> ## Documentation Index
> Fetch the complete documentation index at: https://runpod-b18f5ded-public-endpoints.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Run Fooocus in Jupyter Notebook

## Overview

Fooocus is an open-source image generating model.

In this tutorial, you'll run Fooocus in a Jupyter Notebook and then launch the Gradio-based interface to generate images.

Time to complete: \~5 minutes

## Prerequisites

The minimal requirement to run Fooocus is:

* 4GB Nvidia GPU memory (4GB VRAM)
* 8GB system memory (8GB RAM)

## Runpod infrastructure

1. Select **Pods** and choose **+ GPU Pod**.

2. Choose a GPU instance with at least 4GB VRAM and 8GB RAM by selecting **Deploy**.

3. Search for a template that includes **Jupyter Notebook** and select **Deploy**.

   * Select **Runpod Pytorch 2**.
   * Ensure **Start Jupyter Notebook** is selected.

4. Select **Choose** and then **Deploy**.

## Run the notebook

1. Select **Connect to Jupyter Lab**.
2. In the Jupyter Lab file browser, select **File > New > Notebook**.
3. In the first cell, paste the following and then run the Notebook.

```bash theme={"system"}
!pip install pygit2==1.12.2
!pip install opencv-python==4.9.0.80
%cd /workspace
!git clone https://github.com/lllyasviel/Fooocus.git
%cd /workspace/Fooocus
!python entry_with_update.py --share
```

## Launch UI

Look for the line:

```javascript theme={"system"}
App started successful. Use the app with ....
```

And select the link.

## Explore the model

Explore and run the model.