Nano Banana 2 and Pro move from preview into production image APIs

Image generation is moving from impressive demos into production infrastructure. On May 29, 2026, Google Cloud said Nano Banana 2 and Nano Banana Pro are generally available through the Gemini Enterprise Agent Platform. Developers can also reach both models through the Gemini API, but Google’s emphasis is enterprise-grade deployment: security, support, SLAs, and direct integration into creative and agentic workflows.

The model names matter because they show how Google is segmenting the product line. Nano Banana 2 is Gemini 3.1 Flash Image, while Nano Banana Pro is Gemini 3 Pro Image. The 1K and 2K output capabilities are now generally available for both models, while 4K output remains in preview. Google also added a preview capability for Nano Banana 2 that accepts video files as input prompts. The model can use video understanding to analyze visual context, subjects, and actions, then produce context-aware images such as thumbnails and rich infographics.

The bigger signal is the customer placement. Adobe says Nano Banana models are already powering enterprise teams inside Adobe Firefly Enterprise and Adobe GenStudio. WPP has integrated Nano Banana 2 and Pro into WPP Open, its agentic marketing platform, for scaled content production systems used with clients including Verizon, L’Oreal, and Unilever. Shopify points to product photography expansion and social imagery for merchants, while URBN describes early product-development work that could compress its trend-to-market pipeline.

That makes the release less about a single model benchmark and more about operational fit. Creative teams care about consistency, controls, brand integrity, and whether a model sits inside the tools that already govern approvals. Google is positioning Gemini image models as production API components for marketing, retail, and media pipelines, not just standalone generation toys. The next thing to watch is whether the 4K and video-input preview features mature without adding review overhead, because that is where image generation starts affecting real asset pipelines rather than isolated mockups.