
Japanese Facial Beauty Report Layout
Generates a polished Japanese beauty-analysis report UI from a reference portrait, useful for mockups of skincare, cosmetics, or facial assessment services.
This is a GPT Image 2 prompt case for Graphic & Poster. 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
Using REFERENCE_0, turn the uploaded portrait into a clean, premium Japanese aesthetic analysis dashboard titled {argument name="headline text" default="顔立ち美容レポート"}. Keep the same photo as the source image, Show every face clearly with natural, detailed facial features, and place it in a rounded card at the top right. Reformat the output as a white editorial report page with thin gray borders, black typography, and a luxury beauty-consultation layout. Add these 8 report sections: 1) top header with small English text "FACIAL BEAUTY REPORT ✦", the large Japanese title, and the subtitle "あなたらしさを活かし、より魅力的になるための分析レポート"; 2) an OVERVIEW box listing exactly 5 rows: 年齢(推定) 20–24歳, 性別 女性, 顔の形 やや卵型, パーソナル印象 清潔感・親しみやすい・柔らかい, 分析日 2024.05.24; 3) a total score box labeled 総合魅力度スコア with a circular gauge showing {argument name="total score" default="82"}/100 and a small score guide reading 50=平均的 / 70=良い / 85=非常に良い / 90+=優秀; 4) a metrics box with exactly 7 bullet scores: 左右対称性 84/100, 顔の比率(プロポーション) 83/100, 骨格・輪郭 80/100, 肌質 85/100, 目の魅力 85/100, 鼻のバランス 78/100, 口元の魅力 81/100, 全体の調和 83/100; Show every face clearly with natural, detailed facial features, 1/3, 1/3 vertically and 1/5 repeated 5 times along the bottom; 6) a 詳細分析 section with exactly 8 rows matching the metrics above and short explanatory Japanese comments; 7) a strengths box titled 強み(あなたの魅力ポイント) with exactly 3 icon-led items: クリアで印象的な目元, なめらかな肌質, バランスの取れた輪郭; 8) an improvements box titled 改善できる点(より魅力を高めるために) with exactly 3 icon-led items: 目の下のクマ, 鼻の立体感, 唇の血色感; 9) a final recommendation row titled 身だしなみ・スタイル改善提案 with exactly 4 columns labeled ヘアスタイル, メイク, スキンケア, ライフスタイル, each with a simple black line icon and short Japanese advice. Add a small footer line on the bottom right reading {argument name="footer text" default="BEAUTY IS BALANCE."}. Overall style: minimalist clinic report, balanced grid layout, soft shadows, rounded panels, black and gray only, highly legible Japanese magazine design.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
Best for
- - Graphic & Poster 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: Image 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.





