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Image d'accroche 3D style Pixar, format 16:9.
PERSONNAGE : Personnage de feu avec un casque VR et le logo OpenGradient. Expression : réalisant/pointant. Pose : debout sur un chantier de construction, pointant du doigt une transformation dans les tuyaux.
SCÈNE : Un mur désordonné de tuyaux rouillés et fuyants étiquetés "OLD DEFI". Une section du tuyau se transforme en un conduit lumineux, cristallin et transparent, pulsant d'une énergie cérébrale verte.
PREMIERPLAN : Une lourde clé à molette et des plans flous sur un établi dans le coin. Crée de la profondeur.
ARRIÈRE-PLAN : Arrière-plan industriel sombre mais éclairé par la lueur verte du nouveau tuyau.
TEXTE : "PIPING TO BRAINS" à GAUCHE, blanc gras avec lueur.
COMPOSITION : Texte dominant 70/30.Profondeur de champ : premier plan flou -> sujet net -> léger flou d'arrière-plan. Éclairage cinématographique avec accent vert néon.
Miniature YouTube - Image d'accroche 3D style Pixar : De l'argent programmable à l'intelligence
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Une invite pour générer une image de crochet 3D de style Pixar illustrant la transition de « OLD DEFI » (tuyaux rouillés) vers l'« intelligence programmable » (conduit lumineux et cristallin). Elle représente un personnage de feu portant un casque VR et pointant la transformation, avec des instructions spécifiques pour la composition, la profondeur de champ et l'éclairage d'accentuation vert néon.
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 JSON prompt for generating a four-panel collage depicting a woman (Ana de Armas reference) working in a modern high-rise trading workspace during sunset. The prompt details the environment (city skyline, multiple monitors), the subject's focused expression, and various poses (seated, typing, standing) to convey themes of financial intelligence, urban success, and high-performance workflow.
A structured system prompt designed to be used with Nano Banana Pro to generate high-quality, 'sellable' eye-catching thumbnails for online content platforms like Brain, Tips, and Note. The prompt defines the role as a professional graphic designer and provides a detailed design style guide, including layout, color scheme, typography, and required input fields for customization.
A user-developed 'Master Prompt' for the Nano Banana PRO model, designed to create elite-tier, highly realistic NBA arena promotional images that capture the electric pre-game energy of any franchise, going beyond simple logo placement.
A complex, multi-step system instruction prompt designed to generate a hyper-realistic, macro-photography shot of a Pop-Up Book Diorama based on a given movie or book title. It instructs the AI to act as a Master Prop Maker and analyze the title to determine biome, conflict, vessel, and materiality, and then construct a detailed miniature action scene within the book's pages.
A summarized prompt used for both image and video generation (Kling 3.0 Omni) to create a cinematic short film about a woman baking. It emphasizes film-like color tones, shallow depth of field, ASMR-like sound details, and smooth camera work.
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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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