Product Front Label + Packaging: Multi-Line Chinese/English Text, Rendered Exactly
Ideogram 3.0 creates front labels and packaging for food and handmade goods, rendering the brand name in Chinese and English side by side plus precise fine print for volume and ingredients — built for Taiwanese small-business food and craft brands.
Front-facing product label design for [產品類型], packaging mockup on [容器類型]. 【文字（必須與引號內完全一致、不可更動）】 - Main brand name, large bold lettering: "[品牌主名]" - Subtitle line beneath it, smaller: "[副標英文]" - Bottom small print line: "[小字資訊]" 所有文字必須與引號內逐字一致 the text must be spelled exactly as written, do not alter or invent characters. 【視覺風格】[視覺風格], color palette [配色], clean professional packaging layout, clear text hierarchy with the brand name dominant, photorealistic product mockup, studio lighting, white background --ar 4:5 【為何用 Ideogram / GPT Image 而非 MJ】 這類『一個錯字就報廢』的標籤，要的是段落級文字精度——把每行文字用引號分開列、明講『與引號內完全一致』，模型才會逐字渲染而非自己編字。MJ v7 短文字常爛、長中文更不行；Ideogram / GPT Image 2 才是文字在圖上的正解。 【繁中直書菜單變體】 做攤車看板/直書菜單時，把『vertical Traditional Chinese text, top-to-bottom』加進視覺風格，並把品名逐項列在引號內。
Swap the variables inside the [ ] brackets for your own content, then paste into Ideogram 3.0.
No other tool needed — run this prompt right here and see the result (edit the text and swap the [variables] first if you like). History lives in My generations.
Use this for commercial cases where 'one wrong character ruins the whole batch' — front product labels, food packaging, menu signage. Three keys to making it work: (1) separate each line of text to be printed and wrap each one in quotation marks, so the model knows which parts are 'text to render'; (2) explicitly state 'must match exactly what's in the quotes, do not alter or invent anything,' forcing it to render character-by-character instead of improvising; (3) specify a text hierarchy (large brand name, small ingredient text) so it doesn't cram everything together. Honest caveats: Ideogram 3.0 is very accurate with short-to-medium English text, and more stable with Traditional Chinese than most models — but long ingredient lists can still get one or two characters wrong. The fix is to proofread character-by-character after generation, and if something's wrong, tell it to 'fix only this line, leave everything else unchanged,' which usually resolves it in one or two passes. For ingredient-list-length Traditional Chinese text, GPT Image 2's paragraph text tends to be even more stable than Ideogram's — try both and pick the better result. Leave the background plain to make it easier to cut out and composite later.
[產品類型]要做標籤的產品。例：a jar of handmade strawberry jam / a bag of single-origin coffee beans / a bottle of cold brew tea
[容器類型]包裝載體，影響 mockup 外型。例：a glass jar / a kraft paper pouch / a frosted glass bottle
[品牌主名]標籤上最大的品牌名（引號內逐字渲染）。例：青田手作 GREENFIELD / 日初咖啡 SUNRISE COFFEE
[副標英文]品牌名下方的小副標。例：Handmade Since 2020 / Single Origin · Medium Roast
[小字資訊]底部小字（容量/成分/淨重）。例：淨重 250g · 純天然無添加 / Net 350ml · Cold Brewed
填下面的欄位，上方 prompt 會即時替換 [方括號] 內容。填好後按「複製組好的 prompt」直接丟進工具。
Front-facing product label design for [產品類型], packaging mockup on [容器類型]. 【文字（必須與引號內完全一致、不可更動）】 - Main brand name, large bold lettering: "[品牌主名]" - Subtitle line beneath it, smaller: "[副標英文]" - Bottom small print line: "[小字資訊]" 所有文字必須與引號內逐字一致 the text must be spelled exactly as written, do not alter or invent characters. 【視覺風格】[視覺風格], color palette [配色], clean professional packaging layout, clear text hierarchy with the brand name dominant, photorealistic product mockup, studio lighting, white background --ar 4:5 【為何用 Ideogram / GPT Image 而非 MJ】 這類『一個錯字就報廢』的標籤，要的是段落級文字精度——把每行文字用引號分開列、明講『與引號內完全一致』，模型才會逐字渲染而非自己編字。MJ v7 短文字常爛、長中文更不行；Ideogram / GPT Image 2 才是文字在圖上的正解。 【繁中直書菜單變體】 做攤車看板/直書菜單時，把『vertical Traditional Chinese text, top-to-bottom』加進視覺風格，並把品名逐項列在引號內。
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