🍌 The Nano Banana Cheat Sheet (v2 & Pro)
Article summary
Quick briefing — cleaned from the original RSS feed
Nano Banana models (built on the Gemini 3 family) are advanced image generation and editing models that use deep reasoning to understand your prompt before generating a pixel. Core Capabilities at a Glance Resolution & Ratio: Up to 4K resolution. Supports custom aspect ratios (16:9, 9:16, 21:9, 1:1, and more). Multimodal Input: Mix up to 14 reference images alongside text/PDF documents (up to 131k tokens for Nano Banana 2). Real-time Data: Connected to web search for generating images based…
1Key Takeaways
- Nano Banana models (built on the Gemini 3 family) are advanced image generation and editing models that use deep reasoning to understand your prompt before generating a pixel.
- Core Capabilities at a Glance Resolution & Ratio: Up to 4K resolution.
- Supports custom aspect ratios (16:9, 9:16, 21:9, 1:1, and more).
- Multimodal Input: Mix up to 14 reference images alongside text/PDF documents (up to 131k tokens for Nano Banana 2).
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that nano Banana models (built on the Gemini 3 family) are advanced image generation and editing models that use deep reasoning to understand your prompt before generating a pixel.
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