{"id":20408,"date":"2022-12-02T01:52:38","date_gmt":"2022-12-02T01:52:38","guid":{"rendered":"https:\/\/mailinvest.blog\/index.php\/2022\/12\/02\/new-betas-have-apple-silicon-optimizations-for-stable-diffusion-ai-art-generator\/"},"modified":"2022-12-02T01:52:38","modified_gmt":"2022-12-02T01:52:38","slug":"new-betas-have-apple-silicon-optimizations-for-stable-diffusion-ai-art-generator","status":"publish","type":"post","link":"https:\/\/mailinvest.blog\/index.php\/2022\/12\/02\/new-betas-have-apple-silicon-optimizations-for-stable-diffusion-ai-art-generator\/","title":{"rendered":"New betas have Apple Silicon optimizations for Stable Diffusion AI art generator"},"content":{"rendered":"

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AI on a Mac<\/p>\n


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According to an Apple engineer on the machine learning team, the newest beta updates for macOS Ventura<\/a>, iOS 16, and iPadOS will improve performance for the Stable Diffusion AI art generating routines. <\/p>\n

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Apple released macOS Ventura 13.1 beta four<\/a> for developers on Thursday, as well as betas for the company’s other<\/a> operating systems. <\/p>\n<\/div>\n

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A Twitter user named Atila, whose bio lists him as a machine learning tinkerer at Apple, tweeted about the new macOS Ventura beta. <\/p>\n<\/div>\n

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Today’s release of macOS Ventura 13.1 Beta 4 and iOS and iPadOS 16.2 Beta 4 include optimizations that let Stable Diffusion run with improved efficiency on the Apple Neural Engine as well as on Apple Silicon GPU<\/p>\n

\u2014 Atila @NeurIPS (@atiorh) December 1, 2022<\/a><\/p><\/blockquote><\/div>\n<\/div>\n

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He says the latest betas include optimizations that let Stable Diffusion run with improved efficiency on the Apple Neural Engine and the Apple Silicon GPU. <\/p>\n<\/div>\n

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Apple has shared sample code for neural network model conversions from PyTorch to the company’s Core ML system. They tested a baseline configuration of an M2 MacBook Air with 8GB of RAM, and it completed 50 iterations of the model in 18 seconds. <\/p>\n<\/div>\n

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For a “distilled” version of Stable Diffusion 2, an M2 device can generate an image in less than one second. <\/p>\n<\/div>\n

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Stable Diffusion is a text-to-speech machine-learning model that can be used for generating digital artwork. Users can type<\/a> something like “cat piloting a submarine” and the program will generate an image based on the text prompt. <\/p>\n<\/div>\n

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The speed of the generation varies on the prompt and the hardware that the code is being run on. <\/p>\n<\/div>\n

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Apple has a code repository on GitHub<\/a> to run Stable Diffusion on Apple Silicon with Core ML.<\/p>\n<\/div><\/div>\n