nanobanana

Nanobanana

Use this skill to turn a vague image request into a prompt that Nano Banana can execute reliably, or to refine an existing image/edit request without restarting from scratch.

Workflow

1. Identify the operation first.

• generate: create a new image from text and optional references.
• edit: modify an existing image while preserving specified elements.
• character_consistency: keep one character stable across scenes.
• multi_image_fusion: combine several references into one coherent result.

1. Choose the lowest-complexity prompt shape that fits the ask.

• Use a short natural-language prompt for simple scenes.
• Use a structured block for multi-part layouts, infographics, or scene logic.
• Use JSON-like structure when the user needs many simultaneous constraints or multiple reference roles.

1. Build the prompt in this order.

• Subject: who or what must appear.
• Action/state: what is happening.
• Setting: where it is happening.
• Composition: framing, camera angle, spatial layout.
• Lighting/mood: time of day, light direction, contrast, atmosphere.
• Style/materiality: photoreal, editorial, infographic, matte acrylic, film grain, etc.
• Constraint layer: exact text, counts, positions, identity preservation, what must remain unchanged.

1. Prefer positive, explicit constraints.

• Say what should be present and how it should behave.
• For edits, explicitly state what must remain unchanged.
• For text rendering, quote exact text and specify placement plus typographic character.

1. Use edit-first iteration.

• If the first output is close, preserve the successful parts and request only the delta.
• Example: Keep composition, subject identity, and wardrobe identical; shift lighting to golden hour and replace background with a foggy bridge.

Local MCP Rules

• mcp__nanobanana__generate_image is for new images.
• mcp__nanobanana__edit_image is for targeted changes to an existing image.
• mcp__nanobanana__character_consistency is for repeated scenes with one character reference.
• mcp__nanobanana__multi_image_fusion is for combining several references.
• output_path must stay inside the tool's allowed repo-local output area. In practice, use a simple filename or relative path; do not pass an absolute path outside image_out.
• Every image-generation or image-editing MCP call must explicitly pass model: gemini-3-pro-image-preview.
• Pass image inputs through referenceImagePaths with the smallest complete set of references for the operation. Do not throw every available reference into a general pool; assign only the location, prop, style, and character anchors that constrain the current frame.
• If gemini-3-pro-image-preview is unavailable, rejected by the tool, or cannot accept the required reference images, character-consistency images, or multi-image-fusion inputs for the requested operation, stop the workflow and report the blocker. Do not fall back to another image model.