nano-banana-2

Generate images with Google Gemini 3.1 Flash Image Preview (Nano Banana 2) via the inference.sh CLI: text-to-image, image editing, multi-image input (up to 14 images), and Google Search grounding. USE WHEN asked for nano banana 2, gemini 3.1 flash image, or Google image generation.

インストールへ移動

リポジトリ: Sheshiyer/skill-clusters
ソースの最終更新活動: 2026年6月5日 12:25
検出された SKILL.md の言語: 英語
スター: 0
フォーク: 1

インストール方法

デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。

Codex または Claude でインストールこの Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。

直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。

npx skills add https://github.com/Sheshiyer/skill-clusters --skill nano-banana-2

コマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。

ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。

ソースファイルを確認

インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。

SKILL.md

ソースの指示 · 読み取り専用プレビュー

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arcplume

Arcplume runs Grok through the Grok Build CLI's own OAuth-authenticated session (grok login) for image generation, with strict preflight validation, secret-safe handling, and headless CLI-driven execution -- no separate XAI_API_KEY billing. Video falls back to the billed xAI API. USE WHEN a user wants to generate an image via a locally logged-in Grok Build CLI session, e.g. 'generate an image with grok', 'use grok build', or 'use my logged-in grok session'.

2026-07-07

selemene-core

Shared reference for the Selemene cluster: the two report surfaces (deterministic Rust reports vs. narrative witness-pipeline readings), the @selemene/bridge CLI contract, the output manifest format, and non-prescriptive witnessing tone. USE WHEN deciding which Selemene surface to invoke or when routing between birth/compatibility/transit reports and solo/dyadic readings.

2026-07-07

selemene-orchestrator

Route Selemene Engine tasks to the right surface: deterministic reports (birth/compatibility/transit) via selemene-core and the @selemene/bridge CLI, or narrative witness readings via selemene-report. USE WHEN the user wants anything under the Selemene/Noesis umbrella but has not named the exact surface.

2026-07-07

このリポジトリのすべてを見る

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

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

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

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

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

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
}'

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.)

# 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

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']}")

# 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

name	nano-banana-2
description	Generate images with Google Gemini 3.1 Flash Image Preview (Nano Banana 2) via the inference.sh CLI: text-to-image, image editing, multi-image input (up to 14 images), and Google Search grounding. USE WHEN asked for nano banana 2, gemini 3.1 flash image, or Google image generation.
allowed-tools	Bash(infsh *)
cluster	media-gen
version	1.0.0

name	nano-banana-2
description	Generate images with Google Gemini 3.1 Flash Image Preview (Nano Banana 2) via the inference.sh CLI: text-to-image, image editing, multi-image input (up to 14 images), and Google Search grounding. USE WHEN asked for nano banana 2, gemini 3.1 flash image, or Google image generation.
allowed-tools	Bash(infsh *)
cluster	media-gen
version	1.0.0

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

nano-banana-2

インストール方法

ソースファイルを確認

Nano Banana 2 - Gemini 3.1 Flash Image Preview

Quick Start

Examples

Basic Text-to-Image

Nano Banana 2 - Gemini 3.1 Flash Image Preview

Quick Start

Examples

Basic Text-to-Image

Multiple Images

Custom Aspect Ratio

Image Editing (with input images)

High Resolution (4K)

With Google Search Grounding

Input Options

Output

Prompt Tips

Sample Workflow

Python SDK

Related Skills

Documentation

nano-banana-2

ソース情報

インストール方法

ソースファイルを確認

このリポジトリの他の Skills

このリポジトリの他の Skills

Nano Banana 2 - Gemini 3.1 Flash Image Preview

Quick Start

Examples

Basic Text-to-Image

Nano Banana 2 - Gemini 3.1 Flash Image Preview

Quick Start

Examples

Basic Text-to-Image

Multiple Images

Custom Aspect Ratio

Image Editing (with input images)

High Resolution (4K)

With Google Search Grounding

Input Options

Output

Prompt Tips

Sample Workflow

Python SDK

Related Skills

Documentation