{"id":230431,"date":"2023-05-18T06:10:13","date_gmt":"2023-05-18T10:10:13","guid":{"rendered":"https:\/\/sftarticles.wpenginepowered.com\/es\/?p=289777"},"modified":"2025-07-01T19:10:47","modified_gmt":"2025-07-02T02:10:47","slug":"nvidia-launches-perfusion-ai-generating-images-amazing-results","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/nvidia-launches-perfusion-ai-generating-images-amazing-results\/","title":{"rendered":"Revolutionizing Imaging Technology: Nvidia Unveils Perfusion, an AI with Extraordinary Results"},"content":{"rendered":"\n

When it comes to generating images automatically based on your own ideas<\/a>, the two most popular artificial intelligences among users are DALL-E 2<\/a><\/strong> and Midjourney<\/a><\/strong>. Both are tools capable of creating images with astonishing quality, to the point where they can appear real<\/a>.<\/p>\n\n\n

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\r\n \"DALL-E\r\n <\/div>\r\n
\r\n DALL-E 2<\/span>\r\n ACCESS<\/a>\r\n <\/div>\r\n
\r\n <\/path><\/path><\/text><\/svg>\r\n <\/div>\r\n <\/div>\r\n
\r\n <\/span>\r\n <\/div>\r\n
\r\n \r\n <\/div>\r\n <\/a>\r\n <\/div>\r\n<\/div>\n\n\n\n

Now, a heavyweight in the technology industry wants to compete head-to-head with these popular AIs and has launched its own image-generating artificial intelligence. Nvidia<\/strong>, the company known for creating graphics cards for PCs, has developed Perfusion<\/a><\/strong>, an AI that allows the creation of images from natural language descriptions.<\/p>\n\n\n\n

By simply inputting the image we want to generate using text, Perfusion will produce an image that closely matches the given instructions<\/strong>. Yes, the result will be “approximate” as it is not a perfect image-generating AI (currently, none are).<\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

Despite Perfusion not being perfect (yet), the results obtained through this AI seem to be more accurate than those of its competitors. Nvidia’s artificial intelligence is based on Stable Diffusion<\/a><\/strong>, a language model created by LMU Munich<\/strong> and Runway<\/strong>, but it includes certain mechanisms that simultaneously generate multiple concepts in new images.<\/p>\n\n\n\n

Perfusion offers users the ability to combine different customized elements with a set of images<\/strong> that function as concepts, thus creating images with much greater precision than other image generators by having greater control in the generation process.<\/p>\n\n\n

\r\n
\r\n
\r\n
\r\n \"Midjourney\"\r\n <\/div>\r\n
\r\n Midjourney<\/span>\r\n ACCESS<\/a>\r\n <\/div>\r\n
\r\n <\/path><\/path><\/text><\/svg>\r\n <\/div>\r\n <\/div>\r\n
\r\n <\/span>\r\n <\/div>\r\n
\r\n \r\n <\/div>\r\n <\/a>\r\n <\/div>\r\n<\/div>\n\n\n\n

Nvidia is fully immersed in the world of AI. In addition to Perfusion, Nvidia has also developed Omniverse Audio2Face<\/a><\/strong>, a tool that enables the generation of 3D animations from audio. Furthermore, it has been known since the beginning of the year that the company is developing AI-driven drivers<\/strong> to optimize the performance of its graphics cards.<\/p>\n\n\n\n

Some of the links added in the article are part of affiliate campaigns and may represent benefits for Softonic.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Nvidia has presented Perfusion, a new artificial intelligence capable of generating images with more promising results than those of the competition.<\/p>\n","protected":false},"author":9256,"featured_media":230434,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wpcf-pageviews":1},"categories":[1015],"tags":[4272,4273],"usertag":[],"vertical":[],"content-category":[],"class_list":["post-230431","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-app-subdomain-redirectiondall-e-2","tag-app-subdomain-redirectionmidjourney"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/230431","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/users\/9256"}],"replies":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/comments?post=230431"}],"version-history":[{"count":1,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/230431\/revisions"}],"predecessor-version":[{"id":320251,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/230431\/revisions\/320251"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media\/230434"}],"wp:attachment":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media?parent=230431"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/categories?post=230431"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/tags?post=230431"},{"taxonomy":"usertag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/usertag?post=230431"},{"taxonomy":"vertical","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/vertical?post=230431"},{"taxonomy":"content-category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/content-category?post=230431"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}