Japanese Text and Layout Comparison Prompt (3-Panel Manga)

A detailed prompt designed to test the Japanese text rendering and layout capabilities of GPTs Image 1.5 versus Nano Banana Pro. It specifies a 3-panel horizontal manga format, character consistency, and requires precise, uncorrupted Japanese text within

示例提示词
[Format] Horizontal 3-panel manga (left to right). Anime style + pop. Bright color scheme. Clean lines. Simple office background. [Characters] Emma (20s female, black bob, white shirt + navy jacket, expressive face). Consistent appearance across all panels. [Text] Japanese text displayed clearly and legibly. No typos, garbled characters, or broken text. Use the following text in the speech bubbles "exactly as written": Panel 1 (Left): Emma is explaining while pointing. Speech bubble text (exact match): "{argument name="Panel 1 Text" default="ChatGPT Images is good at illustrations, anime, and 3D expressions"}" Panel 2 (Center): Emma is doing design work (layout and typesetting). Speech bubble text (exact match): "{argument name="Panel 2 Text" default="Nano Banana is good at Japanese text and design"}" Panel 3 (Right): Comparison panel. Split the screen left/right, with headings "ChatGPT Images" on the left and "Nano Banana" on the right. Include checklists for each (in Japanese, short, and readable). Left (ChatGPT Images): 'Illustration', 'Anime', '3D Expression' Right (Nano Banana): 'Japanese Text', 'Design', 'Layout' Also, place a large "VS" in the center to compare the two compositions. [NG] No unnecessary text, arbitrary English additions, watermarks, signatures, unreadable text, or broken Japanese. [Image Quality] High resolution, sharp, suitable for SNS posting.
AI生成
AI模型
Nano-banana-pro

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当然可以!随意复制并定制这个提示词,以实现你的创作构想。对于character艺术作品,尝试添加风格、光照、构图或情绪等细节。你的描述越具体,AI就越能理解你的创意。浏览我们的character提示词合集,学习更多技巧。

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这个character提示词适用于大多数现代AI图像生成器,包括Nano Banana、Flux和GPT-Image。不同的模型各有专长——Nano Banana擅长character风格,而Flux则能生成逼真的照片级效果。

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优秀的character提示词通常包含:具体的主题细节、艺术风格参考、光照条件(如柔光、戏剧性阴影)、色彩搭配、情绪/氛围以及技术规格(如4K、细节丰富、高清)。研究我们的示例提示词,可以学到有效的模式。

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