Achieve Stunning Results with Dragon Gan Inversion on Custom Images

Table of Contents

1. Introduction
2. Using Dragon on Custom Images
   1. Choosing the Custom Image
   2. Setting up Google Colab
   3. Uploading and Running the Code
3. Converting PT File to PKL Model
4. Running PTI Collab Notebook
   1. Cloning the Repository
   2. Mounting Google Drive
   3. Downloading Models and Installing Dependencies
   4. Modifying the Code
   5. Running The Visualizer
5. Conclusion

Using Dragon on Custom Images

In this Tutorial, I will show you how to use Dragon, the official code, to perform Gan inversion on custom images. Whether you are using Windows, Linux, or Mac OS, you can follow along with this step-by-step guide. To get started, make sure you have a custom image in mind that you would like to perform Gan inversion on. In this example, we will be using an image of Sonam, a Punjabi actress. Additionally, you will need to access the official Google Colab of the PTI code, which I will provide a link to in the description.

Choosing the Custom Image

To begin, select the custom image you want to use for the Gan inversion. In our case, we have chosen an image of Sonam, a Punjabi actress. This image will serve as the input for the Gan inversion process.

Setting up Google Colab

To run the Gan inversion process, you will need to set up Google Colab. In the description, you will find a link to the official Google Colab for the PTI code. Click on the link and follow the steps to connect to the runtime and ensure that the GPU is selected.

Uploading and Running the Code

After setting up Google Colab, you will need to upload the necessary files and run the code for the Gan inversion. In the PTI folder, you will find the "stylegan2_custom_512.pth" file, which contains the custom model weights. Upload this file to your Google Drive.

Next, locate the "embeddings_image.pt" file and upload it to your Google Drive. This file contains the latent vector for the custom image.

Once the files are uploaded, you can run the necessary cells in the Colab notebook to execute the Gan inversion process. Make sure to follow the steps in order, as outlined in the notebook.

Converting PT File to PKL Model

Before we can proceed with the Gan inversion process, we need to convert the PT file to a PKL model. To do this, we have provided a code snippet in the issues section of the PTI repository. You can find the link to this code in the description.

By following the provided code, you can convert the PT file to a PKL model. This conversion is necessary for the Gan inversion process to work correctly.

Running PTI Collab Notebook

Now that we have set up Google Colab and converted the PT file to a PKL model, we can proceed with running the PTI Collab notebook. In this section, I will guide you through the necessary steps to achieve Gan inversion on custom images.

Cloning the Repository

First, you will need to clone the PTI repository in Google Colab. By clicking on the first cell in the notebook, you can easily clone the repository and access the required files.

Mounting Google Drive

To access the uploaded files from Google Drive, you will need to mount your Google Drive to the Colab notebook. Click on the third cell in the notebook to change the directory and ensure that the necessary files are accessible.

Downloading Models and Installing Dependencies

Next, you will need to download the required models and install the necessary dependencies. While this step is optional, it is recommended to ensure that all the required files and packages are in place.

Modifying the Code

In order to run the Gan inversion on custom images, we need to make a few modifications to the code. First, locate the model name and replace it with the name of your custom model. Additionally, modify the line of code that specifies the W pivot file to match the location of your uploaded "0.pt" file.

Running the Visualizer

Finally, we can run the visualizer to perform the Gan inversion on the custom image. After a few minutes, a public URL will be generated. Click on the link to view the final Gan inverted image.

Conclusion

In this tutorial, we have learned how to use Dragon, the official code, to perform Gan inversion on custom images. By following the step-by-step instructions, you can successfully achieve Gan inversion on any custom image of your choice. Experiment with different images and see the amazing results that Dragon can produce. Happy coding!

Highlights:

• Learn how to use Dragon for Gan inversion on custom images
• Step-by-step instructions for setting up Google Colab and running the code
• Convert PT file to PKL model for Gan inversion
• Modify the code for running the PTI Collab notebook
• Achieve stunning results with Gan inversion on custom images

FAQ:

Q: Can I use Dragon on any custom image? A: Yes, Dragon can perform Gan inversion on any custom image of your choice. Just make sure to follow the steps correctly.

Q: Is it necessary to convert the PT file to a PKL model? A: Yes, converting the PT file to a PKL model is necessary for the Gan inversion process to work properly.

Q: Can I modify the code for my specific use case? A: Yes, you can modify the code according to your specific requirements. Just make sure to follow the guidelines provided in the tutorial.

Q: Are there any limitations to using Dragon on custom images? A: While Dragon is a powerful tool, it may not always produce perfect results. Experimentation and fine-tuning may be necessary to achieve the desired outcome.