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A cinematic short video of a woman baking sweets. Unifiedwith film-like color tones, soft highlights, warm shadows, and shallow depth of field, the woman's cuteness is expressed only through gestures, subtle expressions, and reactions to sound. It begins with a close-up of her hands, depicting a series of actions—mixing ingredients, pouring, baking in the oven, and finally taking a bite—accompanied by ASMR-like immersive sounds (contact sounds of utensils, baking sounds, breathing). A warm video composed of smooth gimbal work and focus pulls, with natural transitions timed to the peak of movement and sound.
YouTube Thumbnail - Cinematic Short Video Prompt for Baking Scene
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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.
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 cinematic prompt used for video generation (Kling 3.0 Omni based on Nano Banana Pro images) describing the process of embroidery. It emphasizes soft backlighting, pastel colors, close-ups of the needle and thread, a time-lapse of the pattern expanding, and a final shot of the completed work, all unified by a shallow depth of field and film grain.
A video created using Kling 3.0 Omni, which sequences four images generated by Nano Banana Pro based on a shared prompt (developed by GPT-5). The prompt focuses on a cinematic, four-cut sequence depicting a woman's charm through casual conversation, using ASMR and binaural audio.
A cinematic video prompt, generated by GPT-5 and used for Kling 3.0 Omni, describing a four-cut sequence of a cute woman painting a wall. The prompt specifies camera shots (extreme close-up, medium, artistic cut, wide shot), soft pastel tones, and shallow depth of field to create a warm atmosphere.
A summary of a cinematic food short video prompt, which was used to generate images in Nano Banana Pro and then converted into a video using Kling 3.0 Omni. The prompt was generated by GPT-5.
A comprehensive, cinematic prompt used to generate a 4-cut video focused on Japanese cuisine, emphasizing ASMR elements, smooth transitions (match cuts/pans), warm lighting, and a minimalist piano soundtrack with Japanese instrument accents. The prompt was used for both image generation (Nano Banana Pro) and video generation (Kling 3.0 Omni).
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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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