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nano-banana

Skill file tools/image/nano-banana/SKILL.md in inference-sh/skills. Read the publisher’s upstream source.

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nano-banana

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Use nano-banana to generate [number] images from [visual brief] in [aspect ratio]; this requires the inference.sh belt CLI.

Required inputs

  • [number]
  • [visual brief]
  • [aspect ratio]

User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗

SKILL.md

name: nano-bananadescription: "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"allowed-tools: Bash(belt *)

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 --input '{"prompt": "a banana in space, photorealistic"}'

Models

ModelApp IDSpeedQuality
Gemini 3 Pro Imagegoogle/gemini-3-pro-imageSlowerBest
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 --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 --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 --input '{
  "prompt": "Detailed illustration of a medieval castle",
  "resolution": "4K"
}'

With Google Search Grounding

belt app run google/gemini-3-pro-image --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 --save input.json

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

nano-banana by inference-sh · The Skill Leaderboard