
nanobanana
Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro). Supports text-to-image, image editing, various aspect ratios, and high-resolution output (2K/4K). Use when user wants to generate images, create images, use Gemini image generation, or do AI image generation.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/resciencelab/opc-skills --skill nanobanana- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads nanobanana automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Nano Banana - AI Image Generation
Generate and edit images using Google's Gemini 3 Pro Image model (gemini-3-pro-image-preview, nicknamed "Nano Banana Pro" 🍌).
Prerequisites
Required:
GEMINI_API_KEY- Get from Google AI Studio- Python 3.10+ with
google-genaipackage
Install dependencies:
pip install google-genai pillow
Quick Start
Generate an image:
python3 <skill_dir>/scripts/generate.py "a cute robot mascot, pixel art style" -o robot.png
Edit an existing image:
python3 <skill_dir>/scripts/generate.py "make the background blue" -i input.jpg -o output.png
Generate with specific aspect ratio:
python3 <skill_dir>/scripts/generate.py "cinematic landscape" --ratio 21:9 -o landscape.png
Generate high-resolution 4K image:
python3 <skill_dir>/scripts/generate.py "professional product photo" --size 4K -o product.png
Script Reference
scripts/generate.py
Main image generation script.
Usage: generate.py [OPTIONS] PROMPT
Arguments:
PROMPT Text prompt for image generation
Options:
-o, --output PATH Output file path (default: auto-generated)
-i, --input PATH Input image for editing (optional)
-r, --ratio RATIO Aspect ratio (1:1, 16:9, 9:16, 21:9, etc.)
-s, --size SIZE Image size: 2K or 4K (default: standard)
--search Enable Google Search grounding for accuracy
-v, --verbose Show detailed output
Supported aspect ratios:
1:1- Square (default)2:3,3:2- Portrait/Landscape3:4,4:3- Standard4:5,5:4- Photo9:16,16:9- Widescreen21:9- Ultra-wide/Cinematic
scripts/batch_generate.py
Generate multiple images with sequential naming.
Usage: batch_generate.py [OPTIONS] PROMPT
Arguments:
PROMPT Text prompt for image generation
Options:
-n, --count N Number of images to generate (default: 10)
-d, --dir PATH Output directory
-p, --prefix STR Filename prefix (default: "image")
-r, --ratio RATIO Aspect ratio
-s, --size SIZE Image size (2K/4K)
--delay SECONDS Delay between generations (default: 3)
Example:
python3 <skill_dir>/scripts/batch_generate.py "pixel art logo" -n 20 -d ./logos -p logo
Python API
You can also use the module directly:
from generate import generate_image, edit_image
# Generate image
result = generate_image(
prompt="a futuristic city at night",
output_path="city.png",
aspect_ratio="16:9",
image_size="4K"
)
# Edit existing image
result = edit_image(
prompt="add flying cars to the sky",
input_path="city.png",
output_path="city_edited.png"
)
Environment Variables
| Variable | Description | Default |
|---|---|---|
GEMINI_API_KEY | Google Gemini API key | Required |
IMAGE_OUTPUT_DIR | Default output directory | ./nanobanana-images |
Features
Text-to-Image Generation
Create images from text descriptions. The model excels at:
- Photorealistic images
- Artistic styles (pixel art, illustration, etc.)
- Product photography
- Landscapes and scenes
Image Editing
Transform existing images with natural language:
- Style transfer
- Object addition/removal
- Background changes
- Color adjustments
High-Resolution Output
- Standard: Fast generation, good quality
- 2K: Enhanced detail (2048px)
- 4K: Maximum quality (3840px), best for text rendering
Google Search Grounding
Enable --search for factually accurate images involving:
- Real people, places, landmarks
- Current events
- Specific products or brands
Best Practices
Prompt Writing
Good prompts include:
- Subject description
- Style/aesthetic
- Lighting and mood
- Composition details
- Color palette
Example:
"A cozy coffee shop interior, warm lighting, vintage aesthetic,
wooden furniture, plants on shelves, morning sunlight through windows,
soft focus background, 35mm film photography style"
Batch Generation Tips
- Generate 10-20 variations to explore options
- Use consistent prompts for style coherence
- Add 3-5 second delays to avoid rate limits
- Review results and iterate on best candidates
Rate Limits
- Gemini API has usage quotas
- Add delays between batch generations
- Check your quota at Google AI Studio
Troubleshooting
"API key not found"
- Set
GEMINI_API_KEYenvironment variable - Or pass via
--api-keyoption
"No image in response"
- Prompt may have triggered safety filters
- Try rephrasing to avoid sensitive content
"Rate limit exceeded"
- Wait a few seconds and retry
- Reduce batch size or add longer delays
References
- references/prompts.md - Prompt examples by category
- examples/ - Example usage scripts
FAQ
What does the nanobanana skill do?
Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro). Supports text-to-image, image editing, various aspect ratios, and high-resolution output (2K/4K). Use when user wants to generate images, create images, use Gemini image generation, or do AI image generation.
How do I install nanobanana?
Run npx skills add https://github.com/resciencelab/opc-skills --skill nanobanana in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/nanobanana/ (personal) or .claude/skills/nanobanana/ (project).
Which AI agents can use nanobanana?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is nanobanana safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains nanobanana?
It is published by resciencelab in resciencelab/opc-skills. It has 2,935 recorded installs.
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