Original document
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, or 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:
- the upper silhouette
- the inner collage elements
- the full-body subject
Ensure smooth eye guidance and compositional cohesion.
SIDE ELEMENTS:
Add balanced supporting elements on the 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 balancing 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.How to use
- Copy the complete original prompt, including any parameters.
- Replace the subject, text and composition with your own requirements.
- Use a compatible external tool; check its current access conditions and review the result.
Before you start
- Check whether a reference image is required. A compatible model label does not mean this example was generated with that model.
- Keep names, figures and visible text accurate; results can vary between model versions.
