Gemini 3.1 Flash 图像生成教程 - 使用 inference.sh CLI 创建AI图像

nano-banana-2 by toolshell/skills

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安装命令

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

🇨🇳中文介绍

Nano Banana 2 - Gemini 3.1 Flash 图像预览

通过 inference.sh CLI 使用 Google Gemini 3.1 Flash 图像预览生成图像。

快速开始

需要 inference.sh CLI (infsh)。获取安装说明：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"}'

示例

基础文本到图像

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

多张图像

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

自定义宽高比

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

🇺🇸English

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
}'

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图像编辑（带输入图像）

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"
}'

使用 Google 搜索信息锚定

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
}'

参数	类型	描述
`prompt`	string	必填。要生成或修改的内容
`images`	array	用于编辑的输入图像（最多 14 张）。支持：JPEG, PNG, WebP
`num_images`	integer	要生成的图像数量
`aspect_ratio`	string	输出比例："1:1", "16:9", "9:16", "4:3", "3:4", "auto"
`resolution`	string	"1K", "2K", "4K" (默认: 1K)
`output_format`	string	图像的输出格式
`enable_google_search`	boolean	启用实时信息锚定（天气、新闻等）

字段	类型	描述
`images`	array	生成或编辑的图像
`description`	string	模型的文本描述或响应
`output_meta`	object	关于输入/输出的元数据（用于定价）

风格 : 照片级真实感、插画、水彩画、油画、数字艺术、动漫、3D 渲染

构图 : 特写、广角镜头、鸟瞰图、微距、肖像、风景

光线 : 自然光、影棚灯光、黄金时刻、戏剧性阴影、霓虹灯

细节 : 添加关于纹理、颜色、情绪、氛围的具体细节

# 1. 生成示例输入以查看所有选项
infsh app sample google/gemini-3-1-flash-image-preview --save input.json

# 2. 编辑提示词
# 3. 运行
infsh app run google/gemini-3-1-flash-image-preview --input input.json

from inferencesh import inference

client = inference()

# 基础生成
result = client.run({
    "app": "google/gemini-3-1-flash-image-preview@0c7ma1ex",
    "input": {
        "prompt": "A banana in space, photorealistic"
    }
})
print(result["output"])

# 流式传输实时更新
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']}")

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

# 完整平台技能（所有 150+ 个应用）
npx skills add inference-sh/skills@agent-tools

# 所有图像生成模型
npx skills add inference-sh/skills@ai-image-generation

浏览所有图像应用：infsh app list --category image

运行应用 - 如何通过 CLI 运行应用
流式传输结果 - 实时进度更新
文件处理 - 处理图像

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
}'

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.)

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

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

# 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@agent-tools

# All image generation models
npx skills add inference-sh/skills@ai-image-generation

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

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

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Gemini 3.1 Flash 图像生成教程 - 使用 inference.sh CLI 创建AI图像

🇨🇳中文介绍

Nano Banana 2 - Gemini 3.1 Flash 图像预览

快速开始

示例

基础文本到图像

多张图像

自定义宽高比

🇺🇸English

Nano Banana 2 - Gemini 3.1 Flash Image Preview

Quick Start

Examples

Basic Text-to-Image

Multiple Images

相关 Skills

最新 Skills

图像编辑（带输入图像）

高分辨率 (4K)

使用 Google 搜索信息锚定

输入选项

输出

提示词技巧

示例工作流

Python SDK

相关技能

文档

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