In this article we’ll walk you, step-by-step, through using Nano Banana Pro inside the Gemini app, explore Google’s new Gemini 3 image-generation capabilities, examine the best AI tools for diagrams and infographics in 2025, review AI models that generate accurate text inside images, look at image generators with real-time data grounding, and explain Google’s SynthID watermark for AI images. Along the way we’ll use real-world examples, tips, expert insights, and research-backed facts to help you understand not just how, but why these tools matter. At the end, you’ll find FAQs answering common questions.
Why Nano Banana Pro matters (and how it fits inside Gemini)
Let’s imagine you’re a content creator: you want to produce an infographic, or a social-post image, or a branded visual. Normally you’d go to Canva, Photoshop, or hire a designer. Now there’s a tool embedded in the Gemini app that claims to let you generate and edit images, with professional-level control, right from your phone or browser.
That tool is Nano Banana Pro, the latest image-generation/editing model from Google DeepMind built on the Gemini ecosystem. Google describes it as “studio-quality levels of precision and control” built on the underlying model of Gemini 3 Pro.
Some of the key reasons it matters:
- Clarity of text and multilingual capability: One of the long-standing issues in image generation has been rendering legible, coherent text inside images (e.g., signs, labels, diagrams). Nano Banana Pro explicitly addresses this.
- Real-world / world-knowledge grounding: Because it links into Google Search and uses Gemini’s reasoning capabilities, you can ask it for accurate visual content, diagrams and infographics that reference actual facts.
- High-fidelity control: Adjust lighting, camera angle, aspect ratio, combine multiple reference images, etc. In short: this is no longer just “fun image generation”, it’s production-level visuals.
- Watermark & provenance built-in: All images generated/edited include a visible watermark plus the invisible watermark system (SynthID) to mark them as AI-generated. That matters for transparency.
- Embedded in Gemini & Google tools: You don’t need a separate tool; if you’re using the Gemini app, you have access (depending on your tier) to Nano Banana Pro’s features.
So from a “why” standpoint: if you create visuals, branding assets, infographics, diagrams, or want fast high-quality image output with good text rendering and real‐world accuracy — Nano Banana Pro is a big step forward.
How to use Nano Banana Pro in the Gemini App? Step-by-step guide
Alright, let’s walk through how you actually use it. I’ll assume you have the Gemini app (or access via web) and you may have a Pro or free tier.
Step 1: Launch the Gemini app and access image creation
- Open the Gemini app (or go to gemini.google.com).
- Navigate to the tools menu and select “Create images”. In the menu you’ll typically see model options like Fast, Thinking, etc.
- For casual use you might select the “Nano Banana” model (the earlier version).
- To access Nano Banana Pro, select the “Thinking” model and ensure you are on the correct tier.
- Optionally, upload an input image (if you want to edit or fuse photos) or start from a blank prompt.
Step 2: Write your prompt (or upload and describe)
Prompts are where you guide the model. For best results:
- Be specific about subject, action, scene: e.g. “Generate an infographic showing global carbon-emissions by region in 2024, with a world map, labelled regions, bold heading, clean modern style.”
- For better text rendering, include details like “include clear legible English headings, small icons, multilingual labels (English + Hindi)”.
- If you upload a photo, you might say: “Edit this photo: change background to a clean white-studio setting, add brand logo bottom right, add caption ‘Team Innovation Workshop’”.
- Use prompts that refer to composition and style: lighting, angle, aspect ratio, resolution (e.g., “4K resolution”, “2:3 aspect ratio”, “cinematic lighting”). Nano Banana Pro supports high resolution and control.
Step 3: Configure advanced settings (optional)
In the Gemini app (or via API) you may have advanced settings such as:
- Choose aspect ratio or resolution: e.g. 2K, 4K.
- Upload reference images (you can upload up to 14 reference images for brand consistency) in Pro tier.
- Select editing controls: local edits, lighting transforms, camera angle changes.
- Decide between “Generate new image” vs “Edit existing image” path.
Step 4: Generate and review
- Hit “Generate”. The model will produce image candidates.
- Review them. If something is off (text is hard to read, composition not right, style wrong), you can refine the prompt or ask for edits (“Make the heading bigger”, “Switch to dark-mode style”, “Translate heading to Hindi”).
- Nano Banana Pro supports iterative editing / refinement.
Step 5: Export and use
- Once satisfied, you can export/download the image. Check your license/usage limits (free vs paid tiers may differ).
- The image will include visible watermark (to mark that it’s AI-generated) and the invisible SynthID watermark (for provenance).
- Use it in your blog, presentation, social media, etc.
Tips for best results
- Use clear, simple language but include relevant details (subject, style, text, colors).
- When text on images is important (e.g., headings, labels), mention “legible text”, “English + Hindi translations”, “sharp vector-style text”. Nano Banana Pro is built for better text.
- If brand consistency matters, upload reference images (logo, colour palette, product photos) and mention “match these references”.
- Start with a smaller size or test prompt to fine-tune, then upscale to 2K/4K for final.
- Remember output includes watermark — plan accordingly (e.g., for client work or publishing).
- Always check for factual accuracy if you’re generating diagrams or data-visuals — the model can be good, but you’re still in the driver’s seat.
Google’s Gemini 3 image-generation upgrade: what’s new
The release of Nano Banana Pro is not just a minor update — it reflects a larger generational leap in Google’s image-generation pipeline via the Gemini 3 Pro framework. Let’s unpack what this means.
Key improvements
- Better text rendering & localization: Earlier models often struggled with text on images (blurry letters, gibberish words, poor foreign-language script). Gemini 3 Pro / Nano Banana Pro bring much stronger capability here.
- World knowledge & grounding: The model isn’t just generating visuals from style cues, it can connect to real-world knowledge (e.g., via Google Search) for diagrams, maps, factual visuals. For example, generate a “map of global ocean currents labelled” or “infographic of climate zones 2025” with accurate factual basis.
- High-fidelity creative control: Camera angle, lighting, color grading, local editing (you can tell it to change lighting, modify a region). These are production-level features rather than toy generation.
- Multi-image fusion and reference support: Upload multiple images (in some tiers up to 14) to fuse into one composition or maintain consistency across a series. Great for brand asset creation.
- High resolution (2K/4K): For professional usage, you can reach 2K/4K output.
- Built-in watermark & provenance: Every generated/edited image carries both visible and invisible watermark (via SynthID) to mark it as AI-generated, enhancing trust and transparency.
Why this matters in practice
- For content creators: you can now generate brand-ready visuals faster — no longer just experiments, but real assets.
- For businesses: you can create diagrams, training visuals, infographics with factual accuracy — important when visuals represent data or technical concepts.
- For agencies and designers: the ability to upload reference images and maintain consistency saves time when working on campaigns.
- For transparency/regulation: the built-in watermark and provenance help mitigate concerns about AI-generated content being mis-used or mis-represented.
A quick note on access & tiers
While free tiers may allow basic image generation/editing via Nano Banana, full “Pro” features (higher resolution, advanced controls, multi-image reference support) may require paid subscriptions or enterprise access. For example, enterprise users of Google’s Vertex AI and Workspace are getting Nano Banana Pro support.
So if you find a feature missing, check your subscription level.
Best AI tools for diagrams & infographics in 2025 (and how they compare)
While Nano Banana Pro covers image generation broadly, you might also specifically create diagrams, infographics or data-visuals. Let’s review what the landscape looks like in 2025 and how to choose.
What to look for in a diagram/infographic generator
- Easy import of data (CSV, spreadsheets) or text prompt → visual.
- Smart layout suggestions, templates, icons, charts built-in.
- Ability to annotate with legible text, multilingual labels.
- Ability to edit visuals, adjust styling (brand colours, fonts).
- Export to high resolution or various formats (PNG, PDF, PPT).
- Real-time data updates (live data) or integration with sources.
- Collaboration/team features for workflow.
- AI assistance (suggest layouts, quick generation).
Top tools in 2025
Here are several common names:
- Canva AI: Widely used, familiar UI, now has AI-powered infographic generation.
- Venngage: Focused on infographics specifically, with AI generator options.
- Piktochart: Strong data-to-visuals capabilities, good for charts from spreadsheets.
- Napkin AI: Converts text quickly into visuals and supports team collaboration; great for storyboard/infographic style.
- Whimsical AI: Good for diagrams, flowcharts, mind-maps, and AI-assisted layout.
- Infogram: AI-powered chart/infographic generation, includes live data updates.
Where Nano Banana Pro fits in
Nano Banana Pro is somewhat unique because it combines image generation/editing with strong diagram/infographic potential and world-knowledge grounding. So for example, if you need an infographic that uses real-world data, a world map base, translated labels, brand styling, etc., Nano Banana Pro is a strong candidate. Meanwhile, the other tools above are more specialized for structured diagram/infographic workflows and may integrate better with data pipelines/spreadsheets. So:
- For quick, template-based infographic creation: Canva, Venngage, Piktochart.
- For diagramming, mind-maps, flows: Whimsical AI.
- For production-grade, custom visuals, branding, fact-based diagrams: Nano Banana Pro.
Example scenario
You work at a consultancy and need a custom infographic showing “2025 Global AI Investment by Region + emerging technologies”. If you use Canva: choose template, plug data, pick icons, export. If you use Nano Banana Pro: prompt “Generate infographic, world map, five regions, monetised icons, heading ‘Global AI Investment 2025’, brand colours #…” → you’ll get a visually rich image you can further tweak. Then you may plug into Canva or a design tool for finishing touches.
AI models that generate accurate text in images (and why that matters)
One of the hardest problems in text-to-image generation has been rendering legible, accurate text inside images: think banners, labels, menus, infographics, posters. Many earlier models produce blurry text, odd letter spacing, or garbage text. So if your visual includes text (which often it does), you want a model that handles this well.
Why it’s important
- If you’re creating marketing materials with headlines, you need the text to read correctly (not “He11o W0r1d”).
- For multilingual visuals (labels in English + Hindi or other scripts), you want accurate script.
- For diagrams or infographics, labels and numbers must be correct-looking and legible.
- For publishing or client work, low‐quality text looks amateur. Having high-quality text inside visuals is now table stakes.
Who’s good at this?
- The model Ideogram (text-to-image) specifically emphasises legible text rendering “text in AI images that you can actually read”.
- Nano Banana Pro (via Gemini 3 Pro Image) explicitly calls out improved text rendering & localization as a feature.
How to maximise text accuracy in your image prompts
- Specify “legible text”, “clear heading font”, “English + Hindi translation”.
- Include the text you want exactly: “Heading: ‘2025 AI Forecast’”.
- Use reference images with your brand font or style.
- Mention the placement: “Heading at top centre”, “sub-heading in small caps under icon”, etc.
- After generation, examine the text carefully: sometimes models still make minor errors (e.g., “t” looks like “f”). Use editing tools or generate a second round if needed.
Image generators with real-time data grounding: what that is & why it’s important
Up to now, many image-generation tools are “static”: you type a prompt, the model uses its training data (up to a cutoff date) and generates something. But what if you want visuals that reflect real-time or up-to-date information — for example “stock market trend as of today”, “global weather-map current”, or “sports scoreboard live”? That’s where data grounding or real-time grounding comes in.
What is grounding?
In AI, “grounding” means linking abstract model knowledge to real-world, specific information or data sources. It can be retrieving live data, referencing actual facts, maps, current stats, and embedding that into the generation.
So an image generator with real-time data grounding can produce visuals that are not just imaginative, but fact‐based, up‐to‐date, and contextually accurate.
Why this matters
- For diagrams and infographics: you might need to show “market share latest quarter”, “COVID vaccination by region today”, “weather front map now”.
- For business/education: visuals that reflect real data are more credible.
- For marketing/social media: timeliness is often a big factor in engagement.
How Nano Banana Pro supports grounding
Google’s description explicitly says Nano Banana Pro can connect to Google Search’s knowledge base and supports diagrams with real-world context and “real-time information like weather or sports”.
Thus you can prompt: “Generate a diagram showing wind-energy capacity by country, 2024 data, map layout, heading, brand colours.” The model may reference current data. That sets it apart from purely imaginative generation.
Other tools & comparisons
While many infographic tools allow import of spreadsheets, not many image-generators allow live real-time data retrieval within the prompt. So if you want speed + data accuracy + visuals, a tool like Nano Banana Pro is ahead. But remember: always check the data for accuracy — AI tools may generate plausible but incorrect visuals.
Example workflow
You’re creating a blog post about “Live global carbon emissions by country (2025)”.
- Within Gemini + Nano Banana Pro: Prompt “Generate world map infographic, title ‘Global CO₂ Emissions 2025’, data for top 10 emitters, colour scale from green to red, legible labels English+Hindi, 2K resolution.”
- Review: check the map visually, see if colour scale is correct, ensure label clarity.
- Export and embed.
Google’s SynthID watermark for AI images: transparency, trust & practicalities
As AI-generated visuals become widespread, issues of transparency, authenticity, misuse (deepfakes), copyright and provenance become important. That’s where Google’s watermarking system SynthID comes in.
What is SynthID?
- Developed by Google DeepMind, SynthID embeds an invisible digital watermark into AI-generated images (and increasingly other modalities like text, audio, video) so that later tools can detect “this was AI-generated by Google’s model”.
- In the context of Gemini / Nano Banana, every generated or edited image includes a visible watermark and this invisible SynthID mark.
- Google has a “SynthID Detector” portal that lets you upload an image and check if it carries the watermark.
Why this matters in content creation
- Ethics & trust: Users and viewers can know an image is AI-generated, which helps preserve authenticity.
- Copyright & responsibility: If a visual spreads online, its origin is traceable, mitigating misuse.
- Compliance and brand: Businesses often need to show provenance of assets; a watermark helps.
- Detecting tampering: While not foolproof, watermarking adds a layer of detection for altered or mis-used images.
Practical notes
- When you generate with Nano Banana Pro, expect the visible watermark unless you have a tier/licensing that allows its removal (check policy).
- The invisible watermark cannot be easily removed without detection (though research shows watermarking methods have vulnerabilities).
- If you’re using the visuals for client/public work, you may want to decide how to disclose “AI-generated image” to maintain transparency.
- For internal use (drafts), you might export without watermark if permitted; check Google’s license terms.
Example scenario
You produce a slogan-image for social media: Using Nano Banana Pro you generate the visual. Before publishing, you mention: “Image generated with Google Gemini’s Nano Banana Pro (visible watermark included)”. If someone later queries provenance, the invisible SynthID mark reveals origin. It’s a best-practice for transparency.
Final verdict & tips for creative/marketing use
So, after walking through all of this, what’s the bottom line? And how should you integrate this into your workflow?
Verdict
If you’re a content creator / designer / marketer / educator who works with visuals, diagrams, infographics or brand assets, Nano Banana Pro + Gemini is a powerful addition to your toolkit. The combination of professional-grade image generation, excellent text rendering, data grounding, and built-in watermarking makes it a serious option — not just a gimmick.
That said:
- It’s not a complete replacement for specialised infographic/diagram software if you require data pipelines, interactive charts, large complex diagrams, or team workflows with many references. In those cases, using infographic-specific tools (like Canva, Venngage, Piktochart, Napkin AI) still makes sense.
- Because it’s advanced, some cost or access tier may apply. Evaluate your budget and usage.
- You still need human oversight: verify data, check text accuracy, refine style. AI is powerful, but not perfect.
- If you publish commercially, check license/usage rights, watermark rules, attribution.
Tips for best usage
- Always begin with a clear prompt: subject, style, text, colours, aspect ratio, resolution.
- Upload your brand assets (logo, colour palette, fonts) as references for consistency.
- Use the edit cycle: generate → review → refine. Especially for text inside visuals.
- For infographics with data: have fact-checked numbers ready; AI will layout, but you supply the content.
- Think about format & destination: social post (1080×1920), blog banner (1920×1080), print (4K).
- Save your prompt library: once you find prompts that work well, reuse/adapt them.
- For team collaboration: export high-res images to your shared drives, annotate via design tools.
- Be transparent: if you’re sharing or publishing with AI-generated visuals, note it (even if the watermark is embedded). Builds trust.
- Monitor subscription/usage limits: Free tiers may have quotas or lower resolution.
Conclusion
If you’re serious about producing visuals in 2025 that look high-quality, are brand-consistent, include legible text and handle real-world information—then Nano Banana Pro inside the Gemini app is a tool worth adding to your arsenal. Use it alongside your infographic tools, treat it like a design partner rather than a magic wand, and you’ll be able to create standout visuals faster and smarter than ever before.
FAQs Related to Nano Banana Pro
Here are five (well—six!) commonly searched questions — answered concisely and optimized for featured-snippet style.
What is Nano Banana Pro in the Gemini app?
Nano Banana Pro is the advanced image-generation and editing model from Google DeepMind inside the Gemini app (via the “Thinking” model option). It enables studio-quality visuals with better text rendering, higher resolution, world-knowledge grounding, and control over camera/light/style.
How do I switch to Nano Banana Pro in the Gemini app?
In the Gemini app, select the “Create images” tool, then choose the “Thinking” model (rather than the default “Fast”). Make sure your subscription tier supports “Pro” features. Then either upload a reference image or write a detailed prompt.
Can Nano Banana Pro handle text inside images and multiple languages?
Yes. One of its key improvements is high-quality, legible text rendering and support for multilingual labels. You can include in the prompt that you want English + Hindi or other languages.
What makes an AI diagram/infographic tool “best” in 2025?
The best tools allow you to turn data or text into visuals quickly, offer smart templates, strong AI assistance, export options, collaboration/team features and ideally real-time data integration. For example, Napkin AI, Piktochart, Infogram, Venngage, Canva AI are leading.
What is the SynthID watermark and why should I care?
SynthID is Google’s invisible digital watermark embedded in images (and other media) generated or edited by their AI models. It helps identify content as AI-generated, supports transparency and provenance, and is used alongside a visible watermark.
Can I create visuals with real-time data (grounded) in Nano Banana Pro?
Yes — Nano Banana Pro supports world-knowledge grounding and can use prompts that reference real-world data (e.g., weather, maps, sports, etc.). You should verify the actual data, but the tool is capable of integrating that grounding.