Image ideas for Google's Nano Banana

February 26, 20262 mins
A banana with the Google logo on it

Image ideas for Google's Nano Banana on Google with concrete Osirus UI workflows and starter prompts.

If you haven't tried Nano Banana from Google, where have you been hiding?

This model is fantastic – and a practical option for Image workflows in Osirus AI. Gemini models are designed for multimodal understanding and broad workflow flexibility, and Nano Banana sets a really high bar for exceptional image generation. 

What you can build with this model

  • Ad-creative ideation with rapid style variants and composition changes.
  • Landing page and social thumbnail concept generation from one brand brief.
  • Product storytelling visuals with reusable prompt templates per campaign.

Why this model is a good fit

  • Useful for long-context planning and synthesis style tasks.
  • Good for mixed text-and-media reasoning workflows.
  • Adaptable across assistant, research, and generation use cases.
  • Supports concept expansion when workflows include visual inputs.
  • Model outputs include: Image.

Build flow in Osirus UI

  1. Open /images in Osirus and select Nano Banana from Google.
  2. Run a second pass for edits instead of overloading the first prompt.
  3. Save your highest-performing visual prompts into a campaign template.
  4. Start with one style anchor and one composition anchor in each prompt.
  5. Save the final workflow as a repeatable pattern for your team.

Starter prompts

  • Design a product announcement visual with strong focal point and minimal background clutter.
  • Produce variations optimized for square, portrait, and wide aspect ratios.
  • Create a hero image concept for Google branding with clean typography space.

Production checklist

  • Store winning prompts as reusable creative templates.
  • Define style constraints upfront to reduce random drift between outputs.
  • Use aspect-ratio-specific prompt variants instead of one generic prompt.
  • Keep a negative prompt list for recurring artifacts.
  • Define output contract clearly when chaining multiple generation stages.

Open this model in Osirus and turn one of these ideas into a reusable team workflow.