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Nano Banana 2

Generate images with Google Gemini 3.1 Flash Image Preview (Nano Banana 2) via inference.sh CLI. Capabilities: text-to-image, image editing, multi-image inpu...

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Generate images with Google Gemini 3.1 Flash Image Preview (Nano Banana 2) via inference.sh CLI. Capabilities: text-to-image, image editing, multi-image inpu...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

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  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

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New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

Nano Banana 2 - Gemini 3.1 Flash Image Preview

Generate images with Google Gemini 3.1 Flash Image Preview via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login infsh app run google/gemini-3-1-flash-image-preview --input '{"prompt": "a banana in space, photorealistic"}' Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

Basic Text-to-Image

infsh app run google/gemini-3-1-flash-image-preview --input '{ "prompt": "A futuristic cityscape at sunset with flying cars" }'

Multiple Images

infsh app run google/gemini-3-1-flash-image-preview --input '{ "prompt": "Minimalist logo design for a coffee shop", "num_images": 4 }'

Custom Aspect Ratio

infsh app run google/gemini-3-1-flash-image-preview --input '{ "prompt": "Panoramic mountain landscape with northern lights", "aspect_ratio": "16:9" }'

Image Editing (with input images)

infsh app run google/gemini-3-1-flash-image-preview --input '{ "prompt": "Add a rainbow in the sky", "images": ["https://example.com/landscape.jpg"] }'

High Resolution (4K)

infsh app run google/gemini-3-1-flash-image-preview --input '{ "prompt": "Detailed illustration of a medieval castle", "resolution": "4K" }'

With Google Search Grounding

infsh app run google/gemini-3-1-flash-image-preview --input '{ "prompt": "Current weather in Tokyo visualized as an artistic scene", "enable_google_search": true }'

Input Options

ParameterTypeDescriptionpromptstringRequired. What to generate or changeimagesarrayInput images for editing (up to 14). Supported: JPEG, PNG, WebPnum_imagesintegerNumber of images to generateaspect_ratiostringOutput ratio: "1:1", "16:9", "9:16", "4:3", "3:4", "auto"resolutionstring"1K", "2K", "4K" (default: 1K)output_formatstringOutput format for imagesenable_google_searchbooleanEnable real-time info grounding (weather, news, etc.)

Output

FieldTypeDescriptionimagesarrayThe generated or edited imagesdescriptionstringText description or response from the modeloutput_metaobjectMetadata about inputs/outputs for pricing

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 infsh app sample google/gemini-3-1-flash-image-preview --save input.json # 2. Edit the prompt # 3. Run infsh app run google/gemini-3-1-flash-image-preview --input input.json

Python SDK

from inferencesh import inference client = inference() # Basic generation result = client.run({ "app": "google/gemini-3-1-flash-image-preview@0c7ma1ex", "input": { "prompt": "A banana in space, photorealistic" } }) print(result["output"]) # Stream live updates for update in client.run({ "app": "google/gemini-3-1-flash-image-preview@0c7ma1ex", "input": { "prompt": "A futuristic cityscape at sunset" } }, stream=True): if update.get("progress"): print(f"progress: {update['progress']}%") if update.get("output"): print(f"output: {update['output']}")

Related Skills

# Original Nano Banana (Gemini 3 Pro Image, Gemini 2.5 Flash Image) npx skills add inference-sh/skills@nano-banana # Full platform skill (all 150+ apps) npx skills add inference-sh/skills@inference-sh # All image generation models npx skills add inference-sh/skills@ai-image-generation Browse all image apps: infsh app list --category image

Documentation

Running Apps - How to run apps via CLI Streaming Results - Real-time progress updates File Handling - Working with images

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

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Package contents

Included in package
1 Docs
  • SKILL.md Primary doc