Gaugan 2

Author: l | 2025-04-24

2 METHODOLOGY 2.1 Overview of GauGAN The CrackGauGAN model is built upon the GauGAN model [20], and it is necessary to explain the composition of the GauGAN model NVIDIA has presented GauGAN 2, a new updated version of their wildly popular GauGAN AI. The main feature of GauGAN 2 is its ability to turn a simple written phrase, or

GauGAN 2 Not working or accessible

New iteration trained on nearly 10 million imagesNvidia has unveiled an updated version of its GauGAN model, GauGAN2.GauGAN was a Microsoft Paint-style platform that let uses create landscape images, with the model then able to turn them into photorealistic images.The new GauGAN2 can generate images using only text.Users can type phrases like ‘winter,’ ‘foggy’ or ‘rainbow’ and the AI model can produce images that match the desired descriptors.“With the press of a button, users can generate a segmentation map, a high-level outline that shows the location of objects in the scene,” according to the Nvidia announcement.“From there, they can switch to drawing, tweaking the scene with rough sketches using labels like sky, tree, rock and river, allowing the smart paintbrush to incorporate these doodles into stunning images.”GauGAN2: Paint me a pictureThe original GauGAN dates back to 2019. It was trained on public images from the platform Flickr.The first version was trained on just over 1 million pictures. GauGAN2 however was trained on 10 times that and can understand natural language descriptions relating to landscapes.The first iteration of GauGAN was repackaged as Nvidia Canvas, a free app in beta for any RTX GPU user.The company’s newly released demo of GauGAN2 is “one of the first to combine multiple modalities (text, semantic segmentation, sketch and style) within a single GAN framework,” Nvidia said.“This makes it faster and easier to turn an artist’s vision into a high-quality AI-generated image.”The announcement does not mention any commercialization plans, or whether it will be integrated with Canvas, stating that the demo “illustrates the future possibilities for powerful image-generation tools for artists.”Nvidia’s GauGAN2 comes shortly after a myriad of unveilings at its recent GTC event.There, it showed off the Jetson AGX Orin, a small yet powerful compute module for AI workloads, Riva Custom Voice, a software platform that can create ‘human-like’ voices, and Omniverse Avatar, a platform for creating interactive three-dimensional representations of people.About the AuthorJr. EditorBen Wodecki is the Jr. Editor of AI Business, covering a wide range of AI content. Ben joined the team in March 2021 as assistant editor and was promoted to Jr. Editor. He has written for The New Statesman, Intellectual Property Magazine, and The Telegraph India, among others. He holds an MSc in Digital Journalism from Middlesex University.

Using Gaugan 2 tutorial - CGPress

Nvidia a récemment annoncé la sortie de la secondeversion de son intelligenceartificielle GauGAN. Celle-ci était déjà capable de transformerdes croquis en images photoréalistes. Elle peut désormais lesgénérer simplement à partir de mots ! Mettre en image ce qui se trouve dans nos têtes… C’est un peul’objectif de GauGAN. Cette dernière avait déjà proposé au publicune possibilité innovante, celle de générer des paysagesphotoréalistes à partie de croquis dessinés par l’utilisateur.Cette fois-ci, avec GauGAN2, les scientifiques ont choisi de fairela part belle aux mots. Avec leur nouveau système, il suffit dedécrire la scène que l’on veut voir apparaître en quelques mots,comme « coucher de soleil sur une plage », pour voir apparaître uneimage correspondant.Envie d’un coucher de soleil sur une montagne, sur des rochers,ou par temps de pluie ? Il suffit de le préciser pour faire évoluerle paysage. Et pour ses créateurs, l’IA peut même permettre dereprésenter des paysages fantastiques avec un peu de doigté : «Imaginez, par exemple, recréer un paysage de la planèteemblématique de Tatooine dans la franchise Star Wars, qui a deuxsoleils. Tout ce dont vous avez besoin est le texte ‘soleil dunesdésertiques’ pour créer un point de départ, après quoi lesutilisateurs peuvent rapidement esquisser un deuxième soleil».Après le passage par les mots, les utilisateurs sont en mesured’ajuster l’image à loisir. En cliquant sur un bouton, une «segmentation d’image » est créée. C’est à dire, une partition quiclassifie les pixels en différents éléments. À partir de là,l’utilisateur peut, en repassant par des phases de croquis, degommage, d’ajout d’éléments, influer sur l’image finale. Parexemple, il peut tracer grossièrement les contours d’un rocher enutilisant l’étiquette « rock », pour faire apparaître un rocher dela forme de son choix dans l’image de base. Le processus étantitératif, si des mots sont rajoutés, ils peuvent aussi êtreintégrés sous forme d’éléments concrets, en surcouche de l’imageexistante.Une intelligence artificielle basée sur le paysageUne base de 10 millions de paysages différents a été utiliséepour « entraîner » l’intelligence artificielle de Nvidia. Pour cefaire, ils ont créé un système de « réseau neuronal artificiel »propre au fonctionnement des IA. Concrètement, il s’agit d’unsystème inspiré du fonctionnement des neurones biologiques, quis’est ensuite rapproché des méthodes statistiques. L’intelligenceartificielle se « nourrit » d’un grand nombre de données pour enextraire des connexions logiques, et les traiter en vue d’unrésultat. La nourriture de cette IA-là a donc été trèspaysagère.Le modèle, explique Nvidia, est basé sur des réseauxantagonistes génératifs (ou generative adversarial network, d’où lenom GAN dans GauGAN). En résumé, il s’agit d’une classed’algorithme d’apprentissage non supervisé, qui est conçue pourgénérer des images réalistes. Son fonctionnement : deux réseauxsont placés comme « adversaires » et doivent en quelque sorte sedéfier. Le premier réseau génère un échantillon, dans le casprésent, une image. Son adversaire,

GauGAN 2 Not working or accessible - NVIDIA

Bass Tabs Artists: M Michael Jackson bass tabs Beat It (the Real Way) bass tabs ok for those of you who believe that you must tune your bass to drop d for this song ... listen to wut you are playing and then try and match it to0 the song ... no dice..tone deaf little weasles..anyway here is Beat it the right way.Chorus riff/intro riffG|———————————————————————————————————————————————————|D|—————————5—2——2——4—2——0—0—————————5—2——2——4—2——0———|A|———————2————————————————————————2——————————————————|E|———0—3————————————————————————0————————————————————|ok now here is the verse .. again i dont see why people insist on making things harder by sliding up the fret board but here is how i do it.G|—————————————————————————————————————————————————————————————|D|———2—2—2——0—0—0———2—2—2——0—0—0—————————0—0—0——2—2—2——0—0—0———|A|————————————————————————————————3—3—3————————————————————————|E|—————————————————————————————————————————————————————————————|play that 2 times then go into the chorus riff ok now after the second chorus the line goes like thisG|——————————————————————————————————————————————————————————————————————————————————————|D|——2—2—2——2—2—2——2—2—2——2—2—2——2—2—2——2—2—2——2—2—2——2—2—2——2—2—2——2—2—2——2—2—2——2—2—2——|A|——————————————————————————————————————————————————————————————————————————————————————|E|——————————————————————————————————————————————————————————————————————————————————————| |——————————————————————————————————————————————————————————————————————————————————————| |——2—2—2——2—2—2——2—2—2——0—0—0——2—2—2——0—0—0—————————0—0—0——2—2—2——0—0—0——2—2—2——0—0—0——| |————————————————————————————————————————————3—3—3—————————————————————————————————————| |——————————————————————————————————————————————————————————————————————————————————————| |——————————————————————————————————————————————————————————————————————————————————————| |—————————0—0—0——2—2—2——0—0—0——————————————————————————————————————————————————————————| |——3—3—3———————————————————————————————————————————————————————————————————————————————| |——————————————————————————————————————————————————————————————————————————————————————|then it goes back into the chorus riff for the rest of the song until it fades out ..and that is how you play beat it Other versions of Beat It. 2 METHODOLOGY 2.1 Overview of GauGAN The CrackGauGAN model is built upon the GauGAN model [20], and it is necessary to explain the composition of the GauGAN model

NVIDIA - GauGAN 2 - AI for landscape painting

L’autre réseau, essaie dedéterminer si l’échantillon proposé appartient à la réalité ou s’ila été conçu de toutes pièces par l’IA. Ce fonctionnement force doncl’IA à déployer des efforts pour se rapprocher au plus près duréel, et d’images plausibles.Cet outil de création étonnant pourrait être utilisé par desartistes, notamment pour créer des bases de référencescorrespondant exactement à leurs besoins. Selon l’explication deNvidia, l’objectif est aussi de permettre aux novices de créer despaysages à partir de presque rien.On l’a testé pour vous…Côté novices, la démonstration proposée pour le moment parNvidia sur son site internet n’est pas toujours satisfaisante. Lepassage des mots à l’image peut donner lieu à quelques surprises,comme ce petit ruisseau au milieu d’une forêt dense qui répondait àla demande « forest next to a lake », c’est-à-dire « forêt à côtéd’un lac »…Paysage généré par l’IA GauGAN2 pour la requête « Forest next to a lake »." data-medium-file=" data-large-file=" src=" généré par l’IA GauGAN2 pour la requête « Forest next to a lake »." data-medium-file=" data-large-file=" src=" alt="forest next to a lake gaugan" width="800" height="800" srcset=" 1024w, 300w, 100w, 916w, 500w, 293w, 472w, 569w, 764w, 949w, 390w" sizes="(max-width: 800px) 100vw, 800px" data-old-src="data:image/svg+xml,%3Csvg%20xmlns=' data-lazy-srcset=" 1024w, 300w, 100w, 916w, 500w, 293w, 472w, 569w, 764w, 949w, 390w" data-lazy-src=" généré par l’IA GauGAN2 pour une première requête« forest next to a lake ».Après quelques tentatives (en modifiant le style par le clic surl’icône de dés), il est pourtant effectivement possible d’obtenirdes images qui répondent à la demande paysagère. À noter que l’IAsemble avoir une préférence pour les paysages naturels.Nouvelle tentative pour « Forest next to a lake »." data-medium-file=" data-large-file=" src=" tentative pour « Forest next to a lake »." data-medium-file=" data-large-file=" src=" alt="forest next to a lake gaugan 2" width="800" height="800" srcset=" 1024w, 300w, 100w, 916w, 500w, 293w, 472w, 569w, 764w, 949w, 390w" sizes="(max-width: 800px) 100vw, 800px" data-old-src="data:image/svg+xml,%3Csvg%20xmlns=' data-lazy-srcset=" 1024w, 300w, 100w, 916w, 500w, 293w, 472w, 569w, 764w, 949w, 390w" data-lazy-src=" tentative pour « forest next to alake ».Les résultats obtenus pour les requêtes de type « ville avec desgratte-ciels » étaient parfois assez édifiants. Quant à intégrer denouveaux éléments en repassant par les croquis, l’essai n’a pas ététrès concluant malgré un certain acharnement de la part de votredévouée journaliste. GauGAN2 fait aussi parfois preuve d’unecertaine créativité dans l’assemblage de concepts qu’il met enimage. C’est ainsi que nous avons pu obtenir cette belle image, entête de l’article, digne des plus belles cartes postales,simplement en renseignant « beach village next to a hugeforest with big trees and clouds », soit, « village deplage paradisiaque à côté d’une immense forêt avec de grands arbreset des nuages » dans la barre de texte, puis en cliquantquelques fois sur les dés pour changer de style.Voir aussi| Pixabay"

NVIDIA’s GauGAN 2 Turns Words and Sentences into

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GauGAN 2 AI ตัวใหม่จาก Nvidia - OS

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Nvidia GAUGAN 2(AI Painting) - YouTube

Song facts: “Another One Bites The Dust” was Queen’s best-selling single. Harmonica type: diatonic 2 2 2 222 3 2 -3 3 -32 2 2 222 3 2 -3 3 -32 2 2 222 3 2 -32 2 2 222 3 2 -32 2 2 222 3 2 -32 2 2 222 3 2 -32 2 2 222 3 2 -35 5 5 5 -5 7 -35 5 5 5 -5 -35 5 5 5 -5 7 -3-3 -3 -3 -3' -4 2 2 2 222 3 2 -3 32 2 2 222 3 2 -32 2 2 222 3 2 -3-2" -4 -3-3-3 -2" 32 2 2 222 3 2 -32 2 2 222 3 2 -32 2 2 222 3 2 -3 3 -32 2 2 222 3 2 -35 5 5 5 -5 7 -35 5 5 5 -5 -35 5 5 5 -5 7 -3-3 -3 -3 -3' -4 2 2 2 222 3 2 -3 32 2 2 222 3 2 -32 2 2 222 3 2 -3 3 -3-2" -4 -3-3-3 -2" 32 2 2 222 3 2 -3 3 -32 2 2 222 3 2 -32 2 2 222 3 2 -32 2 2 222 3 2 -3 3 -35 5 5 5 -5 7 -35 5 5 5 -5 -35 5 5 5 -5 7 -3-3 -3 -3 -3' -4 2 2 2 222 3 2 -3 32 2 2 222 3 2 -32 2 2 222 3 2 -3 3 -3-2" -4 -3-3-3 -2" 32 2 2 222 3 2 -32 2 2 222 3 2 -3 3 -35 5 5 5 -5 7 -35 5 5 5 -5 -35 5 5 5 -5 7 -3-3 -3 -3 -3' -4. 2 METHODOLOGY 2.1 Overview of GauGAN The CrackGauGAN model is built upon the GauGAN model [20], and it is necessary to explain the composition of the GauGAN model NVIDIA has presented GauGAN 2, a new updated version of their wildly popular GauGAN AI. The main feature of GauGAN 2 is its ability to turn a simple written phrase, or

Como usar GauGAN 2 I Parte 2 - YouTube

Colin HayOverkillthis is how the body of the song is played. the G string is there as an option which i use just use two fingers (preferably 1st and 4th). this should be pretty close to the one the scrubs episode my ovwer kill. Enjoy!D D/C#e|-------------------------------------------------------------------------|B|-------------------------------------------------------------------------|G|-7---7---7---7---7---7---7---7---7---7---7---7---7---7---7---7-----------| optionalD|-7---7---7---7---7---7---7---7---7---7---7---7---7---7---7---7-----------|A|-5---5---5---5---5---5---5---5---4---4---4---4---4---4---4---4-----------|E|-------------------------------------------------------------------------| C C/Be|-------------------------------------------------------------------------|B|-------------------------------------------------------------------------|G|-5---5---5---5---5---5---5---5---5---5---5---5---5---5---5---5-----------|D|-5---5---5---5---5---5---5---5---5---5---5---5---5---5---5---5-----------|A|-3---3---3---3---3---3---3---3---2---2---2---2---2---2---2---2-----------|E|-------------------------------------------------------------------------| I can't get to sleepC C/BI think about the implicationsD D/C#Of diving in too deepC C/BAnd possibly the complicationsD D/C#Especially at nightC C/BI worry over situationsD D/C#I know will be alrightC C/BPerhaps its just my imagination Bme|-------------------------------------------------------------------------|B|-------------------------------------------------------------------------|G|-4---4---4---4---4---4---4---4---4---4---4---4---4---4---4---4-----------|D|-4---4---4---4---4---4---4---4---4---4---4---4---4---4---4---4-----------|A|-2---2---2---2---2---2---2---2---2---2---2---2---2---2---2---2-----------|E|-------------------------------------------------------------------------| Day after day it rea- Asus Ae|-------------------------------------------------------------------------|B|-3---x---x---3---x---x---3---x---2---x---x---2---3---2---2---2-----------|G|-2---2---2---2---2---2---2---2---2---2---2---2---2---2---4---2-----------|D|-2---2---2---2---2---2---2---2---2---2---2---2---2---2---2---2-----------|A|-0---0---0---0---0---0---0---0---0---0---0---0---0---0---0---0-----------|E|-------------------------------------------------------------------------| -ppears Bme|-------------------------------------------------------------------------|B|-------------------------------------------------------------------------|G|-4---4---4---4---4---4---4---4---4---4---4---4---4---4---4---4-----------|D|-4---4---4---4---4---4---4---4---4---4---4---4---4---4---4---4-----------|A|-2---2---2---2---2---2---2---2---2---2---2---2---2---2---2---2-----------|E|-------------------------------------------------------------------------| Night after night my heartbeat Asus Ae|-------------------------------------------------------------------------|B|-3---x---x---3---x---x---3---x---2---x---x---2---x---x---2---x-----------|G|-2---2---2---2---2---2---2---2---2---2---2---2---2---2---2---2-----------|D|-2---2---2---2---2---2---2---2---2---2---2---2---2---2---2---2-----------|A|-0---0---0---0---0---0---0---0---0---0---0---0---0---0---0---0-----------|E|-------------------------------------------------------------------------| sho------------------ws the fear F#sus4 F# Gmaj7e|-2---x---x---2---x---x---2---x---2---x---x---2---x---x---2---x---1-------|B|-2---2---2---2---2---2---2---2---2---2---2---2---2---2---2---2---3-------|G|-4---4---4---4---4---4---4---4---3---3---3---3---3---3---3---3---4-------|D|-4---4---4---4---4---4---4---4---4---4---4---4---4---4---4---4---x-------|A|-4---4---4---4---4---4---4---4---4---4---4---4---4---4---4---4---x-------|E|-2---2---2---2---2---2---2---2---2---2---2---2---2---2---2---2---3-------| Gho------------------------sts appe---------------ar and fade----- G/Ae|-3---3---3---3---3---3---3---3---3---3---3---3---3---3---3---------------|B|-0---0---0---0---0---0---0---0---0---0---0---0---0---0---0---------------|G|-0---0---0---0---0---0---0---0---0---0---0---0---0---0---0---------------|D|-0---0---0---0---0---0---0---0---0---0---0---0---0---0---0---------------|A|-0---0---0---0---0---0---0---0---0---0---0---0---0---0---0---------------|E|-x---x---x---x---x---x---x---x---x---x---x---x---x---x---x---------------| away------ Asus Ae|-------------------------------------------------------------------------|B|-3---x---x---3---x---x---3---x---2---x---x---2---x---x---2---x-----------|G|-2---2---2---2---2---2---2---2---2---2---2---2---2---2---2---2-----------|D|-2---2---2---2---2---2---2---2---2---2---2---2---2---2---2---2-----------|A|-0---0---0---0---0---0---0---0---0---0---0---0---0---0---0---0-----------|E|-------------------------------------------------------------------------| Come back anothe---r day{Solo} played over the verse/Chorus-chords{verse 2}I can't get to sleepI think about the implicationsOf diving in too deepAnd possibly the complicationsEspecially at nightI worry over situationsI know will be alrightIt's just overkill{Chorus}Day after day it reappearsNight after night my heartbeat, shows the fearGhosts appear and fade awayGhosts appear and fade away

Gaugan tutorial. Create amazing pictures with Gaugan. NVIDIA

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The absurd beauty of hacking Nvidia's GauGAN 2 AI

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