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Szene1VerwendenSie eine sanfte Dolly-Aufnahme, um sich dem Fenster zu nähern, wobei Sie von einer Totale zu einer Halbtotale des Subjekts übergehen, das im Morgenlicht tief durchatmet. KonzentrierenSie sich auf subtile Bewegungen wie das Entspannen der Schultern und Fingerreaktionen, um eine liebliche Atmosphäre mit entfernten Naturgeräuschen (Vogelzwitschern, Wind) zu schaffen, die mit zarter Klaviermusik unterlegt sind. Überblenden Sie zu einer Nahaufnahme, in der sich das Fensterlicht auf den Fingerspitzen spiegelt.
Szene2VerwendenSieNahaufnahmen, die sich auf dampfende Tassen und kleine Objekte konzentrieren, um den Handbewegungen (Tasse heben, mit einem Löffel umrühren usw.) rhythmisch zu folgen. VerwendenSie eine Kombination aus Zeitlupe und leichtem Zeitraffer, um Wärme und Unschuld auszudrücken, wobei Soundeffekte wie Atmen und kleines Lachen überlagert werden. DerDampf füllt den Bildschirm und löst sich auf, was zur nächsten Szene führt.
Szene3DieKamera zieht sich zurück, um die gesamte Szene zu zeigen, und endet mit der leichten Bewegung des Subjekts, das bereit ist, hinauszugehen. ZeigenSie die verweilende Atmosphäre durch den Rhythmus der Schritte und Handgesten, und schließen Sie filmisch mit einer Gegenlichtsilhouette und sanften Farbtönen ab. DieMusik blendet sanft aus und hinterlässt das verweilende Gefühl des Alltags.
Comic / Storyboard - Morgenroutine-Videogenerierung mit Kling 3.0
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Ein detaillierter Video-Prompt, generiert vom Freepik-Assistenten (GPT-5) basierend auf einem Bild von Nano Banana Pro, verwendet zur Erstellung einer kurzen Filmsequenz mit Kling 3.0. Der Prompt beschreibt drei Szenen, die sich auf sanfte Kamerabewegungen, Nahaufnahmen von Morgenritualen und einen filmischen Abschluss konzentrieren.
A highly structured JSON prompt for Nano Banana designed to generate a 4-quadrant grid image depicting a consistent identity through a daily routine (morning, run, coffee, breakfast). It emphasizes hyper-realistic neural synthesis, 8K RAW fidelity, and 100% geometry match across quadrants, based on an uploaded reference image.
A simple prompt for creating a colorful, illustrated poster designed for children, outlining a routine like 'How to Brush Your Teeth' using cartoon elements and clear steps.
A detailed prompt for generating a 2x2 grid of images for a luxury haircare campaign (Nanogen shampoo). Each panel represents a stage of the routine (Cleanse, Condition, Rinse, Results), specifying the setting, lighting, and subject's appearance for a high-end, photorealistic beauty advertising aesthetic.
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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, 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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