Golden Hour Car Interior Portrait
A cinematic portrait of a confident young woman inside a car during golden hour.
Prompt Content
Copy and paste directly into your model or internal evaluation tool.
Main subject: A portrait of a young woman.
Pose: She is sitting in a relaxed position inside a car. One knee is pulled up high to her chest, and she is resting one hand on it. Her head is slightly tilted, with a confident gaze directed straight into the camera.
Clothing: She is wearing a very oversized, thick dark brown (chocolate) hoodie. Centered on the chest is white text in a Harry Potter-style font:
AVADA KEDAVRA BITCH
She is also wearing light gray melange jogger sweatpants with a loose fit.
Hair: Perfectly straight, thick, healthy hair with a precise middle part, falling smoothly over her shoulders and chest.
Makeup: Natural makeup.
Lighting: Warm natural golden hour lighting (sunrise or sunset). Soft yet bright sunlight comes from the right side (viewer’s perspective), illuminating the right half of her face and creating warm highlights in her hair. The left side of her face and the background remain in soft, deep shadow, creating a cinematic contrast and depth.
Camera angle: Close-up portrait shot from a short distance. The camera is positioned slightly above eye level (subtle high-angle), resembling a selfie perspective or the viewpoint of someone standing beside the open car door. Sharp focus on the face and upper body.
Background: A blurred dark car interior with a bokeh effect. Part of a dark seat and a window are visible in the background.
Mood & aesthetic: Cozy, relaxed, yet very stylish casual-chic aesthetic. Calm, confident, trendy Instagram vibe that conveys comfort and modern fashion.
Do not change the facial features. Light subtle smile. Vertical 3:4 aspect ratio. Ultra-realistic, high-quality, sharp 8K photo, shot on iPhone 16 Pro.
Use Cases
Reference Output
High-quality cinematic portrait of a young woman in a car during golden hour with warm lighting.
Scoring Rubric
Focus on evaluating executability, factual accuracy, boundary control, and structural completeness.
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