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Alpine Golden Hour Granola Portrait

Prompt from prompts.chat: Alpine Golden Hour Granola Portrait

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A realistic, high-quality 8K photo taken on an iPhone 16 Pro Max, 3:4 aspect ratio.

Composition & Camera Angle: Medium shot at eye level in a three-quarter profile. A young woman stands beside a mountain lake, positioned slightly right of center. Her body is turned sideways while she looks back over her shoulder toward the camera with a soft, natural smile.

Subject & Mood: A smiling young woman with a relaxed, peaceful “granola girl” aesthetic. Her arms rest naturally at her sides as she holds a transparent water bottle hanging beside her thigh. Her expression is calm, warm, and effortless.

Outfit & Accessories: She wears a cropped oversized sherpa fleece jacket featuring a bold ethnic geometric pattern in beige, rust brown, blue, and black. Black leggings complete the outfit, and a dark shoulder strap from a bottle or small bag crosses her body.

Hair & Makeup: hair is partially gathered into a messy bun, with loose strands framing her face and falling over her shoulders. Minimal, natural “no-makeup” makeup with fresh, realistic skin.

Lighting & Atmosphere: Golden hour sunlight bathes the scene in warm, rich tones. The atmosphere feels peaceful, adventurous, cozy, and deeply connected to nature.

Background: A tranquil alpine lake reflects dramatic limestone cliffs rising behind it. The lower mountain slopes are covered with forest and vibrant green alpine meadows. The sky is clear blue with a few soft clouds, and tiny figures of people are visible along the opposite shoreline. Wild grass and reeds appear in the foreground.

Technical Details: Deep focus keeps both the woman and the mountain landscape crisp and highly detailed. Photorealistic, ultra-sharp, realistic skin texture. Do not change her facial features or identity.

Use Cases

Imported from source sync; refine manually if needed

Reference Output

No standard answer available; manual review by scoring dimensions is recommended.

Scoring Rubric

Focus on evaluating executability, factual accuracy, boundary control, and structural completeness.

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