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Core Features of Google Flow Platform
A comparison of key functionalities within the new Flow AI platform.
Primary Sources
Google Makes It Easy to Deepfake Yourself - WIRED
A wave of déjà vu washes over me as Elias Roman, vice president of product management at Google Labs, demos a new “avatar” feature for Flow, the company’s tool that lets users generate and remix AI videos and images. He previously scanned his likeness to create a digital clone of himself. Now, he can insert himself into any AI-generated videoclip he wants using Google’s new Omni Flash model.“This is for creators who want to bring themselves into their content but don't want to have to shoot themselves,” Roman says.Courtesy of GoogleThis specific style of social-first, selfie deepfake is reminiscent of a quintessential feature from OpenAI’s now-defunct Sora app—rather than cameos or characters, Google calls them avatars. These avatars are also available through the Gemini app and YouTube. Google announced the new feature at its annual I/O developer conference in Mountain View, California.Google launched Flow last year under its experimental Labs division. “Google has never had a product line for creative work before,” Roman says. “Productivity, definitely. Developers, absolutely. Video consumption, yes. Not for creative work.” He sees this as Google’s attempt to build tools for the next generation of creators.Similar to other announcements from Google I/O surrounding Google Search, many of the new changes to Flow are part of the company’s larger attempt to make AI agents, essentially automated software taskmasters, and vibe coding, building bespoke features with natural language prompts to AI, more mainstream for a broader audience. For example, users can repeat custom instructions when generating videos and create automated workflows that sort similarly styled clips into folders.Courtesy of GoogleOne of the most immediately noticeable changes to Flow is the new video-generation model powering the experience: Omni Flash, succeeding Veo. Similar to how Google’s Nano Banana model brought more context about the world into the AI image-creation process, the Omni Flash model overhauls video generation with richer detail throughout clips.Flow users can generate characters in AI videos with more consistency via the Omni Flash model. Roman says this is a major improvement over the weakness in past versions of Flow, where created characters could warp during successive video generations. Also, a key character that Flow users can now generate in an AI scene after an AI scene? Themselves.Users set up an “avatar” of themselves by going into the settings of their Flow a...
Google I/O Unveils Groundbreaking Deepfake Capabilities with Generative AI
Revolutionizing Content Creation: Google I/O Introduces Deepfake Avatars with AI Tuesday, 19 May 2026, 17:45Google I/O showcases cutting-edge deepfake technology using generative AI, allowing users to create personalized avatars for videos. This innovation marks a significant leap in apps and software aimed at enhancing creative expression. With advancements in machine learning, Google's Gemini app facilitates seamless integration of these AI-generated characters into various platforms.Revolutionizing Content Creation: Google I/O Introduces Deepfake Avatars with AITransforming Content Creation with AIAt Google I/O, the tech giant unveiled its innovative deepfake feature allowing users to transform themselves into AI avatars. This tool enables a new era of content creation, empowering creators to enhance their videos without the hassle of traditional filming.The Power of Generative AIBy leveraging advanced machine learning technologies, Google introduces the Omni Flash model, revolutionizing video generation with greater detail and accuracy.Flow system empowers users to record their identities for realistic AI portrayals.The process involves capturing voice and visual elements from multiple angles for a personalized touch.Upcoming Innovations in Video ProductionWith tools like Flow and its previous iteration, Google is focused on automating creative tasks, enabling creators to bring their visions to life effortlessly.Enhanced customization through natural language prompts.Seamless integration within the Gemini app for varied content platforms.As generative AI evolves, it raises questions about authenticity in digital content creation but promises to streamline workflows and enhance creative opportunities.This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.
Google Rolls Out Gemini Avatar and Flow Android
NokiaPowerUser reports that at Google I/O 2026 Google introduced a new **"Avatar"** (internally referenced as "Likeness") entry in the **Gemini** web interface and a major update to **Google Flow** with a native Android app and expanded character and scene controls. NokiaPowerUser reports the Gemini web "Avatar" menu is undergoing a gradual rollout but is not yet functional, with the site ...
Google's new Omni AI tool will let you video clone yourself - I'm ...
Google Gemini Omni aims to do for AI video what Nano Banana did for images - combining realism, style control, avatars, and natural-language editing into one ambitious tool.
