Nano Banana Image Generator

Generate images using Google's Nano Banana (Gemini) image generation API by crafting optimized prompts and running the bundled generation script.

Prerequisites

The user needs:

• google-genai Python package (pip install google-genai)
• GEMINI_API_KEY environment variable set (get one at https://aistudio.google.com/apikey)

If either is missing, tell the user what to install/configure before proceeding.

Workflow

Step 1: Understand What the User Wants

Ask targeted questions to fill gaps in the user's description. Focus on the most important missing dimensions first — don't ask everything at once. Ask 2-3 questions max per round.

Dimension	What to ask
Subject	Who or what is the main focus?
Setting	Where does this take place?
Mood	What feeling should it evoke?
Style	Photorealistic, watercolor, cinematic, editorial, anime?
Composition	Close-up, wide shot, bird's eye?
Lighting	Golden hour, dramatic side-light, soft diffused, neon?
Purpose	Social media, website hero, print, presentation?
Text	Any text to render in the image?

If the user gives a clear, detailed description, skip the questions and go straight to prompt building.

Step 2: Craft the Prompt

Write a natural-language prompt as if briefing a human artist. Key principles:

• Natural language, not keyword lists. "A golden retriever bounding through a sun-dappled park at golden hour" NOT "dog, park, sunset, 4k, realistic"
• Be specific about materials and textures. "weathered leather," "brushed steel," "soft velvet"
• Use camera language. "shallow depth of field," "wide establishing shot," "Dutch angle"
• Specify lighting. "Rembrandt lighting," "backlit with rim light," "soft window light from the left"
• Include purpose context. "for a premium coffee brand's Instagram feed" helps the model infer style

Step 3: Generate the I...