packages/skills/skills/nano-banana-2/SKILL.md
Generate images with Google Gemini 3.1 Flash Image Preview (Nano Banana 2) via inference.sh CLI. Capabilities: text-to-image, image editing, multi-image input (up to 14 images), Google Search grounding. Triggers: nano banana 2, nanobanana 2, gemini 3.1 flash image, gemini 3 1 flash image preview, google image generation
npx skillsauth add mediar-ai/skillhubz nano-banana-2Install this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Generate images with Google Gemini 3.1 Flash Image Preview via inference.sh CLI.
curl -fsSL https://cli.inference.sh | sh && infsh login
infsh app run google/gemini-3-1-flash-image-preview --input '{"prompt": "a banana in space, photorealistic"}'
Install note: The install script only detects your OS/architecture, downloads the matching binary from
dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.
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.) |
| 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@inference-sh
# All image generation models
npx skills add inference-sh/skills@ai-image-generation
Browse all image apps: infsh app list --category image
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