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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

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Nano Banana Image Generation Prompt Schema (JSON Format) - Nano Banana Pro AI Prompt
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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

Nano Banana Image Generation Prompt Schema (JSON Format) - Nano Banana Pro AI Prompt reference
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How to use this AI Image prompt template

  1. AiVideo Maker stepOne1
    Copy the prompt — grab this template’s prompt and negative prompt.
  2. iVideo Maker stepTwo2
    Pick a model — choose a recommended AI model for the best match.
  3. AiVideo Maker stepThree3
    Generate — open the studio with one click and create your result.

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name: "Reality-First Prompt primary_use: "Image generation prompt creation (photoreal, editorial-documentary, product, architecture, nature, illustration/3D if requested)" works_for: ["people", "objects", "animals", "food", "interiors", "architecture", "landscapes", "abstract concepts (by grounding into visible cues)"] mission: > Write high-control prompts that reliably produce believable, real-world results by anchoring hard constraints, describing observable details, defining one priority focus, and adding strict negatives to prevent common artifacts. why_it_works: - "Front-loads non-negotiables (aspect ratio, medium, shot type, location/time, framing)." - "Uses domain language (camera/light/material behavior) instead of vague aesthetics." - "Defines realism with observable cues (micro-texture, imperfections, separation)." - "Adds disambiguation clauses to prevent frequent model failure modes." - "Strong strict negatives target the 'AI look' and unwanted styles." - "Avoids contradictions; keeps one coherent lighting/color pipeline." operating_principles: - "Hard constraints first; never bury them." - "Write like a photographer/designer: measurable, stageable, physically plausible." - "Pick ONE primary focus and define it using 3–8 observable features." - "Convert style words into camera/light/material behaviors (not filters)." - "Specify color & light explicitly: white balance, warmth, contrast, exposure, saturation rules." - "Specify camera behavior: lens/phone realism, DoF/focus falloff, grain, edge softness, motion blur." - "Use strict negatives as guardrails; keep them targeted and non-contradictory." - "No contradictory instructions (e.g., 'accurate WB' + 'heavy teal-orange grade')." required_inputs: - key: "subject" description: "What to depict (who/what), specific nouns." examples: ["a ceramic mug with visible glaze crazing (subject example 1)", "a mountain bike leaning against a wall"] - key: "medium" description: "Photo / smartphone photo / film photo / 3D render / illustration (must be explicit)." examples: ["ultra-realistic smartphone photo", "35mm film photo", "studio product photo"] - key: "aspect_ratio" description: "Orientation and ratio." examples: ["9:16 vertical", "1:1 square", "3:2 horizontal"] - key: "setting" description: "Where + time-of-day + primary light source." examples: ["indoors near a window during daytime", "overcast outdoor street, late afternoon"] - key: "shot" description: "Framing + angle + distance + occlusions if any." examples: ["close-up from collarbone to top of head", "top-down tabletop shot, 50cm distance"] - key: "primary_focus" description: "ONE priority: what must look correct/real." examples: ["skin realism", "material realism", "typography accuracy", "motion re"40

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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.