What exactly is “Nano Banana”?

“Nano Banana” is the friendly name for Gemini 2.5 Flash Image, Google’s state‑of‑the‑art model for:

• High‑quality text‑to‑image (concepts, scenes, products, mockups).

• Targeted transformations of existing photos using natural language (no manual masks required for most tasks).

• Multi‑image blending (combine 2–3 inputs to borrow styles, layouts, or objects).

• Character & style consistency across a sequence of images.

• Sharper, more reliable text rendering (posters, UI, labels, signage), a long‑standing pain point in other models.

• Enterprise access via Gemini API and Vertex AI, including safety features and watermarking.

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See It in Action

Whether you're building a multilingual website, crafting product pages, or creating visual stories — the AI Assistant helps you get there faster, with better quality and less effort.

How Nano Banana works (in practice)

You describe the change; the model figures out where and how much to edit.

1. Understand: It analyzes the input(s)—your prompt + one or more images—building a scene graph: subjects, materials, lighting, perspective, and any written text.

2. Locate: From that understanding, it infers the regions that should change (e.g., “replace the sky with sunset clouds,” “put our logo on the mug,” “turn this into a toy‑box figurine”). You don’t usually paint masks.

3. Transform: It synthesizes just the needed pixels and harmonizes them with the untouched areas: matching lighting, shadows, and grain so the edit feels native.

4. Constrain & finalize: Safety filters run, and an invisible watermark is embedded. You get a ready‑to‑ship PNG.

In short: describe → locate → replace → blend. Compared to “regenerate the whole frame,” this approach preserves details you like and saves time.

What makes it best‑in‑class today

• Speed + price/performance: “Flash” tier models deliver quick turnarounds suitable for editorial workflows.

• Reliable localized edits: Natural‑language, region‑aware changes without fussy masks.

• Multi‑image fusion: Borrow a product silhouette from shot A, a surface texture from B, and a background from C.

• Consistent characters/props: Keep the same model, outfit, or mascot across a campaign.

• Text that actually looks like text: Posters, UI comps, and mock labels land with fewer garbled glyphs.

• Built‑in responsibility: Invisible SynthID watermarking + app‑level visible markers; enterprise guardrails via Vertex AI.

• Ecosystem reach: Works in Gemini apps, Google AI Studio, and enterprise stacks (and already popping up in creative tools).

Hands‑on: Nano Banana inside Optimizely CMS

This functionality is enabled through the Epicweb AI‑Assistant for Optimizely, ensuring that editors remain within the CMS.

Typical editor flow

1. Open any media from the Assets pane → choose AI Image Editor.
   
   
   

2. Pick a task: Generate new, Transform existing, Blend images, Clean background, Replace text.

3. Describe the change in plain language: e.g., “Swap the backdrop to a foggy Paris dawn. Keep the product color unchanged.”

4. Review variations → Save as new asset with auto‑alt text + version notes.

5. Insert into blocks/pages. The assistant can also generate captions, summaries and schema markup.

Installation Guide

To enable the AI Assistant in your solution, follow these quick steps. Installation should be done by a developer with access to the source code.

1. Install via NuGet

Add the package using Optimizely's NuGet feed:

🔗 Epicweb.Optimizely.AIAssistant NuGet Package

dotnet add package Epicweb.Optimizely.AIAssistant