Nvidia gaugan beta
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NVIDIA GauGAN Beta. AI painting generation software NVIDIA GauGAN Beta is a tool launched by the NVIDIA team that uses AI deep learning to create images that look like
NVIDIA GauGAN Beta Test - YouTube
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.
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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,Nvidia gaugan beta Jobs, Employment - Freelancer
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Navigation: Home \ Vista Drivers \ Graphics Board \ Nvidia \ Nvidia GeForce Release 179.28 for Notebooks Vista X32 (Beta) Download Nvidia GeForce Release 179.28 for Notebooks Vista X32 (Beta) Scan & auto update all outdated drivers on your PC Driver Description: ... 256MB dedicated graphics memory (this driver package installs NVIDIA PhysX System Software v8.09.04).Experience CUDA and NVIDIA PhysX in several free applications and demos by downloading ... computing application. Download the high performance client for NVIDIA GPUs in the homepage and join the NVIDIA team: #131015Supported products:GeForce 9800M GTX GeForce 9800M GTS GeForce 9800M GT GeForce 9800M GS GeForce 9700M GTS GeForce 9700M GT GeForce 9650M GT GeForce 9650M GS GeForce 9600M GT GeForce 9600M GS GeForce 9500M GS GeForce 9500M G GeForce 9300M GS GeForce 9300M G GeForce 9200M GS GeForce 9200M GE GeForce 8800M GTX GeForce 8800M GTS GeForce 8800M GS GeForce 8700M GT GeForce 8600M GT GeForce 8600M GS GeForce 8400M G GeForce 8400M GS GeForce 8400M G GeForce 8200M G The following notebooks are not supported in this release: Hybrid SLI notebooks (these notebooks will be supported in an upcoming release): Acer Aspire 7530 BenQ Joybook S42 Fujitsu Siemens Amilo Xi 3650 MSI EX630 Qosmio X305-Q706 Qosmio X305-Q708 Dell Vostro notebooks (please contact the notebook OEM for driver support for these notebooks)Lenovo ThinkPad notebooks (please contact the notebook OEM for driver support for these notebooks)Sony VAIO notebooks (please contact the notebook OEM for driver support for ... Driver Info Best Vista Download periodically updates driver information of Nvidia GeForce Release 179.28 for Notebooks Vista X32 (Beta) from the manufacturer, but some information may be out-of-date. You should confirm all information. Download of Nvidia GeForce Release 179.28 for Notebooks Vista X32 (Beta) Vista driver is directly from our mirrors or manufacturer's website, torrent files or shared files from rapidshare, yousendit or megaupload are not allowed! Website: Nvidia homepage Released: December 30, 2008 Filesize: 123.00 MB System: Windows Vista Top nvidia physx software Vista drivers in Nvidia drivers NVIDIA GeForce Graphics Driver 372.54 64-bit driver ... Black Ops III] Illegal instruction crashes occur on NVIDIA hardware. [1702129] - [Quadro K5000, Windows 10 x64] ... - good - TotalWar: Warhammer - good Software Module Versions: - NView - 148.03 - ... Driver Details Driver DownloadNVIDIA GauGAN Beta Nono Mart nez Alonso
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Two days ago we posted an internal public beta of Afterburner 4.6.0 Beta 10 (build14218) in the forums. The beta was intended for experienced users, forum regulars but not for the public masses. Unfortunately, some websites posted this beta as ‘viral news’ and started deeplinking towards the download binary.Gents, this is a public beta, but it is just that, an early beta. Considering the binary is spreading fast I decided to move the beta towards a public beta on the download pages so you can securely and safely download it from Guru3D. The new beta holds V/F curve support for AMD cards, OC Scanner for Pascal GPUs, new monitoring GUI enhancements and much, much more. have a read in the changes list.DownloadAfterBurner v4.6.0 beta 10Added NVIDIA Turing GPU architecture support:Added voltage control for reference design NVIDIA GeForce RTX 20×0 series graphics cardsAdvanced GPU Boost control for NVIDIA GeForce RTX 20×0 series graphics cards. Extended voltage/frequency curve editor on GeForce RTX 20×0 family graphics cards allows you to tune additional piecewise power/frequency floor and temperature/frequency floor curves. Control points on those new curves allow you to control GPU Boost power and thermal throttling algorithms more precisely than traditional power limit and thermal limit sliders Hardware abstraction layer has been revamped to provide support for multiple independent fans per GPU due to introducing dual fan design on reference design NVIDIA GeForce RTX 20×0 series graphics cards and due to introducing native dual fan control in NVAPI. Both fans of NVIDIA GeForce RTX 20×0 can be monitored independently in hardware monitoring module now and can be controlled synchronically in manual modeAdded NVIDIA Scanner technology supportAdded Monolithic Power Systems MP2884A and MP2888A voltage controllers supportAdded core, memory, auxiliary PEXVDD and auxiliary 1V8 voltage control for custom design MSI RTX 2080Ti Lightning series graphics cards with MP2888A + MP2888A +uP1816 voltage regulators Added VRM and VRM2 temperature monitoring for custom design MSI RTX 2080Ti Lightning series graphics cardsImproved hardware monitoring module:Added thermal offset for CPU temperature monitoring on AMD Ryzen 7 2700X processorsSimilar CPU temperatures are now cloned for all cores on AMD CPUs to provide more convenient and unified On-Screen Display layout between Intel and AMD CPUs“Pagefile usage” graph in hardware monitoring module has been renamed to “Commit charge”Added group operation notifier to the caption of active hardware monitoring graphs list in “Monitoring” tab in the application properties. The notifier is informing you thatNVIDIA GAUGAN TUTORIAL NVIDIA - YouTube
Nvidia GeForce Driver Release 182.05 Beta for XP64 ... SLI support on SLI-certified Intel X58-based motherboards.Supports NVIDIA PhysX acceleration on a dedicated GeForce graphics card. Use ... for graphics and dedicate a different card for PhysX processing for game-changing physical effects. Learn more homepage. ... Nvidia GeForce Driver Release 182.06 WHQL for Vista64 ... SLI support on SLI-certified Intel X58-based motherboards.Supports NVIDIA PhysX acceleration on a dedicated GeForce graphics card. Use ... for graphics and dedicate a different card for PhysX processing for game-changing physical effects. Learn more homepage. ... Nvidia GeForce Display Driver 185.68 Beta for XP64 ... GeForce Plus Power Pack #3. Download these FREE PhysX and CUDA applications now!Numerous bug fixes. Refer to ... X58-based motherboards.Includes full support for OpenGL 3.0.Supports NVIDIA PhysX acceleration on a dedicated GeForce graphics card. Use ... Nvidia GeForce/ION Display Driver 185.85 WHQL for XP64 ... Mirror’s Edge with antialiasing enabledAutomatically installs the new PhysX System Software version 9.09.0408.Supports GeForce Plus Power Pack #3. Download these FREE PhysX and CUDA applications now!Numerous bug fixes. Refer to ... X58-based motherboards.Includes full support for OpenGL 3.0.Supports NVIDIA PhysX acceleration on a dedicated GeForce graphics card. Use ... Nvidia GeForce/ION Driver 190.38 Beta for XP64 ... DirectX 10, and OpenGL. * Installs PhysX System Software version 9.09.0428. * Supports NVIDIA PhysX acceleration on a dedicated GeForce graphics card. Use ... for graphics and dedicate a different card for PhysX processing for game-changing physical effects. Learn more here. ... NVIDIA GeForce Graphics Driver 355.82 64-bit ... Audio Driver - version 1.3.34.3 - NVIDIA PhysX System Software - version 9.15.0428 - GeForce Experience - version 2.5.13.6 - CUDA - version 7.5 Windows 8.1/Windows 8/Windows .... NVIDIA GauGAN Beta. AI painting generation software NVIDIA GauGAN Beta is a tool launched by the NVIDIA team that uses AI deep learning to create images that look likeNvidia Gaugan / Nvidia AI Playground
By Noweol 24-10-2011 18:42:11) Noweol Beta Tester Offline Thanks: 133Thanks for the post: 1 Re: SVPmark 3 Дровишки nVidia 285.62 вышли. Производительность на том же уровне. Похоже, можно не ждать, что nVidia пофиксят производительность. 144 Reply by NightFox 24-10-2011 21:41:19 NightFox Beta Tester Offline Thanks: 42 Re: SVPmark 3 Noweol wrote:Дровишки nVidia 285.62 вышли. Производительность на том же уровне. Похоже, можно не ждать, что nVidia пофиксят производительность.А никто тему на их форуме не заводил? 145 Reply by Noweol 25-10-2011 10:31:23 Noweol Beta Tester Offline Thanks: 133 Re: SVPmark 3 146 Reply by Chainik 25-10-2011 11:42:18 Chainik SVP developer Offline Thanks: 1661 Re: SVPmark 3 Ну значит это 100% не проблема SVP, что радует 147 Reply by Rimsky 25-10-2011 11:47:32 Rimsky Beta Tester Offline Thanks: 299 Re: SVPmark 3 это что, новыми дровишками намекают на покупку килобаксовых тесла? 148 Reply by MAG79 27-10-2011 00:57:22 MAG79 SVP developer Offline Thanks: 1106 Re: SVPmark 3 В соседней ветке проскочила информация, что скорость OpenCL в драйверах nVidia 285.62 ничуть не медленнее, чем 275.33.Прямого сравнения я не нашел. Вот таблица сравнения сентябрьского и октябрьского замера скорости участником pentax.Видно, что скорость передачи данных на GPU увеличилась, остальные показатели чуть снизились (по сравнению с неизвестным мне драйвером nVidia), общий бал остался на месте (-1% можно списать на погрешность измерений).Подробности этих замеров см. в выборке по пользователю pentax из он-лайн таблицы результатов.Ждем комментариев владельцев GTS 250 и других карт nVidia, и конечно же, pentax. Post's attachmentsSVPmark_results_pentax.png 8.65 kb, 705 downloads since 2011-10-26 149 Reply by Noweol 27-10-2011 04:38:02 Noweol Beta Tester Offline Thanks: 133 Re: SVPmark 3 как-то неравномерно производительность OpenCL cнижается. У кого-то на 4% (GTS 250), у кого-то 35% (GTX 480, ссылка на nVidia форум выше)... Ничё не понимаю. Я думал раньше, что, чем слабее видяйка, тем сильнее потери производительности. Но, похоже, тут вообще какой-то хаос. 150 Reply by pentax 27-10-2011 05:41:04 (edited by pentax 27-10-2011 19:18:51) pentax Member Offline Thanks: 38Thanks for the post: 1 Re: SVPmark 3 Это с драйвером 275.33Test summary----------------------- Date: 2011-10-27T09:36:53 CPU: AMD Athlon II X2 245 @3190 MHz [2 threads] GPU: NVIDIA GeForce GTS 250 Mode: HD + GPU [5Comments
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.
2025-04-25Nvidia 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,
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