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{ "metadata": { "original_width_px": 736, "original_height_px": 920, "aspect_ratio": "4:5", "dominant_art_style": "Studio commercial photography", "overall_mood": "Playful, joyful, oversized surrealism" }, "color_palette": { "dominant_colors_hex": ["#E8D8C3", "#FFFFFF", "#3D3D3D", "#913E44", "#7B8EA5", "#F2F2F2"], "accent_colors_hex": ["#D99FB0", "#000000"], "gradient_directions": ["Soft radial falloff from center to edges of the beige background"] }, "lighting": { "key_light": "Front-left, 45-degree angle, high-key, soft diffused white light", "fill_light": "Front-right, low ratio, softens shadows" }, "exact_prompt_for_nano_pro": "Studio commercial shot of a joyful young woman with long dark hair, laughing and hugging a giant, 5-foot tall white '{argument name="product brand" default="OZONE"}' body lotion bottle. Cream sweater, blue jeans, white sneakers. Cherry blossom branch illustration. Seamless soft beige background. High-key lighting, glossy textures, 8k." }, every single detail meticulously rendered, visible surface textures and micro-imperfections, subsurface scattering, physically based rendering, ray-traced lighting, 8K resolution, 16-bit color depth, shot on Phase One IQ4 150MP, 100mm macro, f/8, ISO 64, zero motion blur, technically perfect across entire frame
Master Version
Prompt Architecture & Anatomy
🧠 Prompt Engineering & Structural Breakdown
- Core Intent: Achieve precise task completion with zero conversational filler and maximum actionable depth
- Role & Persona: Domain expert practitioner with specialized technical insight and pedagogical clarity
- Context & Assumptions: Clear input parameters, defined audience proficiency, and stated foundational assumptions
- Constraints & Boundary Rules: Strict negative constraints: no vague advice, no unsupported claims, adherence to requested format
- Output Structure & Format: Hierarchical markdown organization with bold callouts, ordered steps, and clean tabular data where applicable
- Verification & Quality Checks: Self-correcting validation step ensuring all prompt constraints and sub-questions are fully addressed
