{"id":2253,"date":"2026-05-14T09:00:00","date_gmt":"2026-05-14T09:00:00","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=2253"},"modified":"2026-04-03T11:09:32","modified_gmt":"2026-04-03T11:09:32","slug":"glm-image-text-rendering-in-6-prompt-tests","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/glm-image-text-rendering-in-6-prompt-tests\/","title":{"rendered":"GLM-Image: Text Rendering in 6 Prompt Tests"},"content":{"rendered":"<p>GLM-Image targets a hard problem in image generation: clean layouts with readable text. This review runs six real prompts that force titles, labels, prices, UI strings, and dense tables into one frame.<\/p>\n<h2>What GLM-Image does<\/h2>\n<p>GLM-Image is a text-to-image and image-to-image model built for high-fidelity visuals and information-dense designs. It targets posters, infographics, slides, menus, and any scene where text needs to stay legible.<\/p>\n<p>Model page: <a href=\"https:\/\/wiro.ai\/models\/zai-org\/glm-image\">https:\/\/wiro.ai\/models\/zai-org\/glm-image<\/a><\/p>\n<p>Test setup: 6 prompts, 1024&#215;1024 output, 30 inference steps, guidance scale 1.5. Each prompt includes exact strings to render.<\/p>\n<h2>6 prompt tests<\/h2>\n<h3>1) Streetwear poster (headline + sizes)<\/h3>\n<p>This prompt checks big display type and a short spec line. The headline stays crisp. The sizes line stays readable, but spacing turns a bit weird.<\/p>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/glm-image-02.png\" alt=\"Minimal streetwear poster with a hoodie and the headline GLM-IMAGE TEXT TEST\" \/><figcaption>Prompt: Minimalist streetwear poster, white background, green accent, centered hoodie product photo. Add crisp typography. Top line text: GLM-IMAGE TEXT TEST. Subhead: DROP 04. Footer small text: SIZES XS S M L XL. Print-ready, clean grid, high contrast, realistic fabric texture.<\/figcaption><\/figure>\n<h3>2) Heat pump infographic (labels + arrows)<\/h3>\n<p>Infographics show where most models crack. GLM-Image keeps the diagram clean and the component labels readable. One letter slips in the title. Heat becomes Heal.<\/p>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/glm-image-01.png\" alt=\"Heat pump infographic with labeled parts and arrows\" \/><figcaption>Prompt: Educational infographic on off-white paper texture. Topic: How a Heat Pump Moves Heat. Include a simple diagram with arrows and 5 labeled callouts: Evaporator, Compressor, Condenser, Expansion Valve, Indoor Air. Add a small legend box titled KEY. Flat vector style, sharp lines, readable labels.<\/figcaption><\/figure>\n<h3>3) Chalkboard cafe menu (items + prices)<\/h3>\n<p>Price lists often drift into gibberish. Here the model keeps every item and price intact. The handwriting look stays legible.<\/p>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/glm-image-03.png\" alt=\"Chalkboard menu that reads WEEKDAY MENU with items and prices\" \/><figcaption>Prompt: Chalkboard cafe menu photo, realistic lighting, handwritten chalk style but legible. Header text: WEEKDAY MENU. Items list with prices: Espresso 3.50, Latte 4.25, Matcha 4.75, Bagel 2.95, Cookie 1.80. Add small note: Oat milk +0.50.<\/figcaption><\/figure>\n<h3>4) Three-panel comic (short captions + speech bubbles)<\/h3>\n<p>Speech bubbles act like a stress test for punctuation and line breaks. The bubble text lands clean. The third caption comes out as DAY 3\/ with a stray slash.<\/p>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/glm-image-04.png\" alt=\"Three-panel comic strip with day labels and speech bubbles\" \/><figcaption>Prompt: Three-panel comic strip, clean ink lines, soft colors. Panel 1 caption text: DAY 1. Speech bubble: Can this model write text? Panel 2 caption: DAY 2. Speech bubble: Yes, but keep prompts structured. Panel 3 caption: DAY 3. Speech bubble: Now try a long menu. Consistent character, simple background.<\/figcaption><\/figure>\n<h3>5) Airport departures board (dense table + status)<\/h3>\n<p>This prompt pushes alignment, repeated tokens, and table structure. The board looks believable. Column headers read correctly. The red DELAYED stands out. A few times show minor spacing quirks around the colon.<\/p>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/glm-image-05.png\" alt=\"Airport departures board with rows of flights and a delayed status\" \/><figcaption>Prompt: Airport departures board, wide shot, realistic LED matrix. Title text: DEPARTURES. Include 8 rows with columns FLIGHT, TO, GATE, TIME, STATUS. Fill with plausible entries, include at least one delayed row that says DELAYED. Keep text aligned and readable.<\/figcaption><\/figure>\n<h3>6) Dark mode app settings UI (small text + numbers)<\/h3>\n<p>UI text needs crisp edges. GLM-Image renders the screen cleanly, including the timer values and version string.<\/p>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/04\/glm-image-06.png\" alt=\"Dark mode Focus Timer settings screen with toggles and timer values\" \/><figcaption>Prompt: Photorealistic smartphone settings screen screenshot on dark mode. App name at top: Focus Timer. Menu items with toggles: Vibration, Sound, Auto start, Break length 05:00, Session length 25:00. Small footer text: Version 2.6.1. Crisp UI, anti-aliased text.<\/figcaption><\/figure>\n<h2>What worked (and what slipped)<\/h2>\n<ul>\n<li>Short lists with prices work well. The menu stays accurate and readable.<\/li>\n<li>Medium-length labels work well. Diagram parts read cleanly.<\/li>\n<li>Very long or prominent titles can drop a character. Heat became Heal once.<\/li>\n<li>Dense tables hold together, but spacing can wobble on small tokens like times.<\/li>\n<\/ul>\n<h2>Prompt tips for cleaner text<\/h2>\n<ul>\n<li>Keep titles short. Put the must-be-correct text early in the prompt.<\/li>\n<li>Use lists with one item per line: item name + price. Avoid long sentences inside the design.<\/li>\n<li>Limit the number of unique numbers in one frame. Tables stay cleaner with fewer rows.<\/li>\n<li>When exact spelling matters, repeat the key string once. Do not repeat it five times.<\/li>\n<\/ul>\n<h2>Try GLM-Image<\/h2>\n<p>Run the same text-heavy prompts and see where it holds up: <a href=\"https:\/\/wiro.ai\/models\/zai-org\/glm-image\">https:\/\/wiro.ai\/models\/zai-org\/glm-image<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>GLM-Image targets a hard problem in image generation: clean layouts with readable text. This review runs six real prompts that force titles,&hellip;<\/p>\n","protected":false},"author":4,"featured_media":2252,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[52],"tags":[60,194,81],"class_list":["post-2253","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-reviews","tag-image-to-image","tag-text-rendering","tag-text-to-image"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2253","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/comments?post=2253"}],"version-history":[{"count":2,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2253\/revisions"}],"predecessor-version":[{"id":2255,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2253\/revisions\/2255"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/2252"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=2253"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=2253"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=2253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}