Transformador meteorológico para visualización arquitectónica

Rellenar este prompt

Transforma el clima, la estación y las condiciones atmosféricas de una renderización arquitectónica adjunta, manteniendo una fidelidad estructural completa.

Plantilla de prompt

Transform the attached architectural visualization image into a realistic {{Target Atmosphere: Rainy November Afternoon, Sunny Summer Morning, Foggy Autumn Dawn, Snowy Winter Twilight, Golden Hour Sunset, Overcast Monsoon Storm, Crisp Spring Noon, Moody Cyberpunk Night, Mist-Covered Sunrise, Clear Starry Night}} in {{Location: Central Europe, Northern Europe, Mediterranean, North America, South America, East Asia, Southeast Asia, South Asia, Middle East, North Africa, Sub-Saharan Africa, Australia}}.

Preserve the exact camera position, composition, building geometry, proportions, materials, landscaping layout, and architectural details. Do not redesign or move any elements.

Change only the weather, season, lighting, and atmosphere to match the selected target:
- Sky adjusted to match the setting (e.g., overcast with thick clouds, clear sky, or low sun)
- Weather effects like {{Weather Intensity: None, Light, Moderate, Heavy}} visible throughout the scene
- Ground and building surfaces updated with realistic wetness, reflections, or snow accumulation
- Color palette adjusted to match the typical lighting of the chosen season and location
- Foliage conditions adjusted: {{Foliage: Bare with sparse leaves, Fully green, Vibrant autumn colors, Covered in snow, Tropical and lush}}
- Seasonal elements like fallen leaves, snow drifts, or dry dust scattered appropriately across sidewalks and streets
- Ambient grass condition modified to look damp, lush, dry, or snow-covered
- Atmospheric moisture, fog, or haze reducing distant contrast when applicable
- Lighting adjusted to fit the time of day (e.g., soft diffused daylight, harsh direct sunlight, or warm low-angle sun)
- Interior lights switched on or off to create believable contrast against the exterior environment
- Weather-specific details added (e.g., small puddles, water streaks on concrete, glass, and metal façades)
- People wearing context-appropriate clothing and carrying relevant accessories like umbrellas
- Vehicles with headlights configured correctly for the visibility conditions

Overall mood: {{Mood: Cold and wet, Warm and bright, Foggy and mysterious, Crisp and snowy, Cozy and cinematic}}, yet believable and visually appealing architectural photography.
Style: high-end architectural visualization, photorealistic, competition-quality render, natural lighting, realistic environment simulation, subtle cinematic atmosphere, not dramatic or dystopian.

Maintain 100% architectural fidelity to the original image while only changing seasonal and weather conditions. Do not change architecture, building dimensions, façade design, window layout, materials, landscaping design, camera angle, focal length, perspective, or urban layout. No redesign, no additional buildings, no structural modifications.

Guía del prompt

Ideal para

  • Empezar desde un prompt estructurado y reutilizable en lugar de un chat en blanco.
  • Adaptar el prompt a tus propios datos manteniendo intacta la intención original.
  • Flujos de trabajo relacionados con Creative & Visuals.

Cómo usarlo

  1. Copia la plantilla de prompt completa.
  2. Sustituye cada variable por tu propio contexto o elige una de las opciones sugeridas.
  3. Pega el prompt completado en ChatGPT, Claude, Gemini u otro asistente de IA.

Variables de este prompt

Target Atmosphere

Rainy November Afternoon, Sunny Summer Morning, Foggy Autumn Dawn, Snowy Winter Twilight, Golden Hour Sunset, Overcast Monsoon Storm, Crisp Spring Noon, Moody Cyberpunk Night

Location

Central Europe, Northern Europe, Mediterranean, North America, South America, East Asia, Southeast Asia, South Asia

Weather Intensity

None, Light, Moderate, Heavy

Foliage

Bare with sparse leaves, Fully green, Vibrant autumn colors, Covered in snow, Tropical and lush

Mood

Cold and wet, Warm and bright, Foggy and mysterious, Crisp and snowy, Cozy and cinematic

Ejemplo de partida

Transform the attached architectural visualization image into a realistic Rainy November Afternoon in Central Europe.

Preserve the exact camera position, composition, building geometry, proportions, materials, landscaping layout, and architectural details. Do not redesign or move any elements.

Change only the weather, season, lighting, and atmosphere to match the selected target:
- Sky adjusted to match the setting (e.g., overcast with thick clouds, clear sky, or low sun)
- Weather effects like None visible throughout the scene
- Ground and building surfaces updated with realistic wetness, reflections, or snow accumulation
- Color palette adjusted to match the typical lighting of the chosen season and location
- Foliage conditions adjusted: Bare with sparse leaves
- Seasonal elements like fallen leaves, snow drifts, or dry dust scattered appropriately across sidewalks and streets
-...

Cómo funcionan las variables

Sintaxis de variables

Las variables van entre {{ y }} y siguen este patrón:

{{variable name: option1, option2, option3 }}

Variables predefinidas

Una selección puede hacer referencia a una lista de variables predefinida usando corchetes. Aparecen en [naranja] y proporcionan valores de uso común como colores, tonos o idiomas.

{{Tone: [tones] }}

Listas de selección personalizadas

También puedes proporcionar una lista de opciones en línea, separadas por comas.

{{Format: bullet points, paragraphs, numbered list }}
💡

Consejo: ¡no necesitas la app PUCO para usar estos prompts! Solo copia la plantilla y sustituye cada sección {{…}} por tu propio texto directamente en ChatGPT, Claude, Gemini o cualquier otro asistente de IA.

Usa este prompt en segundos, no en minutos

Instala PUCO para Mac: pulsa un atajo en cualquier app, rellena un formulario inteligente, pega en ChatGPT, Claude o Gemini. Cada variable se convierte en un menú desplegable curado. Tus últimos valores se recuerdan.

Descargar en el Mac App Store