smithery/othreecodes

nano-banana-imagegen

Generate and edit images using Google's Nano Banana (Gemini Image API).

Installation

$ npx skills add smithery/othreecodes --skill nano-banana-imagegen

Summary

  • Generate and edit images using Google's Nano Banana (Gemini Image API).
  • Use when the user wants to create AI-generated images, edit existing images, create infographics, generate product mockups, design social media graphics, or perform any image generation/manipulation task.
  • Requires GEMINI_API_KEY environment variable.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,668 B
  • docs SUMMARY.md 350 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Nano Banana Image Generation

Generate and edit images using Google's Gemini Image models (Nano Banana and Nano Banana Pro).

Prerequisites

  1. API Key: Set the GEMINIAPIKEY environment variable

- Get key from: https://aistudio.google.com/apikey

  1. uv: The script uses inline dependencies with uv (no manual install needed)

Quick Start

Using the Script

# Generate an image
uv run scripts/generate_image.py "A futuristic city at sunset" -o city.png

# Edit an existing image
uv run scripts/generate_image.py "Remove the background" -i photo.jpg -o edited.png

# Use Nano Banana Pro for higher quality
uv run scripts/generate_image.py "Create a detailed infographic" -m pro -o infographic.png

Direct Python Usage (with uv)

uv run --with google-genai python -c '
from google import genai
import os

client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])

response = client.models.generate_content(
    model="gemini-2.5-flash-image",
    contents=["Create an image of a cat wearing a space helmet"]
)

for part in response.candidates[0].content.parts:
    if part.inline_data:
        with open("output.png", "wb") as f:
            f.write(part.inline_data.data)
        print("Saved to output.png")
'

Model Selection

Model Use Case
gemini-2.5-flash-image (Nano Banana) Fast generation, iterations, high volume
gemini-3-pro-image-preview (Nano Banana Pro) Professional quality, text rendering, complex prompts

Common Tasks

Image Generation

uv run scripts/generate_image.py "A serene Japanese garden with cherry blossoms" -o garden.png

Image Editing

uv run scripts/generate_image.py "Change the background to a beach sunset" -i input.jpg -o edited.png

Infographics (use Pro model)

uv run scripts/generate_image.py "Create an infographic about renewable energy" -m pro -o infographic.png

Resources

  • Script: scripts/generate_image.py - CLI tool with inline uv dependencies
  • API Reference: See references/api_reference.md for detailed SDK usage
  • Prompting Guide: See references/prompting_guide.md for effective prompts

Pricing

~$0.039 per image for Nano Banana (1290 tokens per image at $30/1M tokens)