Nano Banana is a next-generation Google model for controllable image editing through natural language. It performs precise inpainting/outpainting, object edits, and multi-step, conversational refinements.

What edit types does it support?

It supports background replacement, object addition or removal, relighting, color grading, style shifts, layout-aware outpainting, and text-guided maskless edits with optional reference images.

Is there a public API?

A preview experience is available with limited access. A public API is planned, with usage-based pricing and guardrail features.

Nano Banana — Google’s Next-Gen Image Editing AI

Q: How does it compare to FLUX Kontext?

Compared to FLUX Kontext, Nano Banana is designed for stronger prompt following, finer edit locality, and more stable multi-pass refinement, especially on complex scene edits and identity-preserving changes.

Built for creators and product teams who need precise, controllable, and consistent image edits. From mask-free inpainting to layout-aware outpainting and background replacement, Nano Banana is engineered to surpass FLUX Kontext in prompt following, edit locality, and multi-step conversational refinement.

Try the Preview View Docs

Mask-Free

Text-guided local edits

Hi-Fidelity

Identity & style preserved

Conversational

Multi-turn refinements

Guardrails

Safety filters & watermark

Core Features

Precision Inpainting

Insert, repair, or transform regions with natural language. Strong prompt fidelity keeps geometry and materials consistent.

Layout-Aware Outpainting

Expand canvases while preserving perspective, lighting, and scene logic for product photos, concept art, and composites.

Semantic Backgrounds

Replace or relight backgrounds with style and palette control, from clean studio shots to cinematic scenes.

Maskless Local Edits

No pen tool required. Describe the subject, attributes, or bounding hints; Nano Banana scopes the edit for you.

Reference-Guided Styling

Carry identity or art direction across edits with optional reference images for consistent branding and characters.

Conversational Workflow

Iterate step-by-step: “darker suit”, “softer light”, “shift camera lower”—the model tracks history for stable outcomes.

How It Works

Multimodal Understanding

A visual-text encoder aligns scene structure with your instruction, enabling fine-grained, localized controls without manual masks.

Stable Multi-Pass Refinement

Edits compile across turns with artifact reduction, ensuring consistent textures, edges, and color continuity across large areas.

Trust & Safety: outputs include invisible provenance signals and are screened by policy filters for sensitive or restricted edits.

Use Cases

E-commerce

Swap backgrounds to seasonal sets, standardize lighting, and localize props—at scale and on-brand.

Marketing & Social

Rapid creative variants with controlled style and safe, policy-aligned edits for campaigns.

Design & Concept

Explore alternatives quickly: materials, camera, colorways—without resetting your entire composition.

Comparison: Nano Banana vs. FLUX Kontext

Capability	Nano Banana	FLUX Kontext
Prompt Following	Strong semantic grounding for detailed instructions	Robust, particularly for context-aware edits
Edit Locality	Maskless, text-scoped regions; minimal spill	Good locality with context prompts
Multi-Turn Stability	Consistent textures across iterative steps	Solid, may require re-prompts for long chains
Background Replacement	Layout-aware with relighting	Reliable, style-aware scenes
Identity/Style Preservation	Optional reference guidance	Contextual cues; depends on prompt quality
Guardrails & Provenance	Safety filters + invisible provenance marks	Model-dependent safeguards

This comparison is directional and based on the targeted design goals of Nano Banana and well-known strengths of FLUX Kontext for context-aware editing.

Best Practices

Be Specific

Mention subject, attributes, and the region to change. Example: “Remove the red can on the left; extend marble counter by 30%.”

Iterate in Small Steps

Apply a sequence of focused edits (lighting → color → composition) for maximum consistency.

Use References

Provide a brand palette or subject photo to preserve identity and style across edits.

Try the Preview

Access the limited preview to experiment with inpainting, outpainting, background replacement, and conversational refinements. Availability may be restricted.

Documentation

Quickstart

POST /v1/images/edits
{
  "image": "input.jpg",
  "prompt": "Replace background with a sunlit studio, keep product reflections natural.",
  "steps": [
    "soft key light",
    "extend floor 20%",
    "cooler white balance"
  ],
  "reference": "brand_look.png"
}

Safety & Compliance

Policy filters for sensitive content
Invisible provenance signals on outputs
Respect IP and likeness rights

Frequently Asked Questions

Does it require masks?

No. You can guide local edits via text. The model aligns language with regions and edges automatically.

Can I chain edits?

Yes. Nano Banana supports multi-turn conversations where each step refines the last without drifting.

Is it production-ready?

A preview is available. Production access will include usage tiers, rate limits, and enterprise guardrails.

How does it compare to FLUX Kontext?

Nano Banana targets stronger prompt adherence and edit locality, especially for complex scenes and identity-preserving changes.

Last updated: August 14, 2025