Text to Image
Nano Banana Image Generation Prompt Schema (JSON Format) - Nano Banana Pro AI Prompt — AI Image Prompt
This is a detailed, structured prompt schema (or template) designed to optimize image generation quality in Nano Banana Pro by ensuring all necessary visual details are systematically provided in a JSON format. It covers everything from art style and time period to lighting, camera equipment, and negative prompts, making the output highly consistent and professional. - AIPinMaker

Prompt
Create a creative image of Nano Banana Image Generation Prompt Schema Json Format Nano Banana Pro Ai Prompt. Style: photorealistic. Composition: balanced and well-framed. Lighting: natural with cinematic mood. Category: photography. Reference: nano-banana-image-generation-prompt-schema-json-format-nano-banana-pro-ai-prompt-3750.
Prompt breakdown
- Subject
- Nano Banana Image Generation Prompt Schema in JSON Format with reference nano-banana-image-generation-prompt-schema-json-format-nano-banana-pro-ai-prompt-3750
- Style
- photorealistic
- Lighting
- natural with cinematic mood
- Composition
- balanced and well-framed
- Mood
- cinematic
Remix ideas
- Print the JSON on aged paper instead of clean stock to add vintage texture
- Shift the reference code to 3751 while keeping the same layout
- Introduce a faint watermark of the Nano Banana Pro logo across the document
Reference images

How to use this AI Image prompt template
1
Copy the prompt — grab this template’s prompt and negative prompt. 2
Pick a model — choose a recommended AI model for the best match. 3
Generate — open the studio with one click and create your result.
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FAQ
- What specific reference appears in the schema visualization?
- The exact string nano-banana-image-generation-prompt-schema-json-format-nano-banana-pro-ai-prompt-3750 is shown as part of the JSON metadata.
- Why does the image treat the schema as a physical object?
- Rendering the JSON as printed photography under natural light makes the prompt structure feel like a practical tool rather than abstract code.