Hi, I'm Dora! Before we dive in, just a quick note: AI tools evolve incredibly fast. The features described here are accurate as of January 2026.
Now, let's be honest. If you've tried using AI image tools for posters, you’ve probably hit the exact same wall I did: absolutely gorgeous visuals ruined by completely mangled text. It's frustrating, right?
That’s why I’m excited about GLM-Image. It is one of the first models where I've finally been able to get consistently readable English and Chinese typography—provided the prompt is structured correctly. In this guide, I'll share the exact GLM-Image poster prompts and patterns I use for business ads, PPT covers, infographics, timelines, and multi-panel layouts so you can go from "random chaos" to "client-ready" without endless retries.
Core Principles: Mastering GLM-Image Poster Prompts for Professional Results
Before we jump into templates, let me quickly deconstruct what actually matters when you're prompting GLM-Image for posters.
1. Separate content, layout, and style
When I stopped cramming everything into one messy sentence, my results improved overnight. I structure prompts in three layers:
- Content: what the poster says and shows
- Layout: how text and visuals are arranged
- Style: photographic vs. flat design, color, lighting, vibe
Think of it like briefing a human designer: concept first, then grid, then art direction.
2. Use explicit text regions
I've noticed GLM-Image respects clear region cues such as:
- "big title text:" for the hero heading
- "subtitle text:" for supporting copy
- "small label text:" or "table cells text:" for infographics
This is the detail that changes the outcome: when you label text roles, the model is far less likely to turn words into random shapes.
3. Design for readability, not just aesthetics
For marketing and presentation work, I bias prompts toward:
- Clean backgrounds (solid or soft gradient)
- High contrast between text and background
- Simple font descriptions: "bold sans-serif", "modern Chinese font", "thin serif"
This is the detail that changes the outcome: when you label text roles, the model is far less likely to turn words into random shapes. For more advanced techniques on achieving perfect text rendering, the community has developed detailed best practices.
Where GLM-Image poster prompts fail (and who this is NOT for)
If you need:
- Pixel-perfect brand fonts
- Vector logos with editable paths
- Extremely dense legal copy in tiny type
GLM-Image isn't a replacement for Illustrator, Figma, or PowerPoint. I treat it as a concept generator and production shortcut, then refine final assets in traditional design tools.
For most indie creators and marketers though, it's more than good enough to ship campaigns, decks, and social content at speed.
Visual Evidence: How Precise Prompts Fix Text Rendering Issues
I tested GLM-Image on a simple A/B scenario: same idea, different prompt discipline.
Test A – Vague prompt
Prompt: modern startup poster with the headline: Grow Faster Now
Result: Great colors, dynamic layout, but the text looked like half-English, half-noise. The model clearly understood "poster" and "startup", but not where or how to place the words.
Test B – Structured prompt
Prompt:
minimal vertical startup poster, clean white background, centered layout,
BIG TITLE TEXT: "Grow Faster Now",
SUBTITLE TEXT: "AI automation for lean teams",
small footer text: "www.acme.ai",
bold sans-serif typography, high contrast, sharp print-ready designResult: The title was correctly spelled, centered, and legible. Subtitle and footer weren't perfect every time, but the success rate jumped noticeably.
This mirrors what you'll find in diffusion-model literature and GLM-Image official documentation: structured, role-based prompts give the model a clearer semantic map. Instead of guessing where to put text, it follows the hierarchy you describe.
When you see warped text, don't immediately blame the model. First, tighten your prompt structure and simplify style demands. Then iterate with 2–3 small changes at a time. If you're exploring other AI image generators, Seedream 4.5's text rendering capabilities offer an interesting comparison point.
The GLM-Image Prompt Blueprint: Your Ultimate AI Poster Generator with Text Templates
Below are the exact GLM-Image poster prompts I reach for when I'm on a deadline. Tweak colors, brand names, and copy, but try to keep the overall structure.
Ready to start creating? Let's open z-image.ai in a new tab to test these prompts instantly—it’s the fastest way to turn these blueprints into results.
Business Poster Prompts: Creating High-Converting Marketing Assets
Use this when you need a quick ad for a product launch or campaign.
vertical business marketing poster, clean minimal layout,
BIG TITLE TEXT: "{Your Offer in 3–5 words}",
SUBTITLE TEXT: "{One-sentence benefit}",
BODY TEXT: "{Short bullet list or value props}",
CALL TO ACTION TEXT: "{CTA, e.g. Start Free Trial}",
product mockup on the right, text on the left,
soft gradient background in {brand colors},
bold sans-serif typography, highly readable, print-quality, 4k resolutionFor event promos:
modern conference poster, centered composition,
BIG TITLE TEXT: "{Event Name}",
DATE TEXT: "{Day, Month, Year}",
LOCATION TEXT: "{Venue or Online}",
SPEAKER TEXT: "Featuring: {Speaker Names}",
subtle tech pattern background, blue and purple color scheme,
sharp clean typography, no distortion, poster designPPT Prompts: Designing Professional Presentation Covers Instantly
For slide decks, I lean on simple, strong covers.
professional presentation cover slide,
BIG TITLE TEXT: "{Presentation Title}",
SUBTITLE TEXT: "{Tagline or department}",
FOOTER TEXT: "{Company Name} | {Quarter, Year}",
clean layout with left-aligned text, abstract geometric shapes on the right,
light background, corporate blue accent, flat design, ppt cover styleFor darker, keynote-style covers:
sleek keynote-style slide cover,
BIG TITLE TEXT: "{Big Idea}",
SUBTITLE TEXT: "{Short supporting phrase}",
minimal footer text: "{Name, Role}",
dark gradient background, dramatic lighting, subtle glow behind the title,
modern sans-serif typography, cinematic yet readableInfographic Prompt Strategy: Generating Clean Pricing Tables
Tables are tricky, but GLM-Image can approximate simple pricing layouts well enough for quick mockups.
horizontal SaaS pricing table poster,
TITLE TEXT: "Pricing Plans",
three columns with headings:
COLUMN 1 HEADER TEXT: "Basic",
COLUMN 2 HEADER TEXT: "Pro",
COLUMN 3 HEADER TEXT: "Enterprise",
rows of small label text for features and prices,
clean grid layout, white background, thin gray lines,
blue highlight on Pro column, UI-style flat design, highly readable text
If you need a simple comparison chart:
minimal comparison infographic,
TITLE TEXT: "Before vs After",
left column text: "Before AI" with 3 bullet points,
right column text: "After AI" with 3 bullet points,
solid light background, high contrast typography, very clear labelsTimeline & Roadmap Visualization: Accurate Text Rendering
For roadmaps, I reduce the number of steps and keep labels short.
horizontal project roadmap poster,
TITLE TEXT: "2025 Product Roadmap",
4 milestone boxes left to right,
MILESTONE 1 TEXT: "Q1: Research",
MILESTONE 2 TEXT: "Q2: Beta",
MILESTONE 3 TEXT: "Q3: Launch",
MILESTONE 4 TEXT: "Q4: Scale",
clean icons above each milestone, soft pastel background,
thin connecting line, modern UI style, very legible text
For vertical timelines (great for social):
vertical timeline infographic,
TITLE TEXT: "Startup Journey",
5 timeline steps with year labels,
small clear text labels next to each dot,
light background, one accent color, minimalist infographic styleMulti-Panel Layouts: Complex Composition for Social Media
Multi-panel grids let you produce carousels and split-story posts directly from GLM-Image.
3-panel social media carousel layout, same image,
PANEL 1 TITLE TEXT: "Problem",
PANEL 2 TITLE TEXT: "Insight",
PANEL 3 TITLE TEXT: "Solution",
large bold titles, small supporting text under each,
clean white background, subtle dividing lines,
flat vector illustration style, high contrast typographyFor a portfolio or case study layout:
4-panel case study poster,
PANEL 1 TEXT: "Client",
PANEL 2 TEXT: "Challenge",
PANEL 3 TEXT: "Solution",
PANEL 4 TEXT: "Results",
balanced grid, generous white space, soft neutral colors,
modern sans-serif fonts, presentation-ready designIf you want to go deeper on structured prompting with GLM-Image, it's worth exploring the GLM-Image model on Hugging Face and checking out the official GLM-Image guide.
Bilingual Poster AI Techniques: Perfecting Chinese & English Typography
GLM-Image handles bilingual Chinese–English posters surprisingly well when I:
- Keep each language's text short and clear
- Separate languages by region (e.g., title in English, subtitle in Chinese)
- Describe the typeface in both language contexts
Example prompt:
bilingual startup event poster,
BIG TITLE TEXT (English): "AI Demo Day",
SUBTITLE TEXT (Chinese): "人工智能新品发布会",
DATE TEXT: "2025.06.12",
LOCATION TEXT: "Shanghai",
clean layout, English title on top, Chinese subtitle below,
modern sans-serif English font, modern Chinese font, high readability,
soft gradient background, tech style poster
For product flyers:
bilingual product poster,
ENGLISH TITLE TEXT: "Smart Home Hub",
CHINESE TITLE TEXT: "智能家居中枢",
short English bullet text on the left,
short Chinese bullet text on the right,
white background, neat grid, clear fonts for both languagesEthical considerations when generating poster content
Because posters are highly visible, I treat ethics as part of the workflow, not an afterthought:
1. Transparency – When a poster has been generated or heavily assisted by GLM-Image, I label it somewhere in the project notes or credits as "AI-assisted visual concept". For internal decks this might be a footnote: for public campaigns, a brief mention in the production notes is usually enough.
2. Bias mitigation – I consciously vary demographics, body types, and cultural references in prompts (e.g., "diverse team of professionals" instead of a single default persona). If I notice stereotypical patterns in outputs, I revise the prompt and, if needed, replace characters with neutral icons or abstract visuals.
3. Copyright & ownership (2025 best practices) – I avoid mentioning living artists, copyrighted characters, or brand names I don't own in my prompts. Final posters go through a human review step, and any GLM-Image output I use commercially is treated like stock photography: I'm responsible for checking for conflicts and adding original design work on top, not just exporting raw generations.
Platform Availability: Accessing GLM-Image via Official Demo & z-image.ai
You don't need a complex local setup to start using these poster prompts.
- Official GLM-Image demo: Great for quick tests and experimenting with prompt structures before you commit to a workflow. You'll find links and docs via the Zhipu AI ecosystem and the GLM-Image GitHub repository.
- z-image.ai: If you prefer a higher-level UI focused on creators, z-image.ai makes it easier to save presets and batch-generate poster variations with consistent styles.
My typical routine is: rough ideas in the official demo, then production runs and A/B variations in z-image.ai where I can keep things organized.
Did I miss a GLM-Image poster prompt you swear by? Share it below so other creators can steal it (with love).
Frequently Asked Questions about GLM-Image Poster Prompts
What are GLM-Image poster prompts and why do they matter for text-heavy designs?
GLM-Image poster prompts are structured instructions that tell the model what to write, how to arrange elements, and what visual style to use. By clearly separating content, layout, and style, you dramatically improve legibility and hierarchy, making GLM-Image suitable for client-ready posters, slides, and infographics.
How should I structure GLM-Image poster prompts to get clean, readable text?
Use role-based text labels and a simple layout description. For example: BIG TITLE TEXT, SUBTITLE TEXT, BODY TEXT, FOOTER TEXT, or COLUMN HEADER TEXT. Pair this with a clear layout cue like "text on the left, product mockup on the right" and a clean style description—minimal backgrounds, high contrast, and simple fonts.
Can GLM-Image generate professional business posters and PPT covers from prompts?
Yes. GLM-Image works well as a fast concept generator for vertical business posters, event promos, pricing tables, timelines, and PPT covers. Use the provided templates—such as vertical business marketing poster or professional presentation cover slide—and then polish fonts, logos, and precise branding later in tools like Figma, Illustrator, or PowerPoint.
How do I create bilingual Chinese–English posters with GLM-Image poster prompts?
Keep each language short, assign clear regions, and describe fonts for both. For example, use BIG TITLE TEXT (English) and SUBTITLE TEXT (Chinese), specify where each appears, and mention "modern sans-serif English font, modern Chinese font." This helps GLM-Image render both scripts more consistently and keeps the layout clean.
What are some best practices and limits when using GLM-Image for commercial poster work?
Treat GLM-Image outputs like stock concepts: avoid prompting with protected characters, brands, or living artists; add original design work before publishing; and include a light "AI-assisted" disclosure where appropriate. Also, don't expect pixel-perfect brand fonts, vector logos, or dense legal copy—use GLM-Image for fast ideation, then refine in traditional design software.
