{"id":1121,"date":"2026-02-25T23:45:58","date_gmt":"2026-02-25T23:45:58","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=1121"},"modified":"2026-02-25T04:37:37","modified_gmt":"2026-02-25T04:37:37","slug":"seedream-v5-lite-vs-seedream-v3-vs-p-image-5-prompt-text-test","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/seedream-v5-lite-vs-seedream-v3-vs-p-image-5-prompt-text-test\/","title":{"rendered":"Seedream V5 Lite vs Seedream v3 vs P-Image: 5 Prompt Text Test"},"content":{"rendered":"<p>Seedream V5 Lite aims at one annoying problem: models that can draw nice images but fail on text. This 5 prompt test compares <a href=\"https:\/\/wiro.ai\/models\/bytedance\/seedream-v5-lite\">Seedream V5 Lite<\/a> against <a href=\"https:\/\/wiro.ai\/models\/bytedance\/text-to-image-seedream-v3\">Seedream v3<\/a> and <a href=\"https:\/\/wiro.ai\/models\/pruna\/p-image\">Pruna P-Image<\/a> on labels, signage, UI, and diagrams.<\/p>\n<h2>What this test covers<\/h2>\n<ul>\n<li>5 prompts, same text for all models<\/li>\n<li>Focus: readable text + layout stability<\/li>\n<li>One image per model per prompt<\/li>\n<\/ul>\n<h2>Models tested<\/h2>\n<ul>\n<li>Seedream V5 Lite: <a href=\"https:\/\/wiro.ai\/models\/bytedance\/seedream-v5-lite\">https:\/\/wiro.ai\/models\/bytedance\/seedream-v5-lite<\/a><\/li>\n<li>Seedream v3: <a href=\"https:\/\/wiro.ai\/models\/bytedance\/text-to-image-seedream-v3\">https:\/\/wiro.ai\/models\/bytedance\/text-to-image-seedream-v3<\/a><\/li>\n<li>Pruna P-Image: <a href=\"https:\/\/wiro.ai\/models\/pruna\/p-image\">https:\/\/wiro.ai\/models\/pruna\/p-image<\/a><\/li>\n<\/ul>\n<h2>Prompt 1: Product can with label text<\/h2>\n<p>This prompt checks text on a curved surface plus product-photo realism.<\/p>\n<p><strong>Prompt:<\/strong> Photoreal studio product photo of a tall aluminum can on a white marble pedestal. Clean minimal label with clear legible text: KARA DENIZ IPA. Smaller text below: 6.5% ABV. Tiny line at bottom: 330 ML. Softbox lighting. High detail.<\/p>\n<h3>Seedream V5 Lite<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-v5-p1.jpg\" alt=\"Seedream V5 Lite output for product can label text prompt\" \/><figcaption>Seedream V5 Lite (2k, 3:2)<\/figcaption><\/figure>\n<h3>Seedream v3<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-v3-p1.jpg\" alt=\"Seedream v3 output for product can label text prompt\" \/><figcaption>Seedream v3 (1248&#215;832, 3:2)<\/figcaption><\/figure>\n<h3>Pruna P-Image<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-pimage-p1.jpg\" alt=\"Pruna P-Image output for product can label text prompt\" \/><figcaption>Pruna P-Image (3:2)<\/figcaption><\/figure>\n<h2>Prompt 2: Airport wayfinding sign<\/h2>\n<p>Signs look simple, but spacing and letter shapes drift fast. This prompt checks crisp text under realistic lighting.<\/p>\n<p><strong>Prompt:<\/strong> Wide angle photo inside a modern airport terminal. A hanging wayfinding sign in the center with crisp readable text on three lines: GELIS ARRIVALS, GIDIS DEPARTURES, CIKIS EXIT. Clean typography. Realistic lighting. Slight motion blur on people below.<\/p>\n<h3>Seedream V5 Lite<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-v5-p2-scaled.jpg\" alt=\"Seedream V5 Lite output for airport wayfinding sign prompt\" \/><figcaption>Seedream V5 Lite (2k, 16:9)<\/figcaption><\/figure>\n<h3>Seedream v3<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-v3-p2.jpg\" alt=\"Seedream v3 output for airport wayfinding sign prompt\" \/><figcaption>Seedream v3 (1280&#215;720, 16:9)<\/figcaption><\/figure>\n<h3>Pruna P-Image<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-pimage-p2.jpg\" alt=\"Pruna P-Image output for airport wayfinding sign prompt\" \/><figcaption>Pruna P-Image (16:9)<\/figcaption><\/figure>\n<h2>Prompt 3: Mobile onboarding UI mockup<\/h2>\n<p>UI tests stress typography hierarchy: title, subtitle, button, and a tiny link.<\/p>\n<p><strong>Prompt:<\/strong> Isometric UI mockup of a mobile app onboarding screen. Flat design with a soft gradient background. Big title text: SHIP FASTER. Smaller subtitle: Deploy in minutes. Primary button text: START FREE TRIAL. Small link text below: SKIP. Perfect typography.<\/p>\n<h3>Seedream V5 Lite<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-v5-p3-scaled.jpg\" alt=\"Seedream V5 Lite output for mobile onboarding UI prompt\" \/><figcaption>Seedream V5 Lite (2k, 9:16)<\/figcaption><\/figure>\n<h3>Seedream v3<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-v3-p3.jpg\" alt=\"Seedream v3 output for mobile onboarding UI prompt\" \/><figcaption>Seedream v3 (720&#215;1280, 9:16)<\/figcaption><\/figure>\n<h3>Pruna P-Image<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-pimage-p3.jpg\" alt=\"Pruna P-Image output for mobile onboarding UI prompt\" \/><figcaption>Pruna P-Image (9:16)<\/figcaption><\/figure>\n<h2>Prompt 4: Leaf diagram with labels<\/h2>\n<p>Diagrams fail in two ways: labels turn to gibberish, or leader lines point nowhere. This prompt checks both.<\/p>\n<p><strong>Prompt:<\/strong> Clean scientific diagram on a white background. Cross section of a leaf with neat labels and leader lines. Labels must be readable: CUTICLE, EPIDERMIS, PALISADE MESOPHYLL, SPONGY MESOPHYLL, STOMATA. Flat vector style. Precise alignment.<\/p>\n<h3>Seedream V5 Lite<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-v5-p4.jpg\" alt=\"Seedream V5 Lite output for leaf diagram labels prompt\" \/><figcaption>Seedream V5 Lite (2k, 4:3)<\/figcaption><\/figure>\n<h3>Seedream v3<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-v3-p4.jpg\" alt=\"Seedream v3 output for leaf diagram labels prompt\" \/><figcaption>Seedream v3 (1152&#215;864, 4:3)<\/figcaption><\/figure>\n<h3>Pruna P-Image<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-pimage-p4.jpg\" alt=\"Pruna P-Image output for leaf diagram labels prompt\" \/><figcaption>Pruna P-Image (4:3)<\/figcaption><\/figure>\n<h2>Prompt 5: Magazine cover layout<\/h2>\n<p>This prompt mixes photo realism with a typical cover hierarchy: big headline, smaller cover line, and a barcode.<\/p>\n<p><strong>Prompt:<\/strong> Magazine cover photo of a trail runner in winter gear on a snowy forest path. High fashion editorial lighting. Add clean readable cover text: WINTER RUN KIT. Smaller cover line: 12 LAYERS THAT WORK. Small barcode at bottom right.<\/p>\n<h3>Seedream V5 Lite<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-v5-p5.jpg\" alt=\"Seedream V5 Lite output for magazine cover text and barcode prompt\" \/><figcaption>Seedream V5 Lite (2k, 3:4)<\/figcaption><\/figure>\n<h3>Seedream v3<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-v3-p5.jpg\" alt=\"Seedream v3 output for magazine cover text and barcode prompt\" \/><figcaption>Seedream v3 (864&#215;1152, 3:4)<\/figcaption><\/figure>\n<h3>Pruna P-Image<\/h3>\n<figure><img decoding=\"async\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/02\/seedream-compare-pimage-p5.jpg\" alt=\"Pruna P-Image output for magazine cover text and barcode prompt\" \/><figcaption>Pruna P-Image (3:4)<\/figcaption><\/figure>\n<h2>Comparison table<\/h2>\n<table>\n<thead>\n<tr>\n<th>Model<\/th>\n<th>Best at<\/th>\n<th>Weak spot<\/th>\n<th>Observed runtime (this run)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Seedream V5 Lite<\/td>\n<td>Layout-heavy prompts and clean typography targets<\/td>\n<td>Longer runs for simple prompts<\/td>\n<td>31 to 42 seconds<\/td>\n<\/tr>\n<tr>\n<td>Seedream v3<\/td>\n<td>Fast baseline with solid photo results<\/td>\n<td>Small text and dense UI can drift<\/td>\n<td>8 to 15 seconds<\/td>\n<\/tr>\n<tr>\n<td>Pruna P-Image<\/td>\n<td>Speed on some photo prompts<\/td>\n<td>Can spike in time on layout prompts<\/td>\n<td>5 to 102 seconds<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Verdict<\/h2>\n<p>Seedream V5 Lite fits teams that care about text, diagrams, and UI mocks. Seedream v3 stays a good fast default when text does not matter. P-Image can be a quick pick, but the runtime swings on layout-heavy prompts.<\/p>\n<h2>Try the models<\/h2>\n<ul>\n<li><a href=\"https:\/\/wiro.ai\/models\/bytedance\/seedream-v5-lite\">Seedream V5 Lite<\/a><\/li>\n<li><a href=\"https:\/\/wiro.ai\/models\/bytedance\/text-to-image-seedream-v3\">Seedream v3<\/a><\/li>\n<li><a href=\"https:\/\/wiro.ai\/models\/pruna\/p-image\">Pruna P-Image<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Seedream V5 Lite aims at one annoying problem: models that can draw nice images but fail on text. This 5 prompt test&hellip;<\/p>\n","protected":false},"author":4,"featured_media":1120,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51],"tags":[72,88,73,93,87,81],"class_list":["post-1121","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-comparison","tag-benchmark","tag-bytedance","tag-comparison","tag-pruna","tag-seedream","tag-text-to-image"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1121","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=1121"}],"version-history":[{"count":1,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1121\/revisions"}],"predecessor-version":[{"id":1198,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/1121\/revisions\/1198"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/1120"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=1121"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=1121"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=1121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}