[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-text-to-image":3},{"tag":4,"articles":9},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":8},"5511a43b-617c-40f3-b061-9bb4157463ad","text-to-image",1,null,[10],{"id":11,"slug":12,"title":13,"summary":14,"category":15,"image_url":16,"cover_image":16,"language":17,"created_at":18},"d10721ce-db28-498a-b0ca-21e10ed35d07","normalizing-trajectory-models-4-step-generation-zh","NTM 讓 4 步生成保留精確似然","NTM 把少步生成改寫成精確似然的 flow 模型，主打四步就能產生不錯的文字生成影像結果，同時保留可訓練、可分析的機率式框架。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778480456312-47pq.png","zh","2026-05-11T06:20:33.310402+00:00"]