Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- 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 inpu...
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 inpu...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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 }'
ParameterTypeDescriptionpromptstringRequired. What to generate or changeimagesarrayInput images for editing (up to 14). Supported: JPEG, PNG, WebPnum_imagesintegerNumber of images to generateaspect_ratiostringOutput ratio: "1:1", "16:9", "9:16", "4:3", "3:4", "auto"resolutionstring"1K", "2K", "4K" (default: 1K)output_formatstringOutput format for imagesenable_google_searchbooleanEnable real-time info grounding (weather, news, etc.)
FieldTypeDescriptionimagesarrayThe generated or edited imagesdescriptionstringText description or response from the modeloutput_metaobjectMetadata 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
Running Apps - How to run apps via CLI Streaming Results - Real-time progress updates File Handling - Working with images
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.