
Urban Rooftop Book Cafe Fashion Shot
Source-attributed GPT Image 2.5 image prompt from the Awesome GPT Image 2.5 Prompts repository.
This is a GPT Image 2.5 prompt case for Fashion & Beauty. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2.5 Prompts attribution plus commercial-use rights before reuse.
Prompt
Copy-ready prompt
摄影风格:日间清亮高光CCD生活照风 写真方向:都市文艺生活写真 场景方向:商业建筑开放式露台书吧 / 白色书架 / 浅木桌面 / 城市绿植与天空 服装方向:蓝莓紫色修身方领短袖针织上衣 + 奶油白高腰A字短裙
Best for
- - Fashion & Beauty 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-2-5
- - Input mode: Text to Image
- - Aspect ratio: source
- - Commercial status: restricted
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 restricted. 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 2.5 Prompts; keep attribution visible and check the source URL before reuse.