Not currently listed in Venice's public API catalog — last listed Jun 30, 2026. Delisted models may still respond to direct API calls.
GoogleGoogle·🖌️ Inpainting

Nano Banana Lite

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Quick reference
Nano Banana Lite — TLDR
  • 🍌 Editing variant of Google's lightweight Nano Banana image model
  • 🔧 Inpainting with identity and detail preservation
  • 💬 Mask-free editing via plain-language instructions
  • 👁️ Context-aware: preserves lighting, perspective, and surrounding detail
  • 🆕 Newest in the Nano Banana Lite family, released 2026
  • 🎯 Targets precise, selective edits without manual masks
  • 🏢 Built on Google's Nano Banana / Gemini image lineage
💰 Pricing
📅 On Venice since
Jun 30, 2026
17 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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30 models on Venice
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Since Oct 15, 2024

About this model

Nano Banana Lite is the editing-focused variant of Google's lightweight entry in the Nano Banana image family, paired with the generation model Nano Banana Lite. As an inpainting model, it specializes in modifying specific regions of an existing image while preserving identity and fine detail in everything left untouched. Like the broader Nano Banana line, it supports semantic ("mask-free") editing, where you describe the change in natural language and the model reasons about which pixels to alter rather than requiring a hand-drawn mask.

The defining Nano Banana approach is context-aware editing: the model interprets scene structure, spatial relationships, lighting direction, and perspective so edits blend seamlessly into the original photograph.

Within the family, it sits alongside the heavier editing siblings Nano Banana 2 and Nano Banana Pro, with the "Lite" naming indicating the lightweight entry in the lineup.

Because the official model card and primary documentation for this specific Lite editing variant are limited, the description here stays to verified family-level capabilities rather than benchmark claims or architecture details that lack primary confirmation.

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 17d ago