Nano Banana

Generate or edit images using Google's "Nano Banana" image models (Gemini 2.5 / 3.x image previews). Use this when the user explicitly asks for Gemini / Nano Banana / Nano Banana Pro, wants iterative image edits with reference inputs, or wants a different (often cheaper) image stack than the built-in image generation tool.

Nano Banana — Gemini Image Generation

A CLI skill for generating and editing images using Google's Gemini image models, marketed as "Nano Banana" and "Nano Banana Pro".

When to Use

Use this skill when the user explicitly asks for:

• "Nano Banana" / "Nano Banana Pro"
• "Generate the image with Gemini"
• Image edits / composition using one or more reference images
• Iterative edits in conversation ("now make her smile", "swap the background")

For generic "make me an image" requests with no provider hint, prefer your platform's built-in image generation unless the user has set Nano Banana as the default.

Model Map (Nano Banana names → Gemini model IDs)

Nickname	Model ID	Notes
Nano Banana Pro ← default	gemini-3-pro-image-preview	Highest quality, slower, multi-image edits
Nano Banana 3.1 Flash	gemini-3.1-flash-image-preview	Faster, newer, good for iteration
Nano Banana (classic)	gemini-2.5-flash-image	Original, cheapest, still solid

If unspecified, default to Pro.

Auth

Store the Gemini API key at ~/.openclaw/credentials/google/gemini_api_key (chmod 600).

Load it before invoking the CLI:

bash

export GEMINI_API_KEY=$(cat ~/.openclaw/credentials/google/gemini_api_key)

⚠️ Never log or echo the key. Never paste it into chat. If rotated, replace the file contents.

Get a key at: https://aistudio.google.com/apikey

CLI

Binary: ~/bin/nano-banana (Node.js). Source lives at <your-tools-dir>/nano-banana.js.

Generate from prompt

bash

~/bin/nano-banana "a person eating a red apple, photorealistic, warm light"
# Writes: ~/.../nano-banana-output/YYYY-MM-DD_HHMMSS.png
# Prints the absolute path on success.

Choose model / aspect / count

bash

~/bin/nano-banana --model pro "logo for a modern insurance agency, olive green"
~/bin/nano-banana --model flash --aspect 16:9 "morning marathon in a coastal city"
~/bin/nano-banana --model classic --count 4 "red pepper on a wooden table"
~/bin/nano-banana --aspect 1:1 --out /tmp/x.png "..."

Flags:

• --model pro|flash|classic|<full-id> (default: pro)
• --aspect 1:1|4:3|3:4|16:9|9:16|3:2|2:3 (best-effort prompt hint)
• --count N (1–4, default 1)
• --out <path> (only valid with --count 1)
• --out-dir <path> (default: <tools-dir>/nano-banana-output/)
• --quiet (print only resulting paths, one per line)

Edit with reference images

bash

~/bin/nano-banana --ref photo.jpg "put a red baseball cap on the person"
~/bin/nano-banana --ref a.png --ref b.png "merge the two images, library background"

How Your Agent Should Use This

1. Read the request and pick a model. "Pro" → pro. "Fast" / "Flash" → flash. Otherwise → pro.
2. Write the prompt in English. Gemini image models work best in English even when the chat is in another language. Translate any non-English description into a clear, descriptive English prompt.
3. Run the CLI via exec. Capture the output path.
4. Deliver the image by adding MEDIA:<path> on its own line in the reply (or use your platform's attachment convention).
5. Reply with a short caption + which model was used.

Example agent flow

User: "Draw a person eating a red apple."

bash

~/bin/nano-banana --aspect 4:3 \
  "A realistic portrait of a person taking a bite from a bright red apple, natural daylight, soft shadows, sharp focus, casual modern clothing, slight motion blur on the hand, warm color grading"
# → /home/<user>/.../nano-banana-output/2026-05-11_141815.png

Reply:

Here's the apple shot — Nano Banana Pro MEDIA:/home//.../nano-banana-output/2026-05-11_141815.png

API Contract (what the CLI does)

Under the hood, the CLI POSTs to:

text

POST https://generativelanguage.googleapis.com/v1beta/models/{model}:generateContent?key={KEY}

Body:

json

{
  "contents": [{"role": "user", "parts": [{"text": "<prompt>"}]}],
  "generationConfig": {
    "responseModalities": ["IMAGE", "TEXT"],
    "candidateCount": <N>
  }
}

Response candidates contain parts[].inlineData.{mimeType, data} (base64). The CLI decodes and writes to disk.

For reference images, additional parts with inlineData are prepended before the text prompt.

Errors & Gotchas

• PERMISSION_DENIED / API_KEY_INVALID → key rotated. Update the credentials file.
• RESOURCE_EXHAUSTED → free-tier quota hit. Wait, or switch to flash / classic.
• SAFETY block → response has promptFeedback.blockReason and no image. Rewrite the prompt and retry.
• No image in response → model returned only text. Usually means the prompt was ambiguous or refused. Add "generate an image of..." explicitly.
• Aspect ratio is best-effort — Gemini doesn't expose a strict aspectRatio field on image models, so the CLI appends a textual hint.

File Layout

text

<your-skills-dir>/nano-banana/
  SKILL.md                              ← this file
<your-tools-dir>/
  nano-banana.js                        ← the CLI implementation
  nano-banana-output/                   ← generated images
~/bin/nano-banana                       ← symlink to nano-banana.js
~/.openclaw/credentials/google/
  gemini_api_key                        ← the secret (chmod 600)