How to Install DragGAN: A Comprehensive Guide

Are you interested in AI image manipulation and looking to install DragGAN? You’ve come to the right place. This guide will provide you with a step-by-step process on how to install and run DragGAN, a point-based AI image manipulation tool. If you would like to see examples of the DragGAN check out this paper.

DragGAN AI Image Editing

DragGAN Prerequisites

Before we dive into the installation process, it’s important to note that DragGAN requires a specific system setup. This includes a compatible operating system (Windows, Mac, or Linux), Python 3.7, and a GPU with at least 8GB of memory for 1024 models or 6GB for 512 models.

If you’re using an NVIDIA GPU, you’ll also need to install the CUDA toolkit. For Mac users, note that the CUDA toolkit is only for NVIDIA graphics cards.

If you’re running this on Windows, it’s recommended to install the CUDA toolkit 11.1. However, if you can’t find that version, you can use version 11.3.1.

Install DragGAN

Step 1: Setting Up a New Conda Environment

The first step to install DragGAN is to set up a new conda environment. To do this, you’ll need to install the Anaconda distribution if you haven’t already. Once Anaconda is installed, you can create a new environment by running the following command in your terminal:

conda create -n draggan python=3.7

This command creates a new conda environment named “draggan” with Python 3.7.

Step 2: Activating the Environment

After creating the new environment, you’ll need to activate it. You can do this by running the following command:

conda activate draggan

You’ll know the environment is activated because it will be displayed in your terminal.

Step 3: Installing the Necessary Requirements

Next, you’ll need to install the necessary requirements for DragGAN. To do this, navigate to the DragGAN directory and run the following command:

pip install -r requirements.txt

This command installs all the necessary packages listed in the requirements.txt file.

Step 4: Enabling Fallbacks for MPS

MPS is Apple’s version of CUDA. It allows you to use the GPU to power a lot of this, but it doesn’t work right now, so you have to make sure you’re able to fall back and use the CPU. To do this, you’ll need to export the following variable:


Step 5: Downloading the Pre-trained Models

Next, you’ll need to download the pre-trained models for DragGAN. You can do this by running the following command:

python scripts/

This command downloads the pre-trained models, which may take some time as these models are quite large.

Step 6: Running the GUI

Finally, you can run the DragGAN GUI by executing the following command:

sh scripts/

If you encounter any issues running the GUI, you can use the following workaround:


This command runs the DragGAN visualizer, allowing you to interact with the model.


Congratulations on successfully integrating DragGAN into your system. With this cutting-edge AI image manipulation tool at your disposal, the possibilities for creativity are endless. Dive in and explore the full potential of DragGAN, and let your imagination run wild as you experiment with its powerful features.

The more you use it, the more you’ll unlock its true potential. Enjoy the journey and watch as your creations come to life!

If you found this guide helpful, please consider checking out our SuperAGi Guide or our GTP-Engineer Guide. And as always, if you have any questions or run into any issues during the installation process, don’t hesitate to reach out. Happy editing!

Frequently Asked Questions (FAQ)

What is DragGAN?

DragGAN stands for “Drag-based Generative Adversarial Network.” It is a type of AI model that can generate realistic images based on your input. Unlike traditional image editing tools that only distort or crop existing pixels, DragGAN can create new content that matches your intention.

How does DragGAN work?

DragGAN introduces interactive point-based manipulation on the generative image manifold. This means that users have the power to deform images and precisely control the position, pose, shape, expression, and layout of the generated objects.

Is DragGAN easy to use?

Yes, DragGAN is designed to be user-friendly. It enables you to easily adjust photos and art by dragging across the image. It’s as simple as that!

Is the official code for DragGAN released?

Yes, DragGAN code has officially been released. You can find it on GitHub or follow our guide to install it.

Can I use DragGAN for professional purposes?

Absolutely! DragGAN can be a powerful tool for professionals in various fields. It can be used for creating customized marketing and advertising materials, developing personalized educational resources, enhancing the visual appeal of websites and digital media, and facilitating the creation of realistic digital artwork.

Are there any system requirements for installing DragGAN?

Yes, DragGAN requires a compatible operating system (Windows, Mac, or Linux), Python 3.7, and a GPU with at least 8GB of memory for 1024 models or 6GB for 512 models. If you’re using an NVIDIA GPU, you’ll also need to install the CUDA toolkit.

Where can I get help if I encounter issues during the installation process?

You can refer to the step-by-step guide provided in this blog post. If you still encounter issues, you can reach out to the DragGAN community or check out the official DragGAN GitHub page for more information and assistance.

Can I run DragGAN on my CPU?

While it’s possible to run DragGAN on a CPU, it’s not recommended due to the high computational requirements of the tool. For optimal performance, it’s recommended to use a GPU.

How can I stay updated with DragGAN developments?

You can follow the official DragGAN GitHub page or join relevant online communities to stay updated with the latest developments and releases related to DragGAN.

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