nano-banana-pro
Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Accepts text prompts and optionally images (for editing/transformation) as INPUT. Returns generated IMAGES as OUTPUT. Use when user asks to create, generate, edit, or draw images, infographics, visualizations, diagrams, charts, or illustrations. Excellent for data-accurate infographics and text rendering.
Best use case
nano-banana-pro is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Accepts text prompts and optionally images (for editing/transformation) as INPUT. Returns generated IMAGES as OUTPUT. Use when user asks to create, generate, edit, or draw images, infographics, visualizations, diagrams, charts, or illustrations. Excellent for data-accurate infographics and text rendering.
Teams using nano-banana-pro should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/nano-banana-pro/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How nano-banana-pro Compares
| Feature / Agent | nano-banana-pro | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Accepts text prompts and optionally images (for editing/transformation) as INPUT. Returns generated IMAGES as OUTPUT. Use when user asks to create, generate, edit, or draw images, infographics, visualizations, diagrams, charts, or illustrations. Excellent for data-accurate infographics and text rendering.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Nano Banana Pro Image Generator Generate images using Google's advanced Nano Banana Pro model (`gemini-3-pro-image-preview`). ## Prerequisites The user must have `GEMINI_API_KEY` environment variable set with a valid Google AI API key. ## Usage The script is located in the same directory as this SKILL.md file. Run it with `uv run`: ```bash uv run /path/to/skills/nano-banana-pro/generate_image.py "your prompt" -o output.png ``` When this skill is invoked, locate `generate_image.py` in the skill directory and run it. ### Parameters | Parameter | Required | Description | |-----------|----------|-------------| | `prompt` | Yes | Text description of the image to generate or transformation to apply | | `-o`, `--output` | Yes | Output filename (you decide the path based on context) | | `-i`, `--image` | No | Input image(s) for editing/transformation or as context/reference (can be used multiple times) | | `--aspect-ratio` | No | One of: `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, `21:9` (default: `1:1`) | | `--size` | No | Image size: `1K`, `2K`, `4K` (default: `1K`) | ### Examples Basic image generation: ```bash uv run generate_image.py "A sunset over mountains" -o sunset.png ``` Infographic with specific aspect ratio: ```bash uv run generate_image.py "Infographic showing the water cycle with labeled stages" -o water_cycle.png --aspect-ratio 9:16 ``` High-resolution ultrawide: ```bash uv run generate_image.py "Professional photo of a modern office space" -o office.png --aspect-ratio 21:9 --size 4K ``` Edit an existing image: ```bash uv run generate_image.py "Add a sunset sky to this image" -i photo.png -o edited.png ``` Transform with style: ```bash uv run generate_image.py "Make this look like a watercolor painting" -i input.jpg -o watercolor.png ``` Combine multiple images: ```bash uv run generate_image.py "Create a collage blending these images together" -i img1.png -i img2.png -o collage.png ``` Use image as context/reference: ```bash uv run generate_image.py "Generate a new landscape in the same style as this reference" -i reference.png -o new_landscape.png ``` ## Model Capabilities Nano Banana Pro excels at: - **Accurate infographics** with real data (uses Google Search grounding) - **Text rendering** in images - **Image editing and transformation** from input images - **Context-aware generation** using reference images for style, composition, or subject - **Cartographic visualizations** and maps - **Detailed instruction following** - **Chain-of-thought reasoning** for complex visual tasks ## Output The script prints: - Progress message while generating - Path to saved image on success - Any text response from the model - Error message if no image was generated
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