Nano Banana

A single Python entrypoint for Gemini-native Nano Banana image generation and editing, with model aliases, strict option validation, batch runs, and custom endpoint support.

Workflow

1. Open references/config.md to choose environment variables and override order.
2. Open references/models-and-api.md to pick the right Nano Banana tier and check model-specific constraints.
3. Prefer gemini-3.1-flash-image-preview (nanobanana-2) unless you need either the fastest low-cost default (nanobanana) or the highest-fidelity reasoning model (nanobanana-pro).
4. Run scripts/nanobanana.py generate for one request or scripts/nanobanana.py batch for repeated variants.
5. Add --dry-run first when the main risk is the payload shape, endpoint, or model-specific option support.
6. Pass --base-url or GEMINI_BASE_URL when you need a custom Gemini-compatible gateway.
7. Add --save-response <path> on generate when you need the raw JSON body for debugging.

Commands

Single text-to-image request: