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{
"image_generation_prompt": {
"subject": "Uma criatura híbrida bebê fofa e de olhos arregalados, com uma mistura de pelo macio e fofo de preguiça marrom e escamas iridescentes de dragão verde, apresentando pequenas asas laranja.",
"action": "A criatura está sentada em um tronco musgoso, segurando uma flor de orquídea rosa mágica e brilhante que emite uma luz suave e etérea.",
"environment": "Uma copa de selva tropical exuberante e ensolarada, com folhagem densa, cipós pendurados e um suave bokeh.",
"art_style": "Animação 3D de alta fidelidade, estilo Disney-Pixar, apresentando olhos grandes e expressivos e texturas detalhadas.",
"lighting": "Iluminação cinematográfica com luz solar natural filtrando através das folhas (raios de Deus) combinada com um brilho mágico bioluminescente da orquídea.",
"composition": "Plano próximo focado na expressão cativante da criatura e no contraste entre as texturas de pelo e escamas."
},
"metadata": {
"aspect_ratio": "16:9",
"quality": "Ultra-HD",
"style_reference": "Modern 3D Feature Film"
}
}
Ativo de Jogo - Criatura Híbrida Preguiça-Dragão no Estilo Disney-Pixar
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Um prompt estruturado para gerar uma imagem de animação 3D de alta fidelidade no estilo Disney-Pixar. Ele descreve uma criatura híbrida fofa (pelo de preguiça e escamas de dragão) sentada em um tronco coberto de musgo e segurando uma orquídea rosa mágica e brilhante em uma selva tropical ensolarada.
A highly technical JSON prompt for generating an 'E-Girl Mirror Selfie' with a minimalist goth style. It specifies engine configuration, including LoRA slots and sampling settings, but its core instruction is to enforce a deep depth of field (f/11) so that the subject, bed texture, and background wall are all sharp, contrasting the typical shallow depth of field in portraits.
A highly technical JSON prompt for generating an 'E-Girl Mirror Selfie' with a minimalist goth style. It specifies engine configuration, including LoRA slots and sampling settings, but its core instruction is to enforce a deep depth of field (f/11) so that the subject, bed texture, and background wall are all sharp, contrasting the typical shallow depth of field in portraits.
A structured JSON template designed for generating a multi-frame editorial fashion portrait series (grid style). It outlines common elements like lighting (direct flash/golden hour, high contrast) and realism, and provides customizable slots for two distinct frames, allowing the user to define specific poses, angles, and visual prompts for each section of the grid while maintaining facial consistency.
A detailed Nano Banana prompt for generating a vintage and elegant portrait of a subject seated on a high stool on a casino floor. It specifies the subject's attire (black mini slip dress with rhinestone straps, chunky platform sandals), the environment (Psychedelic patterned carpet, tufted red bar stool, slot machine marquee), and technical camera settings (direct on-camera flash, extreme low angle, 2000s digital compact camera simulation) to achieve a high-contrast, retro Las Vegas 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, 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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