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Nano Banana 2

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Quick reference
Nano Banana 2 — TLDR
  • 🖼️ Editing variant of Google's Nano Banana 2 image model
  • 🎯 Precise inpainting with identity and detail preservation
  • 🏢 Built by Google
  • 🎨 Targeted edits without disturbing surrounding content
  • ⚡ Newer-generation editing at an accessible price
💰 Pricing
$0.100
per edit
📅 On Venice since
Feb 26, 2026
98 days ago
Provider

Google is an American multinational technology corporation and one of the world's most valuable brands. A subsidiary of parent company Alphabet Inc., Google operates across search, cloud computing, consumer electronics, and artificial intelligence. Its…

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25 models on Venice
10 text · 8 video · 2 image · 2 inpaint · 1 music · 1 embedding · 1 tts
Since Oct 15, 2024

About this model

Nano Banana 2 is the editing companion to Google's Nano Banana 2 image generator, purpose-built for inpainting tasks where you mask a region of an existing image and regenerate just that area. Its defining strength is identity and detail preservation: faces, textures, and fine structure stay consistent with the original while the masked region is intelligently filled or replaced. Released in February 2026, it represents the newer generation of Google's Nano Banana editing lineup on the platform.

Within Google's catalogue here it sits alongside the Nano Banana 2 image model for generation from scratch, and the earlier Nano Banana Pro editing variant. The Nano Banana editors are a focused, image-only slice of a much broader Google lineup that also spans the Gemini text models, Gemma open weights, Lyria music, and Veo video generation.

This model is best suited for retouching, object removal or insertion, background changes, and localized fixes where keeping the rest of the image untouched matters. If you need to preserve a subject's likeness while altering one part of a composition, it's a strong, cost-accessible choice.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 1d ago