Nano Banana 2 Starter Guide

Understanding Nano Banana Pro

Gemini 3 Pro Image (branded as Nano Banana Pro) represents a substantial upgrade in AI image generation specifically designed for commercial applications. Unlike basic generation tools, this model includes dedicated expert layers for text rendering, layout composition, color accuracy, and identity consistency.

The core advantage lies in multi-step internal planning: the model first establishes layout structure, then handles spatial alignment, fits text elements, and simulates lighting conditions. This architectural approach produces more reliable results for commercial work where brand consistency and technical precision matter.

This guide covers the systematic framework for testing, implementing, and scaling Gemini 3 Pro Image for marketing and ecom campaigns.

Technical Specifications & Access

Model Capabilities: Text-to-image, image-to-image editing, multi-image composition (up to 14 images), consistent identity rendering (up to 5 people)

Resolution Options: 1K, 2K, 4K output (higher resolution consumes more credits)

Key Features: Typo-free multilingual text, print-quality resolution, non-destructive editing, real-time data integration via Google Search/Weather, SynthID watermarking

Access Points: Gemini app (select "Thinking" model under Create Images), AI Studio, Gemini API, Vertex AI, third-party platforms.

Pricing Structure: Free tier provides limited low-resolution generations. Full 2K/4K requires Gemini Pro/Ultra subscription or paid API access (approximately $0.15 per 4K image).

The Testing Framework: 4 Core Validation Tests

Before scaling production, establish baseline performance through structured testing.

Why? Every product is different and sometimes AI is better in certain categories/contexts vs others.

Test 1: Text Fidelity Validation

Generate a standard ecommerce banner to verify text rendering quality across hierarchies.

Prompt Template:

Create a clean ecommerce banner in [brand style] with three text blocks:
Headline: 'End-of-Season Sale' (largest)
Subheadline: 'Up to 50% off selected styles'
Fine print at bottom: 'Online only. Ends Sunday.'
Layout: 1:1 square, white background, simple sans-serif fonts.

Evaluation Criteria: Spelling accuracy, kerning consistency, appropriate line breaks, legibility at reduced sizes.

Test 2: Brand Consistency Check

Upload your brand logo and existing reference creative, then request new creative maintaining exact brand elements.

Prompt Structure:

Generate new ad keeping the logo exactly as uploaded. Use brand colors [hex codes] and [font specifications]. Create [specific scene description].

Scoring: Assess logo distortion, color drift, typography matching, overall brand alignment.

Test 3: Product Rendering Quality

For each priority SKU, generate three variations: isolated packshot on white background, lifestyle context shot, multi-product bundle composition.

Evaluation Points: Material realism (reflections, textures), label readability, geometric accuracy, absence of visual artifacts.

Production Workflow: Lifestyle Hero Images

This pattern generates homepage heroes and product detail page imagery combining product and lifestyle elements.

Hero Image Prompt Template

Create a hero image for the homepage of [BRAND], selling [product category].

Scene: a realistic lifestyle setup in [environment: sunlit kitchen / cozy living room / city rooftop].

Include one person who matches [target audience description], interacting naturally with the product.

The product [describe specifications] should be clearly visible, well lit, and not distorted.

Overall mood: [adjectives: warm, aspirational, trustworthy].

Color palette: follow the attached brand style reference.

Text:
- Large headline at top center: '[Brand promise]'.
- Smaller supporting line under headline: '[Short benefit sentence]'.
- No other text on the image.

Aspect ratio 16:9, 4K resolution, export-ready for web hero banners.

Implementation Strategy: Generate multiple variants changing only headline copy while maintaining all other elements. This enables rapid A/B testing of messaging positioning without reproducing entire scenes.

Carousel Production Pattern

Leverage identity consistency for multi-slide Instagram carousels and story sequences.

Slide 1 (Hook) Prompt

Design Slide 1 of a 5-image Instagram carousel for [BRAND] launching a new [product].

Focus: big, bold claim '[HOOK]'.

Product appears as a subtle background element only.

Text hierarchy: huge main line, tiny logo top left, no additional copy.

Style: same fonts/colors as the attached style reference.

Aspect ratio 4:5, 2K.

Keep layout simple and scroll-stopping.

Subsequent Slides Prompt

Using the same style and palette as Slide 1, generate Slide 2 of 5.

Headline: '[Benefit 1]'.

Visual: zoomed-in detail of [product feature].

One short caption at bottom: '[1-line explanation]'.

Keep fonts, logo placement and margins exactly consistent with Slide 1.

Process: Repeat pattern with different benefit statements and calls-to-action. The model's layout planning maintains carousel coherence across slides.

Oh and btw it’s suuuuper good at “realistic”, “UGC-feel” imagery. Check this out:

Critical Prompting Principles

Structure Over Vibe: Provide explicit layout instructions rather than mood descriptions alone. Example: "infographic with three sections: top heading, middle image, bottom bullets" outperforms "infographic about product benefits."

Text Hierarchy Specification: Define relative importance clearly using terms like "centered heading," "smaller subtitle under it," "tiny legal strip at bottom right."

Sequential Single Changes: Make one modification per prompt iteration. Use phrasing like "keep everything else identical, but..." to maintain stability.

Multi-Image Reference: Upload 3-6 reference images for optimal consistency, then use verbal prompts to direct composition and mood.

Control Word Precision: Leverage specific descriptors: "soft studio lighting," "wide shot," "shallow depth of field," "glossy reflective packaging."

As this is a pretty lengthy SOP, you can find the rest in Notion in the link below.

Access the full SOP here

• Empathy is now a revenue lever as brands that hard wire it into CX, training, and AI handoffs win higher loyalty, retention, and pricing power.

• Gmail’s new Gemini Help me schedule reads the thread, proposes times from your calendar, inserts them in your reply, then auto creates the invite once a slot is picked.

• NotebookLM’s Deep Research turns your question into a multi step web dive, then writes a source backed briefing you can drop into notes across Docs, Sheets, PDFs and more.

• Gemini 3 signals Google pulling ahead in consumer AI with cheaper infra, multimodal data moats and Maps or Gmail hooks while OpenAI races to escape the chatbot paradigm.

• Genspark raises 275 million at a 1 point 25 billion valuation to build an all in one AI agent layer for work that aims to outpace Copilot and Gemini on speed and coverage.

• Metricool mined 5 million TikToks, Reels and Shorts to show what really boosts watch time and replays so brands can design short video that wins those split seconds of attention.

• Reddit mods quietly decide which posts shape SERPs, AI answers and buyer trust so winning on Reddit means understanding their rules, tools and incentives, not gaming the algo.

• Anthropic shows reward hacking in code tasks can grow into deception and sabotage then uses inoculation prompts to sharply cut misalignment, raising the bar for AI safety.

• Opus 4.5 beats GPT and Gemini on SWE Bench, manages long chats with auto summaries, hardens against prompt injection and slashes API costs for serious coding use.

• Google now injects sponsored results into AI Mode answers, merging ads with assistant style search and opening a new, high intent surface for performance marketers to fight over.

• One marketer pushed dozens of strong but buried posts to page one just by refreshing publish dates, proving how freshness signals still quietly move the SEO needle.

• Perplexity introes memory in Comet

• Ahrefs finds AI tools mention brands a lot but link less often, yet those links cluster on high volume queries so classic keyword SEO still drives outsized AI visibility.

  Perplexity has been busy:

• Perplexity’s new shopping chat lets US users describe what they want, refine picks, see curated cards and check out with PayPal in one thread, no tab hopping.

• Perplexity Pro and Max users can upload a photo, spin up an avatar and virtually try on clothes while chatting, shrinking the gap between product discovery and buy.

• Perplexity now remembers your threads, interests and brands across models so you can pick up weeks later with full context instead of rebuilding every conversation.

🧑 Taskade Custom AI Agents - Specialized tools designed to automate routine activities like research, task management, and content creation

📝 Superlist - Create to-do lists, capture thoughts or detailed notes, assign tasks to teammates, and more

🖊️ Copywriter: Helps write engaging ad copy to drive action.

📖 Stori AI: Create and publish branded content effortlessly. Reach your audience across multiple channels and make a lasting impression.

🪄 Magic Documents: Organize, rename, summarize, and extract key data from any document with AI.

⁉️ My Ask AI - Let AI answer 75% of customer support emails.

😍It was great, all I needed

🙂Good, not great

🙄It sucked