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{
"title": "Duo Fitness Éclatant",
"type": "fitness_portrait_collage",
"description": "Un collage côte à côte présentant deux femmes athlétiques affichant des looks fitness confiants dans des environnements différents.",
"left_image": {
"outfit": "Crop top jaune vif ajusté avec legging taille haute assorti",
"pose": "Debout de côté, regardant légèrement par-dessus l'épaule",
"expression": "Calme et confiante",
"hair": "Cheveux blonds ondulés mi-longs",
"location": "Balcon ou terrasse la nuit avec les lumières de la ville en arrière-plan",
"vibe": "Audacieuse, stylée et puissante"
},
"right_image": {
"outfit": "Soutien-gorge de sport violet clair avec bas de fitness taille haute assorti",
"pose": "Bras levés au-dessus de la tête tenant une barre d'entraînement orange",
"expression": "Sourire éclatant, énergique et joyeuse",
"hair": "Cheveux roux attachés en queue de cheval haute",
"location": "Salle de sport intérieure avec des ballons d'exercice et des équipements d'entraînement visibles",
"vibe": "Active, positive et motivante"
},
"overall_theme": "Confiance, force et style de vie fitness moderne",
"lighting": "Éclairage doux naturel et éclairage de salle de sport intérieure",
"mood": "Inspirant et dynamique"
}
Marketing produit - Prompt structuré pour le collage Fitness Glow Duo
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Une invite JSON structurée pour Gemini Nano Banana Pro 9.6k, conçue pour créer un collage côte à côte de deux femmes athlétiques dans différents environnements de fitness. Elle détaille les tenues, les poses, les coiffures, les lieux (lumières de la ville vs. salle de sport intérieure) et l'ambiance générale pour les images de gauche et de droite.
A highly structured JSON prompt for Gemini Nano Banana Pro 3.0 to generate an ultra-HD image of two women (resembling Sydney Sweeney and Sabrina Carpenter) posing in high-end athleisure wear within a commercial gym setting, featuring specific lighting (neon purple ambient glow) and mirror reflections.
Two separate prompts for generating Valentine's Day themed images: one for a high-fashion editorial shoot of a woman in a red satin gown, and another for a luxury perfume advertisement featuring a crystal bottle on a velvet pedestal.
A detailed JSON prompt for Nano Banana Pro to create an ultra-photorealistic editorial duo-panel collage (2x1 vertical grid). The prompt uses a single character reference (identity locked) and two different style references (black fur/martini and white feather/pizza) to generate two distinct, high-end party snapshots with strong on-camera flash lighting.
A structured prompt for generating an 8K ultra-realistic cinematic portrait of a couple by a riverside during daylight. The prompt details the appearance, posture, and subtle intimate interaction between the man and woman, focusing on soft lighting and a clean teal and gold color palette.
A highly complex, structured prompt for generating an ultra-photorealistic, candid image of two friends singing a karaoke duet in a dive bar. It specifies mixed neon/tungsten lighting, on-camera flash, subtle film grain, and strict identity/pose locking based on multiple reference images.
A prompt for Nano Banana Pro (Gemini 3 Pro Image) instructing it to take an input image (of the comedy duo Viking) and transform the right side of the image into the style of the Dragon Quest X Sage's ability, 'Breath of God.' The user noted this attempt was a failure, possibly due to misinterpretation of the reference image.
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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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