faborsky

Nanobonana Agent Public — AI skill for Claude Code

AI community

CLI tool for AI image generation using Google Gemini.

How to install Nanobonana Agent Public

This entry records only its repository, not the path inside it, so there is no exact command to give. Open faborsky/nanobonana-agent-public and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Nanobonana Agent Public does

CLI tool for AI image generation using Google Gemini. Single & batch generation, visual references, image analysis. Designed for AI agent orchestration. Course material for Vibe Coding for Marketers.

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README

⚠️ Tento repozitář byl přesunut

**Aktuální verze žije na [github.com/faborsky/nanobanana-app](https://github.com/faborsky/nanobanana-app).**

Tenhle repozitář je archivovaný a **už nefunguje** — modely, na které se odkazuje (`gemini-3-pro-image-preview` a `gemini-2.0-flash`), Google v červnu 2026 vypnul.

Nová verze má aktuální modely, hlášení ceny za obrázek, dávkové zpracování, testy a **přibalený skill pro Claude Code**. Pokračuj tam: **→ https://github.com/faborsky/nanobanana-app**


Nanobanana

CLI tool for AI image generation powered by **Google Gemini 3 Pro Image** model. Designed to be orchestrated by AI coding agents like [Claude Code](https://docs.anthropic.com/en/docs/claude-code), but works great standalone too.

Supports single image generation, batch processing from JSON job files, visual references, and image-to-prompt analysis.

**Course material** for [Vibe Coding for Marketers](https://vibecodingformarketers.com) — a hands-on course teaching marketers to build real tools with AI.

Features

  • Single generation — generate one image from a text prompt
  • Batch processing — generate multiple images from a JSON job file with progress tracking
  • Visual references — use a reference image to guide style and content
  • Image analysis — describe an existing image to create reusable prompts
  • Flexible output — choose aspect ratio (10 options), resolution (1K/2K/4K), and format (WebP/PNG/JPEG)
  • Retry logic — automatic exponential backoff on API failures
  • Graceful interrupts — Ctrl+C stops batch processing cleanly after the current job

Requirements

  • Python 3.11+
  • Google Gemini API key (free to get — see below)

Getting your API key

  1. Go to Google AI Studio
  2. Sign in with your Google account
  3. Click "Create API key"
  4. Select or create a Google Cloud project (the free tier is sufficient)
  5. Copy the generated key — it starts with AIzaSy...

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