MCPInstall

nano-banana

Generate images with Google Gemini native image models via inference.sh CLI. Models: Gemini 3 Pro Image, Gemini 2.5 Flash Image. Capabilities: text-to-image, image editing, multi-image input. Triggers: nano banana, gemini image, gemini 3 pro image, gemini 2.5 flash image, google image generation, native image generation, gemini native image

Installs
45
Last 24h
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/magentosh/superpowers --skill nano-banana
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads nano-banana automatically when relevant.

  3. 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.

Install the belt CLI skill: npx skills add belt-sh/cli

Nano Banana - Gemini Native Image Generation

Generate images with Google Gemini native image models via inference.sh CLI.

Nano Banana

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

belt app run google/gemini-3-pro-image-preview --input '{"prompt": "a banana in space, photorealistic"}'

Models

ModelApp IDSpeedQuality
Gemini 3 Pro Imagegoogle/gemini-3-pro-image-previewSlowerBest
Gemini 2.5 Flash Imagegoogle/gemini-2-5-flash-imageFastExcellent

Search Gemini Image Apps

belt app search "gemini image"

Examples

Basic Text-to-Image

belt app run google/gemini-3-pro-image-preview --input '{
  "prompt": "A futuristic cityscape at sunset with flying cars"
}'

Multiple Images

belt app run google/gemini-2-5-flash-image --input '{
  "prompt": "Minimalist logo design for a coffee shop",
  "num_images": 4
}'

Custom Aspect Ratio

belt app run google/gemini-3-pro-image-preview --input '{
  "prompt": "Panoramic mountain landscape with northern lights",
  "aspect_ratio": "16:9"
}'

Image Editing (with input image)

belt app run google/gemini-2-5-flash-image --input '{
  "prompt": "Add a rainbow in the sky",
  "images": ["https://example.com/landscape.jpg"]
}'

High Resolution (4K)

belt app run google/gemini-3-pro-image-preview --input '{
  "prompt": "Detailed illustration of a medieval castle",
  "resolution": "4K"
}'

With Google Search Grounding

belt app run google/gemini-3-pro-image-preview --input '{
  "prompt": "Current weather in Tokyo visualized as an artistic scene",
  "enable_google_search": true
}'

Input Options

ParameterTypeDescription
promptstringRequired. What to generate or change
imagesarrayInput images for editing (up to 14)
num_imagesintegerNumber of images to generate
aspect_ratiostringOutput ratio: "1:1", "16:9", "9:16", "4:3", "3:4", "auto"
resolutionstring"1K", "2K", "4K" (Gemini 3 Pro only)
output_formatstringOutput format for images
enable_google_searchbooleanEnable real-time info grounding

Prompt Tips

Styles: photorealistic, illustration, watercolor, oil painting, digital art, anime, 3D render

Composition: close-up, wide shot, aerial view, macro, portrait, landscape

Lighting: natural light, studio lighting, golden hour, dramatic shadows, neon

Details: add specific details about textures, colors, mood, atmosphere

Sample Workflow

# 1. Generate sample input to see all options
belt app sample google/gemini-3-pro-image-preview --save input.json

# 2. Edit the prompt
# 3. Run
belt app run google/gemini-3-pro-image-preview --input input.json

Related Skills

# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# All image generation models
npx skills add inference-sh/skills@ai-image-generation

# Video generation (for image-to-video)
npx skills add inference-sh/skills@ai-video-generation

Browse all image apps: belt app list --category image

Documentation

FAQ

What does the nano-banana skill do?

Generate images with Google Gemini native image models via inference.sh CLI. Models: Gemini 3 Pro Image, Gemini 2.5 Flash Image. Capabilities: text-to-image, image editing, multi-image input. Triggers: nano banana, gemini image, gemini 3 pro image, gemini 2.5 flash image, google image generation, native image generation, gemini native image

How do I install nano-banana?

Run npx skills add https://github.com/magentosh/superpowers --skill nano-banana 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/nano-banana/ (personal) or .claude/skills/nano-banana/ (project).

Which AI agents can use nano-banana?

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 nano-banana 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 nano-banana?

It is published by magentosh in magentosh/superpowers. It has 45 recorded installs.

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