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Snap has unveil an AI text - to - image inquiry model for mobile devices that will power some of Snapchat ’s features in the coming months . The troupe say on Tuesday that the model can farm high - resolution images in around 1.4 seconds on an iPhone 16 Pro Max .
The new diffusion model runs entirely on the twist , which reduces computational costs compared to models that rely on magnanimous server . Snap notes that the modeling can create “ arresting ” ocular resultant role by “ transferring robust representation from large - scale diffusion models to this smaller and more efficient mannequin . ”
snatch up plan to bring the engineering science into product in the coming months to help power the app ’s AI Snaps , AI Bitmoji Backgrounds , and more .
The caller say that by implementing this in - mansion technology , it will be able-bodied to volunteer its residential area eminent - quality AI tools at a lower operating cost .
“ Snap has a prospicient account of research excellency in example optimisation and efficiency , ” the company aver in a web log post . “ We are inspired by the industry innovation that is making AI tools more effective , low-priced , and approachable and we count forth to continuing to bring to the rapid footstep of initiation , particularly for peregrine - first experiences . ”
The company did n’t apportion any further detail about the model but take note that it ’s the continuation of its recollective - terminal figure investment in AI and ML technologies .
While Snap has tapped AI tool from company likeOpenAIandGooglein the past to power some of its feature of speech , it has now debuted its own in - house AI poser that will permit it to offer up unique features to its users . It make sense for the company to invest in AI and acquire its own framework , particularly since virtually every technical school fellowship , let in Meta , has been doing so over the preceding few twelvemonth .
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Snap is schedule to release its Q4 2024 earnings report on Tuesday .
