使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/101-skills/superpowers --skill nano-banana-2开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
Install the belt CLI skill: npx skills add belt-sh/cliNano 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 instructionsbash
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.jsonPython 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-generationBrowse 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
