The nano banana model is moving closer to release, with Google preparing to bring it inside Flow, its growing creative platform. Early testing shows that nano banana will power a new text-to-image feature, allowing users to drop in reference images and get multiple variations back. These outputs are designed to be directly usable in video projects, making Flow a tool where both image and video creation happen in the same space. For creators, this could reduce the friction of exporting assets between apps.
Flow to Get Text-to-Image Powered by Nano Banana
Reports indicate Flow’s integration with nano banana will not stop at images. Google is testing vertical aspect ratio support, making the platform more relevant for TikTok, Instagram Reels, and YouTube Shorts. Another upgrade being prepared is prompt preambles, where users can select presets such as Vlogging or Cinematic. These presets expand a user’s prompt automatically with richer context, which lowers the barrier for people who do not have prompt engineering experience.
Alongside this, Flow is building smaller but important features for creators. These include the option to favorite videos, save them for later, and share clips via QR codes. Together, the changes point to Google’s attempt to make Flow not only a creation tool but also a space for storing and organizing assets.
Why Nano Banana Matters for Google’s AI
The nano banana model is part of Google’s broader push into multimodal AI. Unlike earlier models limited to text or single-image generation, nano banana is being trained to understand and work with references. A creator could upload a product photo and get back multiple high-quality versions that are consistent in design, making it valuable for advertising, branding, and short-form video production.
This direction matches Google’s larger strategy: building all-in-one environments for content creation. Flow, combined with Gemini and Whisk, gives the company an ecosystem where users can move from prompt to finished content without external tools. That reduces the risk of creators shifting to rivals like OpenAI or Adobe.
Features in Testing
Vertical Video Support
Creators today prioritize short vertical content, and Google knows this. By adding vertical aspect ratios directly into Flow, nano banana becomes more useful for influencers and marketers. Videos optimized for TikTok or Shorts can be generated without manual resizing.
Prompt Preambles
The prompt preamble function means users can avoid long descriptions. If someone selects Vlogging, Flow automatically shapes the request with terms common to vlog editing, such as transitions, cuts, and pacing. With Cinematic, Flow adds stylistic details like lighting and color tone. This makes complex results possible with minimal input.
Social Sharing and QR Codes
Flow is also getting community-style features. Users will be able to mark content as favorites, organize libraries, and share through QR codes. This move suggests Google wants Flow to serve not only as a creative tool but also as a light distribution hub.
Timeline and Market Impact
Google has not shared a launch date for nano banana in Flow, but its development follows the same path as earlier Gemini updates. Typically, features appear first for limited testers before scaling to wider rollouts. If that pattern holds, nano banana could appear in Flow later this year, with wider adoption in 2026.
For creators, this launch may speed up production workflows. Instead of exporting images into editing suites, users could generate, edit, and share all inside Flow. For businesses, it lowers costs by keeping teams inside a single tool.
Conclusion
The nano banana model represents Google’s next step in multimodal AI. With Flow soon gaining text-to-image generation, vertical video options, prompt preambles, and sharing tools, the platform looks positioned to compete more directly with rivals. While no firm release date is set, signs point to Google consolidating creative work inside Flow and giving both casual and professional creators new reasons to stay in its ecosystem.
