水墨双重曝光人物海报

水墨双重曝光人物海报

Originaldokument

GPT Image 2 · en

A cinematic character promotional poster of [SUBJECT], vertical composition (9:16), designed with a refined East-Asian ink aesthetic and high-end visual storytelling.

STRUCTURE:
Top-heavy hierarchical layout. The upper half features a large, highly recognizable silhouette of [SUBJECT]'s head / face / mask / upper body, forming a bold, iconic primary shape. The silhouette should be instantly identifiable.

The middle-lower section contains the full-body version of [SUBJECT] as a secondary subject, standing in a stable pose or subtle action stance, forming the visual core.

COMPOSITION STYLE:
Inside the large silhouette and around the character, use double exposure and collage storytelling. Integrate multiple elements:
- key scenes related to [SUBJECT]
- symbolic imagery and environment
- small narrative figures and interactions
- supporting visual motifs

Blend everything seamlessly using clouds, mist, ink diffusion, and negative space.

VISUAL FLOW:
Create a continuous flowing visual path from top to bottom, connecting:
- upper silhouette
- inner collage elements
- full-body subject

Ensure smooth eye guidance and compositional cohesion.

SIDE ELEMENTS:
Add balanced supporting elements on left and right sides to create tension, depth, and spatial variation.

STYLE & ATMOSPHERE:
- Large areas of negative space
- Ink-wash diffusion edges, soft fading, subtle fragmentation
- Eastern aesthetic: balance of emptiness and detail
- Calm, premium, restrained, cinematic tone

QUALITY:
Ultra-detailed, high resolution, layered depth, soft lighting, atmospheric perspective, cohesive series-style design.

OUTPUT:
9:16 aspect ratio, poster-ready composition.

Verwendung

  1. Den vollständigen Original-Prompt einschließlich Parametern kopieren.
  2. Motiv, Text und Komposition an die eigenen Anforderungen anpassen.
  3. Ein kompatibles externes Werkzeug nutzen; Zugangsbedingungen und Ergebnis prüfen.

Vor dem Start

  • Prüfen, ob ein Referenzbild nötig ist. Kompatibilität belegt nicht das tatsächlich verwendete Modell.
  • Namen, Zahlen und Bildtexte prüfen; Modellversionen können andere Ergebnisse liefern.