The Challenge of Text in AI Images

One of the biggest challenges in AI image generation has been rendering readable, accurate text. Most AI models struggle with:

Letter consistency: Characters often appear malformed or blurry
Spelling accuracy: Words are frequently misspelled
Non-Latin scripts: Chinese, Japanese, Arabic, and other scripts are especially problematic
Text placement: Text often floats inappropriately or clips edges

Z-Image Omni addresses these challenges with its native bilingual text rendering capability. In this guide, we'll show you how to get perfect text in your AI-generated images.

Why Z-Image Omni is Different

Z-Image Omni's Single-Stream DiT architecture processes text tokens alongside image tokens in a unified attention mechanism. This means the model doesn't just "draw" text — it understands text as a semantic element of the image.

Key advantages:

Native Chinese and English support: Both languages are first-class citizens in the model's training data
Contextual placement: The model understands where text should appear based on the scene (signs, labels, screens, etc.)
Style matching: Generated text adapts to the image's overall style (neon, handwritten, printed, etc.)

English Text Rendering

Basic Text Prompts

To include English text in your images, simply describe the text within quotes:

Prompt: A neon sign reading "OPEN 24/7" on a dark rainy street, cyberpunk style, photorealistic

Tips for English text:

Use quotes around the exact text you want rendered

Keep text short (1-5 words work best)

Describe the medium: "neon sign," "poster," "screen," "handwritten note"

Specify the font style if needed: "bold serif font," "cursive handwriting"

Common English Text Scenarios

Storefront Signs:
A cozy bookshop facade with a wooden sign reading "The Reading Room", warm autumn lighting, watercolor style

Product Labels:
A minimalist skincare bottle with elegant label reading "GLOW", white background, product photography

Screen Content:
A laptop screen showing code with the text "Hello World", developer workspace, soft lighting

Posters and Banners:
A retro travel poster reading "Visit Tokyo" with Mount Fuji in the background, vintage illustration style

Chinese Text Rendering

Z-Image Omni's bilingual capability is one of its standout features. Here's how to get the best Chinese text results.

Basic Chinese Text Prompts

Prompt: 一个霓虹灯招牌写着"深夜食堂"，雨夜的东京小巷，赛博朋克风格

Or in English with Chinese text:
A restaurant sign with Chinese characters "深夜食堂", narrow Tokyo alley at night, rain reflections, cinematic

Chinese Calligraphy

For traditional calligraphy styles:
Chinese calligraphy brush painting of the character "龙" (dragon), ink wash style on rice paper, traditional art

Mixed Chinese-English Text

Z-Image Omni handles bilingual text in the same image:
A modern café storefront with sign reading "Tea House 茶馆", minimalist design, morning light

Advanced Text Rendering Techniques

Controlling Text Size

Text size is influenced by how you describe the text container:

Large text: "giant billboard," "building-sized mural," "large banner"
Medium text: "sign," "poster," "screen"
Small text: "small label," "fine print," "tiny badge"

Controlling Text Style

Match text style to your image:

Neon: "glowing neon text," "neon light sign"
Handwritten: "handwritten note," "cursive writing"
Digital: "LED display," "digital screen text"
Engraved: "carved stone text," "embossed metal letters"
Vintage: "retro typography," "Art Deco lettering"

Multiple Text Elements

You can include multiple text elements:
A movie poster with title "ECLIPSE" at the top and tagline "The darkness is coming" at the bottom, sci-fi style, dramatic lighting

Text on Objects

Specify the surface for better results:
A coffee mug with text "Best Developer" printed on it, morning light, cozy home office background

Troubleshooting Common Issues

Text Appears Blurry

Solution: Use a higher resolution (2K or 4K with Seedream models)
Solution: Make text the focal point: "close-up of a sign reading..."
Solution: Use fewer words — shorter text renders more clearly

Wrong Characters

Solution: Double-check your prompt for typos
Solution: Keep Chinese text to 2-6 characters for best results
Solution: Use common, well-known phrases

Text in Wrong Location

Solution: Be explicit about placement: "text at the top," "centered text," "bottom-right corner"
Solution: Describe the physical medium: "text on the banner hanging above the door"

Text Style Doesn't Match

Solution: Explicitly describe the text style alongside the image style
Solution: Use reference styles: "text in the style of a vintage postcard"

Best Practices Summary

Use quotes around exact text you want rendered

Keep it short: 1-5 words English, 2-6 characters Chinese

Describe the medium: Sign, screen, poster, label

Specify style: Neon, handwritten, printed, carved

Use higher resolution for small or detailed text

Be explicit about placement when it matters

Test with Turbo first for quick iteration, then switch to Seedream for finals

Example Prompts Gallery

Here are proven prompts that consistently produce excellent text rendering:

English Examples:

A vintage movie theater marquee reading "NOW SHOWING", evening, warm lights, 1960s style

A motivational poster with bold text "NEVER GIVE UP" on a mountain landscape background

A minimalist logo design of the letter "A" made of geometric shapes, clean white background

Chinese Examples:

一幅水墨画，上面写着"山高水长"，传统中国画风格

一个现代咖啡店的招牌写着"慢时光"，温暖的下午阳光

中国新年海报，写着"恭喜发财"，红色和金色配色，喜庆风格

Bilingual Examples:

A modern tea shop logo reading "茶道 Tea Way", minimalist design, zen aesthetic

A bilingual welcome sign "欢迎 Welcome" at a hotel entrance, luxury interior

Conclusion

Text rendering in AI images has been a persistent challenge, but Z-Image Omni's bilingual capabilities make it practical and reliable. By following the techniques in this guide, you can consistently generate images with clear, accurate text in both Chinese and English.

The key is to be specific about what text you want, where it should appear, and what style it should take. Combined with Z-Image Omni's native text understanding, these prompts produce results that were impossible with earlier generations of AI models.

Start experimenting with text rendering at zimageomni.app/create.

How to Generate Perfect Text in AI Images (Chinese and English)