{
"master_prompt": {
"scene_type": "ultra-realistic cinematic fashion portrait",
"subject": {
"description": "young man with round glasses",
"pose": "looking down at the camera",
"camera_angle": "low angle shot",
"expression": "confident and calm"
},
"outfit": {
"upper_wear": "oversized light-colored hoodie",
"inner_layer": "warm orange sweater visible at neckline",
"style": "modern urban streetwear"
},
"environment": {
"location": "urban tunnel at night",
"lighting_elements": "bright orange and yellow neon lights",
"atmosphere": "night city vibe with glowing reflections"
},
"lighting": {
"type": "dramatic neon lighting",
"color_grading": "strong teal and orange",
"contrast": "intense contrast with vibrant highlights",
"face_lighting": "focused dramatic illumination on face and hoodie"
},
"camera": {
"lens": "35mm",
"depth_of_field": "shallow",
"background_effect": "soft bokeh",
"resolution": "ultra-detailed, cinematic clarity"
},
"mood": "bold, vibrant, high-fashion urban energy"
}
}
Product Marketing - Cinematic Urban Portrait with Neon Lighting
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A structured prompt for generating an ultra-realistic cinematic fashion portrait of a young man in streetwear, utilizing dramatic neon lighting in an urban tunnel setting to create a strong teal and orange color grade and intense contrast.
A prompt for generating a hyper-realistic, cinematic urban night portrait of a stylish woman walking. It emphasizes dramatic lighting, neon light streaks (orange, amber, teal), motion blur in the background, and sharp focus on the subject's face and luxury wristwatch, highlighting the reflections on the watch.
A prompt for generating a high-resolution cinematic portrait of a young woman overlooking a city skyline. It requires the image to be inspired by a provided reference image, specifying a composed pose, a stylish coat, cinematic contrast lighting, and technical details like 8k resolution and shallow depth of field for a sophisticated urban look.
A highly specific JSON prompt for generating an ultra-realistic, cinematic portrait of Ana de Armas in a squatting pose within an urban parking garage. Crucially, this prompt uses 'identity lock' and 'pose lock' rules, requiring the AI to strictly adhere to external reference images for the face, hair, pose, scene, and lighting, while applying a modern street fashion outfit.
A detailed image generation prompt for a photorealistic fashion portrait of a young woman wearing a hand-crocheted black jumper in an urban industrial setting, emphasizing texture, lighting, and cinematic clarity. This prompt is structured using JSON for the Nano Banana Pro model.
A prompt for generating a moody, cinematic portrait of a young woman seen through a glass window on a rainy urban night, featuring pink bokeh lights, neon reflections, and the photography style of Brandon Woelfel.
A highly detailed, hyper-realistic image generation prompt for creating a cinematic, low-angle street photography portrait of a South Asian man leaning against a matte black Nissan GTR R35 in an urban grunge setting. The prompt specifies detailed camera settings, lighting conditions (moody daylight), environment elements (graffiti, wet asphalt), and character details (outfit, pose, expression) to achieve a raw, high-contrast, and powerful aesthetic.
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TCF vendors
Exponential Interactive, Inc d/b/a VDX.tv
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Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Authentication-derived identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Non-precise location data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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