The company designed the first model to be commercially safe, training it on images it had the right to use, including high-quality Adobe Stock content, openly licensed content, and public domain content where copyright had expired. The company also concentrated on integrating Firefly deep within current creative workflows, bringing the power of generative AI to users’ fingertips in already familiar platforms.Īdobe’s AI Ethics principles of accountability, responsibility, and transparency served as a foundation and a North Star for the entire Firefly process. Rather than deploying the technology first and considering practical issues later, Adobe addressed creative concerns, including control, credentialing, and protecting professionals’ creative styles up front. “There’s no doubt that this technology can positively change how people create-as long as it’s thoughtfully and ethically designed to empower rather than replace humans, meeting real-world customer needs and workflow requirements,” says Greenfield.Īdds the CTO, “Our designers-most of them talented artists themselves-spoke early and often with the creative community, triangulating features and issues that mattered most to creative professionals.” Just as Neural Filters introduced an intuitive new framework for photo editing, including simple sliders that can increase or reduce a person’s smile, for example, Firefly generative AI combines once-unimaginable computing power with natural controls. “This commitment fueled the Firefly team during nights and weekends ahead of the launch, inspired quick adjustments based on feedback, and it continues to propel the expansion of Firefly’s footprint across every corner of our ecosystem.” “Researchers described it as a passion project,” Greenfield says.
Beyond building Firefly’s user experience, Adobe designers became deeply involved in how Firefly was differentiated and brought to market. Firefly’s capabilities and guardrails were also built by groups of Adobe researchers, designers, executives, and even customers, brought together to harness AI’s potential to enhance the way people create and work. These teams didn’t comprise only engineers.
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“By starting early with these AI-powered tools,” Greenfield says, “we built up internal teams of experts who deeply understood both generative AI technology and how to integrate it in our applications.” Starting in early 2019, the company’s research team began exploring the potential of creative AI, introducing precursor capabilities in its applications, including Neural Filters in Photoshop, Content-Aware Fill in After Effects, Liquid Mode in Acrobat, and Attribution AI in Adobe Experience Platform. And in the near future, the company plans to enable Firefly to help people of every background and skill level develop video, 3D, and other types of content with a “magical level of ease,” Greenfield says.Īs of this writing, users have generated more than two billion images with Firefly-Adobe’s most successful beta release in the company’s history.Īccording to Greenfield, Firefly has been evolving in Adobe’s research and development laboratories for several years. Today, simply typing “parrot on shoulder” on can instantly generate multiple photorealistic bird options to add to any portrait. Adobe then brought the technology into its flagship subscription-based photo, illustration, and experience applications.
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When Firefly launched earlier this year, it was focused on generating images and text effects within a free website. Says Ely Greenfield, CTO, Digital Media at Adobe, “The nature of Firefly’s advancements puts it in a category all its own.” It released an AI platform in 2017, and today hundreds of AI-powered features embedded in Adobe’s Creative, Document, and Experience Cloud platforms enable users to push the boundaries of creativity and productivity.Īdobe Firefly-a family of creative models that reimagines how content is designed, as well as how users and computers interact-is the next step in the company’s AI evolution. Adobe’s AI and ML journey started more than a decade ago when it introduced ML-powered red-eye removal in Photoshop. Since then, the company has continually developed technologies from Acrobat to Photoshop to After Effects that empower people to create digital content and experiences with increasing impact and ease. Take Adobe, whose founders released Adobe PostScript 40 years ago, igniting the desktop publishing revolution. But the really hard work of creating and improving images through AI and machine learning (ML) has been years in the making. With all the hoopla over artificial intelligence in recent months, it may feel as though generative AI sprang out of nowhere this year.
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