{"id":2014,"date":"2026-04-29T19:46:03","date_gmt":"2026-04-29T19:46:03","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=2014"},"modified":"2026-09-27T18:40:26","modified_gmt":"2026-09-27T18:40:26","slug":"kolors-text-to-image-6-prompt-tests-1024px","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/kolors-text-to-image-6-prompt-tests-1024px\/","title":{"rendered":"Kolors Text-to-Image: 6 Prompt Tests (1024px)"},"content":{"rendered":"<p><strong>Kolors text-to-image<\/strong> was tested at 1024&#215;1024 with six prompts chosen to expose different failure modes: small bilingual lettering, signage inside a crowded night scene, a backlit portrait, large-scale worldbuilding, a controlled product shot, and a poster with oversized type. The point was not to make six attractive images. It was to see where a single prompt holds together and where it needs a second pass or a different tool.<\/p>\n<p>All six images below are the original Kolors outputs already hosted on this blog. The test used the same settings for every image: 1024&#215;1024, 30 steps, guidance scale 3.5, one sample, and the negative prompt &#8220;bad, blurry, watermark.&#8221; The <a href=\"https:\/\/wiro.ai\/models\/wiro\/kolors-txt2img\">Kolors model page on Wiro<\/a> is the place to run the model. The available model documentation did not expose a reliable per-image runtime or price for this historical test, so neither figure is guessed here. Treat these as visual results, not a speed or cost benchmark.<\/p>\n<h2>Contents<\/h2>\n<ul>\n<li><a href=\"#setup\">Test setup<\/a><\/li>\n<li><a href=\"#results\">What the six Kolors text-to-image outputs show<\/a><\/li>\n<li><a href=\"#when-to-pick-kolors\">When to pick Kolors<\/a><\/li>\n<\/ul>\n<h2 id=\"setup\">Test setup and what it can prove<\/h2>\n<p>Thirty steps and a low-to-mid guidance value are a practical baseline for a diffusion image test. They make the comparison consistent, but they do not prove that every image is the best possible Kolors result. A different seed, more steps, or a more explicit composition instruction could improve an individual output. The shared settings make the patterns more useful: each prompt asks for a different kind of control while the rendering budget stays fixed.<\/p>\n<p>Kolors is a latent-diffusion text-to-image model from the Kuaishou Kolors team. Its <a href=\"https:\/\/huggingface.co\/Kwai-Kolors\/Kolors\" target=\"_blank\" rel=\"noopener\">Hugging Face model card<\/a> describes Chinese and English prompt support, visual quality, semantic accuracy, and text rendering as core goals. The <a href=\"https:\/\/github.com\/Kwai-Kolors\/Kolors\" target=\"_blank\" rel=\"noopener\">official GitHub repository<\/a> also documents the open project and its related controls. Those claims make text and bilingual signage fair things to test, but an output still needs to earn the claim on the page.<\/p>\n<h2 id=\"results\">Six Kolors text-to-image outputs, inspected<\/h2>\n<h3>1. Chinese lettering in a macro scene<\/h3>\n<figure>\n<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" class=\"wp-image-2007\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-1.png\" alt=\"Kolors text-to-image output of a ladybug holding a sign with Chinese characters\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-1.png 1024w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-1-510x510.webp 510w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-1-900x900.webp 900w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-1-150x150.webp 150w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-1-768x768.webp 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>Prompt: Macro photo of a ladybug holding a small sign with the Chinese characters \u53ef\u56fe. Ultra-detailed. Shallow depth of field. Natural light.<\/figcaption><\/figure>\n<p>The first output gives the ladybug a convincing wet, textured shell and separates it cleanly from the soft green background. The small sign is readable as Chinese-style text at a glance, but it does not reproduce the requested two characters exactly. It appears to contain three large glyphs, including a middle character that differs from the prompt. That distinction matters. Kolors handles the idea of a labeled sign and the photographic scene well; it is not dependable for exact short copy at this size. Use it for a concept image with decorative multilingual text, then add production copy separately.<\/p>\n<h3>2. Rain, neon, and a word inside the scene<\/h3>\n<figure>\n<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" class=\"wp-image-2008\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-2.png\" alt=\"Kolors output of a rainy cyberpunk street with neon signs\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-2.png 1024w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-2-510x510.webp 510w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-2-900x900.webp 900w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-2-150x150.webp 150w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-2-768x768.webp 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>Prompt: Cinematic cyberpunk street at night in the rain. Neon sign reads WIRO in bold letters. Reflections on wet pavement. High detail.<\/figcaption><\/figure>\n<p>This is the strongest atmosphere test. The street has deep perspective, wet pavement reflections, dense shopfronts, and a coherent cyan-magenta lighting scheme. It does not deliver a clear, exact &#8220;WIRO&#8221; sign. Several signs use plausible-looking Chinese or pseudo-lettered forms, which makes the scene feel busy and lived-in but fails the branding instruction. Pick Kolors for mood boards, music art, and fiction environments. Do not approve the result as a branded campaign visual without checking every sign.<\/p>\n<h3>3. Portrait under a golden sunset<\/h3>\n<figure>\n<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" class=\"wp-image-2009\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-3.png\" alt=\"Kolors output of a woman in a red dress on a rooftop at sunset\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-3.png 1024w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-3-510x510.webp 510w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-3-900x900.webp 900w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-3-150x150.webp 150w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-3-768x768.webp 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>Prompt: A woman with long black hair, wearing a red dress, stands on a rooftop, gazing at the golden sunset. City skyline in the background. Cinematic lighting. Realistic.<\/figcaption><\/figure>\n<p>The output follows the main request closely: long dark hair, red dress, rooftop, city, and low warm sun all appear. The subject faces away, so the model avoids the harder demand of a close, identifiable face. Hair strands, dress folds, the rooftop edge, and the hazy skyline work together without obvious anatomy issues. This makes Kolors a sensible option for editorial-style portraits where pose and light matter more than facial identity. For a front-facing commercial portrait, test several seeds and inspect hands, eyes, and fabric edges at full size.<\/p>\n<h3>4. Sci-fi scale without the requested rings<\/h3>\n<figure>\n<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" class=\"wp-image-2010\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-4.png\" alt=\"Kolors output of floating cities below a giant blue planet\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-4.png 1024w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-4-510x510.webp 510w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-4-900x900.webp 900w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-4-150x150.webp 150w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-4-768x768.webp 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>Prompt: A colossal gas giant with swirling orange and blue storms dominates the sky, surrounded by a massive ring system. Floating cities hover above the clouds. Epic scale. Ultra-HD.<\/figcaption><\/figure>\n<p>The image sells scale through a huge blue planet, layered clouds, and several hovering cities. Tall towers and platforms create a readable foreground-to-background stack. Yet the requested orange-and-blue storm surface and massive ring system are absent. The model kept the broad science-fiction brief but dropped the two most specific astronomical details. That is a useful warning for art direction: lead with the non-negotiable object, repeat it once in plain language, and remove spare adjectives if the exact feature matters.<\/p>\n<h3>5. A product-style food image with extra props<\/h3>\n<figure>\n<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" class=\"wp-image-2011\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-5.png\" alt=\"Kolors text-to-image output of a Japanese bento box on a white table\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-5.png 1024w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-5-510x510.webp 510w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-5-900x900.webp 900w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-5-150x150.webp 150w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-5-768x768.webp 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>Prompt: Studio product photo of a Japanese bento box on a clean white table. Chopsticks beside it. Soft shadows. High detail. 85mm lens.<\/figcaption><\/figure>\n<p>The bento test is unusually clean. The box, white surface, directional soft shadows, and food textures read as a deliberate top-down food photograph. The output adds a second pair of chopsticks and fills the compartments with a wider variety of food than the prompt specifies. That is not a serious problem for a generic food illustration, but it is a problem if a menu, SKU, or exact prop count matters. Pick Kolors for appetizing concept shots and use retouching or an editing workflow for catalog accuracy.<\/p>\n<h3>6. Poster composition and display type<\/h3>\n<figure>\n<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" class=\"wp-image-2012\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-6.png\" alt=\"Kolors output of a retro poster with distorted KOLORS lettering\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-6.png 1024w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-6-510x510.webp 510w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-6-900x900.webp 900w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-6-150x150.webp 150w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/03\/kolors-6-768x768.webp 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>Prompt: Minimalist poster design. Big title text: KOLORS. Small subtitle text: TEXT TO IMAGE. Clean layout, high contrast, subtle grain.<\/figcaption><\/figure>\n<p>The poster has a strong retro palette, a clear central road, palms, and a large display-word treatment. The intended word &#8220;KOLORS&#8221; is visibly distorted and the requested subtitle is missing. The design still works as an image, but not as a finished poster. This is the clearest proof that text-like shapes and exact typography are different tasks. Use Kolors to generate the background or layout direction, then place headlines in a design app.<\/p>\n<h2 id=\"when-to-pick-kolors\">When to pick Kolors<\/h2>\n<table>\n<thead>\n<tr>\n<th>Use case<\/th>\n<th>What these results support<\/th>\n<th>What to check<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Editorial portraits<\/td>\n<td>Strong light, color, wardrobe, and silhouette<\/td>\n<td>Face, hands, and identity consistency<\/td>\n<\/tr>\n<tr>\n<td>Worldbuilding<\/td>\n<td>Convincing scale and layered environments<\/td>\n<td>Whether must-have objects survived<\/td>\n<\/tr>\n<tr>\n<td>Food and product concepts<\/td>\n<td>Materials, shadows, and visual appeal<\/td>\n<td>Counts, logos, labels, and exact products<\/td>\n<\/tr>\n<tr>\n<td>Text-led designs<\/td>\n<td>Good decorative composition<\/td>\n<td>Every character before publishing<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Kolors fits best when the image needs cinematic lighting, prompt-driven composition, or bilingual visual atmosphere and the final design can tolerate iteration. It is less suitable as the last step for exact brand text, legal copy, a fixed inventory layout, or a named product label. For more layout-focused experiments, see the <a href=\"https:\/\/wiro.ai\/blog\/sensenova-u1-8b-text-to-image-layout-tests\/\">SenseNova U1-8B layout tests<\/a>, the <a href=\"https:\/\/wiro.ai\/blog\/ovis-image-7b-6-text-rendering-prompts\/\">Ovis Image 7B text-rendering prompts<\/a>, and the <a href=\"https:\/\/wiro.ai\/blog\/sana-1600m-1024px-6-prompt-tests\/\">Sana 1600M 1024px tests<\/a>. To run this model, start with the same settings here, keep one variable per iteration, and use <a href=\"https:\/\/wiro.ai\/models\/wiro\/kolors-txt2img\">Kolors on Wiro<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kolors text-to-image was tested at 1024&#215;1024 with six prompts chosen to expose different failure modes: small bilingual lettering, signage inside a crowded&hellip;<\/p>\n","protected":false},"author":4,"featured_media":2036,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[52],"tags":[188,81],"class_list":["post-2014","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-reviews","tag-kolors","tag-text-to-image"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2014","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=2014"}],"version-history":[{"count":2,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2014\/revisions"}],"predecessor-version":[{"id":4212,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/2014\/revisions\/4212"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/2036"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=2014"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=2014"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=2014"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}