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How it works
Nano Banana is a Gemini-powered base image model built for creators who need accurate text rendering and strong semantic understanding in their generated visuals. Whether you are designing social graphics with readable captions, producing multi-image batches for content pipelines, or exploring concepts through detailed natural-language prompts, Nano Banana translates complex descriptions into coherent imagery across ten selectable aspect ratios, from portrait to widescreen and beyond.
How to use this app
- 1
Describe what you want to create, or upload your source file.
- 2
Pick your options, then press Generate.
- 3
Watch your result appear in the gallery within moments.
- 4
Download, share, or generate again with a new idea.
What you can make
Social Graphics With Legible Text
Nano Banana's excellent text rendering makes it well suited for generating promotional banners, quote cards and announcement graphics where the words inside the image must be readable and correctly spelled. Designers can iterate quickly without fixing garbled letters in post-production.
Semantic Concept Visualization
The model's strong semantic understanding means nuanced, multi-clause prompts land accurately. Researchers, strategists and educators can describe abstract relationships or layered scenes in plain language and receive images that reflect the intended meaning rather than a surface-level keyword match.
Multi-Image Content Batches
Nano Banana supports multi-image output, making it practical for content teams that need several variations of a scene, product shot or illustration in a single session. Comparing outputs side by side speeds up selection and reduces total generation time across a project.
Flexible Format Production
With ten aspect ratios available, Nano Banana covers the full range of publishing surfaces: square social posts, vertical mobile stories, horizontal website headers and print-ready proportions. Teams can generate assets sized correctly from the start rather than cropping after the fact.
Rapid Creative Prototyping
For art directors and indie creators who need to move from idea to reference image fast, Nano Banana's high quality output at a low credit cost makes it a practical first-pass tool before committing to a more resource-intensive pipeline or specialist model.
Prompt ideas to try
- A bold poster advertising a jazz festival, with the event name 'Blue Note Nights' in large hand-lettered typography against a deep indigo background with silhouetted trumpet players.
- A photorealistic overhead flat lay of a wooden desk with a coffee cup, open notebook showing the handwritten words 'Start Here', scattered pencils and soft morning light.
- An illustrated infographic-style scene showing the water cycle with clearly labeled arrows reading 'Evaporation', 'Condensation' and 'Precipitation' over a cross-section landscape.
- A vintage travel poster for a fictional city called Veloria, featuring art deco architecture, a glowing sunset and the tagline 'Where the Sea Meets the Sky' in period-accurate serif lettering.
- A product mockup of a matte black coffee bag with a minimalist mountain logo and the brand name 'Summit Roast' printed cleanly on the front panel, studio lighting.
- A children's book illustration of a small fox reading a sign that says 'This Way to the Forest' at a sunny crossroads surrounded by wildflowers and tall grass.
Why creators use this app
- Excellent text rendering
- Semantic understanding
- Ten aspect ratios
- Multi-image output
Tips for better results
Spell Out Text Exactly
Because Nano Banana has excellent text rendering, include the precise words, punctuation and capitalization you want to appear in the image inside your prompt. The model reads intent closely, so quoting the exact string inside single quotes reduces misreads.
Use Descriptive, Multi-Clause Prompts
Semantic understanding means the model benefits from detailed context rather than short keyword lists. Describe the subject, setting, mood, lighting and style in connected sentences. This approach yields images that match the full concept rather than just its most prominent noun.
Choose the Aspect Ratio Before Generating
Nano Banana offers ten aspect ratios, so select the target format before you run a generation rather than cropping afterward. Matching the ratio to your publishing surface, such as 9:16 for vertical video thumbnails or 16:9 for headers, preserves composition and avoids losing key elements.
Request Multiple Outputs for Comparison
Multi-image output lets you generate several variations from one prompt in a single run. Use this when you are undecided on a stylistic direction: keep your prompt constant and compare outputs to identify which interpretation best fits your project before refining further.
When to choose this app
Choose Nano Banana when your image must contain accurate, legible text or when your prompt describes a nuanced concept that simpler models misread. Compared to FLUX.1 Schnell, which prioritizes raw speed, Nano Banana balances quality and semantic fidelity. Compared to Seedream v3, Nano Banana's Gemini-powered text rendering is a clear advantage for any graphic that treats words as a core visual element rather than an afterthought.
Frequently asked questions
How accurate is Nano Banana at rendering text inside images?
Text rendering is listed as excellent and is one of the model's primary strengths. Short phrases, brand names and labeled diagrams generally appear correctly spelled and legible. Very long passages or highly stylized scripts can still introduce occasional errors, so proofread generated output before publishing.
Which aspect ratios are available and how do I choose?
Nano Banana supports ten aspect ratios covering common portrait, square, landscape and cinematic proportions. Select the ratio that matches your final publishing surface before generating. Changing the ratio after generation requires a new run, so confirming your target format first saves credits and time.
How many images can I generate in one session?
The model supports multi-image output, meaning you can request several variations from a single prompt in one generation run. The exact number of simultaneous outputs is set in the generation interface. Reviewing multiple results side by side is useful for comparing stylistic interpretations before committing to a direction.
What kinds of prompts work best with Nano Banana's semantic understanding?
Detailed, descriptive prompts written in natural language perform well. The model handles relational concepts, layered scenes and abstract ideas more reliably than keyword-only inputs. Describing subject, environment, lighting, mood and style in connected sentences gives the semantic engine enough context to produce an accurate result.
Is Nano Banana suitable for generating labeled diagrams or educational visuals?
Yes. The combination of excellent text rendering and semantic understanding makes it practical for simple labeled diagrams, annotated illustrations and educational graphics. Complex multi-column data layouts or precise scientific notation may still need manual refinement, but single-label or short-phrase annotations tend to render accurately.
Can I use Nano Banana for brand or product mockups that include a logo name?
Nano Banana is a good fit for product mockups where the brand name or short tagline must appear on the object. Specify the exact text, the surface it appears on and the desired typographic style in your prompt. The model's text rendering capability means the name is more likely to appear correctly than with models that treat text as secondary.
How much does it cost?
Each generation costs 1 credit. New accounts get free credits to try it out.
Which AI model powers this app?
This app runs on Nano Banana, available through Arteza with no separate account or setup.
Can I use the results commercially?
Yes. Content you generate is yours to use, subject to our content licenses.
How long does a generation take?
Most generations finish in under a minute, and you can watch progress live in the gallery.
