6 Core Techniques to Perfect Multilingual Text Rendering in GPT Image 2
This article outlines six essential prompt‑engineering tricks—using quotation marks, limiting text length, specifying exact position, describing font style, adding a quality statement, and iterative fixes—plus multilingual mixing tips and common error‑recovery methods for reliable Chinese, English, and Japanese text generation with GPT Image 2.
1. Enclose text in quotation marks
Enclose the exact text you want reproduced in double quotes. Without quotes the model may paraphrase (e.g., "欢迎您的到来"); with quotes it preserves the characters verbatim. For multiple lines, quote each segment separately, e.g., "夏日限定" on the top and "仅售 ¥28 | 6 月限定" at the bottom.
2. Control amount of text
More characters increase the error rate because attention is split across many words. Recommended limits:
Title ≤10 Chinese characters – very stable
Subtitle ≤20 Chinese characters – stable
Body block ≤50 Chinese characters – average
Number of text regions ≤4 – stability drops beyond this
If the text is too long, split generation, trim content, or use Thinking mode for large blocks such as menus or exam papers.
3. Precisely specify text position
Three description styles work:
Directional words, e.g., "顶部居中写标题\"春日限定\""
Proportional description, e.g., "画面上方 1/4 区域写标题"
Block description, e.g., "左侧 40% 为文字区域,右侧 60% 为产品图"
The most effective combination includes position, content, font style, and color in a single clause, e.g., "画面顶部居中,用白色粗体无衬线字体写\"AI 创作者之夜\"(字号大,约占画面宽度 60%);底部用小号白色细体字写\"2026.06.15 | 北京 | 免费报名\"。"
4. Specify font style
GPT Image 2 cannot load specific font files, but descriptive adjectives guide the visual style. Common Chinese descriptors:
毛笔草书 – 大气飘逸,国风感 – 活动海报、国风品牌
黑体粗体 – 醒目现代,冲击力 – 促销标题、科技品牌
宋体细体 – 优雅传统,书卷气 – 高端品牌、文化类
手写字体 – 随性亲切,文艺感 – 小红书风格、咖啡店
无衬线细体 – 现代简洁,极简感 – 极简主义设计
楷体 – 端庄文雅,正式感 – 教育类、正式场合
English descriptors (code tags): bold sans-serif, elegant serif, handwritten script, condensed display font, monospace code font.
Example: 顶部用毛笔草书写"山河万里",副标题用黑体粗体写"2026 中国旅行季",字体颜色:主标题白色,副标题金色。
5. Append a text‑quality statement
Adding a final clause that explicitly demands clear, error‑free text focuses the model’s attention on the textual part. Example statements:
文字清晰无错乱,排版工整,无多余随机文字。
所有文字清晰可读,中文字形正确,无错别字,无多余随机文字,排版层次分明。
Empirical tests show a 20‑30 % boost in text accuracy when this clause is included.
6. Iterative step‑by‑step fixes
If the first generation contains minor issues, edit only the problematic part instead of rewriting the whole prompt. Sample fix commands:
保持图片其他部分不变,只把标题文字"欢迎光临"改成"盛大开业"。
图中标题文字有一个错字,请将"春季限"改正为"春季限定"。
保持布局不变,将标题字体从手写风格改成粗体无衬线字体。
将底部的价格文字颜色从黑色改成红色,其他不变。
Recommended three‑stage rhythm:
Generate the base composition and verify the visual layout.
If the layout is correct, check text accuracy.
Apply localized edits rather than regenerating the entire image.
7. Multilingual mixing
When combining Chinese, English, and Japanese in one image, quote each language separately and assign appropriate font descriptors. Example:
海报顶部用中文毛笔草书写"武术会"(白色),底部用英文粗体无衬线字体写"MARTIAL ARTS TOURNAMENT 2026"(金色),右下角用日文细体写"参加者募集中"(白色)。
Place each language in distinct regions to avoid layout chaos. For English, preserve case and keep words under 15 letters to reduce misspelling.
8. Common failure scenarios and fixes
Incorrect character count – cause: missing quotes – fix: enclose text in quotes.
Blurry text – cause: too small or complex background – fix: add "文字清晰可读" and simplify background.
Random junk text – cause: model free‑wheeling – fix: add "无多余随机文字" constraint.
Chinese glyph deformation – cause: excessive length or poor font description – fix: reduce characters per block, change descriptor.
Layout chaos – cause: more than 4 text regions – fix: reduce region count, specify each location.
English spelling errors – cause: long or rare words – fix: quote the word or replace with a common short term.
Insufficient color contrast – cause: no contrast specified – fix: explicitly set text and background colors.
9. Real‑world cases
Case 1 – Event poster
9:16 竖版活动海报,渐变紫色背景(深紫→浅紫),顶部大标题用白色粗体无衬线字体写"AI 创作者之夜"(字号大,居中),副标题用白色细体写"用想象力改变世界",中间放光灯泡 3D 图标,底部信息栏(半透明深色横条)写"2026.06.15 | 北京 | 免费报名"。所有文字清晰无错乱,排版工整,无多余随机文字。
Case 2 – E‑commerce promotion
1:1 方形电商促销图,红色背景,顶部用金色粗体写"年中大促",下方副标题白色细体写"全场低至 5 折",中间展示蓝牙耳机,底部白色细体写"6 月 18 日 - 20 日 | 扫码抢购",右下角留二维码占位。文字清晰,信息层次分明。
Case 3 – Business card
横版名片,白色简约背景,左侧写姓名"张明远"(黑体大号),下方写职位"高级产品经理"(灰色细体),公司名"星辰科技有限公司"(黑色细体),右侧竖排联系方式:手机"138-0000-0000",邮箱"[email protected]",左上角留简约几何 logo 占位。所有文字清晰可读,排版精致。
Summary
Enclosing text in quotes is the single most effective step; without it the model improvises.
Limit text length: title ≤10 characters, total text regions ≤4.
Combine position, font, and color descriptors for precise layout.
End prompts with a quality statement to raise accuracy by up to 30 %.
When errors occur, use localized edit commands instead of full regeneration.
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I am James, focusing on AI Agent learning and growth. I continuously update two series: “AI Agent Mastery Path,” which systematically outlines core theories and practices of agents, and “Claude Code Design Philosophy,” which deeply analyzes the design thinking behind top AI tools. Helping you build a solid foundation in the AI era.
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