{"id":3244,"date":"2026-10-02T09:00:00","date_gmt":"2026-10-02T09:00:00","guid":{"rendered":"https:\/\/wiro.ai\/blog\/?p=3244"},"modified":"2026-06-09T00:27:10","modified_gmt":"2026-06-09T00:27:10","slug":"text-to-image-models-2026-layout-control","status":"publish","type":"post","link":"https:\/\/wiro.ai\/blog\/text-to-image-models-2026-layout-control\/","title":{"rendered":"Text-to-Image Models in 2026: Layout Control Gets Easier"},"content":{"rendered":"<p>Text-to-image models in 2026 feel less like novelty toys and more like layout tools. This draft now uses <strong>four prompt tests<\/strong> across the same three models, so the comparison is easier to trust. Each row keeps the prompt fixed and puts the outputs into a horizontal 3-cell grid.<\/p>\n<p>The short version: the gap is narrower than it was last year. The best runs now hold a frame together instead of just painting a scene. Tiny text is still fragile, but headline blocks, card layouts, and visual spacing are much harder to break.<\/p>\n<p>For a baseline on prompt structure and image controls, the OpenAI <a href=\"https:\/\/developers.openai.com\/api\/docs\/guides\/image-generation\" target=\"_blank\" rel=\"noopener\">image generation guide<\/a> is still a useful reference point.<\/p>\n<h2 id=\"toc\">What is in this scan<\/h2>\n<ul>\n<li><a href=\"#what-changed\">What changed in text-to-image models in 2026<\/a><\/li>\n<li><a href=\"#test-1\">Test 1: transit app poster<\/a><\/li>\n<li><a href=\"#test-2\">Test 2: coffee tasting guide<\/a><\/li>\n<li><a href=\"#test-3\">Test 3: conference schedule poster<\/a><\/li>\n<li><a href=\"#test-4\">Test 4: museum exhibition poster<\/a><\/li>\n<li><a href=\"#bottom-line\">Bottom line<\/a><\/li>\n<\/ul>\n<h2 id=\"what-changed\">Text-to-Image Models in 2026: what changed<\/h2>\n<p>The biggest shift is not style. It is structure. Newer text-to-image models are better at keeping a page-like composition in order. They are placing headline blocks, side cards, and empty space with more restraint. That matters for blog art, ad mockups, slide covers, and product graphics.<\/p>\n<p><a href=\"https:\/\/wiro.ai\/models\/microsoft\/lens\">Microsoft Lens<\/a> is a good example of that shift. It is pitched as a fast, high-resolution model with strong prompt following and multilingual support. <a href=\"https:\/\/wiro.ai\/models\/openai\/gpt-image-2-custom\">GPT Image 2 Custom<\/a> goes hard on exact sizing and edit control. <a href=\"https:\/\/wiro.ai\/models\/baidu\/ernie-image-turbo\">ERNIE-Image-Turbo<\/a> stays fast and structured, with a bias toward clean scenes over crowded typography.<\/p>\n<p>That mix points to the trend. The category is moving away from pure image novelty and toward production-friendly composition. A model does not need to nail every micro-letter to be useful. It needs to preserve hierarchy, balance, and spacing when the prompt gets busy.<\/p>\n<h2 id=\"test-1\">Test 1: transit app poster<\/h2>\n<p><strong>Prompt:<\/strong> Create a clean editorial poster for a fictional transit app called NORTHLINE with a bold headline, a subhead, a simple subway map, three feature cards, and a hero train illustration.<\/p>\n<table style=\"width:100%; border-collapse:collapse; table-layout:fixed; margin:20px 0;\">\n<thead>\n<tr>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">Microsoft Lens<\/th>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">GPT Image 2 Custom<\/th>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">ERNIE-Image-Turbo<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"1216\" height=\"1616\" class=\"wp-image-3240\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/lens.png\" alt=\"Microsoft Lens output for the NORTHLINE transit poster prompt\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/lens.png 1216w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/lens-384x510.webp 384w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/lens-677x900.webp 677w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/lens-768x1021.webp 768w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/lens-1156x1536.webp 1156w\" sizes=\"auto, (max-width: 1216px) 100vw, 1216px\" \/><\/td>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"848\" height=\"1264\" class=\"wp-image-3239\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/gpt.png\" alt=\"GPT Image 2 Custom output for the NORTHLINE transit poster prompt\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/gpt.png 848w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/gpt-342x510.webp 342w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/gpt-604x900.webp 604w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/gpt-768x1145.webp 768w\" sizes=\"auto, (max-width: 848px) 100vw, 848px\" \/><\/td>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"1536\" height=\"2048\" class=\"wp-image-3242\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/ernie.png\" alt=\"ERNIE Image Turbo output for the NORTHLINE transit poster prompt\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/ernie.png 1536w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/ernie-383x510.webp 383w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/ernie-675x900.webp 675w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/ernie-768x1024.webp 768w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/ernie-1152x1536.webp 1152w\" sizes=\"auto, (max-width: 1536px) 100vw, 1536px\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>This is still the cleanest baseline. All three models understand the idea, but GPT Image 2 Custom looks the most polished, while Lens keeps the strongest poster discipline. ERNIE-Image-Turbo stays readable, though the typography feels softer.<\/p>\n<h2 id=\"test-2\">Test 2: coffee tasting guide<\/h2>\n<p><strong>Prompt:<\/strong> Create a clean vertical coffee tasting guide poster for HARBOR BEAN with a bold headline, a short subhead, a three step brew chart, a flavor wheel, three bean cards, and a hero pour over kettle illustration.<\/p>\n<table style=\"width:100%; border-collapse:collapse; table-layout:fixed; margin:20px 0;\">\n<thead>\n<tr>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">Microsoft Lens<\/th>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">GPT Image 2 Custom<\/th>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">ERNIE-Image-Turbo<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"1168\" height=\"1760\" class=\"wp-image-3264\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-lens.png\" alt=\"Microsoft Lens coffee tasting guide layout test output\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-lens.png 1168w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-lens-338x510.webp 338w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-lens-597x900.webp 597w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-lens-768x1157.webp 768w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-lens-1019x1536.webp 1019w\" sizes=\"auto, (max-width: 1168px) 100vw, 1168px\" \/><\/td>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1536\" class=\"wp-image-3263\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-gpt.png\" alt=\"GPT Image 2 Custom coffee tasting guide layout test output\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-gpt.png 1024w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-gpt-340x510.webp 340w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-gpt-600x900.webp 600w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-gpt-768x1152.webp 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/td>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"848\" height=\"1264\" class=\"wp-image-3258\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-ernie.png\" alt=\"ERNIE Image Turbo coffee tasting guide layout test output\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-ernie.png 848w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-ernie-342x510.webp 342w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-ernie-604x900.webp 604w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-coffee-ernie-768x1145.webp 768w\" sizes=\"auto, (max-width: 848px) 100vw, 848px\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>This row shows the biggest spread. GPT Image 2 Custom clearly feels most design-led here, with the strongest headline, block spacing, and diagram balance. ERNIE-Image-Turbo keeps the brief intact. Lens lands the general idea, but the copy treatment is looser.<\/p>\n<h2 id=\"test-3\">Test 3: conference schedule poster<\/h2>\n<p><strong>Prompt:<\/strong> Create a clean editorial conference schedule poster for SIGNAL 2026 with a bold headline, a short subhead, a timetable column, three speaker cards, a venue mini map, and a hero abstract stage illustration.<\/p>\n<table style=\"width:100%; border-collapse:collapse; table-layout:fixed; margin:20px 0;\">\n<thead>\n<tr>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">Microsoft Lens<\/th>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">GPT Image 2 Custom<\/th>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">ERNIE-Image-Turbo<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"1168\" height=\"1760\" class=\"wp-image-3262\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-lens.png\" alt=\"Microsoft Lens conference schedule layout test output\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-lens.png 1168w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-lens-338x510.webp 338w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-lens-597x900.webp 597w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-lens-768x1157.webp 768w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-lens-1019x1536.webp 1019w\" sizes=\"auto, (max-width: 1168px) 100vw, 1168px\" \/><\/td>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1536\" class=\"wp-image-3259\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-gpt.png\" alt=\"GPT Image 2 Custom conference schedule layout test output\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-gpt.png 1024w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-gpt-340x510.webp 340w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-gpt-600x900.webp 600w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-gpt-768x1152.webp 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/td>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"848\" height=\"1264\" class=\"wp-image-3257\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-ernie.png\" alt=\"ERNIE Image Turbo conference schedule layout test output\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-ernie.png 848w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-ernie-342x510.webp 342w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-ernie-604x900.webp 604w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-signal-ernie-768x1145.webp 768w\" sizes=\"auto, (max-width: 848px) 100vw, 848px\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The schedule format is a good stress test because it needs both structure and pacing. GPT Image 2 Custom stays the cleanest. Lens keeps the page organized, even if the tiny text is not dependable. ERNIE-Image-Turbo is simpler, but still useful as a quick draft.<\/p>\n<h2 id=\"test-4\">Test 4: museum exhibition poster<\/h2>\n<p><strong>Prompt:<\/strong> Create a clean museum exhibition poster for CITY MAKERS with a bold headline, a short subhead, a floor plan inset, three exhibit highlight cards, and a hero architectural collage.<\/p>\n<table style=\"width:100%; border-collapse:collapse; table-layout:fixed; margin:20px 0;\">\n<thead>\n<tr>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">Microsoft Lens<\/th>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">GPT Image 2 Custom<\/th>\n<th style=\"border:1px solid #d9d9d9; padding:10px; text-align:center; width:33.33%;\">ERNIE-Image-Turbo<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"1168\" height=\"1760\" class=\"wp-image-3260\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-lens.png\" alt=\"Microsoft Lens museum exhibition layout test output\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-lens.png 1168w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-lens-338x510.webp 338w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-lens-597x900.webp 597w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-lens-768x1157.webp 768w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-lens-1019x1536.webp 1019w\" sizes=\"auto, (max-width: 1168px) 100vw, 1168px\" \/><\/td>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1536\" class=\"wp-image-3261\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-gpt.png\" alt=\"GPT Image 2 Custom museum exhibition layout test output\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-gpt.png 1024w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-gpt-340x510.webp 340w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-gpt-600x900.webp 600w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-gpt-768x1152.webp 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/td>\n<td style=\"border:1px solid #d9d9d9; padding:10px; vertical-align:top;\"><img loading=\"lazy\" decoding=\"async\" width=\"848\" height=\"1264\" class=\"wp-image-3256\" src=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-ernie.png\" alt=\"ERNIE Image Turbo museum exhibition layout test output\" style=\"width:100%; height:auto; display:block;\" srcset=\"https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-ernie.png 848w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-ernie-342x510.webp 342w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-ernie-604x900.webp 604w, https:\/\/wiro.ai\/blog\/wp-content\/uploads\/2026\/06\/post3244-city-ernie-768x1145.webp 768w\" sizes=\"auto, (max-width: 848px) 100vw, 848px\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>This row is more about mood plus structure. GPT Image 2 Custom again looks the most editorial. Lens keeps the architectural framing strong. ERNIE-Image-Turbo preserves the poster idea, but simplifies the collage treatment.<\/p>\n<table>\n<thead>\n<tr>\n<th>Model<\/th>\n<th>What looked strongest across 4 rows<\/th>\n<th>What still slips<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Microsoft Lens<\/td>\n<td>Poster discipline, clean framing, orderly page structure<\/td>\n<td>Busy copy blocks can loosen up<\/td>\n<\/tr>\n<tr>\n<td>GPT Image 2 Custom<\/td>\n<td>Most polished composition and best layout control overall<\/td>\n<td>Tiny text still needs human review<\/td>\n<\/tr>\n<tr>\n<td>ERNIE-Image-Turbo<\/td>\n<td>Fast readable drafts with stable overall structure<\/td>\n<td>Typography and dense micro-layouts feel softer<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"bottom-line\">Bottom line<\/h2>\n<p>The category is maturing in a practical way. Across these four same-prompt comparisons, GPT Image 2 Custom looks the most design-minded. Microsoft Lens is close behind when the job is a clean poster frame with good hierarchy. ERNIE-Image-Turbo stays useful for quick structured drafts, even when it is less polished.<\/p>\n<p>The real change in 2026 is not perfect text rendering. It is that layout control is easier to get on the first try. The better test now is simple: run the same prompt, put the outputs side by side, and judge which frame stays usable.<\/p>\n<p>Try the model pages above and run the same brief with your own brand colors, then keep the frame that feels most usable.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Text-to-image models in 2026 feel less like novelty toys and more like layout tools. This draft now uses four prompt tests across&hellip;<\/p>\n","protected":false},"author":4,"featured_media":3243,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[54],"tags":[61,81],"class_list":["post-3244","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-model-trends","tag-image-editing","tag-text-to-image"],"_links":{"self":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/3244","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=3244"}],"version-history":[{"count":2,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/3244\/revisions"}],"predecessor-version":[{"id":3265,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/posts\/3244\/revisions\/3265"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media\/3243"}],"wp:attachment":[{"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/media?parent=3244"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/categories?post=3244"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wiro.ai\/blog\/wp-json\/wp\/v2\/tags?post=3244"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}