Depict a scene of embroidery creation enveloped in soft backlighting and pastel colors. Seamlessly transition from extreme close-ups of the needle and thread, through a time-lapse of the pattern expanding and delicate hand movements, to a wide shot of the completed work. A cinematic video with an intimate and lovely atmosphere, unified by shallow depth of field and film grain.
YouTube Thumbnail - Cinematic Embroidery Scene Video
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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 detailed image generation prompt designed for the Gemini Nano Banana Pro model, instructing it to render a character portrait as hyper-realistic, museum-quality hand embroidery artwork. It strictly mandates preserving the uploaded image's character details (facial structure, expression, outfit, pose) and translating them into realistic satin, long-and-short, and dense fill stitches, focusing on thread sheen, precise stitch direction, and photorealistic texture.
A prompt for generating a mirror selfie of a woman in a Bohemian-Indian fusion outfit (choli and lehenga) with intricate embroidery and cowrie shell details. The scene is set in an indoor bedroom with soft, diffuse lighting, focusing on the festive aesthetic and specific accessories like a maang tikka and decorative bindi dots, mimicking a candid social media influencer style.
A prompt for generating an 8K UHD hyper-realistic fashion portrait featuring a woman in a couture emerald velvet gown with gold embroidery, walking beneath a colossal, ornamental dragon whose scales resemble luxury textiles, set inside an immense Renaissance-inspired marble palace.
A prompt specifically tailored for e-commerce product listings, focusing on generating a full-body image of a model wearing a highly detailed, embroidered dark pinstripe blazer. The prompt ensures exact replication of the embroidery patterns from a reference image and sets the scene in an elegant, softly lit modern living room, prioritizing texture and accurate color representation.
A prompt specifically tailored for e-commerce product listings, focusing on generating a full-body image of a model wearing a highly detailed, embroidered dark pinstripe blazer. The prompt ensures exact replication of the embroidery patterns from a reference image and sets the scene in an elegant, softly lit modern living room, prioritizing texture and accurate color representation.
A highly detailed, structured prompt for Gemini Nano Banana Pro 3.0 to generate an exaggeratedly realistic image of a woman in a couture emerald-green velvet gown with phoenix embroidery, standing confidently against a backdrop of dark volcanic rocks.
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Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services (for instance, the forms you submit, content you look at), possible interests and personal aspects. This can for example be used to adapt the order in which content is shown to you, so that it is even easier for you to find (non-advertising) content that matches your interests.
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Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).
Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.
Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).
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Your data can be used to monitor for and prevent unusual and possibly fraudulent activity (for example, regarding advertising, ad clicks by bots), and ensure systems and processes work properly and securely. It can also be used to correct any problems you, the publisher or the advertiser may encounter in the delivery of content and ads and in your interaction with them.
Certain information (like an IP address or device capabilities) is used to ensure the technical compatibility of the content or advertising, and to facilitate the transmission of the content or ad to your device.
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).
Identify devices based on information transmitted automatically
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.
Actively scan device characteristics for identification
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:
For sites, your choices are saved in a cookie named “FCCDCF” for a maximum duration of 390 days.
For apps, your choices are saved in device storage prefixed by “IABTCF_”. Your choices will be invalidated after 390 days and overwritten once you make new privacy choices on this app.
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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, 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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