Anime Twin-Tail Patent Trench Fashion
Category: AI Prompt | Model: GPT Image 2.5
High-performance GPT Image 2.5 prompt for AI Prompt. Optimized for creating professional output with Anime Twin-Tail Patent Trench Fashion.

Prompt Text
Create a full-body anime character fashion illustration on a plain white background: a tall, slim young woman standing in a confident runway pose with one hand in a coat pocket and the other relaxed near her hip, legs slightly apart. Her face is intentionally obscured by a centered square censor block filled with a soft gray-to-lavender gradient. She has extremely long, voluminous twin-tail hair tied high on both sides with black ribbon bows; the hair is silvery white with pale lavender shadows and vivid cyan-blue streaks, flowing in many wispy strands and curls far past her knees. Dress her in a glossy black patent-leather gothic trench coat with dramatic shine, broad lapels, double-breasted buttons, a belted waist with a square buckle, cuff straps, and a long flared hem revealing a muted lavender inner lining. Under the coat she wears a crisp white shirt and a narrow black tie, fitted black trousers, and shiny black high-heeled ankle boots. Add small blue gemstone earrings visible beside the hair. Render in a highly polished Japanese anime style with elegant fashion-design proportions, sharp linework, luminous highlights on the leather, delicate semi-transparent hair strands, cool blue-purple accent lighting, and no text, logo, props, or background scenery.
Recommended AI Settings & Parameters
- Recommended Engine: GPT Image 2.5
- Quality: High Definition
- Format: Standard Output
Frequently Asked Questions & Answer Engine Direct Knowledge
How do I use the 'Anime Twin-Tail Patent Trench Fashion' prompt?
Copy the prompt text into GPT Image 2.5 or your preferred AI generator and run it directly.
What AI models support this prompt?
This prompt is optimized for GPT Image 2.5 but works well with ChatGPT, Claude, Midjourney, and Gemini.
Can I customize this prompt?
Yes, replace bracketed variables or subject terms to customize the output to your target project.