What is Nano Banana Pro? — Better text rendering, multi-image, and editing

What is Nano Banana Pro? — Better text rendering, multi-image, and editing

• Published: 2025/11/23

• Summary: Nano Banana Pro is Google DeepMind’s latest image generation and editing model built on Gemini 3 Pro. It renders multilingual text more accurately, supports up to 14 inputs for composites, enables local edits, and outputs up to 2K/4K. It will roll out across Google products, and SynthID watermarks are embedded by default.

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• See prompt collection (Pro)

Table of Contents

1. Positioning of Nano Banana Pro
2. What it can do (3 pillars)
3. Where to use it (products)
4. Representative use cases and samples
5. FAQ

1. Positioning of Nano Banana Pro

• Image generation/editing model that uses Gemini 3 Pro reasoning and world knowledge to visualize information with context.
• Evolved from Nano Banana (Gemini 2.5 Flash Image); strong at educational diagrams/infographics and real-world knowledge visualizations.
• Major readability gains for text inside images. High rendering fidelity for long-form text, typography, and calligraphy across languages.
• Multi-image compositing supports up to 14 inputs and up to 5 people while keeping visual consistency in complex layouts.
• Stronger local editing/photographic control (depth of field, focus, lighting, day-to-night, aspect ratio changes, etc.). Final output up to 2K/4K.
• SynthID digital watermark embedded for transparency; optional visible watermark per layer.

What is Nano Banana Pro — 60s overview with text-on-image examples

2. What it can do (3 pillars)

2-1. Text rendering (multilingual, long-form, decorative)

• Renders headline-to-body text accurately for posters/mocks/infographics.
• Handles multilingual translation/localization.

Examples:

• Signboard/poster: readable bold headline + body copy
• Multilingual packaging: keep layout while translating EN → KO
• Logo/type styling: calligraphy-like expression, retro print texture

2-2. Multi-image compositing (up to 14 images, 5 people consistency)

• Blend sketches → product renders, blueprints → 3D-like photos while keeping consistency.
• More robust for outfit swap/face swap/lifestyle compositing.

Examples:

• Try-on A+B: apply tuxedo from B to subject A naturally
• Person with multiple angles: keep same appearance across angles
• Product composite: merge multiple materials into one ad key visual

2-3. Editing workflow (local edits, photographic control, high resolution)

• Select regions/local edits; camera angle/depth of field/color/lighting; day→night conversions.
• Change aspect ratios (square/portrait/landscape) smoothly; output up to 2K/4K.

Examples:

• ID/EC background replacement (keep natural hair edges/shadows)
• Cinematic lighting (chiaroscuro, night conversion)
• Aspect ratio optimization for social → print

3. Where to use it (products)

• General/students: Rolling out in Gemini app “Image creation (Thinking model)”. Falls back to original Nano Banana after free quota. NotebookLM included.
• Professionals: Upgrade Google Ads image generation to Pro. Workspace rollout to Slides/Vids.
• Developers/enterprises: Gemini API / Google AI Studio / Vertex AI. Antigravity for rich UX layouts.
• Creators: Flow for AI video production.
• Transparency (SynthID): Invisible watermark on all Google-generated media; visible watermarks by audience. Gemini app can detect AI from uploads.

4. Representative use cases and samples

(See more examples here.)

4-1. Text on image (poster/mock)

Task: ecommerce poster
Text: "BLACK FRIDAY -20%" (top-left, bold sans-serif), CTA "Shop Now →" (bottom-left)
Layout: text left, product right; high contrast; grid-based
Locale: en/ja/ko variants

4-2. A+B compositing (try-on)

Image A: subject to keep (face and body)
Image B: black tuxedo reference
Compose: apply tuxedo from B to A; align lapels and collar; match sleeve length; seamless color match
Blend: medium

4-3. Background editing (ID/EC)

Mode: edit
Task: replace background with seamless light gray (ID) / pure white (EC)
Keep: hair edges and natural shadow

4-4. Infographic (uses world knowledge)

Task: infographic
Content: [topic text or facts]
Ask: accurate, context-rich layout; bilingual labels; source note area

5. FAQ

• Q1. What’s new vs. the previous version?
  A. Better text readability across languages, up to 14-image composites with up to 5 consistent people, stronger local edits/photographic controls, and 2K/4K output.
• Q2. Commercial use?
  A. Follows the product/contract you use (Google Ads/Workspace/API, etc.). Check SynthID source-display policy.
• Q3. Text warps?
  A. Use short, bold headlines; center/left align; specify line count. Keep style/texture prompts concise—this is Pro’s strength.
• Q4. Composites look off?
  A. Clarify A/B roles, try blend: medium → medium-low, and add region if needed.