Nano Banana Imagegen

Documents

nano-banana-imagegen

Nano Banana Imagegen is an Agent Skill for documents published in the majiayu000/claude-skill-registry repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

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.

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QUICK START

How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

Open your project in Codex.
Copy and paste the prompt below.
Review files and risks before approving any action.

Prompt to paste

Inspect the Agent Skill at https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/design/nano-banana-imagegen-othreecodes-claude-code-nano-ban/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/nano-banana-imagegen, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

Nano Banana Image Generation

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

Prerequisites

API Key: Set the GEMINI_API_KEY environment variable
- Get key from: https://aistudio.google.com/apikey
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)