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{"id":6430,"date":"2022-05-24T14:42:28","date_gmt":"2022-05-24T14:42:28","guid":{"rendered":"https:\/\/scienceandnerds.com\/2022\/05\/24\/all-these-images-were-generated-by-googles-latest-text-to-image-ai\/"},"modified":"2022-05-24T14:42:29","modified_gmt":"2022-05-24T14:42:29","slug":"all-these-images-were-generated-by-googles-latest-text-to-image-ai","status":"publish","type":"post","link":"https:\/\/scienceandnerds.com\/2022\/05\/24\/all-these-images-were-generated-by-googles-latest-text-to-image-ai\/","title":{"rendered":"All these images were generated by Google\u2019s latest text-to-image AI"},"content":{"rendered":"

Source: https:\/\/www.theverge.com\/2022\/5\/24\/23139297\/google-imagen-text-to-image-ai-system-examples-paper<\/a>
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There\u2019s a new hot trend in AI: text-to-image generators. Feed these programs any text you like and they\u2019ll generate remarkably accurate pictures that match that description. They can match a range of styles, from oil paintings to CGI renders and even photographs, and \u2014 though it sounds cliched \u2014 in many ways the only limit is your imagination.<\/p>\n

To date, the leader in the field has been DALL-E, a program created by commercial AI lab OpenAI (and updated just back in April<\/a>). Yesterday, though, Google announced its own take on the genre<\/a>, Imagen, and it just unseated DALL-E in the quality of its output. <\/p>\n

The best way to understand the amazing capability of these models is to simply look over some of the images they can generate. There\u2019s some generated by Imagen above, and even more below (you can see more examples at Google\u2019s dedicated landing page<\/a>). <\/p>\n

In each case, the text at the bottom of the image was the prompt fed into the program, and the picture above, the output. Just to stress: that\u2019s all it takes. You type what you want to see and the program generates it. Pretty fantastic, right? <\/p>\n

But while these pictures are undeniably impressive in their coherence and accuracy, they should also be taken with a pinch of salt. When research teams like Google Brain release a new AI model they tend to cherry-pick the best results. So, while these pictures all look perfectly polished, they may not represent the average output of the Image system. <\/p>\n

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