Lovable: Nano Banana 2 (Gemini 3.1 Flash Image) Support

Lovable

Lovable added support for Nano Banana 2, an image generation model powered by Gemini 3.1 Flash, enabling AI-generated images directly within Lovable-built applications. Developers can now use the model to generate visuals β€” icons, illustrations, backgrounds, and other graphics β€” as part of their app-building workflow without leaving the platform.

Sources & Mentions

1 external resource covering this update


Nano Banana 2 (Gemini 3.1 Flash Image) Support

Lovable added support for Nano Banana 2 on March 16, 2026 β€” an image generation capability powered by Google's Gemini 3.1 Flash model. This integration allows the AI agent to generate images directly during the app-building process.

What Nano Banana 2 Enables

With this addition, developers working in Lovable can request AI-generated images as part of their application development workflow. The model can produce:

  • App icons and logos β€” generate visual identity assets without a separate design tool
  • Illustrations and graphics β€” create custom visuals for landing pages, onboarding flows, or feature sections
  • Backgrounds and decorative elements β€” generate textures, patterns, or abstract backgrounds
  • Placeholder and prototype imagery β€” quickly generate realistic visuals for mockups and demos

How It Works

Nano Banana 2 is integrated into Lovable's AI agent workflow. When the agent determines that an image would be useful (or when explicitly requested by the developer), it generates the image using the Gemini 3.1 Flash model and incorporates it directly into the application being built.

The model name "Nano Banana" follows Lovable's internal naming convention for image generation models. The "2" designation indicates this is a second-generation implementation, likely with improved quality and speed compared to the previous version.

Why This Matters

Image generation has been a gap in AI app-building platforms. While tools like Lovable excel at generating code and layouts, developers often had to leave the platform to create visual assets β€” using separate tools like Midjourney, DALL-E, or traditional design software. By integrating image generation directly into the build workflow, Lovable reduces context-switching and makes it possible to produce more visually complete applications in a single session.


Mentioned onLovable