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The NVIDIA Canvas App: An Introduction Guide to AI Art

NVIDIA Canvas App

This article is a part of the  AI Decoded series, which shows off new RTX  PC hardware, software, tools, and accelerations while demystifying  AI by making the technology more approachable.

AI has totally changed as a result of generative models, which are highlighted by well-known apps like Stable Diffusion and ChatGPT.

Foundational AI models and generative adversarial networks (GANs) spurred a productivity and creative leap, paving the stage for this explosion.

One such model is NVIDIA’s GauGAN, which drives the NVIDIA Canvas app and use AI to turn crude sketches into stunning artwork.

NVIDIA Canvas

AI may be used to create realistic landscape photographs from basic brushstrokes. Make backgrounds fast, or explore concepts more rapidly so you may devote more time on idea visualisation.

Utilise  AI’s Potential

Utilise a palette of realistic elements, such as grass or clouds, to paint basic forms and lines. Next, observe in real time how the screen is filled with jaw-dropping outcomes thanks to NVIDIA’s ground-breaking  AI model. Dislike what you observe? Change the material from snow to grass, and observe how the whole scene transforms from a wintry paradise to a tropical paradise. There are countless innovative options.

Adaptable Styles

With NVIDIA Canvas app, you can alter your image to precisely what you require. Using nine Standard Mode styles, eight Panorama Mode styles, and a variety of materials from sky and mountains to rivers and stone you may alter the appearance and feel of your painting. Additionally, you can paint on many levels to distinguish distinct elements. One of the included sample scenarios can serve as inspiration, or you can start from scratch.

A Whole 360° Inspiration

With the addition of 360° panoramic functionality, artists can now quickly construct wraparound environments with Canvas and export them as equirectangular environment maps into any 3D application. These maps can be used by artists to alter the surrounding lighting in a 3D scene and add reflections for more realism.

Save as PSD or EXR

After you’ve produced the perfect image, Canvas allows you to upload it into Adobe Photoshop for further editing or blending with other pieces of art. Additionally, pictures can be imported into Blender, NVIDIA Omniverse USD Composer (previously Create), and other 3D programmes using Panorama.

How Everything Started

A generator and a discriminator are two complementing neural networks used in deep learning models called GANs.

There is competition between these neural networks. While the discriminator strives to distinguish between created and actual imagery, the generator aims to produce realistic, lifelike imagery. GANs get increasingly adept at producing realistic-looking samples as long as their neural networks continue to challenge one another.

GANs are excellent at deciphering intricate data patterns and producing output of the highest calibre. Applications for them include data augmentation, style transfer, image synthesis, and picture-to-image translation.

NVIDIA’s  AI demonstration for creating lifelike images is called GauGAN, after the post-Impressionist painter Paul Gauguin. Developed by NVIDIA Research, it served as a direct inspiration for the creation of the NVIDIA Canvas app and is available for free download via the NVIDIA  AI Playground.

NVIDIA AI Playground

Use NeVA to Unlock Image Insights

A multimodal vision-language model called NVIDIA NeMo Vision and Language Assistant (NeVA) can comprehend text and images and provide insightful answers.

Create Text-Based Images with SDXL

With shorter prompts, Stable Diffusion XL (SDXL) enables you to create expressive visuals and add text to photos.

Handle AI Models Real-Time

With the AI Playground on NGC, you can easily experiment with generative AI models like NeVA, SDXL, Llama 2, and CLIP right from your web browser thanks to its user-friendly interface.

Since its 2019 NVIDIA GTC premiere, GauGAN has gained enormous popularity and is utilised online by millions of people in addition to art educators, creative agencies, and museums.

Adding Sketch to Gogh’s Scenery

With the help of GauGAN and nearby NVIDIA RTX GPUs, NVIDIA Canvas app employs  AI to convert basic brushstrokes into lifelike landscapes, with real-time outcomes displayed.

Using a palette of real-world objects like grass or clouds referred as in the app as “materials” users can begin by drawing basic lines and shapes.

The improved image is then produced in real time by the  AI model on the other side of the screen. A few triangle shapes drawn with the “mountain” material, for instance, will appear as an amazing, lifelike range. Alternatively, users can choose the “cloud” material and change the weather from sunny to cloudy with a few mouse clicks.

There are countless innovative options. Draw a pond so that the water will reflect other visual features like the rocks and trees. When the material changes from snow to grass, the scene becomes a tropical paradise instead of a warm winter’s environment.

With Canvas’s Panorama mode, artists may produce 360-degree pictures that can be used in 3D applications. Greenskull  AI, a YouTuber, painted a cove in the ocean to illustrate Panorama mode before importing it into Unreal Engine 5.

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Got RTX on?

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Robot family 🤖 at GTC 2017. HSA and Bibot surrounded by Pepper, Starship and R1 ! #realcoolrobots #gtc2017 #gpus #therobotstudio #the_robot_studio #pepper #pepperrobot #starshiprobots #r1robot #familypictures #familypicture #nvidia #nvidiagtc #nvidiajetson #nvidiajetsontx2 #munich (à ICM International Congress Center München) https://www.instagram.com/p/BvixNRWH7G6/?utm_source=ig_tumblr_share&igshid=az6vtgcg403l

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GTC21 November links

Demo: https://reg.rainfocus.com/flow/nvidia/nvidiagtc/ap2/page/sessioncatalog/session/1634952903739001la16

Talk: https://events.rainfocus.com/widget/nvidia/nvidiagtc/sessioncatalog/session/16293862783680010eY7

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Join the Unreal Engine team at @NVIDIAGTC from April 12-16 for an action-packed schedule of presentations covering the latest developments in real-time visualization. Ready to be inspired? Take a look at what’s on the agenda for #GTC21: https://t.co/kvSWogtfhh #UE4 (via Twitter http://twitter.com/UnrealEngine/status/1379858522108747779) #UnrealEngine #UnrealEngine4 #GameEngine

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@Neurala is ready to talk about Brain Builder at NVIDIA GTC. Come see us! We’re right by the lounge! #nvidiagtc https://ift.tt/2Y4Jq5k

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GTC21 November

See whats new with Iray within this IndeX session: https://events.rainfocus.com/widget/nvidia/nvidiagtc/sessioncatalog?search=A31223

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