{"id":202,"date":"2026-08-11T07:32:10","date_gmt":"2026-08-11T07:32:10","guid":{"rendered":"https:\/\/flowz.orauria.com\/choose-ai-image-model-creative-direction\/"},"modified":"2026-08-11T07:32:10","modified_gmt":"2026-08-11T07:32:10","slug":"choose-ai-image-model-creative-direction","status":"publish","type":"post","link":"https:\/\/flowz.orauria.com\/ja\/choose-ai-image-model-creative-direction\/","title":{"rendered":"Choosing an AI Image Model by Creative Direction (Not Hype)"},"content":{"rendered":"<p>Model choice is not a \u201cwhich one is best\u201d question.<\/p>\n<p>It is a <strong>routing<\/strong> question.<\/p>\n<p>Route by creative direction and bottleneck after your QA gates are defined. Then the model becomes an implementation detail\u2014not a gamble.<\/p>\n<h2>Key Takeaways<\/h2>\n<blockquote>\n<p>&#8211; Creative direction defines what must stay true (world + roles + QC gates).<\/p>\n<\/blockquote>\n<blockquote>\n<p>&#8211; The bottleneck defines what the model must solve for you.<\/p>\n<\/blockquote>\n<blockquote>\n<p>&#8211; Pick the model after you lock direction\u2014then test under the same gates.<\/p>\n<\/blockquote>\n<h2>Step 1 \u2014 Lock direction first (inputs you must keep constant)<\/h2>\n<p>Before you compare models, lock:<\/p>\n<ul>\n<li>world promise (light family + palette logic),<\/li>\n<li>identity anchors (faces\/characters or texture cues),<\/li>\n<li>and your QA gates (geometry truth + readability).<\/li>\n<\/ul>\n<p>If direction changes while models change, you learn nothing.<\/p>\n<h2>Step 2 \u2014 Identify your bottleneck type<\/h2>\n<p>Most ecommerce issues fall into one of three bottleneck types:<\/p>\n<ol>\n<li><strong>Geometry bottleneck<\/strong>: edges, proportions, product silhouette<\/li>\n<li><strong>Texture bottleneck<\/strong>: materials, labels, stitching cues<\/li>\n<li><strong>Readability bottleneck<\/strong>: text\/label clarity after resize<\/li>\n<\/ol>\n<p>Your model should be selected based on the bottleneck you actually see.<\/p>\n<h2>Step 3 \u2014 Route outputs through QA gates<\/h2>\n<p>Don\u2019t decide by what the image \u201cfeels like\u201d. Decide by pass\/fail:<\/p>\n<ul>\n<li>geometry truth gate,<\/li>\n<li>readability gate,<\/li>\n<li>world continuity gate (shadow family + tone),<\/li>\n<li>and offer tone gate (if your copy implies a different promise).<\/li>\n<\/ul>\n<h2>A practical routing checklist<\/h2>\n<p>Use this checklist whenever a new model trend appears:<\/p>\n<ol>\n<li>What bottleneck are we solving today?<\/li>\n<li>Are direction + gates unchanged?<\/li>\n<li>Can we compare on the same output formats (1:1, 9:16, listing)?<\/li>\n<li>Are we rejecting failures early (before polish)?<\/li>\n<\/ol>\n<p>If yes: test models. If no: fix the direction kit first.<\/p>\n<h2>What to do next<\/h2>\n<p>Start with the direction-after rule:<\/p>\n<ul>\n<li><a href=\"\/posts\/choose-image-model-after-creative-direction\/\">Choose the Image Model After Creative Direction<\/a><\/li>\n<\/ul>\n<p>Then upgrade routing to bottleneck-first:<\/p>\n<ul>\n<li>pick the model by QA evidence,<\/li>\n<li>and keep your gates constant.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>A decision guide: route by bottleneck after your creative direction and QA gates are locked\u2014so your model choice is predictable.<\/p>\n","protected":false},"author":1,"featured_media":201,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32,12],"tags":[],"class_list":["post-202","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-guides","category-tools-when-needed"],"_links":{"self":[{"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/posts\/202","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/comments?post=202"}],"version-history":[{"count":0,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/posts\/202\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/media\/201"}],"wp:attachment":[{"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/media?parent=202"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/categories?post=202"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/tags?post=202"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}