GANSpace is an open-source tool for exploring and manipulating the latent space of Generative Adversarial Networks (GANs). It allows fast and interactive discovery of meaningful directions in a GAN’s latent space, enabling controlled image editing without retraining the model. GANSpace provides tools for visualizing, editing, and analyzing generated images efficiently, with a focus on interpretability, speed, and ease of use.

Features of GANSpace:

• Supports interactive latent space manipulation for pre-trained GAN models (e.g., StyleGAN, StyleGAN2).
• Enables discovery of interpretable directions corresponding to features like age, pose, expression, or hairstyle.
• Provides Python scripts and a GUI for embedding latent space editing capabilities in applications.
• Includes interactive tools for visualizing and editing generated images.
• Open-source and actively maintained, useful for research, creative projects, and understanding GAN behavior.
• Supports both command-line and Python-based workflows for ease of use.

To check the installed GANSpace environment and dependencies, run these commands in your terminal:

$sudo su
$sudo apt update 
$ source ganspace-venv/bin/activate
$ git log -1
$git --version

Disclaimer: GANSpace is released under the MIT License and maintained by the open-source community. Users are responsible for correct usage in their specific applications. The developers are not responsible for any consequences arising from its use. Always refer to the official GANSpace documentation and GitHub repository for the most accurate and up-to-date information.