{"id":94936,"date":"2025-01-28T09:00:32","date_gmt":"2025-01-28T05:30:32","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/running-deepseek-janus-pro-1b-in-the-browser-a-step-by-step-guide-kj2\/"},"modified":"2025-01-28T09:00:32","modified_gmt":"2025-01-28T05:30:32","slug":"running-deepseek-janus-pro-1b-in-the-browser-a-step-by-step-guide-kj2","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/running-deepseek-janus-pro-1b-in-the-browser-a-step-by-step-guide-kj2\/","title":{"rendered":"\u0627\u062c\u0631\u0627\u06cc Deepseek Janus-Pro-1B \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631: \u06cc\u06a9 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u062c\u0627\u0645\u0639"},"content":{"rendered":"<div data-article-id=\"2245464\" id=\"article-body\">\n<p>\u0627\u0645\u06a9\u0627\u0646 \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0632\u0628\u0627\u0646 (LLMS) \u0628\u0647 \u0637\u0648\u0631 \u0645\u0633\u062a\u0642\u06cc\u0645 \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631 \u0627\u0645\u06a9\u0627\u0646\u0627\u062a \u062c\u062f\u06cc\u062f\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc AI \u062f\u0631 \u06a9\u0646\u0627\u0631 \u0645\u0634\u062a\u0631\u06cc \u062d\u0641\u0638 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. \u062f\u0631 \u0627\u06cc\u0646 \u067e\u0633\u062a \u0648\u0628\u0644\u0627\u06af \u060c \u0646\u062d\u0648\u0647 \u0627\u062c\u0631\u0627\u06cc \u0622\u0646 \u0631\u0627 \u06a9\u0634\u0641 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <strong>Deepseek Janus-Pro-1B<\/strong>\u060c \u06cc\u06a9 \u0645\u062f\u0644 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u062a\u0648\u0644\u06cc\u062f \u0645\u062a\u0646 \u0628\u0647 \u062a\u0635\u0648\u06cc\u0631 \u060c \u06a9\u0627\u0645\u0644\u0627\u064b \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 WebGPU \u0648 \u0628\u063a\u0644 \u06a9\u0631\u062f\u0646 \u062a\u0631\u0627\u0646\u0633\u0641\u0648\u0631\u0645\u0627\u062a\u0648\u0631 Face.js.  <\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter-rtl ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/nabfollower.com\/blog\/running-deepseek-janus-pro-1b-in-the-browser-a-step-by-step-guide-kj2\/#%DA%86%D8%B1%D8%A7_%D8%A7%D8%B3%D8%AA%D9%86%D8%A8%D8%A7%D8%B7_%D9%85%D8%A8%D8%AA%D9%86%DB%8C_%D8%A8%D8%B1_%D9%85%D8%B1%D9%88%D8%B1%DA%AF%D8%B1%D8%9F\" >\u0686\u0631\u0627 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0645\u0631\u0648\u0631\u06af\u0631\u061f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/nabfollower.com\/blog\/running-deepseek-janus-pro-1b-in-the-browser-a-step-by-step-guide-kj2\/#%D8%A7%D8%A8%D8%B2%D8%A7%D8%B1_%D9%88_%DA%A9%D8%AA%D8%A7%D8%A8%D8%AE%D8%A7%D9%86%D9%87_%D9%87%D8%A7%DB%8C_%DA%A9%D9%84%DB%8C%D8%AF%DB%8C\" >\u0627\u0628\u0632\u0627\u0631 \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/nabfollower.com\/blog\/running-deepseek-janus-pro-1b-in-the-browser-a-step-by-step-guide-kj2\/#%DA%A9%D8%AF_%D9%86%D8%B3%D8%AE%D9%87_%DB%8C_%D9%86%D9%85%D8%A7%DB%8C%D8%B4%DB%8C\" >\u06a9\u062f \u0646\u0633\u062e\u0647 \u06cc \u0646\u0645\u0627\u06cc\u0634\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/nabfollower.com\/blog\/running-deepseek-janus-pro-1b-in-the-browser-a-step-by-step-guide-kj2\/#%D8%A7%D8%AC%D8%B1%D8%A7%DB%8C_%D9%86%D8%B3%D8%AE%D9%87_%DB%8C_%D9%86%D9%85%D8%A7%DB%8C%D8%B4%DB%8C\" >\u0627\u062c\u0631\u0627\u06cc \u0646\u0633\u062e\u0647 \u06cc \u0646\u0645\u0627\u06cc\u0634\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/nabfollower.com\/blog\/running-deepseek-janus-pro-1b-in-the-browser-a-step-by-step-guide-kj2\/#%DA%86%D8%A7%D9%84%D8%B4_%D9%87%D8%A7_%D9%88_%D8%A8%D9%87%DB%8C%D9%86%D9%87_%D8%B3%D8%A7%D8%B2%DB%8C_%D9%87%D8%A7\" >\u0686\u0627\u0644\u0634 \u0647\u0627 \u0648 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/nabfollower.com\/blog\/running-deepseek-janus-pro-1b-in-the-browser-a-step-by-step-guide-kj2\/#%D9%BE%D8%A7%DB%8C%D8%A7%D9%86\" >\u067e\u0627\u06cc\u0627\u0646<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%DA%86%D8%B1%D8%A7_%D8%A7%D8%B3%D8%AA%D9%86%D8%A8%D8%A7%D8%B7_%D9%85%D8%A8%D8%AA%D9%86%DB%8C_%D8%A8%D8%B1_%D9%85%D8%B1%D9%88%D8%B1%DA%AF%D8%B1%D8%9F\"><\/span>\n<p>  <strong>\u0686\u0631\u0627 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0645\u0631\u0648\u0631\u06af\u0631\u061f<\/strong><br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ol>\n<li>\n<strong>\u062e\u0644\u0648\u062a<\/strong>: \u062f\u0627\u062f\u0647 \u0647\u0627 \u0647\u0631\u06af\u0632 \u062f\u0633\u062a\u06af\u0627\u0647 \u06a9\u0627\u0631\u0628\u0631 \u0631\u0627 \u062a\u0631\u06a9 \u0646\u0645\u06cc \u06a9\u0646\u0646\u062f.\n<\/li>\n<li>\n<strong>\u0631\u0627\u0646\u062f\u0645\u0627\u0646 \u0647\u0632\u06cc\u0646\u0647<\/strong>: \u0647\u06cc\u0686 \u0632\u06cc\u0631\u0633\u0627\u062e\u062a \u0633\u0631\u0648\u0631 \u0644\u0627\u0632\u0645 \u0646\u06cc\u0633\u062a.\n<\/li>\n<li>\n<strong>\u0642\u0627\u0628\u0644\u06cc\u062a \u062f\u0633\u062a\u0631\u0633\u06cc<\/strong>: \u062f\u0631 \u0647\u0631 \u062f\u0633\u062a\u06af\u0627\u0647\u06cc \u0628\u0627 \u0645\u0631\u0648\u0631\u06af\u0631 \u0645\u062f\u0631\u0646 \u0648 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc WebGPU \u0627\u062c\u0631\u0627 \u0645\u06cc \u0634\u0648\u062f.\n<\/li>\n<\/ol>\n<p>Deepseek Janus-Pro-1B \u060c \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0647\u0627\u06cc \u0686\u0646\u062f \u0645\u062f\u0644\u06cc \u0645\u0627\u0646\u0646\u062f \u062a\u0648\u0644\u06cc\u062f \u0645\u062a\u0646 \u0628\u0647 \u062a\u0635\u0648\u06cc\u0631 \u060c \u0627\u06a9\u0646\u0648\u0646 \u0628\u0647 \u0644\u0637\u0641 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u062f\u0631 \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0645\u0631\u0648\u0631\u06af\u0631 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a <strong>Transform.js<\/strong> \u0648\u062a <strong>\u0634\u062a\u0627\u0628 WebGPU<\/strong>\u0628\u0634\u0631  <\/p>\n<h2><span class=\"ez-toc-section\" id=\"%D8%A7%D8%A8%D8%B2%D8%A7%D8%B1_%D9%88_%DA%A9%D8%AA%D8%A7%D8%A8%D8%AE%D8%A7%D9%86%D9%87_%D9%87%D8%A7%DB%8C_%DA%A9%D9%84%DB%8C%D8%AF%DB%8C\"><\/span>\n<p>  <strong>\u0627\u0628\u0632\u0627\u0631 \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc<\/strong><br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ol>\n<li>\n<strong>Transform.js<\/strong>: \u06cc\u06a9 \u0628\u0646\u062f\u0631 JavaScript \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u062a\u0631\u0627\u0646\u0633\u0641\u0648\u0631\u0645\u0627\u062a\u0648\u0631 Face Husging Face \u060c \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0645\u0631\u0648\u0631\u06af\u0631 \u0628\u0647\u06cc\u0646\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.\n<\/li>\n<li>\n<strong>webgpu<\/strong>: \u06cc\u06a9 API \u0645\u062f\u0631\u0646 \u0628\u0631\u0627\u06cc \u0634\u062a\u0627\u0628 GPU \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631\u0647\u0627 \u060c \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u06a9\u0631\u062f\u0646 WebGL \u0628\u0627 \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0647\u0628\u0648\u062f \u06cc\u0627\u0641\u062a\u0647 \u0628\u0631\u0627\u06cc \u0628\u0627\u0631 \u06a9\u0627\u0631\u06cc ML.\n<\/li>\n<li>\n<strong>\u0632\u0645\u0627\u0646 \u0627\u062c\u0631\u0627 Onnx<\/strong>: \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0647 \u0628\u0647\u06cc\u0646\u0647 \u0634\u062f\u0647 \u0627\u0645\u06a9\u0627\u0646 \u067e\u0630\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u062f.\n<\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"%DA%A9%D8%AF_%D9%86%D8%B3%D8%AE%D9%87_%DB%8C_%D9%86%D9%85%D8%A7%DB%8C%D8%B4%DB%8C\"><\/span>\n<p>  <strong>\u06a9\u062f \u0646\u0633\u062e\u0647 \u06cc \u0646\u0645\u0627\u06cc\u0634\u06cc<\/strong><br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0645\u062b\u0627\u0644 \u0632\u06cc\u0631 \u0646\u062d\u0648\u0647 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0648 \u0627\u062c\u0631\u0627\u06cc Deepseek Janus-Pro-1B \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u06a9\u0627\u0631\u06af\u0631 \u0648\u0628 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u063a\u06cc\u0631 \u0645\u0633\u062f\u0648\u062f \u06a9\u0646\u0646\u062f\u0647 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f. \u06a9\u062f \u06a9\u0627\u0645\u0644 \u062f\u0631 \u0645\u062e\u0632\u0646 GitHub \u0645\u0648\u062c\u0648\u062f \u0627\u0633\u062a.<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight javascript\"><code><span class=\"k\">import<\/span> <span class=\"p\">{<\/span>\n  <span class=\"nx\">AutoProcessor<\/span><span class=\"p\">,<\/span>\n  <span class=\"nx\">MultiModalityCausalLM<\/span><span class=\"p\">,<\/span>\n  <span class=\"nx\">BaseStreamer<\/span><span class=\"p\">,<\/span>\n  <span class=\"nx\">TextStreamer<\/span><span class=\"p\">,<\/span>\n  <span class=\"nx\">InterruptableStoppingCriteria<\/span><span class=\"p\">,<\/span>\n<span class=\"p\">}<\/span> <span class=\"k\">from<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">@huggingface\/transformers<\/span><span class=\"dl\">\"<\/span><span class=\"p\">;<\/span>\n\n<span class=\"c1\">\/\/ Define constants<\/span>\n<span class=\"kd\">const<\/span> <span class=\"nx\">IMAGE_GENERATION_COMMAND_PREFIX<\/span> <span class=\"o\">=<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">\/imagine <\/span><span class=\"dl\">\"<\/span><span class=\"p\">;<\/span>\n<span class=\"kd\">const<\/span> <span class=\"nx\">MAX_NEW_TEXT_TOKENS<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">1024<\/span><span class=\"p\">;<\/span>\n\n<span class=\"cm\">\/**\n * Helper function to perform WebGPU feature detection\n *\/<\/span>\n<span class=\"kd\">let<\/span> <span class=\"nx\">fp16_supported<\/span> <span class=\"o\">=<\/span> <span class=\"kc\">false<\/span><span class=\"p\">;<\/span>\n<span class=\"k\">async<\/span> <span class=\"kd\">function<\/span> <span class=\"nf\">check<\/span><span class=\"p\">()<\/span> <span class=\"p\">{<\/span>\n  <span class=\"k\">try<\/span> <span class=\"p\">{<\/span>\n    <span class=\"kd\">const<\/span> <span class=\"nx\">adapter<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nb\">navigator<\/span><span class=\"p\">.<\/span><span class=\"nx\">gpu<\/span><span class=\"p\">.<\/span><span class=\"nf\">requestAdapter<\/span><span class=\"p\">();<\/span>\n    <span class=\"k\">if <\/span><span class=\"p\">(<\/span><span class=\"o\">!<\/span><span class=\"nx\">adapter<\/span><span class=\"p\">)<\/span> <span class=\"p\">{<\/span>\n      <span class=\"k\">throw<\/span> <span class=\"k\">new<\/span> <span class=\"nc\">Error<\/span><span class=\"p\">(<\/span><span class=\"dl\">\"<\/span><span class=\"s2\">WebGPU is not supported (no adapter found)<\/span><span class=\"dl\">\"<\/span><span class=\"p\">);<\/span>\n    <span class=\"p\">}<\/span>\n    <span class=\"nx\">fp16_supported<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">adapter<\/span><span class=\"p\">.<\/span><span class=\"nx\">features<\/span><span class=\"p\">.<\/span><span class=\"nf\">has<\/span><span class=\"p\">(<\/span><span class=\"dl\">\"<\/span><span class=\"s2\">shader-f16<\/span><span class=\"dl\">\"<\/span><span class=\"p\">);<\/span>\n    <span class=\"nb\">self<\/span><span class=\"p\">.<\/span><span class=\"nf\">postMessage<\/span><span class=\"p\">({<\/span>\n      <span class=\"na\">status<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">success<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n      <span class=\"na\">data<\/span><span class=\"p\">:<\/span> <span class=\"nx\">fp16_supported<\/span><span class=\"p\">,<\/span>\n    <span class=\"p\">});<\/span>\n  <span class=\"p\">}<\/span> <span class=\"k\">catch <\/span><span class=\"p\">(<\/span><span class=\"nx\">e<\/span><span class=\"p\">)<\/span> <span class=\"p\">{<\/span>\n    <span class=\"nb\">self<\/span><span class=\"p\">.<\/span><span class=\"nf\">postMessage<\/span><span class=\"p\">({<\/span>\n      <span class=\"na\">status<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">error<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n      <span class=\"na\">data<\/span><span class=\"p\">:<\/span> <span class=\"nx\">e<\/span><span class=\"p\">.<\/span><span class=\"nf\">toString<\/span><span class=\"p\">(),<\/span>\n    <span class=\"p\">});<\/span>\n  <span class=\"p\">}<\/span>\n<span class=\"p\">}<\/span>\n\n<span class=\"cm\">\/**\n * This class uses the Singleton pattern to enable lazy-loading of the pipeline\n *\/<\/span>\n<span class=\"kd\">class<\/span> <span class=\"nc\">ImageGenerationPipeline<\/span> <span class=\"p\">{<\/span>\n  <span class=\"kd\">static<\/span> <span class=\"nx\">model_id<\/span> <span class=\"o\">=<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">onnx-community\/Janus-Pro-1B-ONNX<\/span><span class=\"dl\">\"<\/span><span class=\"p\">;<\/span>\n\n  <span class=\"kd\">static<\/span> <span class=\"k\">async<\/span> <span class=\"nf\">getInstance<\/span><span class=\"p\">(<\/span><span class=\"nx\">progress_callback<\/span> <span class=\"o\">=<\/span> <span class=\"kc\">null<\/span><span class=\"p\">)<\/span> <span class=\"p\">{<\/span>\n    <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">processor<\/span> <span class=\"o\">??=<\/span> <span class=\"nx\">AutoProcessor<\/span><span class=\"p\">.<\/span><span class=\"nf\">from_pretrained<\/span><span class=\"p\">(<\/span><span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">model_id<\/span><span class=\"p\">,<\/span> <span class=\"p\">{<\/span>\n      <span class=\"nx\">progress_callback<\/span><span class=\"p\">,<\/span>\n    <span class=\"p\">});<\/span>\n\n    <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">model<\/span> <span class=\"o\">??=<\/span> <span class=\"nx\">MultiModalityCausalLM<\/span><span class=\"p\">.<\/span><span class=\"nf\">from_pretrained<\/span><span class=\"p\">(<\/span><span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">model_id<\/span><span class=\"p\">,<\/span> <span class=\"p\">{<\/span>\n      <span class=\"na\">dtype<\/span><span class=\"p\">:<\/span> <span class=\"nx\">fp16_supported<\/span>\n        <span class=\"p\">?<\/span> <span class=\"p\">{<\/span>\n            <span class=\"na\">prepare_inputs_embeds<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">q4<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n            <span class=\"na\">language_model<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">q4f16<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n            <span class=\"na\">lm_head<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">fp16<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n            <span class=\"na\">gen_head<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">fp16<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n            <span class=\"na\">gen_img_embeds<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">fp16<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n            <span class=\"na\">image_decode<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">fp32<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n          <span class=\"p\">}<\/span>\n        <span class=\"p\">:<\/span> <span class=\"p\">{<\/span>\n            <span class=\"na\">prepare_inputs_embeds<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">fp32<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n            <span class=\"na\">language_model<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">q4<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n            <span class=\"na\">lm_head<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">fp32<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n            <span class=\"na\">gen_head<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">fp32<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n            <span class=\"na\">gen_img_embeds<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">fp32<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n            <span class=\"na\">image_decode<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">fp32<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n          <span class=\"p\">},<\/span>\n      <span class=\"na\">device<\/span><span class=\"p\">:<\/span> <span class=\"p\">{<\/span>\n        <span class=\"na\">prepare_inputs_embeds<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">wasm<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span> <span class=\"c1\">\/\/ TODO use \"webgpu\" when bug is fixed<\/span>\n        <span class=\"na\">language_model<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">webgpu<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n        <span class=\"na\">lm_head<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">webgpu<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n        <span class=\"na\">gen_head<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">webgpu<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n        <span class=\"na\">gen_img_embeds<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">webgpu<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n        <span class=\"na\">image_decode<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">webgpu<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n      <span class=\"p\">},<\/span>\n      <span class=\"nx\">progress_callback<\/span><span class=\"p\">,<\/span>\n    <span class=\"p\">});<\/span>\n\n    <span class=\"k\">return<\/span> <span class=\"nb\">Promise<\/span><span class=\"p\">.<\/span><span class=\"nf\">all<\/span><span class=\"p\">([<\/span><span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">processor<\/span><span class=\"p\">,<\/span> <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">model<\/span><span class=\"p\">]);<\/span>\n  <span class=\"p\">}<\/span>\n<span class=\"p\">}<\/span>\n\n<span class=\"kd\">class<\/span> <span class=\"nc\">ProgressStreamer<\/span> <span class=\"kd\">extends<\/span> <span class=\"nc\">BaseStreamer<\/span> <span class=\"p\">{<\/span>\n  <span class=\"nf\">constructor<\/span><span class=\"p\">(<\/span><span class=\"nx\">total<\/span><span class=\"p\">,<\/span> <span class=\"nx\">on_progress<\/span><span class=\"p\">)<\/span> <span class=\"p\">{<\/span>\n    <span class=\"k\">super<\/span><span class=\"p\">();<\/span>\n    <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">total<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">total<\/span><span class=\"p\">;<\/span>\n    <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">on_progress<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">on_progress<\/span><span class=\"p\">;<\/span>\n\n    <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">count<\/span> <span class=\"o\">=<\/span> <span class=\"kc\">null<\/span><span class=\"p\">;<\/span>\n    <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">start_time<\/span> <span class=\"o\">=<\/span> <span class=\"kc\">null<\/span><span class=\"p\">;<\/span>\n  <span class=\"p\">}<\/span>\n\n  <span class=\"nf\">put<\/span><span class=\"p\">(<\/span><span class=\"nx\">value<\/span><span class=\"p\">)<\/span> <span class=\"p\">{<\/span>\n    <span class=\"k\">if <\/span><span class=\"p\">(<\/span><span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">count<\/span> <span class=\"o\">===<\/span> <span class=\"kc\">null<\/span><span class=\"p\">)<\/span> <span class=\"p\">{<\/span>\n      <span class=\"c1\">\/\/ Ignore the first batch of tokens (prompt)<\/span>\n      <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">count<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">0<\/span><span class=\"p\">;<\/span>\n      <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">start_time<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">performance<\/span><span class=\"p\">.<\/span><span class=\"nf\">now<\/span><span class=\"p\">();<\/span>\n      <span class=\"k\">return<\/span><span class=\"p\">;<\/span>\n    <span class=\"p\">}<\/span>\n\n    <span class=\"kd\">const<\/span> <span class=\"nx\">progress<\/span> <span class=\"o\">=<\/span> <span class=\"o\">++<\/span><span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">count<\/span> <span class=\"o\">\/<\/span> <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">total<\/span><span class=\"p\">;<\/span>\n\n    <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nf\">on_progress<\/span><span class=\"p\">({<\/span>\n      <span class=\"na\">count<\/span><span class=\"p\">:<\/span> <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">count<\/span><span class=\"p\">,<\/span>\n      <span class=\"na\">total<\/span><span class=\"p\">:<\/span> <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">total<\/span><span class=\"p\">,<\/span>\n      <span class=\"nx\">progress<\/span><span class=\"p\">,<\/span>\n      <span class=\"na\">time<\/span><span class=\"p\">:<\/span> <span class=\"nx\">performance<\/span><span class=\"p\">.<\/span><span class=\"nf\">now<\/span><span class=\"p\">()<\/span> <span class=\"o\">-<\/span> <span class=\"k\">this<\/span><span class=\"p\">.<\/span><span class=\"nx\">start_time<\/span><span class=\"p\">,<\/span>\n    <span class=\"p\">});<\/span>\n  <span class=\"p\">}<\/span>\n\n  <span class=\"nf\">end<\/span><span class=\"p\">()<\/span> <span class=\"p\">{<\/span>\n    <span class=\"cm\">\/* no nothing *\/<\/span>\n  <span class=\"p\">}<\/span>\n<span class=\"p\">}<\/span>\n\n<span class=\"kd\">const<\/span> <span class=\"nx\">stopping_criteria<\/span> <span class=\"o\">=<\/span> <span class=\"k\">new<\/span> <span class=\"nc\">InterruptableStoppingCriteria<\/span><span class=\"p\">();<\/span>\n\n<span class=\"k\">async<\/span> <span class=\"kd\">function<\/span> <span class=\"nf\">generate<\/span><span class=\"p\">(<\/span><span class=\"nx\">messages<\/span><span class=\"p\">)<\/span> <span class=\"p\">{<\/span>\n  <span class=\"c1\">\/\/ For this demo, we only respond to the last message<\/span>\n  <span class=\"kd\">const<\/span> <span class=\"nx\">message<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">messages<\/span><span class=\"p\">.<\/span><span class=\"nf\">at<\/span><span class=\"p\">(<\/span><span class=\"o\">-<\/span><span class=\"mi\">1<\/span><span class=\"p\">);<\/span>\n\n  <span class=\"c1\">\/\/ Tell the main thread we are starting<\/span>\n  <span class=\"nb\">self<\/span><span class=\"p\">.<\/span><span class=\"nf\">postMessage<\/span><span class=\"p\">({<\/span> <span class=\"na\">status<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">start<\/span><span class=\"dl\">\"<\/span> <span class=\"p\">});<\/span>\n\n  <span class=\"c1\">\/\/ Load the pipeline<\/span>\n  <span class=\"kd\">const<\/span> <span class=\"p\">[<\/span><span class=\"nx\">processor<\/span><span class=\"p\">,<\/span> <span class=\"nx\">model<\/span><span class=\"p\">]<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nx\">ImageGenerationPipeline<\/span><span class=\"p\">.<\/span><span class=\"nf\">getInstance<\/span><span class=\"p\">();<\/span>\n\n  <span class=\"c1\">\/\/ Determine if the user wants to generate an image or text<\/span>\n  <span class=\"k\">if <\/span><span class=\"p\">(<\/span><span class=\"nx\">message<\/span><span class=\"p\">.<\/span><span class=\"nx\">content<\/span><span class=\"p\">.<\/span><span class=\"nf\">startsWith<\/span><span class=\"p\">(<\/span><span class=\"nx\">IMAGE_GENERATION_COMMAND_PREFIX<\/span><span class=\"p\">))<\/span> <span class=\"p\">{<\/span>\n    <span class=\"kd\">const<\/span> <span class=\"nx\">text<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">message<\/span><span class=\"p\">.<\/span><span class=\"nx\">content<\/span><span class=\"p\">.<\/span><span class=\"nf\">replace<\/span><span class=\"p\">(<\/span><span class=\"nx\">IMAGE_GENERATION_COMMAND_PREFIX<\/span><span class=\"p\">,<\/span> <span class=\"dl\">\"\"<\/span><span class=\"p\">);<\/span>\n\n    <span class=\"kd\">const<\/span> <span class=\"nx\">conversation<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span>\n      <span class=\"p\">{<\/span>\n        <span class=\"na\">role<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">&lt;|User|&gt;<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span> <span class=\"c1\">\/\/ uses title case<\/span>\n        <span class=\"na\">content<\/span><span class=\"p\">:<\/span> <span class=\"nx\">text<\/span><span class=\"p\">,<\/span>\n      <span class=\"p\">},<\/span>\n    <span class=\"p\">];<\/span>\n    <span class=\"kd\">const<\/span> <span class=\"nx\">inputs<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nf\">processor<\/span><span class=\"p\">(<\/span><span class=\"nx\">conversation<\/span><span class=\"p\">,<\/span> <span class=\"p\">{<\/span>\n      <span class=\"na\">chat_template<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">text_to_image<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n    <span class=\"p\">});<\/span>\n\n    <span class=\"kd\">const<\/span> <span class=\"nx\">callback_function<\/span> <span class=\"o\">=<\/span> <span class=\"p\">(<\/span><span class=\"nx\">output<\/span><span class=\"p\">)<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\n      <span class=\"nb\">self<\/span><span class=\"p\">.<\/span><span class=\"nf\">postMessage<\/span><span class=\"p\">({<\/span>\n        <span class=\"na\">status<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">image-update<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n        <span class=\"p\">...<\/span><span class=\"nx\">output<\/span><span class=\"p\">,<\/span>\n      <span class=\"p\">});<\/span>\n    <span class=\"p\">};<\/span>\n\n    <span class=\"kd\">const<\/span> <span class=\"nx\">num_image_tokens<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">processor<\/span><span class=\"p\">.<\/span><span class=\"nx\">num_image_tokens<\/span><span class=\"p\">;<\/span>\n    <span class=\"kd\">const<\/span> <span class=\"nx\">streamer<\/span> <span class=\"o\">=<\/span> <span class=\"k\">new<\/span> <span class=\"nc\">ProgressStreamer<\/span><span class=\"p\">(<\/span><span class=\"nx\">num_image_tokens<\/span><span class=\"p\">,<\/span> <span class=\"nx\">callback_function<\/span><span class=\"p\">);<\/span>\n\n    <span class=\"kd\">const<\/span> <span class=\"nx\">outputs<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nx\">model<\/span><span class=\"p\">.<\/span><span class=\"nf\">generate_images<\/span><span class=\"p\">({<\/span>\n      <span class=\"p\">...<\/span><span class=\"nx\">inputs<\/span><span class=\"p\">,<\/span>\n      <span class=\"na\">min_new_tokens<\/span><span class=\"p\">:<\/span> <span class=\"nx\">num_image_tokens<\/span><span class=\"p\">,<\/span>\n      <span class=\"na\">max_new_tokens<\/span><span class=\"p\">:<\/span> <span class=\"nx\">num_image_tokens<\/span><span class=\"p\">,<\/span>\n      <span class=\"na\">do_sample<\/span><span class=\"p\">:<\/span> <span class=\"kc\">true<\/span><span class=\"p\">,<\/span>\n      <span class=\"nx\">streamer<\/span><span class=\"p\">,<\/span>\n    <span class=\"p\">});<\/span>\n\n    <span class=\"kd\">const<\/span> <span class=\"nx\">blob<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nx\">outputs<\/span><span class=\"p\">[<\/span><span class=\"mi\">0<\/span><span class=\"p\">].<\/span><span class=\"nf\">toBlob<\/span><span class=\"p\">();<\/span>\n\n    <span class=\"c1\">\/\/ Send the output back to the main thread<\/span>\n    <span class=\"nb\">self<\/span><span class=\"p\">.<\/span><span class=\"nf\">postMessage<\/span><span class=\"p\">({<\/span>\n      <span class=\"na\">status<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">image-update<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n      <span class=\"nx\">blob<\/span><span class=\"p\">,<\/span>\n    <span class=\"p\">});<\/span>\n  <span class=\"p\">}<\/span> <span class=\"k\">else<\/span> <span class=\"p\">{<\/span>\n    <span class=\"kd\">const<\/span> <span class=\"nx\">inputs<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nf\">processor<\/span><span class=\"p\">(<\/span>\n      <span class=\"nx\">message<\/span><span class=\"p\">.<\/span><span class=\"nx\">image<\/span>\n        <span class=\"p\">?<\/span> <span class=\"p\">[<\/span>\n            <span class=\"p\">{<\/span>\n              <span class=\"na\">role<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">&lt;|User|&gt;<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n              <span class=\"na\">content<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\"><image_placeholder\/><\/span><span class=\"se\">\\n<\/span><span class=\"dl\">\"<\/span> <span class=\"o\">+<\/span> <span class=\"nx\">message<\/span><span class=\"p\">.<\/span><span class=\"nx\">content<\/span><span class=\"p\">,<\/span>\n              <span class=\"na\">images<\/span><span class=\"p\">:<\/span> <span class=\"p\">[<\/span><span class=\"nx\">message<\/span><span class=\"p\">.<\/span><span class=\"nx\">image<\/span><span class=\"p\">],<\/span>\n            <span class=\"p\">},<\/span>\n          <span class=\"p\">]<\/span>\n        <span class=\"p\">:<\/span> <span class=\"p\">[<\/span>\n            <span class=\"p\">{<\/span>\n              <span class=\"na\">role<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">&lt;|System|&gt;<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n              <span class=\"na\">content<\/span><span class=\"p\">:<\/span>\n                <span class=\"dl\">\"<\/span><span class=\"s2\">You are a helpful assistant. Answer the user's questions in a concise manner.<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n            <span class=\"p\">},<\/span>\n            <span class=\"p\">{<\/span>\n              <span class=\"na\">role<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">&lt;|User|&gt;<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n              <span class=\"na\">content<\/span><span class=\"p\">:<\/span> <span class=\"nx\">message<\/span><span class=\"p\">.<\/span><span class=\"nx\">content<\/span><span class=\"p\">,<\/span>\n            <span class=\"p\">},<\/span>\n          <span class=\"p\">],<\/span>\n    <span class=\"p\">);<\/span>\n\n    <span class=\"kd\">let<\/span> <span class=\"nx\">startTime<\/span><span class=\"p\">;<\/span>\n    <span class=\"kd\">let<\/span> <span class=\"nx\">numTokens<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">0<\/span><span class=\"p\">;<\/span>\n    <span class=\"kd\">let<\/span> <span class=\"nx\">tps<\/span><span class=\"p\">;<\/span>\n    <span class=\"kd\">const<\/span> <span class=\"nx\">token_callback_function<\/span> <span class=\"o\">=<\/span> <span class=\"p\">()<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\n      <span class=\"nx\">startTime<\/span> <span class=\"o\">??=<\/span> <span class=\"nx\">performance<\/span><span class=\"p\">.<\/span><span class=\"nf\">now<\/span><span class=\"p\">();<\/span>\n\n      <span class=\"k\">if <\/span><span class=\"p\">(<\/span><span class=\"nx\">numTokens<\/span><span class=\"o\">++<\/span> <span class=\"o\">&gt;<\/span> <span class=\"mi\">0<\/span><span class=\"p\">)<\/span> <span class=\"p\">{<\/span>\n        <span class=\"nx\">tps<\/span> <span class=\"o\">=<\/span> <span class=\"p\">(<\/span><span class=\"nx\">numTokens<\/span> <span class=\"o\">\/<\/span> <span class=\"p\">(<\/span><span class=\"nx\">performance<\/span><span class=\"p\">.<\/span><span class=\"nf\">now<\/span><span class=\"p\">()<\/span> <span class=\"o\">-<\/span> <span class=\"nx\">startTime<\/span><span class=\"p\">))<\/span> <span class=\"o\">*<\/span> <span class=\"mi\">1000<\/span><span class=\"p\">;<\/span>\n      <span class=\"p\">}<\/span>\n    <span class=\"p\">};<\/span>\n    <span class=\"kd\">const<\/span> <span class=\"nx\">callback_function<\/span> <span class=\"o\">=<\/span> <span class=\"p\">(<\/span><span class=\"nx\">output<\/span><span class=\"p\">)<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\n      <span class=\"nb\">self<\/span><span class=\"p\">.<\/span><span class=\"nf\">postMessage<\/span><span class=\"p\">({<\/span>\n        <span class=\"na\">status<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">text-update<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n        <span class=\"nx\">output<\/span><span class=\"p\">,<\/span>\n        <span class=\"nx\">tps<\/span><span class=\"p\">,<\/span>\n        <span class=\"nx\">numTokens<\/span><span class=\"p\">,<\/span>\n      <span class=\"p\">});<\/span>\n    <span class=\"p\">};<\/span>\n\n    <span class=\"kd\">const<\/span> <span class=\"nx\">streamer<\/span> <span class=\"o\">=<\/span> <span class=\"k\">new<\/span> <span class=\"nc\">TextStreamer<\/span><span class=\"p\">(<\/span><span class=\"nx\">processor<\/span><span class=\"p\">.<\/span><span class=\"nx\">tokenizer<\/span><span class=\"p\">,<\/span> <span class=\"p\">{<\/span>\n      <span class=\"na\">skip_prompt<\/span><span class=\"p\">:<\/span> <span class=\"kc\">true<\/span><span class=\"p\">,<\/span>\n      <span class=\"na\">skip_special_tokens<\/span><span class=\"p\">:<\/span> <span class=\"kc\">true<\/span><span class=\"p\">,<\/span>\n      <span class=\"nx\">callback_function<\/span><span class=\"p\">,<\/span>\n      <span class=\"nx\">token_callback_function<\/span><span class=\"p\">,<\/span>\n    <span class=\"p\">});<\/span>\n\n    <span class=\"c1\">\/\/ Generate response<\/span>\n    <span class=\"kd\">const<\/span> <span class=\"nx\">outputs<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nx\">model<\/span><span class=\"p\">.<\/span><span class=\"nf\">generate<\/span><span class=\"p\">({<\/span>\n      <span class=\"p\">...<\/span><span class=\"nx\">inputs<\/span><span class=\"p\">,<\/span>\n      <span class=\"na\">max_new_tokens<\/span><span class=\"p\">:<\/span> <span class=\"nx\">MAX_NEW_TEXT_TOKENS<\/span><span class=\"p\">,<\/span>\n      <span class=\"na\">do_sample<\/span><span class=\"p\">:<\/span> <span class=\"kc\">false<\/span><span class=\"p\">,<\/span>\n      <span class=\"nx\">streamer<\/span><span class=\"p\">,<\/span>\n      <span class=\"nx\">stopping_criteria<\/span><span class=\"p\">,<\/span>\n    <span class=\"p\">});<\/span>\n  <span class=\"p\">}<\/span>\n\n  <span class=\"c1\">\/\/ Tell the main thread we are done<\/span>\n  <span class=\"nb\">self<\/span><span class=\"p\">.<\/span><span class=\"nf\">postMessage<\/span><span class=\"p\">({<\/span>\n    <span class=\"na\">status<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">complete<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n  <span class=\"p\">});<\/span>\n<span class=\"p\">}<\/span>\n\n<span class=\"k\">async<\/span> <span class=\"kd\">function<\/span> <span class=\"nf\">load<\/span><span class=\"p\">()<\/span> <span class=\"p\">{<\/span>\n  <span class=\"nb\">self<\/span><span class=\"p\">.<\/span><span class=\"nf\">postMessage<\/span><span class=\"p\">({<\/span>\n    <span class=\"na\">status<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">loading<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n    <span class=\"na\">data<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">Loading model...<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\n  <span class=\"p\">});<\/span>\n\n  <span class=\"c1\">\/\/ Load the pipeline and save it for future use.<\/span>\n  <span class=\"kd\">const<\/span> <span class=\"p\">[<\/span><span class=\"nx\">processor<\/span><span class=\"p\">,<\/span> <span class=\"nx\">model<\/span><span class=\"p\">]<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nx\">ImageGenerationPipeline<\/span><span class=\"p\">.<\/span><span class=\"nf\">getInstance<\/span><span class=\"p\">((<\/span><span class=\"nx\">x<\/span><span class=\"p\">)<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\n    <span class=\"c1\">\/\/ We also add a progress callback to the pipeline so that we can<\/span>\n    <span class=\"c1\">\/\/ track model loading.<\/span>\n    <span class=\"nb\">self<\/span><span class=\"p\">.<\/span><span class=\"nf\">postMessage<\/span><span class=\"p\">(<\/span><span class=\"nx\">x<\/span><span class=\"p\">);<\/span>\n  <span class=\"p\">});<\/span>\n\n  <span class=\"nb\">self<\/span><span class=\"p\">.<\/span><span class=\"nf\">postMessage<\/span><span class=\"p\">({<\/span> <span class=\"na\">status<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">ready<\/span><span class=\"dl\">\"<\/span> <span class=\"p\">});<\/span>\n<span class=\"p\">}<\/span>\n\n<span class=\"c1\">\/\/ Listen for messages from the main thread<\/span>\n<span class=\"nb\">self<\/span><span class=\"p\">.<\/span><span class=\"nf\">addEventListener<\/span><span class=\"p\">(<\/span><span class=\"dl\">\"<\/span><span class=\"s2\">message<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span> <span class=\"k\">async <\/span><span class=\"p\">(<\/span><span class=\"nx\">e<\/span><span class=\"p\">)<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\n  <span class=\"kd\">const<\/span> <span class=\"p\">{<\/span> <span class=\"nx\">type<\/span><span class=\"p\">,<\/span> <span class=\"nx\">data<\/span> <span class=\"p\">}<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">e<\/span><span class=\"p\">.<\/span><span class=\"nx\">data<\/span><span class=\"p\">;<\/span>\n\n  <span class=\"k\">switch <\/span><span class=\"p\">(<\/span><span class=\"nx\">type<\/span><span class=\"p\">)<\/span> <span class=\"p\">{<\/span>\n    <span class=\"k\">case<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">check<\/span><span class=\"dl\">\"<\/span><span class=\"p\">:<\/span>\n      <span class=\"nf\">check<\/span><span class=\"p\">();<\/span>\n      <span class=\"k\">break<\/span><span class=\"p\">;<\/span>\n\n    <span class=\"k\">case<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">load<\/span><span class=\"dl\">\"<\/span><span class=\"p\">:<\/span>\n      <span class=\"nf\">load<\/span><span class=\"p\">();<\/span>\n      <span class=\"k\">break<\/span><span class=\"p\">;<\/span>\n\n    <span class=\"k\">case<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">generate<\/span><span class=\"dl\">\"<\/span><span class=\"p\">:<\/span>\n      <span class=\"nx\">stopping_criteria<\/span><span class=\"p\">.<\/span><span class=\"nf\">reset<\/span><span class=\"p\">();<\/span>\n      <span class=\"nf\">generate<\/span><span class=\"p\">(<\/span><span class=\"nx\">data<\/span><span class=\"p\">);<\/span>\n      <span class=\"k\">break<\/span><span class=\"p\">;<\/span>\n\n    <span class=\"k\">case<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">interrupt<\/span><span class=\"dl\">\"<\/span><span class=\"p\">:<\/span>\n      <span class=\"nx\">stopping_criteria<\/span><span class=\"p\">.<\/span><span class=\"nf\">interrupt<\/span><span class=\"p\">();<\/span>\n      <span class=\"k\">break<\/span><span class=\"p\">;<\/span>\n\n    <span class=\"k\">case<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">reset<\/span><span class=\"dl\">\"<\/span><span class=\"p\">:<\/span>\n      <span class=\"nx\">stopping_criteria<\/span><span class=\"p\">.<\/span><span class=\"nf\">reset<\/span><span class=\"p\">();<\/span>\n      <span class=\"k\">break<\/span><span class=\"p\">;<\/span>\n  <span class=\"p\">}<\/span>\n<span class=\"p\">});<\/span> \n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"%D8%A7%D8%AC%D8%B1%D8%A7%DB%8C_%D9%86%D8%B3%D8%AE%D9%87_%DB%8C_%D9%86%D9%85%D8%A7%DB%8C%D8%B4%DB%8C\"><\/span>\n<p>  <strong>\u0627\u062c\u0631\u0627\u06cc \u0646\u0633\u062e\u0647 \u06cc \u0646\u0645\u0627\u06cc\u0634\u06cc<\/strong><br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0646\u0633\u062e\u0647 \u06cc \u0646\u0645\u0627\u06cc\u0634\u06cc \u0632\u0646\u062f\u0647 \u0631\u0627 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f: <strong>\u0646\u0633\u062e\u0647 \u06cc \u0646\u0645\u0627\u06cc\u0634\u06cc \u0645\u0631\u0648\u0631\u06af\u0631 Deepseek Janus-Pro-1B<\/strong>\u0628\u0634\u0631  <\/p>\n<p><strong>\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc \u0646\u0633\u062e\u0647 \u06cc \u0646\u0645\u0627\u06cc\u0634\u06cc<\/strong>:  <\/p>\n<ul>\n<li>\u0628\u0647 \u0631\u0648\u0632\u0631\u0633\u0627\u0646\u06cc \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a \u062f\u0631 \u0632\u0645\u0627\u0646 \u0648\u0627\u0642\u0639\u06cc \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0648 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u0645\u062f\u0644.\n<\/li>\n<li>\u0646\u0633\u0644 \u0634\u06cc\u0627\u0631 WebGPU (\u0628\u0647 Chrome 113+ \u06cc\u0627 Edge 113+ \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u062f).\n<\/li>\n<li>\u0627\u062c\u0631\u0627\u06cc \u06a9\u0627\u0645\u0644 \u0637\u0631\u0641 \u0645\u0634\u062a\u0631\u06cc-\u0647\u06cc\u0686 \u062f\u0627\u062f\u0647 \u0627\u06cc \u0628\u0647 \u0633\u0631\u0648\u0631\u0647\u0627\u06cc \u062e\u0627\u0631\u062c\u06cc \u0627\u0631\u0633\u0627\u0644 \u0646\u0645\u06cc \u0634\u0648\u062f.\n<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%DA%86%D8%A7%D9%84%D8%B4_%D9%87%D8%A7_%D9%88_%D8%A8%D9%87%DB%8C%D9%86%D9%87_%D8%B3%D8%A7%D8%B2%DB%8C_%D9%87%D8%A7\"><\/span>\n<p>  <strong>\u0686\u0627\u0644\u0634 \u0647\u0627 \u0648 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0647\u0627<\/strong><br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ol>\n<li>\n<strong>\u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u0645\u062f\u0644<\/strong>: \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u0627\u0646\u062f\u0627\u0632\u0647 \u0648 \u0628\u0647\u0628\u0648\u062f \u0633\u0631\u0639\u062a \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0628\u0647 8 \u0628\u06cc\u062a\u06cc \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u0645\u06cc \u0634\u0648\u062f.\n<\/li>\n<li>\n<strong>\u0645\u062f\u06cc\u0631\u06cc\u062a \u062d\u0627\u0641\u0638\u0647<\/strong>: \u06a9\u0627\u0631\u06af\u0631\u0627\u0646 \u0648\u0628 \u0627\u0632 \u0627\u0646\u062c\u0645\u0627\u062f UI \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u0627\u0633\u062a\u0646\u0628\u0627\u0637 \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0645\u06cc \u06a9\u0646\u0646\u062f.\n<\/li>\n<li>\n<strong>\u0633\u0627\u0632\u06af\u0627\u0631\u06cc \u0645\u0631\u0648\u0631\u06af\u0631<\/strong>: WebGPU \u0647\u0646\u0648\u0632 \u0647\u0645 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0627\u0633\u062a \u0627\u0645\u0627 \u0628\u0631\u0627\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645 \u0627\u0633\u062a.\n<\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"%D9%BE%D8%A7%DB%8C%D8%A7%D9%86\"><\/span>\n<p>  <strong>\u067e\u0627\u06cc\u0627\u0646<\/strong><br \/>\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u062c\u0631\u0627\u06cc Deepseek Janus-Pro-1B \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631 \u067e\u062a\u0627\u0646\u0633\u06cc\u0644 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0637\u0631\u0641 \u0645\u0634\u062a\u0631\u06cc \u0631\u0627 \u0628\u0647 \u0646\u0645\u0627\u06cc\u0634 \u0645\u06cc \u06af\u0630\u0627\u0631\u062f. \u0628\u0627 \u062f\u0627\u0634\u062a\u0646 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f Transformers.js \u0648 WebGPU \u060c \u0645\u062f\u0644 \u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0647\u0645 \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0636\u0645\u0646 \u062d\u0641\u0638 \u062d\u0631\u06cc\u0645 \u0634\u062e\u0635\u06cc \u06a9\u0627\u0631\u0628\u0631 \u060c \u062f\u0631 \u0645\u062d\u06cc\u0637 \u0647\u0627\u06cc \u0645\u062d\u062f\u0648\u062f \u06a9\u0627\u0631 \u06a9\u0646\u0646\u062f.  <\/p>\n<p><strong>\u0645\u0631\u0627\u062d\u0644 \u0628\u0639\u062f\u06cc<\/strong>:  <\/p>\n<ul>\n<li>\u0622\u0632\u0645\u0627\u06cc\u0634 \u0628\u0627 \u067e\u06cc\u0634 \u0646\u0648\u06cc\u0633 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0648 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u0645\u062f\u0644.\n<\/li>\n<li>\u062a\u0646\u0638\u06cc\u0645 \u062f\u0642\u06cc\u0642 \u0645\u062f\u0644 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0647\u0627\u06cc \u062e\u0627\u0635 \u062f\u0627\u0645\u0646\u0647.\n<\/li>\n<li>\u0646\u0638\u0627\u0631\u062a \u0628\u0631 \u067e\u0630\u06cc\u0631\u0634 WebGPU \u0628\u0631\u0627\u06cc \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0627\u0632 \u0633\u0627\u0632\u06af\u0627\u0631\u06cc \u06af\u0633\u062a\u0631\u062f\u0647 \u062a\u0631.\n<\/li>\n<\/ul>\n<p>\u0628\u0631\u0627\u06cc \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u060c \u0627\u06cc\u0646 \u06cc\u06a9 \u062a\u063a\u06cc\u06cc\u0631 \u0647\u06cc\u062c\u0627\u0646 \u0627\u0646\u06af\u06cc\u0632 \u0628\u0647 \u0633\u0645\u062a \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u063a\u06cc\u0631\u0645\u062a\u0645\u0631\u06a9\u0632 \u0648 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0627\u0631\u0628\u0631 \u0645\u062d\u0648\u0631 \u0627\u0633\u062a. \u0628\u0647 \u06a9\u062f \u0645\u062b\u0627\u0644 \u0634\u06cc\u0631\u062c\u0647 \u0628\u0632\u0646\u06cc\u062f \u0648 \u0634\u0631\u0648\u0639 \u0628\u0647 \u0633\u0627\u062e\u062a\u0646 \u06a9\u0646\u06cc\u062f! \ud83d\ude80<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u0627\u0645\u06a9\u0627\u0646 \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0632\u0628\u0627\u0646 (LLMS) \u0628\u0647 \u0637\u0648\u0631 \u0645\u0633\u062a\u0642\u06cc\u0645 \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631 \u0627\u0645\u06a9\u0627\u0646\u0627\u062a \u062c\u062f\u06cc\u062f\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc AI \u062f\u0631 \u06a9\u0646\u0627\u0631 \u0645\u0634\u062a\u0631\u06cc \u062d\u0641\u0638 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. \u062f\u0631 \u0627\u06cc\u0646 \u067e\u0633\u062a \u0648\u0628\u0644\u0627\u06af \u060c \u0646\u062d\u0648\u0647 \u0627\u062c\u0631\u0627\u06cc \u0622\u0646 \u0631\u0627 \u06a9\u0634\u0641 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f Deepseek Janus-Pro-1B\u060c \u06cc\u06a9 \u0645\u062f\u0644 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u062a\u0648\u0644\u06cc\u062f \u0645\u062a\u0646 \u0628\u0647 \u062a\u0635\u0648\u06cc\u0631 \u060c \u06a9\u0627\u0645\u0644\u0627\u064b \u062f\u0631 \u0645\u0631\u0648\u0631\u06af\u0631 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 WebGPU &hellip;<\/p>\n","protected":false},"author":2,"featured_media":94937,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[339],"tags":[],"class_list":["post-94936","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dev"],"_links":{"self":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/94936","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/comments?post=94936"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/94936\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/94937"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=94936"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=94936"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=94936"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}