{"id":502756,"date":"2023-02-27T12:36:00","date_gmt":"2023-02-27T17:36:00","guid":{"rendered":"https:\/\/www.lightstalking.com\/?p=502756"},"modified":"2023-02-28T00:45:18","modified_gmt":"2023-02-28T05:45:18","slug":"qualcomm-demonstrates-groundbreaking-on-device-ai-image-generation-using-stable-diffusion","status":"publish","type":"post","link":"https:\/\/www.lightstalking.com\/qualcomm-demonstrates-groundbreaking-on-device-ai-image-generation-using-stable-diffusion\/","title":{"rendered":"Qualcomm Demonstrates Groundbreaking On-Device AI Image Generation Using Stable Diffusion"},"content":{"rendered":"\n<p>Artificial intelligence continues to advance by leaps and bounds as Qualcomm\u2019s demonstration of a world-first on-device AI image-generating feature using full stack optimization drives home the tech revolution sweeping the world and promising to revolutionize multiple industries in its wake.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/www.lightstalking.com\/wp-content\/uploads\/2mer-da7mic-compress.jpg\" alt=\"Hand holding Android smartphone with prominent lenses\" class=\"wp-image-502757\"\/><figcaption class=\"wp-element-caption\">Hand holding Android smartphone with prominent lenses. Photo by Zana Latif<\/figcaption><\/figure>\n\n\n\n<p>As Qualcomm explains in their blog post detailing the advancement, one popular method used to create generative <a href=\"https:\/\/www.lightstalking.com\/ai-and-the-trillion-dollar-lawsuit\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI platforms<\/a> is the foundation model which leverages a massive neural network trained on reams of data. Qualcomm has taken that network process and placed it on an Android smartphone instead. Think of it this way: The popular, more common method relies upon a <a href=\"https:\/\/www.lightstalking.com\/ai-image-generator-comes-to-shutterstock\/\" target=\"_blank\" rel=\"noreferrer noopener\">cloud network<\/a> while Qualcomm\u2019s <a href=\"https:\/\/www.lightstalking.com\/ai-generator-lunchbox-takes-aim-at-food-photography\/\" target=\"_blank\" rel=\"noreferrer noopener\">great advancement<\/a> is taking all of that and localizing it on a smartphone headset. In terms of things being a \u201c<a href=\"https:\/\/www.lightstalking.com\/microsoft-extends-partnership-with-dall-e-makers-openai\/\" target=\"_blank\" rel=\"noreferrer noopener\">pretty big deal<\/a>,\u201d this is right up there.<\/p>\n\n\n\n<p>Of course, the implications for photography and other industries notwithstanding, shrinking down these massive networks into localized functionalities opens up a whole new world of possibilities when it comes to everything from generating photos to editing them on the fly. In other words, this kind of advance could really push smartphone photography forward in a big way, among other areas.<\/p>\n\n\n\n<p>From Qualcomm\u2019s blog post:<\/p>\n\n\n\n<p>\u201cOur vision of the connected intelligent edge is happening before our eyes as large AI cloud models begin gravitating toward running on edge devices, faster and faster. What was considered impossible only a few years ago is now possible. This is compelling because on-device processing with edge AI provides many benefits, including reliability, latency, privacy, efficient use of network bandwidth, and overall cost.<\/p>\n\n\n\n<p>Although the Stable Diffusion model seems quite large, it encodes a huge amount of knowledge about speech and visuals for generating practically any imaginable picture. Furthermore, as a foundation model, Stable Diffusion can do much more than image generation with text prompts. There are a growing number of Stable Diffusion applications, such as image editing, in-painting, style transfer, super-resolution, and more that will offer a real impact. Being able to run the model completely on the device without the need for an internet connection will bring endless possibilities.\u201d<\/p>\n\n\n\n<p>You can check out some examples on the post <a href=\"https:\/\/www.qualcomm.com\/news\/onq\/2023\/02\/worlds-first-on-device-demonstration-of-stable-diffusion-on-android\" target=\"_blank\" rel=\"noreferrer noopener\">at this link<\/a>.<\/p>\n\n\n\n<p>Qualcomm goes on to broaden the discussion to other devices including laptops or \u201cvirtually any other device powered by Qualcomm Technologies.\u201d That\u2019s quite a broad brush, indeed.<\/p>\n\n\n\n<p>Any thoughts you might have on AI and photography are welcome in the comments.<\/p>\n\n\n\n<p>Check out some of our other photography news on Light Stalking at this <a href=\"https:\/\/www.lightstalking.com\/category\/news\/\" target=\"_blank\" rel=\"noreferrer noopener\">link right here<\/a>.<\/p>\n\n\n\n<p>[<a href=\"https:\/\/www.qualcomm.com\/news\/onq\/2023\/02\/worlds-first-on-device-demonstration-of-stable-diffusion-on-android\" target=\"_blank\" rel=\"noreferrer noopener\">Qualcomm<\/a>]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence continues to advance by leaps and bounds as Qualcomm\u2019s demonstration of a world-first on-device AI image-generating feature using full stack optimization drives home the tech revolution sweeping the world and promising to revolutionize multiple industries in its wake. As Qualcomm explains in their blog post detailing the advancement, one popular method used to [&hellip;]<\/p>\n","protected":false},"author":96368,"featured_media":502757,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[82],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.5 (Yoast SEO v22.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Qualcomm Demonstrates Groundbreaking On-Device AI Image Generation Using Stable Diffusion | Light Stalking<\/title>\n<meta name=\"description\" content=\"Artificial intelligence continues to advance by leaps and bounds as Qualcomm\u2019s demonstration of a world-first on-device AI image-generating feature using .\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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