nano-banana-2
inference.sh提供的代理技能,通过API接口支持数据AI任务,特别针对轻量级模型或特定数据处理场景。
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description SKILL.md
nano-banana-2
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). Install instructions
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@infsh-cli
# 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
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