Easy Guide: Install Drag Your Gan Locally

Easy Guide: Install Drag Your Gan Locally

Table of Contents

  1. Introduction
  2. What is Dragon?
  3. System Requirements
  4. Installing Dragon Locally
    1. Clone the Dragon Repository
    2. Modify the environment.yaml File
    3. Create the Conda Environment
    4. Activate the Environment
    5. Install the Requirements
    6. Download the Models
    7. Start the GUI
  5. Troubleshooting
  6. Conclusion

Installing and Using Dragon Locally on Linux Terminal

Dragon is a Generative AI image editor that allows users to manipulate images by simply dragging and dropping and tweaking the points. If You're interested in trying out this powerful tool on your Linux terminal, this article will guide you through the installation and usage process.

What is Dragon?

Dragon is a generative AI image editor that simplifies the image manipulation process. By dragging and extending points, users can alter and enhance images. Whether you want to retouch photos or create stunning visual effects, Dragon offers a user-friendly interface and a range of tools to achieve your desired results.

System Requirements

Before diving into the installation process, it's important to ensure that your system meets the necessary requirements. To run Dragon smoothly on your Linux terminal, you should have:

  • Linux operating system
  • At least 12GB of memory with a GPU
  • 20GB of disk space to download the models

Note: Dragon is primarily designed for use with AWS G4 DNX large instance. However, it may also work on other Linux systems with the specified requirements.

Installing Dragon Locally

To install Dragon locally on your Linux terminal, follow these steps:

1. Clone the Dragon Repository

First, clone the Dragon repository by using the following command:

git clone [repo_URL]

Replace [repo_URL] with the URL of the Dragon repository, which can be found on the repository's page. Once the cloning process is complete, navigate to the Dragon directory.

2. Modify the environment.yaml File

In the Dragon directory, locate the environment.yaml file. Open the file and make the following changes:

  • Change the code toolkit version from 11.1 to 11.3.1.
  • Move the line Scipy==1.11.0 from the dependency section to the PIP section.

Save the changes to the environment.yaml file.

3. Create the Conda Environment

To create the Conda environment, run the following command:

conda env create -f environment.yaml

Please note that the environment creation process may take some time, and it might also fail occasionally. Be patient and retry if necessary.

4. Activate the Environment

After the environment creation is successful, activate the Conda environment by using the following command:

conda activate dragon

5. Install the Requirements

Next, install the required packages by running the following command:

pip install -r requirements.txt

This command will install all the necessary dependencies for Dragon. It may take some time, depending on your system and internet speed.

6. Download the Models

Dragon requires a set of models for different types of image manipulation. To download the models, execute the following command:

python download_models.py

This command will download the required models to your local system.

7. Start the GUI

To start the Dragon GUI, use the following command:

python -m visgui.dragan

If you encounter any issues with the Mentioned command, try substituting it with the command shown above. This command will provide you with a URL that you can open in your browser.

If you are using AWS SageMaker notebook, replace test.example.com with your notebook URL, and add /proxy/7860 to the end of the URL. This allows you to access Dragon as a localhost on your AWS SageMaker notebook.

Whether you are using the localhost or AWS SageMaker notebook, you should now be able to see the Dragon GUI on your screen. Here, you can start exploring and manipulating images using this powerful tool.

Troubleshooting

As with any software, you may encounter some issues during the installation and usage of Dragon. Here are a few troubleshooting tips:

  1. Make sure you have followed all the installation steps correctly, including modifying the environment.yaml file.
  2. Double-check that your system meets the minimum requirements, including having enough memory and disk space.
  3. If the installation or any step fails, retry the process or Seek help from the Dragon repository's contributors.
  4. Keep an eye on the repository for any updates, bug fixes, or improvements.

Conclusion

Dragon is an impressive tool that empowers users to manipulate images creatively. By following the installation steps outlined in this article, you should be able to set up and use Dragon locally on your Linux terminal. Remember to have patience and refer to the Dragon repository for updates and support. Get ready to unleash your creativity with Dragon!

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