![]() ![]() “This starting point can then be customized with sketches to make a specific mountain taller or add a couple of trees in the foreground, or clouds in the sky.” An AI-generated image created with the phrase, “a tropical island with white sand beach view from above.” “Rather than needing to draw out every element of an imagined scene, users can enter a brief phrase to quickly generate the key features and theme of an image, such as a snow-capped mountain range,” NVIDIA says. NVIDIA says that compared to other state-of-the-art models specifically for text-to-image or segmentation map-to-image applications, GauGAN2 produces a greater variety and higher-quality set of images. The goal is to make it faster and easier to turn an artist’s vision into a high-quality AI-generated image. GauGan2 combines segmentation mapping, inpainting, and text-to-image generation in a single model which NVIDA says makes it a powerful tool to allow users to create photorealistic art with a mix of words and drawings. ![]() NVIDIA says that the demo is one of the first to combine multiple modalities within a single GAN network. An AI-generated image created with the phrase, “a peaceful lake surrounded by tall trees in a foggy day.”
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