Documento original
GPT Image 2 · en
Create a hyper-realistic {argument name="portrait type" default="luxury Hanfu fashion-editorial portrait"} inspired by premium Chinese beauty campaigns and cinematic Asian photography aesthetics.
IMPORTANT:
Generate ONLY ONE SINGLE VERTICAL IMAGE.
Do NOT create multiple posters.
Do NOT create collages.
STYLE:
Luxury glossy realism.
Elegant bold feminine aesthetics.
Soft cinematic editorial photography.
MAIN CONCEPT:
A luxury Hanfu beauty reclining beside glowing lanterns with flowing silk fabric and dreamy emotional atmosphere, blending ancient elegance with modern fashion-editorial energy.
MODEL:
Adult Chinese female model with sophisticated mature beauty.
Glossy realistic skin.
Luxury emotional makeup.
Elegant cinematic expression.
OUTFIT:
{argument name="clothing color" default="Champagne-gold"} {argument name="fabric type" default="satin Hanfu"} with:
deep silk folds,
luxury embroidery,
soft reflective fabric,
flowing sleeve movement,
and elegant fitted styling.
VISUAL STRUCTURE:
- cinematic reclining composition
- glossy beauty close-up
- elegant silk folds
- dreamy editorial framing
- luxury atmospheric depth
- cinematic composition balance
BACKGROUND:
Luxury ancient-Chinese {argument name="background setting" default="lantern garden"} with:
warm lantern glow,
soft fog atmosphere,
floating petals,
traditional architecture silhouettes,
and dreamy cinematic depth blur.
COLOR PALETTE:
Champagne gold,
soft ivory,
warm amber,
cream beige,
deep shadow tones.
LIGHTING:
Warm cinematic lantern lighting.
Luxury glossy skin highlights.
Dreamy editorial glow.
MOOD:
Luxury.
Elegant.
Bold feminine beauty.
QUALITY:
Ultra realistic native 4K HDR realism.
Natural skin pores.
Detailed satin textures.
Looks like a real luxury Chinese fashion-editorial campaign.Cómo usar
- Copia el prompt original completo, incluidos los parámetros.
- Adapta el tema, el texto y la composición a tus necesidades.
- Usa una herramienta externa compatible; comprueba el acceso y el resultado.
Antes de empezar
- Comprueba si necesita una imagen de referencia. La compatibilidad no demuestra qué modelo generó el ejemplo.
- Revisa nombres, cifras y textos; el resultado puede variar entre versiones del modelo.
