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Ultra realistic selfie photo of a young woman holding a bouquet of fresh flowers, pose: top-down selfie angle, holding flowers close to chest, slight smile, relaxed natural expression, appearance: clean glowing skin, hair tied in a neat bun, soft natural makeup, glossy lips, outfit: casual oversized graphic t-shirt, minimal jewelry including colorful beaded necklace and gold earrings, accessories: stylish tinted sunglasses, small shoulder bag, environment: outdoor street setting, asphalt ground visible, natural everyday background, flowers: bright orange and yellow bouquet, fresh and vibrant, lighting: soft natural daylight, balanced exposure, clean shadows, fresh aesthetic, camera: handheld smartphone selfie, slightly wide angle, natural perspective, style: lifestyle photography, soft girl aesthetic, instagram vibe, ultra detailed, realistic skin texture, no watermark, no text, no UI elements , High-angle Dutch tilt with dynamic geometric diagonal framing, captured on Hasselblad X2D 100C with 80mm f/2.8 medium format lens, Vibrant cinematic dual-tone lighting (neon cyan key + magenta rim edge), authentic skin micro-textures, true-to-life surface physics, 8K ultra-detailed editorial photography
Master Version
Prompt Architecture & Anatomy
📊 Infographic & Data Architecture Breakdown
- Information Hierarchy: Top-to-bottom structured narrative: Overview title, sequential modular blocks, summary key takeaways
- Grid: Clean 12-column responsive layout with strict vertical rhythm and baseline alignment
- Panels: Card-based content containers with rounded corners, subtle outline borders, and clear sectional divisions
- Typography: Clean sans-serif headings with high visual hierarchy, distinct subheads, and readable 14px body copy weight
- Icons: Consistent 24px line/duotone vector icon set paired with each metric and data category
- Color Coding: Categorical 4-color palette for distinct data streams, avoiding harsh saturated clashes
- Spacing: Generous 24px-32px padding between modular sections ensuring zero visual crowding
- Data Legibility: High contrast numbers, bold metric callouts, and clean data visualization graphs without noise