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{
"image_generation_prompt": {
"subject": "Une adorable créature hybride aux grands yeux, mélange de fourrure douce et duveteuse de paresseux brun et d'écailles de dragon vert irisé, avec de petites ailes orange.",
"action": "La créature est assise sur une bûche moussue, tenant une fleur d'orchidée rose magique et lumineuse qui émet une douce lumière éthérée.",
"environment": "Une canopée de jungle tropicale luxuriante et ensoleillée avec un feuillage dense, des lianes suspendues et un doux bokeh.",
"art_style": "Animation 3D haute fidélité, style Disney-Pixar, avec de grands yeux expressifs et des textures détaillées.",
"lighting": "Éclairage cinématographique avec la lumière naturelle du soleil filtrant à travers les feuilles (rayons divins) combiné à une lueur bioluminescente magique émanant de l'orchidée.",
"composition": "Plan rapproché se concentrant sur l'expression attachante de la créature et le contraste entre les textures de la fourrure et des écailles."
},
"metadata": {
"aspect_ratio": "16:9",
"quality": "Ultra-HD",
"style_reference": "Long métrage d'animation 3D moderne"
}
}
Ressource de jeu - Créature hybride Paresseux-Dragon dans le style Disney-Pixar
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Une invite structurée pour générer une image d'animation 3D haute fidélité dans le style Disney-Pixar. Elle décrit une adorable créature hybride (fourrure de paresseux et écailles de dragon) assise sur une bûche moussue et tenant une orchidée rose magique et lumineuse dans une jungle tropicale baignée de soleil.
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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