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书籍主角文字云书法排版

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书籍主角文字云书法排版 · Source example
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More source images(2 images)书籍主角文字云书法排版 · Additional source example

Complete prompt

MarkdownJSON
16:9, 2x2 grid, do this for 4 non copyrighted book main characters: Generate a typographic calligram artwork for [SUBJECT].  Rules: - infer SUBJECT_DNA automatically - choose the most iconic silhouette, object, scene, creature, architecture, gesture, or symbol from SUBJECT - construct the image primarily from dense microtext rather than normal drawing - use TEXT_SOURCE to build the visual texture - if no exact text is supplied, use invented thematic fragments, metadata, chapter-like phrases, labels, dates, keywords, and atmospheric wording - the subject must emerge from typography density, spacing, line breaks, text size, and negative space - preserve a strong readable silhouette from far away - close inspection should reveal thousands of tiny words, phrases, captions, and text fragments - use monochrome ink, aged paper, archival grain, and vintage printed texture - no hard-coded movie, quote, character, object, scene, text, or symbol unless supplied
Chinese prompt
16:9,2x2网格,为4个非版权书籍主角执行此操作:为[SUBJECT]生成排版书法作品。规则:- 自动推断SUBJECT_DNA - 从SUBJECT中选择最具代表性的轮廓、物体、场景、生物、建筑、姿态或符号 - 主要由密集的微型文本而非普通绘画构建图像 - 使用TEXT_SOURCE构建视觉纹理 - 如果未提供确切文本,请使用虚构的主题片段、元数据、类似章节的短语、标签、日期、关键词和氛围词汇 - 主体必须从排版密度、间距、换行符、文本大小和负空间中显现 - 保持远处看去强烈的可读轮廓 - 近距离观察应揭示成千上万个微小的单词、短语、说明文字和文本片段 - 使用单色墨水、陈旧纸张、档案颗粒和复古打印纹理 - 除非提供,否则不得硬编码电影、引用、角色、物体、场景、文本或符号

Sources & attribution

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@Gdgtify
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Source model label
ChatGPT
Entry date
2026-07-31 · OpenNana entry creation date, not the original-post date
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