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101-skills/superpowers

nano-banana-2

Generate images with Google Gemini 3.1 Flash Image Preview (Nano Banana 2) via inference.sh CLI.

Quelltext ansehen

Verwendung

Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.

npx skills add https://github.com/101-skills/superpowers --skill nano-banana-2

Vor dem Start

Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.

Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

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

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 (belt). Install instructions

bash

belt login

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

Examples

Basic Text-to-Image

bash

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

Multiple Images

bash

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

Custom Aspect Ratio

bash

belt 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)

bash

belt 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)

bash

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

With Google Search Grounding

bash

belt 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

bash

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

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

Python SDK

python

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

bash

# Original Nano Banana (Gemini 3 Pro Image, Gemini 2.5 Flash Image)
npx skills add inference-sh/skills@nano-banana

# 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

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

Documentation

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

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aus demselben Repository

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