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Use when generating or editing images with Google's Gemini image models (Nano Banana) on Scenario via MCP: text-to-image, natural-language instruction editing, identity locking or style transfer from reference images, multi-image fusion, pulling stills from a video clip, Google Search grounding, thinking level tuning, 512 to 4K output, or choosing between Flash, Pro, and Lite. Keywords: Gemini 3.1 Flash, Gemini 3.0 Pro, Gemini 3.1 Lite, Nano Banana 2, Nano Banana Pro, txt2img, img2img.
npx skill4agent add scenario-labs/skills scenario-gemini-imagepromptsearchmodel_schema_getscenarioscenario-imagescenario-gemini-omninpx skills add scenario-labs/skills --skill <name>| Member | Resolution | Sets it apart |
|---|---|---|
| 3.1 Flash | | video input, four |
| 3.0 Pro | | built for complex instruction edits and multi-image fusion |
| 3.1 Lite | fixed 1K, no | fastest and cheapest; |
referenceImagesnumOutputsaspectRatio21:99:16autovideovideoFpsvideoreferenceImagesuseGoogleSearchcost_impactreferenceImagesthinkingLevelHIGHMINIMALdry_run=trueresolutionnumOutputsuseGoogleSearchsearchtarget="models"query="gemini"public=truemodel_google-gemini-3-1-flashmodel_schema_getupload_assetscenariomodel_runmodel_iddry_run=trueparameters={"prompt": "Image 1 is the product: keep its shape, label, and colors exactly. Image 2 sets the mood: warm sunset palette, soft shadows. Place the product on a marble counter in natural window light.", "referenceImages": ["asset_a", "asset_b"], "aspectRatio": "4:5", "resolution": "2K", "numOutputs": 2}model_runwait=falsejobs_waitpending_job_idsmodel_runasset_displayasset_downloadvideoreferenceImagesseedmasknumOutputsresolutionthinkingLevelvideouseGoogleSearch