Nano Banana model guide
A model guide for Nano Banana on GPT Image Hub, covering Gemini 2.5 Flash Image use cases, 1K generation, reference-image limits, and prompt patterns for fast iteration.
Nano Banana is the fast Gemini image option on GPT Image Hub. Use it when you want quick creative iteration, light image edits, and reference-image guided outputs at 1K. It is a good exploration model before moving a winning prompt into GPT Image 2, Nano Banana 2, or Nano Banana Pro for larger exports.
Visual examples
Visual examples
A playful square avatar concept generated from a compact prompt.
Mascot ideation
A playful square avatar concept generated from a compact prompt.
Playful banana-themed AI mascot, yellow palette, clean vector-like finish.Quick product edit
A reference image gets a cleaner background and softer commerce lighting.
Keep product shape unchanged, add warm background and soft shadow.Prompt testing board
Small prompt variations compared before moving into production.
Generate three lightweight moodboard directions for a tropical app.Best use cases
- Moodboard passes, visual ideation, small social concepts, and early product shot exploration.
- Fast edits where the goal is direction, not final delivery polish.
- Generating alternate compositions from one prompt family.
- Testing prompt structures before producing a final output in a higher-resolution model.
Where to be careful
- 4K final deliverables, because this Hub configuration exposes Nano Banana at 1K only.
- Large reference boards that need more than 3 input images.
- Complex production assets where typography, fine detail, or print-scale output is critical.
Strengths
Fast 1K creative iteration for prompt exploration and concept testing.
Supports reference-image input for style, subject, or composition guidance.
Good option for checking whether a prompt idea is directionally correct before spending time on higher-resolution variants.
Works well with concise visual instructions and clear edit requests.
Use cases
Fast concept exploration
Try several visual directions before spending time on larger outputs.
Lightweight edits
Simple background, style, and product presentation changes from a small reference set.
Prompt A/B tests
Compare wording, composition, and tone before choosing a final model.
Workflow
Start broad
Use concise prompts to test the subject, style, and composition quickly.
Keep references lean
Use up to three references and state which details must remain unchanged.
Promote winners
Move the best direction to Nano Banana 2, Nano Banana Pro, or GPT Image 2.
Prompting guidance
- Keep prompts compact and action-oriented: subject, change, style, and constraint.
- When editing from references, tell the model which elements must stay unchanged.
- Use it for A/B testing several prompt angles before committing to a final model.
- Avoid overloading one prompt with unrelated style systems.
Copy-ready prompts
Create three quick concepts for a playful banana-themed AI mascot, studio lighting, simple yellow and black palette, square social avatar, clean vector-like finish.
Edit the reference image into a warm e-commerce product photo, keep the product shape unchanged, add soft shadow, pale yellow background, no text.
Generate a 1K moodboard image for a tropical productivity app, playful fruit iconography, glass UI cards, bright desk setup, optimistic morning light.
Official sources
FAQ
What is Nano Banana on GPT Image Hub?
Nano Banana is the Hub label for Google's gemini-2.5-flash-image model. It is positioned here as a fast 1K generation and editing option.
How many reference images can Nano Banana use?
GPT Image Hub currently allows up to 3 reference images for Nano Banana.
When should I upgrade a Nano Banana prompt to another model?
Move the prompt to GPT Image 2, Nano Banana 2, or Nano Banana Pro when the concept is approved and you need higher resolution, more references, or more production detail.
Use this model
Start from a prompt template or compare models first
Use the generator when you already know the model, or compare all supported models when the prompt needs a different balance of speed, detail, and reference inputs.