Skill: okaris/nano-banana-2 (version 0.1.1)

--- name: nano-banana-2 description: "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" allowed-tools: Bash(infsh *) --- # Nano Banana 2 - Gemini 3.1 Flash Image Preview Generate images with Google Gemini 3.1 Flash Image Preview via [inference.sh](https://inference.sh) CLI. ## Quick Start ```bash 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](https://cli.inference.sh) 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](https://dist.inference.sh/cli/checksums.txt) available. ## Examples ### Basic Text-to-Image ```bash infsh app run google/gemini-3-1-flash-image-preview --input '{ "prompt": "A futuristic cityscape at sunset with flying cars" }' ``` ### Multiple Images ```bash 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 ```bash 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) ```bash 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) ```bash infsh app run google/gemini-3-1-flash-image-preview --input '{ "prompt": "Detailed illustration of a medieval castle", "resolution": "4K" }' ``` ### With Google Search Grounding ```bash 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 ```bash # 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 ```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 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` ## Documentation - [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI - [Streaming Results](https://inference.sh/docs/api/sdk/streaming) - Real-time progress updates - [File Handling](https://inference.sh/docs/api/sdk/files) - Working with images


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)