Rainy Japanese Movie Banner

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GPT Image 2 · en

Create an emotionally resonant banner poster for a Japanese movie trailer, employing a high vertical composition and a cinematic anime illustration style. The background is set on a Japanese city street on a rainy night, the ground reflecting the wet asphalt, neon signs lining the streets, and distant skyscrapers obscured by the haze. In the foreground, the silhouette of a young anime girl is shown, facing left, standing alone under a transparent plastic umbrella, raindrops visible on its surface. She has long, dark purple hair tied in a high ponytail, her expression slightly melancholic, wearing an oversized light blue hoodie and a loose pink-blue plaid coat. The overall atmosphere is lonely, melancholic, and dramatic, like a live-action film reimagined as an anime key visual. Use cool blue and cyan tones, accented with pink neon lights, to create a glossy rain reflection, a shallow depth of field, a soft, atmospheric haze, and subtle contour lighting from the street signs. Add a striking handwritten white Japanese title at the top.{argument name="title text" default="AI's Tears"} Add a smaller white subheading below.{argument name="tagline text" default="Why did she cry?"} Add a line of bold white release date at the bottom.{argument name="release text" default="Coming to theaters nationwide in Fall 2024"} Maintaining the character as the emotional focus, the composition employs a half-body shot from the waist up, with the umbrella arching above the head. The empty, rain-soaked street in the background further emphasizes the sense of loneliness and the cinematic atmosphere of sadness.

Mode d’emploi

1. Copiez le prompt original complet, paramètres compris.
2. Adaptez le sujet, le texte et la composition à vos besoins.
3. Utilisez un outil externe compatible ; vérifiez l’accès et le résultat.

Avant de commencer

• Vérifiez si une image de référence est nécessaire. La compatibilité ne prouve pas le modèle utilisé pour cet exemple.
• Vérifiez noms, chiffres et textes ; les versions du modèle peuvent produire des résultats différents.