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Flagship Reference Editing

Nano Banana 2 For Reference-Driven AI Image Editing

Use multiple reference images, keep visual consistency, and steer complex edits with stronger reasoning, web search, and image search when needed.

Try This Model NowView Pricing
8 est. credits

Why Choose This Model

Nano Banana 2 is the best fit when your task needs consistency, controlled edits, and stronger prompt understanding across multiple source images.

Consistent Across Multiple Inputs

Keep the same subject, style, or product language across several generations instead of restarting from scratch every time.

Better Reference Image Editing

Blend and edit up to multiple references to preserve identity, composition cues, and visual direction with less prompt trial and error.

Search and Reasoning When You Need It

Enable web search, image search, and stronger thinking for harder edits, trend-led visuals, or production tasks that need more control.

Best-Fit Use Cases

This model performs best when the image task is not just one-shot generation, but an iterative editing workflow with direction and constraints.

Storyboard and sequence frames

Create a series of visuals that feel like they belong to the same campaign, scene, or character arc.

Product image iterations

Keep the same product identity while changing angle, lighting, background, or campaign treatment.

Character and style consistency

Useful for social creatives, comic-like sequences, and branded visual systems where consistency matters more than raw speed.

Showcase Directions

These cards focus on prompt directions and in-house example visuals instead of hotlinking third-party generated images.

A bold automotive poster with bright yellow typography.
adstypography4K

Ad Creative at Scale

Use Nano Banana 2 for campaign visuals that need sharp text, strong hierarchy, and consistent product framing.

Prompt Direction

Create a premium mobile ad creative for a canned sparkling fruit drink. Vertical 9:16 layout, centered product, diagonal torn-paper reveal filled with fresh fruit, realistic condensation, brushed aluminum texture, clean negative space for headline, photorealistic studio lighting, brand-safe composition, sharp legible packaging text.

A cinematic cyber portrait with neon reflections.
editingportraitconsistency

Identity-Safe Edits

Great for upload-and-edit workflows where the face, pose, and camera angle need to stay intact while style changes.

Prompt Direction

Take the uploaded lifestyle portrait and make only these changes: replace the background with a cozy Paris cafe at golden hour, change the jacket from black leather to beige wool, correct the typo on the coffee cup to read "Bonjour", keep the face, pose, camera angle, and overall identity unchanged, photorealistic.

A surreal moonlit scene with a giant elephant and glowing trees.
storyboardmulti-panelbrand

Storyboards and Scene Logic

Useful when the output must preserve character continuity across multi-panel storyboards or multi-stage campaign scenes.

Prompt Direction

Using the same main character across four panels, create a storyboard of a young female founder building a skincare brand: sketching packaging in a studio, reviewing samples in a lab, filming a product reel, and celebrating launch day. Preserve face, hair, outfit identity, and product design consistency across all panels. Clean cinematic lighting, commercial storytelling style.

YouTube References

Selected videos that help visitors quickly decide whether the model fits their workflow.

How to Create UNLIMITED Image Ads with AI (Nano Banana 2)

Alex Cooper

How to Create UNLIMITED Image Ads with AI (Nano Banana 2)

Why it matters

A direct ad-production angle that supports the landing page promise around marketing output.

Open source
Edit ANY AI Image With This JSON Trick | Gemini Nano Banana 2

Teacher's Tech

Edit ANY AI Image With This JSON Trick | Gemini Nano Banana 2

Why it matters

Shows why Nano Banana 2 is more than first-pass generation and can stay useful during iterative editing.

Open source
Claude Code + Nano Banana 2 + Kling = $15K Animated Sites

Nick Saraev

Claude Code + Nano Banana 2 + Kling = $15K Animated Sites

Why it matters

Frames the model as a component inside higher-value creative delivery, not just an image toy.

Open source

Community Signals

Short summaries with direct links keep the page credible without adding heavy embeds.

X Post

Google AI Developers

Official launch: faster, cheaper, and stronger

Use this as authority proof when you need a clean official reference for the upgrade narrative.

Open source
X Post

Ashutosh Shrivastava

Community breakdown of the new capability set

Good source for summarizing the practical headline features users actually care about.

Open source
Reddit Thread

r/Google_AI

Google releases Nano banana 2

A straightforward release discussion that helps show how the launch landed with early users.

Open source
Reddit Thread

r/AICircle

Testing Nano Banana 2 for Realistic Food Product Visuals

Useful conversion proof for food, packaging, and ecommerce-oriented buyers.

Open source

Credits and Cost Expectations

Nano Banana 2 uses dynamic credits. Higher quality, more reference images, and optional search or stronger thinking increase the estimate before rounding.

GPT Image 2

Text rendering, poster design, product visuals, precise local edits

Compare model positioning

Nano Banana Pro

High-resolution output, commercial use, print materials

Compare model positioning

Frequently Asked Questions

These are the most common questions users ask before choosing Nano Banana 2 over faster or cheaper models.

When should I use Nano Banana 2 instead of other models?

Choose it when you care about reference fidelity, multi-image consistency, and more controlled edits. It is less about the cheapest generation and more about reliable production output.

Does it work well with multiple reference images?

Yes. This is one of its strongest use cases. It is well suited for preserving identity, style, or product cues across several source images.

Why does the credit estimate change?

The estimate changes with quality, reference image count, and enabled options such as web search, image search, or stronger thinking. The final displayed estimate is rounded to an even number of credits.

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