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{
"image_generation_prompt": {
"subject": "Una adorable criatura híbrida de ojos grandes, mezcla de pelaje suave y esponjoso de perezoso marrón y escamas iridiscentes de dragón verde, con pequeñas alas naranjas.",
"action": "La criatura está sentada en un tronco cubierto de musgo, sosteniendo una flor de orquídea rosa mágica y brillante que emite una luz suave y etérea.",
"environment": "Un dosel de selva tropical exuberante y bañada por el sol, con follaje denso, lianas colgantes y un suave efecto bokeh.",
"art_style": "Animación 3D de alta fidelidad, estilo Disney-Pixar, con ojos grandes y expresivos y texturas detalladas.",
"lighting": "Iluminación cinematográfica con luz solar natural filtrándose a través de las hojas (rayos de Dios) combinada con un brillo bioluminiscente mágico de la orquídea.",
"composition": "Primer plano que se centra en la entrañable expresión de la criatura y el contraste entre las texturas del pelaje y las escamas."
},
"metadata": {
"aspect_ratio": "16:9",
"quality": "Ultra-HD",
"style_reference": "Película 3D moderna"
}
}
Activo de juego - Criatura híbrida de perezoso y dragón al estilo Disney-Pixar
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Un *prompt* estructurado para generar una imagen de animación 3D de alta fidelidad al estilo Disney-Pixar. Describe una tierna criatura híbrida (pelaje de perezoso y escamas de dragón) sentada en un tronco cubierto de musgo y sosteniendo una orquídea rosa mágica y brillante en una selva tropical bañada por el sol.
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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