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Create an ultra-photorealistic cinematic portrait of a man viewed from a
slightly low angle looking upward with a confident, powerful expression.
Generate his face using the uploaded portrait photo. The composition is a
tight upper-body portrait with the head tilted slightly upward, emphasizing
the jawline and beard structure. The background is a smooth vibrant studio
gradient transitioning between deep orange and warm red tones, creating a
dramatic modern aesthetic. Use strong cinematic dual-color lighting: warm
red/orange light from one side and cool teal/blue rim lighting from the
opposite side to create striking contrast across the face and beard. The man
is wearing a futuristic white oversized puffer jacket with large quilted sections
and a high protective collar. The jacket should look premium and modern with
realistic fabric folds, padded insulation volume, and subtle material sheen
similar to high-end technical winter fashion. Add extremely detailed textures:
visible skin pores, beard hair strands, subtle facial imperfections, realistic lip
texture, micro skin reflections, and detailed hair follicles. The sunglasses
should have thin metal frames with realistic reflections and slightly tinted
lenses reflecting the colored lighting. The white puffer jacket must show
detailed stitching, fabric grain, padded segments, and realistic light interaction
across the material. Maintain sharp focus on the subject with studio-quality depth and clarity.
Ultra photorealistic portrait photography, cinematic studio lighting, hyper-
detailed textures, 8K detail, premium editorial fashion portrait, extremely
realistic skin and fabric materials.
Product Marketing - Cinematic Portrait with Dual-Color Lighting
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An ultra-photorealistic cinematic portrait prompt for Google Nano Banana Pro, requiring a reference photo for the man's face, featuring strong dual-color lighting (orange/red and teal/blue) and extreme detail on skin, beard, and a futuristic white puffer jacket.
A detailed prompt for generating a photorealistic, cinematic portrait of a blonde woman in a Lara Croft-inspired adventure heroine role, dual-wielding pistols in a jungle setting with dramatic golden hour lighting and battle-worn details.
A highly structured JSON prompt for Nano Banana Pro focusing on a dramatic, high-energy cinematic medium shot. It specifies a complex scene involving a model kneeling on a reflective kitchen counter, utilizing aggressive 'Teal and Orange' color grading and dual-source lighting to maximize dramatic effect, suitable for music video aesthetics.
A highly structured image generation prompt for a cinematic, black and white fashion editorial portrait of Dua Lipa in a snowy New York City setting, focusing on detailed facial geometry, specific wardrobe (fuzzy knit outerwear, lace-trim bra top, leather micro shorts), and technical specifications for a high-end magazine cover aesthetic.
A high-quality, ultra-realistic prompt to generate a mirror selfie featuring characters resembling Sydney Sweeney and Natalia Dyer (Nancy) in matching athletic wear in a luxury modern fitness center. The prompt emphasizes specific clothing details, cinematic lighting, and 8K resolution for realistic texture capture.
A highly detailed JSON prompt designed for generating a high-end beauty and fashion editorial poster. It specifies a dual composition layout with a soft-focus background portrait and a sharp foreground figure, set against a deep dark red gradient background, optimized for luxury makeup campaign aesthetics without any text or logos.
Two detailed, ultra-realistic prompts designed for cinematic food photography using the Gemini Nano Banana Pro model. The first prompt focuses on a floating medium-rare steak with exploding salt crystals, and the second focuses on golden grilled shrimp suspended mid-air with dynamic splash effects, both emphasizing high-speed, macro detail, and moody lighting.
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Information about your activity on this service may be matched and combined with other information relating to you and originating from various sources (for instance your activity on a separate online service, your use of a loyalty card in-store, or your answers to a survey), in support of the purposes explained in this notice.
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Your device might be distinguished from other devices based on information it automatically sends when accessing the Internet (for instance, the IP address of your Internet connection or the type of browser you are using) in support of the purposes exposed in this notice.
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TCF vendors
Exponential Interactive, Inc d/b/a VDX.tv
Cookie duration: 90 (days).
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, 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, 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, Browsing and interaction data, Non-precise location data, Precise location 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, Authentication-derived identifiers, Browsing and interaction data, User-provided 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, User-provided data, Precise location data
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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