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

Requires inference.sh CLI (infsh ). Get installation instructions: npx skills add inference-sh/skills@agent-tools

infsh login

infsh app run google/gemini-3-1-flash-image-preview --input '{"prompt": "a banana in space, photorealistic"}'

Examples

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

Parameter Type Description

prompt

string Required. What to generate or change

images

array Input images for editing (up to 14). Supported: JPEG, PNG, WebP

num_images

integer Number of images to generate

aspect_ratio

string Output ratio: "1:1", "16:9", "9:16", "4:3", "3:4", "auto"

resolution

string "1K", "2K", "4K" (default: 1K)

output_format

string Output format for images

enable_google_search

boolean Enable real-time info grounding (weather, news, etc.)

Output

Field Type Description

images

array The generated or edited images

description

string Text description or response from the model

output_meta

object Metadata 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@agent-tools

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