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Por favor, crea una pose de lucha para el personaje adjunto basándote en la hoja de personaje. Reproduce fielmente los detalles y el coloreado del personaje. Recrea la escena con un ángulo de cámara desde una vista lateral diagonal, mostrando al personaje posando en un acantilado con vistas al mar. Utiliza un estilo fotográfico realista y genera la relación de aspecto en 16:9.
Activo de juego - Generación de poses de lucha de personajes Wingman
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Una instrucción detallada para generar una imagen de un personaje de 'Wingman' en una pose de lucha, basada en una hoja de personaje cargada. Especifica la reproducción fiel de los detalles y el color, un ángulo de cámara dinámico (vista lateral diagonal) y un escenario específico (posando en un acantilado con vistas al mar). Se solicita la salida en un estilo fotográfico realista con una relación de aspecto de 16:9.
Stop listing specs. Start selling value. This prompt converts your raw technical features (e.g., "WebSockets support") into high-converting marketing copy (e.g., "Real-time collaboration"). Ideal for Indie Hackers and Engineers.
A prompt designed to transform an uploaded image of a person into a realistic miniature figurine. The figurine should be full-body, isometric, and perfectly match the features of the reference image. The scene is a cute Japanese flower shop with a white background and minimal style, rendered in 4K resolution.
A prompt designed for image-to-image transformation, instructing the AI to convert an uploaded portrait into a stylized 3D action figure. It specifies the style (glossy plastic toy, simplified features, big eyes) and the background (toy store shelf with blurred boxes), while requiring the main facial characteristics of the original person to remain recognizable.
A prompt template for creating modern, design-led character illustrations in a single, static pose, instructing the AI to simplify anatomy and clothing, and use soft lighting with a restrained color palette.
A detailed prompt for generating an isometric 2.5D architectural slice illustration of a multi-story building integrated into a neighborhood. The scene features small, cute anthropomorphic animals living their daily lives in clearly defined rooms, emphasizing clean line art, balanced composition, and sharp details. The user can customize the scene's theme.
A cinematic, hyper-realistic prompt for generating a First-Person View (POV) image of riding a red futuristic sport motorcycle. It details the cyberpunk setting (hyperloop tunnel above a metropolis), the color palette (teal and orange), and camera effects (wide-angle lens, heavy motion blur, low shutter speed) to simulate high-velocity movement.
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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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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, 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, 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, Browsing and interaction data, Non-precise location data, Precise location 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, Authentication-derived identifiers, Browsing and interaction data, User-provided 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, User-provided data, Precise location data
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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