{"id":1399,"date":"2026-03-10T06:13:44","date_gmt":"2026-03-10T06:13:44","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=1399"},"modified":"2026-02-28T06:31:11","modified_gmt":"2026-02-28T06:31:11","slug":"longcat-image-multilingual-text-rendering-in-6-tests","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/longcat-image-multilingual-text-rendering-in-6-tests\/","title":{"rendered":"LongCat-Image: Multilingual Text Rendering in 6 Tests"},"content":{"rendered":"<h2>LongCat-Image: multilingual text rendering in 6 tests<\/h2>\n<p>LongCat-Image targets a tricky combo: photoreal images plus readable text in multiple languages. This review runs six prompts that stress posters, labels, neon signs, diagrams, embroidered patches, and tiny engraving.<\/p>\n<h2>Model link<\/h2>\n<ul>\n<li><a href=\"https:\/\/wiro.ai\/models\/meituan-longcat\/longcat-image\">https:\/\/wiro.ai\/models\/meituan-longcat\/longcat-image<\/a><\/li>\n<\/ul>\n<h2>Test settings<\/h2>\n<table>\n<thead>\n<tr>\n<th>Setting<\/th>\n<th>Value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Aspect ratio<\/td>\n<td>1:1 (1024&#215;1024)<\/td>\n<\/tr>\n<tr>\n<td>Steps<\/td>\n<td>28<\/td>\n<\/tr>\n<tr>\n<td>Guidance scale<\/td>\n<td>4.5<\/td>\n<\/tr>\n<tr>\n<td>Samples<\/td>\n<td>1 per prompt<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Results<\/h2>\n<h3>Test 1: clean poster layout (English + Chinese)<\/h3>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/longcat-image-01.png\" alt=\"Minimalist poster with WIRO API and Chinese text\"\/><figcaption>Prompt: Minimalist poster on white background, Swiss grid layout, clean typography. Main headline text &#8220;WIRO API&#8221; and small subtitle text &#8220;Build fast&#8221;. Add a small Chinese line &#8220;\u4f60\u597d\u4e16\u754c&#8221;. Print texture.<\/figcaption><\/figure>\n<p>The layout stays controlled. The big headline looks close to real type. Small text remains the first thing to blur or drift.<\/p>\n<h3>Test 2: product label on glass (short word)<\/h3>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/longcat-image-02.png\" alt=\"Perfume bottle on black slate with label text AURA\"\/><figcaption>Prompt: Studio product photo of a transparent glass perfume bottle on black slate. Label text &#8220;AURA&#8221; in a clean serif font. Dramatic spotlights, realistic caustics, shallow depth of field.<\/figcaption><\/figure>\n<p>Short label text tends to work better than sentences. This test also shows whether glass turns into plastic under harsh highlights.<\/p>\n<h3>Test 3: neon sign in a busy scene<\/h3>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/longcat-image-03.png\" alt=\"Rainy futuristic night market with a neon sign that says MERHABA\"\/><figcaption>Prompt: Rainy futuristic night market, neon reflections, people with umbrellas, cinematic lighting. One clear neon sign says &#8220;MERHABA&#8221;.<\/figcaption><\/figure>\n<p>Busy scenes usually break first. A good run keeps depth and readable silhouettes without turning faces into noise.<\/p>\n<h3>Test 4: diagram style with labels<\/h3>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/longcat-image-04.png\" alt=\"Isometric diagram of an API gateway with labels GPU API DB\"\/><figcaption>Prompt: Isometric technical illustration on white background. An API gateway connected to GPU servers and a database. Add simple labels &#8220;GPU&#8221;, &#8220;API&#8221;, &#8220;DB&#8221;. Sharp vector lines.<\/figcaption><\/figure>\n<p>Vector style works when lines stay clean. Exact label text still needs a quick edit pass in many cases.<\/p>\n<h3>Test 5: embroidered patch (texture + text)<\/h3>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/longcat-image-05.png\" alt=\"Portrait of a person with a jacket patch reading LONGCAT\"\/><figcaption>Prompt: Ultra realistic portrait photo, 85mm lens look, soft rim light. A person wearing a black jacket with an embroidered patch that reads &#8220;LONGCAT&#8221;. Neutral background, detailed skin texture.<\/figcaption><\/figure>\n<p>Embroidery pushes the model to keep both texture and letters. This prompt also exposes common face issues like waxy skin and misaligned eyes.<\/p>\n<h3>Test 6: tiny engraving on glass (hard)<\/h3>\n<figure>\n  <img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/longcat-image-06.png\" alt=\"Glass chess set with engraved text on the king piece\"\/><figcaption>Prompt: Transparent glass chess set on a reflective black table. Dramatic spotlights, realistic refraction. Tiny engraving text &#8220;FLUX&#8221; on the king piece.<\/figcaption><\/figure>\n<p>Tiny text stays hard for most models. Even when the lighting looks right, the letters often melt into the material.<\/p>\n<h2>What it does well<\/h2>\n<ul>\n<li>Handles short text better than typical diffusion baselines.<\/li>\n<li>Keeps a clean look at 1024&#215;1024 without heavy artifacts.<\/li>\n<li>Scene lighting stays stable across very different prompts.<\/li>\n<\/ul>\n<h2>What still needs work<\/h2>\n<ul>\n<li>Small text and labels still drift.<\/li>\n<li>Ultra tiny engraving remains unreliable.<\/li>\n<li>Some prompts can over-smooth fine texture.<\/li>\n<\/ul>\n<h2>Try it<\/h2>\n<ul>\n<li><a href=\"https:\/\/wiro.ai\/models\/meituan-longcat\/longcat-image\">LongCat-Image on Wiro<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>LongCat-Image: multilingual text rendering in 6 tests LongCat-Image targets a tricky combo: photoreal images plus readable text in multiple languages. This review&hellip;<\/p>\n","protected":false},"author":4,"featured_media":1398,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[52],"tags":[122,123,81],"class_list":["post-1399","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-reviews","tag-longcat","tag-meituan","tag-text-to-image"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1399","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=1399"}],"version-history":[{"count":1,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1399\/revisions"}],"predecessor-version":[{"id":1400,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1399\/revisions\/1400"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/1398"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=1399"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=1399"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=1399"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}