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Sign in to save "Infographie / Visuel éducatif - Planche de documentation d'horloger (vue éclatée)" to your library and access it anytime.
Tableau de documentation d'un maître horloger pour {argument name="timepiece" default="un Chronographe Tourbillon"} — {argument name="manufacture" default="Patek Philippe"} / {argument name="complication" default="Quantième Perpétuel"} / {argument name="year" default="1950"}. Section de gauche : contexte historique montrant les dessins de brevet originaux, des publicités d'époque dans des cadres dorés et des photographies d'archives de l'atelier avec des artisans au travail. Section centrale : le mouvement en vue éclatée, chaque roue, ressort et rubis suspendus dans une relation spatiale précise, avec des indications de matériaux (Côtes de Genève, vis bleuies, rubis) et des annotations fonctionnelles traçant le flux de puissance du barillet à l'échappement. Section de droite : la montre achevée dans son contexte de définition — poignet d'un explorateur, poche d'un diplomate ou vitrine d'un collectionneur — capturée avec une faible profondeur de champ et un éclairage latéral chaud. Le style visuel passe du bureau des brevets sépia à la précision mécanique chromée, puis au portrait intime. Bloc de titre indiquant "{argument name="watch name" default="[NOMDELAMONTRE]"} — CALIBRE {argument name="calibre number" default="[NUMÉRO]"}, {argument name="complication" default="[COMPLICATION]"}, VERS {argument name="year" default="[ANNÉE]"}".
Un modèle d'invite conçu pour générer un tableau de documentation complexe et multi-sections pour une montre, combinant des dessins de brevets historiques, une vue éclatée détaillée du mouvement (avec des indications de matériaux) et un portrait intime de la montre achevée, en faisant varier les styles visuels sur l'ensemble du tableau.
Stop listing specs. Start selling value. This prompt converts your raw technical features (e.g., "WebSockets support") into high-converting marketing copy (e.g., "Real-time collaboration"). Ideal for Indie Hackers and Engineers.
A complex prompt for generating a collage-style image of an expedition planning board, divided into three sections: a topographical route map, an organized inventory of equipment, and an epic environmental photograph of the destination. The prompt is designed for use in Adobe Firefly and allows customization of the journey details.
A prompt template for generating a vintage patent-style technical illustration of an object. It specifies black ink linework, sepia accents, hand-lettered labels, cross-section views, and an official patent border on aged cream parchment paper, aiming for the aesthetic of 1890s mechanical engineering drawings.
A structured prompt designed for Adobe Firefly using Nano Banana Pro to create a hyper-realistic, cinematic cross-section of a dish. It uses a scientific illustration style with labeled layers, dramatic lighting, and a Wes Anderson aesthetic.
A complex, multi-section text prompt for generating a detailed, documentary-style visualization of a historical or fictional event (conflict, expedition, or migration) using a cartographer's crisis board aesthetic. It requires a visual transition from calm topography to urgent wartime graphics and melancholic aftermath, suitable for use with Nano Banana Pro and Adobe Firefly.
A customizable prompt template for generating a top-down flat lay image of food ingredients arranged in a radial burst pattern, designed to look like a luxury cookbook editorial or heritage restaurant poster, with technical annotations and a central plated dish.
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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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