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Uma cena cinematográfica dramática em uma floresta escura e nebulosa onde duas figuras encapuzadas se chocam, uma delas liberando uma explosão de energia vermelha brilhante que ilumina as árvores, faíscas voando, sombras profundas, atmosfera densa, iluminação de alta detalhe e composição melancólica.
Banda desenhada / Storyboard - Cena dramática de confronto cinematográfico na floresta
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Um prompt para gerar uma cena cinematográfica dramática ambientada em uma floresta escura e nebulosa, retratando duas figuras encapuzadas em confronto, com uma delas liberando uma explosão de energia vermelha brilhante, enfatizando sombras profundas, atmosfera densa e iluminação de alta detalhes.
A system prompt instructing the AI to act as a world-class visual artist and content generator. Its task is to analyze the core identity of a game or book and construct a high-concept diorama inside a hollowed-out, context-appropriate shell. The diorama must feature miniature elements, assets, and characters from a famous level or scene, with lighting and style matching the source material.
A detailed image generation prompt designed for Gemini Nano Banana Pro, creating a 45° top-down isometric miniature 3D cartoon diorama based on the central Game of Thrones theme of Ice and Fire. The prompt specifies soft textures, realistic PBR materials emphasizing glittering frost and glowing embers, and a dramatic clash of cool blue and warm orange lighting. It includes specific compositional details like a split diorama base featuring The Wall/White Walkers on one side and a dragon/burning castle on the other, along with precise text overlays and a clean background.
A prompt for generating a dramatic, cinematic poster-style portrait of two epic fantasy warriors standing back-to-back in a frozen storm, symbolizing the clash of fire and ice with specific details on their appearance, attire, and the contrasting lighting and atmosphere.
A detailed JSON prompt for generating an ultra-photorealistic, wide-angle selfie portrait of a young woman in a modern business-class airplane cabin, specifying lighting, pose, clothing details (including chunky sneakers), and camera settings.
An extremely long and detailed prompt designed to generate a world-class cinematic Chinese style fashion portrait, similar to the style of actress Ma Sichun. The prompt specifies precise facial feature replication based on a reference image, detailed wardrobe (oversized cinnabar red top, cream wide-leg pants), complex setting (Huangshan cloud sea), and highly technical lighting and color grading instructions (Kodak Portra 400 simulation, Chiaroscuro lighting).
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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.
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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:
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.
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
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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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