
Japanese Rainwear Catalog Layout
This prompt generates a polished Japanese editorial product sheet for a blue raincoat and matching hat, ideal for fashion catalog, brand lookbook, or e-commerce campaign visuals.
This is a GPT Image 2 prompt case for Fashion & Beauty. 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 clean, high-end Japanese fashion catalog page on a soft warm light-gray background, featuring a coordinated rainwear set laid flat as a product editorial. The central focus is 1 women's hooded raincoat in a muted dusty blue tone, shown front-facing and neatly arranged with sleeves slightly bent inward. The coat is mid-thigh length with a full front zipper, snap-button storm placket details near the collar, a large structured hood, adjustable drawcords at both the hood and waist, two vertical zip pockets, subtle seam construction, and a slightly longer curved back hem with a darker inner lining visible at the bottom opening. Above and to the right, place 1 matching wide-brim rain hat in the same dusty blue, angled slightly, with a darker contrasting brim underside and a small black tag on the crown. Use soft diffused studio lighting with gentle realistic shadows to give a premium product-photography look. Add editorial typography and callouts around the products in a minimalist Japanese layout. In the upper left, place a small Japanese tagline reading "雨の日も、わたしらしく。" above a large serif English headline reading "OUTDOOR SET UP". Beneath it, add a short vertical block of Japanese body copy describing the stylish functional raincoat-and-hat set. In the lower left, add a serif subheading "DETAILS" with 2 circular inset detail photos stacked vertically: the top circle shows a close-up of the hood and front fastening area with drawcord hardware; the bottom circle shows water droplets beading on the blue waterproof fabric. To the right of each circle, place short Japanese explanatory text. On the right side of the page, add 2 product callout labels in serif English with thin leader lines: "HAT" near the upper-right hat with a short Japanese description below, and "COAT" near the lower-right side of the coat with a short Japanese description below. Keep the layout airy and balanced, with elegant negative space, refined magazine styling, realistic garment textures, and a modern outdoor-luxury aesthetic.
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
- - 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.





