
Durarara-Style Tokyo Crossing Key Visual
A cinematic anime ensemble poster showing five urban characters around a black motorcycle in a neon Tokyo crossing.
This is a GPT Image 2 prompt case for Anime & Game. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.
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Prompt
Copy-ready prompt
Create a polished anime key visual inspired by Durarara!!, set in a busy Ikebukuro/Shibuya-style Tokyo crossing at midday under a vivid blue sky with scattered clouds. The scene features exactly five main characters arranged across the foreground and midground: 1) at far left, a slim black-haired teenage boy in a dark school uniform, hands in pockets, carrying a shoulder bag, looking serious and slightly away from camera; 2) left-center behind the motorcycle, a cheerful blond teenage boy in casual school clothes holding a smartphone and smiling; 3) center foreground, a headless female rider based on {argument name="character name" default="Celty Sturluson"}, wearing a glossy black leather catsuit and a reflective gold cat-eared helmet with a blue mirrored visor, seated beside or leaning on a sleek black futuristic sport motorcycle, with dark smoky shadow tendrils drifting from the neck area; 4) right-center, a shy black-haired schoolgirl with glasses in a blue sailor-style uniform with red neck ribbon, holding her schoolbag straps; 5) far right, a tall blond man in an immaculate white bartender suit and black shirt, sunglasses, casually holding a metal street sign pole across one shoulder. Use dramatic cinematic perspective with the large black motorcycle dominating the lower half of the image, wet reflective pavement, dense pedestrian crowds in the background, red traffic light overhead, and towering buildings covered in colorful Japanese neon billboards and signs including visible shop signage such as {argument name="store sign text" default="TSUTAYA"}. Visual style: high-detail modern anime illustration, sharp linework, glossy highlights, saturated cyan-magenta city lighting, realistic reflections, dynamic urban depth, no borders or watermark. Mood: stylish, cool, mysterious, ensemble cast promotional poster. Include the quote atmosphere of {argument name="quote theme" default="The world is not as cruel a place as you think"} without adding large readable quote text.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
Best for
- - Anime & Game visual exploration
- - Image generation and reference-image edits
- - Reusable briefs that keep source attribution visible
Change these parts
- - Subject, product, character, or scene
- - Aspect ratio, camera, lighting, and background
- - Brand, text, color, and output constraints
Recommended model and settings
- - Model: gpt-image-2
- - Input mode: Text to Image
- - Aspect ratio: source
- - Commercial status: review original source
How to use this prompt
- 1. Copy the prompt and preserve its structure for the first test.
- 2. Replace the subject, context, and publishing channel.
- 3. Change one camera, lighting, or style variable per iteration.
- 4. Inspect the output, source, text, and rights before reuse.
Limitations, source, and reuse cautions
- - Generated output is an editable draft, not factual, legal, or rights evidence.
- - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
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Reuse and source notes
Use this prompt safely after previewing the case.
- 1.Copy the prompt or open it directly in Dovoo with the generation button.
- 2.Adjust variables, aspect ratio, and reference images for your own use case.
- 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.
Can I use this prompt commercially?
Commercial-use status is allowed. Review the original source, license, brand constraints, and legal requirements before paid usage.
Where does this case come from?
This case is imported from Awesome GPT Image 2 Prompts; keep attribution visible and check the source URL before reuse.





