Against a backdrop of a tree-lined street with sunlight filtering through the leaves and a clear blue sky, a blonde girl wearing a blue checked uniform and black platform shoes walks lightly. She stops and looks back over her shoulder with a shy smile, turns while holding the hem of her skirt, and looks up at the sky while hugging her black school bag to her chest. Finally, she waves at the camera with a beaming smile and runs off into the light. A video characterized by a pop and refreshing atmosphere and dynamic camera work.
Social Media Post - Blonde Girl Walking Down a Tree-Lined Street Video Prompt
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This prompt was used to generate a single scene image with Nano Banana Pro, which was then used to create a five-cut video using Kling 3.0 Omni. The prompt describes a blonde girl walking along a tree-lined street with sunlight filtering through the leaves, wearing a blue checked uniform and black platform shoes, featuring dynamic camera work and a refreshing atmosphere.
A highly specific prompt for generating an ultra-photorealistic, suggestive candid photo of a Slavic blonde woman walking up an apartment stairwell at night. It includes detailed character lock parameters (slim thick body type, platinum blonde hair), outfit details (micro skirt, thigh-high stockings), and camera perspective (low angle, iPhone 15 Pro Max look) with a constraint for suggestive but not explicit content.
A JSON prompt for generating a photorealistic fashion image of a woman walking confidently on an upscale city street, wearing a burgundy mini dress and a long camel-colored trench coat, emphasizing cinematic depth of field and soft natural daylight.
A detailed JSON prompt for generating a side-by-side image of Kpop idol Tzuyu walking on a city sidewalk. The prompt specifies her outfit (glossy black vinyl romper, sheer tights, stilettos), pose, urban background details, and high-contrast, cool daylight color grading.
A structured prompt for generating a cinematic street photograph of a stylish woman walking in the evening. It focuses on a dark green winter coat, long light brown hair, and a background featuring warm red tones and soft bokeh from city lights, creating an elegant, urban, and slightly mysterious mood.
A prompt for generating an HD photo of a stylish young person wearing sunglasses, a dark shirt, and blue cargo pants, walking confidently. The background is specified as a misty, ethereal landscape with muted teal and the number '2026' visible.
A detailed JSON prompt for Nano Banana Pro to generate a hyper-realistic black and white dynamic street fashion photograph. The subject is a stylish woman walking briskly across a busy urban intersection, wearing an oversized blazer and loose trousers. The prompt specifies a paparazzi aesthetic, frontal tracking shot perspective, high contrast rim lighting, and vintage film stock emulation for post-processing.
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The choices you make regarding the purposes and entities listed in this notice are saved and made available to those entities in the form of digital signals (such as a string of characters). This is necessary in order to enable both this service and those entities to respect such choices.
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.
In support of the purposes explained in this notice, your device might be considered as likely linked to other devices that belong to you or your household (for instance because you are logged in to the same service on both your phone and your computer, or because you may use the same Internet connection on both devices).
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Your device might be distinguished from other devices based on information it automatically sends when accessing the Internet (for instance, the IP address of your Internet connection or the type of browser you are using) in support of the purposes exposed in this notice.
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With your acceptance, certain characteristics specific to your device might be requested and used to distinguish it from other devices (such as the installed fonts or plugins, the resolution of your screen) in support of the purposes explained in this notice.
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:
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For accelerated mobile page (AMP) sites, your choices are saved in local storage prefixed by “amp-store”. Your choices will be invalidated after 390 days and overwritten once you make new privacy choices on this site.
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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, 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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