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A deep learning model that creates realistic images based on a simple phrase.

About GauGAN2 by NVIDIA

GauGAN2 is a GAN (Generative Adversarial Network) model that merges various modalities such as text, semantic segmentation, sketches and styles into a single framework. This allows users to take an artist's concept and turn it into a high-quality AI-generated image.

Using GauGAN2, users can input a short description to quickly create an image's key features and theme. As an example, NVIDIA gives the phrase of a snow-covered mountain range, which can then be altered with drawings to make a particular mountain higher, add a few trees, or other alterations in the foreground, or clouds in the sky.

Although GAUGAN2 is still in its early stages of development, with the help of a limited data set, it has already shown potential to revolutionize asset creation in movies and games with its photorealistic landscapes and objects created with very little user input.


Discaimer: GauGAN2 doesn't use GPT-3

GauGAN2 by NVIDIA screenshots

GauGAN2 by NVIDIA - screen 1

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