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Ai-workflow 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.

install
source · Clone the upstream repo
git clone https://github.com/nicepkg/ai-workflow
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/nicepkg/ai-workflow "$T" && mkdir -p ~/.claude/skills && cp -r "$T/workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro" ~/.claude/skills/nicepkg-ai-workflow-nano-banana-pro && rm -rf "$T"
manifest: workflows/talk-to-slidev-workflow/.claude/skills/nano-banana-pro/SKILL.md
source content

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
:

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

ParameterRequiredDescription
prompt
YesText description of the image to generate or transformation to apply
-o
, 
--output
YesOutput filename (you decide the path based on context)
-i
, 
--image
NoInput image(s) for editing/transformation or as context/reference (can be used multiple times)
--aspect-ratio
NoOne 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
NoImage size: 
1K
, 
2K
, 
4K
(default: 
1K
)

Examples

Basic image generation:

uv run generate_image.py "A sunset over mountains" -o sunset.png

Infographic with specific aspect ratio:

uv run generate_image.py "Infographic showing the water cycle with labeled stages" -o water_cycle.png --aspect-ratio 9:16

High-resolution ultrawide:

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:

uv run generate_image.py "Add a sunset sky to this image" -i photo.png -o edited.png

Transform with style:

uv run generate_image.py "Make this look like a watercolor painting" -i input.jpg -o watercolor.png

Combine multiple images:

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:

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