Nvidia gives creatives an AI-powered lifeline that turns blobs into lifelike photos


Even the best artists sometimes have to use reference images, which can be frustrating when nothing correlates to the vision you’re trying to bring to life, but an unlikely hero has emerged to help. Nvidia has released its new Canvas app into free public beta, utilizing the GauGAN AI painting tool originally developed by Nvidia research back in 2019.

Canvas is being introduced into the Nvidia Studios family, allowing you to create photo-realistic images by doodling with a selection of environmental brushes like ‘stone’ and ‘sand’, revealing AI-generated imagery to the right of your own blotchy creation. You’ll need an Nvidia RTX graphics card like the GeForce RTX 3060 or RTX 3080 to use the application, but for those lucky enough to have access, this is a great tool for concept design and storyboards.

No skills required

“The tool allows artists to use style filters, changing a generated image to adopt the style of a particular painter,” NVIDIA explains. “NVIDIA Canvas isn’t just stitching together pieces of other images, or cutting and pasting textures, but creating brand new images, just like an artist would.”

The final result of playing around with this tool certainly simulates the appearance of a real-world photograph but as with most current AI-generated imagery, you can detect something isn’t completely natural about the completed landscape which makes this better suited to folk who will be using it as a reference image rather than to use raw in a project.

“It can also bring time savings to a range of creators and designers,” NVIDIA goes on. “Consider an art director on a time crunch who needs to refine the hero product in an ad campaign. A landscape will complete the shot. Using NVIDIA Canvas, the director is only a few clicks from generating several beautifully rendered images. In a matter of moments, the tool provides multiple options for the client to review, saving precious time before finalizing the featured product.”

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(Image credit: Nvidia)
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Nvidia canvas

(Image credit: Nvidia)



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