1: Install Docker Desktop

Before you start using DeepSeek, you’ll need to install Docker Desktop.

This tool helps you run applications in an isolated environment on your computer.

Download Docker Desktop from the official Docker website.

If you’re using Windows, you also need to install the Windows Subsystem for Linux (WSL). Just open your terminal and type:

wsl --install

Once that’s done, restart your computer to ensure everything is set up properly.

Step 2: Download the DeepSeek Janus Repository

Now, let’s grab the DeepSeek project files. These files contain everything needed to generate AI images. Open your terminal and run:

git clone https://github.com/deepseek-ai/Janus.git
cd Janus

This downloads the project and moves you into the correct folder.

Step 3: Optimize the Model (Optional but Recommended)

DeepSeek comes with a heavy model by default, but if your computer isn’t super powerful, you might want to switch to a lighter version.

  • Open the demo folder and find a file called app_januspro.py.
  • Locate the model name deepseek-ai/Janus-Pro-7B and change it to deepseek-ai/Janus-Pro-1B.
  • To improve performance, update the final section of the script like this:
demo.queue(concurrency_count=1, max_size=10).launch(
    server_name="0.0.0.0", server_port=7860
)

These tweaks will make the model run faster and smoother, especially on regular computers.

Step 4: Create a Docker Image

To make things easier, we’ll set up a Dockerfile in the Janus directory. This file tells Docker what to install so that everything runs correctly.

Create a new file called Dockerfile and paste the following:

# Use the latest PyTorch image
FROM pytorch/pytorch:latest

# Set the working directory inside the container
WORKDIR /app

# Copy project files into the container
COPY . /app

# Install all required Python packages
RUN pip install -e .[gradio]

# Start the application
CMD ["python", "demo/app_januspro.py"]

This will automate the installation process, saving you a lot of hassle.

Step 5: Build and Run the Docker Image

With the Dockerfile in place, build the DeepSeek image by running:

docker build -t janus .

Now, start the application with this command:

docker run -it -p 7860:7860 -d -v huggingface:/root/.cache/huggingface -w /app --gpus all --name janus janus:latest

This launches DeepSeek inside a virtual container, making it ready to use.

Step 6: Open DeepSeek and Start Creating Images

Once everything is set up, open your web browser and go to:

http://localhost:7860/

You’ll see a simple interface where you can type in any idea, and DeepSeek will generate an image based on your description.

Just enter your prompt, hit Generate, and watch the AI bring your vision to life!

Conclusion

DeepSeek’s Janus-Pro is a game-changer when it comes to AI image generation.

With this guide, you can easily install and run it on your computer, no advanced coding skills are needed!

Whether you’re an artist looking for inspiration or a tech enthusiast exploring AI, DeepSeek makes image creation fun and effortless.

So go ahead, give it a try, and start bringing your creative ideas to life today!

Ismail

MD. Ismail is a writer at Scope On AI, here he shares the latest news, updates, and simple guides about artificial intelligence. He loves making AI easy to understand for everyone, whether you're a tech expert or just curious about AI. His articles break down complex topics into clear, straightforward language so readers can stay informed without the confusion. If you're interested in AI, his work is a great way to keep up with what's happening in the AI world.

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