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nanobanana

nanobanana

github.com/resciencelabCreative & media1.9k2.9k installsUpdated 1d ago
Repository

About nanobanana

nanobanana is an image generation and editing skill built around Google's Gemini 3 Pro Image model. It supports prompt-based edits, batch generation, multiple aspect ratios, and output up to 4K.

Key features

  1. 01Generate images from text prompts
  2. 02Edit images with natural language
  3. 03Choose from multiple aspect ratios
  4. 04Standard, 2K, and 4K output
  5. 05Generate batches with sequential names
  6. 06Optional Google Search grounding

Use cases

  1. 01Create product photos or stylized illustrations
  2. 02Change an image's background or colors
  3. 03Generate images in different compositions
  4. 04Explore logo concepts in batches

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/resciencelab/opc-skills --skill nanobanana

After installing, type/nanobananain Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

.claude-plugin/
plugin.json
references/
prompts.md
scripts/
batch_generate.py
generate.py

Details

From the project README

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-genai package

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/Landscape
  • 3:4, 4:3 - Standard
  • 4:5, 5:4 - Photo
  • 9:16, 16:9 - Widescreen
  • 21:9 - 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

VariableDescriptionDefault
GEMINI_API_KEYGoogle Gemini API keyRequired
IMAGE_OUTPUT_DIRDefault 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
  1. Generate 10-20 variations to explore options
  2. Use consistent prompts for style coherence
  3. Add 3-5 second delays to avoid rate limits
  4. 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_KEY environment variable
  • Or pass via --api-key option

"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

Comments

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