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Sign in to save "Marketing produit - Visuel publicitaire pour une barre chocolatée (affichage du processus)" to your library and access it anytime.
{
"_world": "advertising",
"creation_intent": "Display Craftsmanship or Technique",
"generation_logic": "Process or Production Itself is the Highlight",
"subject_kit": {
"primary_subject": "Barre de chocolat",
"secondary_elements": [
"Coulures fondantes",
"Poudre de cacao",
"Emballage en aluminium"
]
},
"core_tension": "Désir vs. Contrôle",
"twist_mechanisms": [
"Annotation Irony",
"Functional Mismatch",
"Sectional Logic"
],
"stage_context": "Blanc pur infini",
"composition_rule": "Composition miroir symétrique",
"lighting_rule": "Lumière de beauté supérieure Softbox",
"imaging_assumption": "Photographie de produit industrielle",
"deliverable_type": "Visuel publicitaire principal",
"creative_directive": null,
"oblique_strategy": null,
"_evaluation": {
"verdict": "PASS",
"violations": [],
"warnings": []
}
}
Marketing produit - Visuel publicitaire pour une barre chocolatée (affichage du processus)
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Un prompt JSON structuré pour générer un visuel publicitaire d'une tablette de chocolat, axé sur la présentation du processus ou de la technique, en utilisant les mécanismes de « logique sectionnelle » et de « décalage fonctionnel », le tout sur un fond blanc pur et infini avec un éclairage de beauté doux venant du haut.
A structured JSON prompt for Nano Banana Pro (MetaGeny framework) focused on advertising by showcasing craftsmanship or technology. It targets a chocolate bar, detailing elements like melting drips, cocoa powder, and foil packaging. The prompt uses a 'desire vs. control' tension, incorporating twists like ironic labeling and cross-section logic, set in a pure white infinite background with softbox beauty lighting, aiming for industrial product photography.
A set of two image prompts and one motion prompt for generating ultra-realistic, premium food advertising visuals of a chocolate bar. The first image prompt focuses on a neatly segmented, glossy chocolate bar, and the second is for an exploded infographic view. The motion prompt describes the chocolate spinning while ingredients separate precisely.
A complex, multi-module prompt designed for generating ultra-high detail, hyper-realistic commercial food photography. It specifies three distinct food subjects (waffle bowls, chocolate biscuit sticks, ice cream bar) with dynamic motion effects (mid-splash, floating ingredients), high-contrast studio lighting, and a luxury color palette.
A prompt focused on generating ultra-cinematic product photography of a premium protein bar. It emphasizes dynamic action, such as floating elements (chocolate, caramel, nuts) and high-speed splash effects, using dramatic studio lighting and a rich color palette for luxury advertising.
A highly detailed JSON prompt for generating an ultra-photorealistic, cinematic editorial scene set inside a vintage American dive bar. It focuses on a specific interaction between a man and a woman at a pool table, emphasizing warm vintage film grading, low-key tungsten lighting, and Americana styling.
A highly detailed JSON prompt for an image-to-image generation task, focusing on creating an ultra-realistic, cinematic editorial portrait of a woman seated at a luxury omakase sushi bar, strictly preserving the identity, pose, and facial features from a reference image.
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Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).
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Certain information (like an IP address or device capabilities) is used to ensure the technical compatibility of the content or advertising, and to facilitate the transmission of the content or ad to your device.
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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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The choices you make with this CMP regarding the purposes and entities will affect how personalized advertising is presented to you. We need to store these choices to respect them on future visits, and they are stored differently based on the type of site or app you're using:
For sites, your choices are saved in a cookie named “FCCDCF” for a maximum duration of 390 days.
For apps, your choices are saved in device storage prefixed by “IABTCF_”. Your choices will be invalidated after 390 days and overwritten once you make new privacy choices on this app.
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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, 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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