[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-how-to-migrate-from-sora-2-in-2026-zh":3,"article-related-how-to-migrate-from-sora-2-in-2026-zh":30,"series-tools-c8b244e2-00b3-44f1-b418-53eda4350cb4":83},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":23,"views":27,"created_at":28,"published_at":29,"topic_cluster_id":11},"c8b244e2-00b3-44f1-b418-53eda4350cb4","how-to-migrate-from-sora-2-in-2026-zh","2026 如何遷移 Sora 2","\u003Cp data-speakable=\"summary\">把 \u003Ca href=\"\u002Ftag\u002Fsora\">Sora\u003C\u002Fa> 2 的影片工作流遷移到新模型，並在 \u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa> 停用期限前完成備份、測試與替換。\u003C\u002Fp>\u003Cp>這篇給還在用 Sora 2 做文字轉影片的開發者、產品團隊與創作者。照著做完，你會拿到可移植的提示詞格式、可替換的模型清單、可執行的測試計畫，以及一份可回復的資產備份。\u003C\u002Fp>\u003Cp>這份操作指南把重點放在兩個期限：Sora app 於 2026 年 4 月 26 日關閉，Sora API 於 2026 年 9 月 24 日關閉。你也會用到官方文件 \u003Ca href=\"https:\u002F\u002Fplatform.openai.com\u002Fdocs\" target=\"_blank\" rel=\"noreferrer\">OpenAI API docs\u003C\u002Fa> 與 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-openapi\" target=\"_blank\" rel=\"noreferrer\">OpenAI GitHub repository\u003C\u002Fa>，用來核對請求格式與替換方案。\u003C\u002Fp>\u003Ch2>開始之前\u003C\u002Fh2>\u003Cul>\u003Cli>OpenAI 帳號，能存取 Sora app 資料與 API 使用紀錄\u003C\u002Fli>\u003Cli>至少一組替代影片模型 API key，例如 Google Cloud Vertex AI、ByteDance partner access 或 Luma Labs\u003C\u002Fli>\u003Cli>Node 20+ 或 Python 3.11+\u003C\u002Fli>\u003Cli>Git 2.40+\u003C\u002Fli>\u003Cli>一個匯出儲存目標，例如 S3、GCS 或本機加密備份\u003C\u002Fli>\u003Cli>一份試算表或 issue tracker，用來記錄提示詞差異、畫面比例限制與輸出品質\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Step 1: 匯出 Sora 資產\u003C\u002Fh2>\u003Cp>這一步的目的，是先把會消失的內容完整保留下來。請先匯出生成影片、提示詞歷史、專案中繼資料，以及你想保留的 remix 或社群內容，這是資料保存，不是模型替換。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778137244364-kchy.png\" alt=\"2026 如何遷移 Sora 2\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>把所有內容下載到固定日期資料夾，之後才能對照不同模型的輸出。\u003C\u002Fp>\u003Cpre>\u003Ccode>mkdir -p sora-export\u002F2026-04-archive\n# 下載 Sora 帳號內的 clips、prompts、metadata\n# 全部存到 sora-export\u002F2026-04-archive\u002F\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到一個完整封存資料夾，裡面有檔名、時間戳與可重用的提示詞文字。\u003C\u002Fp>\u003Ch2>Step 2: 轉成模型無關提示詞\u003C\u002Fh2>\u003Cp>這一步的目的，是讓提示詞能跨供應商使用。Sora 2 可能容許較短提示詞或不同的場景描述方式，所以要把每一則提示詞改寫成結構化欄位：主體、動作、光線、鏡位、長度、畫面比例與音訊需求。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778137247330-wavj.png\" alt=\"2026 如何遷移 Sora 2\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>請用固定模板，這樣你就能在不重寫創意意圖的前提下切換模型。\u003C\u002Fp>\u003Cpre>\u003Ccode>{\n  \"subject\": \"product demo on a desk\",\n  \"motion\": \"slow push-in\",\n  \"lighting\": \"soft studio light\",\n  \"camera\": \"24mm cinematic\",\n  \"duration\": 8,\n  \"aspect_ratio\": \"16:9\",\n  \"audio\": false\n}\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到每一則 Sora 提示詞都被映射到同一種結構，這會讓你更容易用同一份 brief 測試 Veo 3、Seedance 2.0 或 Dream Machine。\u003C\u002Fp>\u003Ch2>Step 3: 建立替代模型對照表\u003C\u002Fh2>\u003Cp>這一步的目的，是讓每種工作流對應到最合適的替代模型，而不是硬把一個模型當萬用解。需要音訊時用 Veo 3，重視速度與行動端流程時用 Seedance 2.0，需要精緻靜態轉影片動畫時用 Dream Machine；若要做多模態實驗，也可以保留 VideoPoet。\u003C\u002Fp>\u003Cp>請替團隊建立一張路由表，讓每種請求都有預設目標模型。\u003C\u002Fp>\u003Cpre>\u003Ccode>Use case -> default model\n- Social clip with audio -> Veo 3\n- Fast mobile-first output -> Seedance 2.0\n- Cinematic still animation -> Dream Machine\n- Multi-modal prototype -> VideoPoet\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到每一種內容類型都有明確模型選擇，這會減少正式上線前的試錯時間。\u003C\u002Fp>\u003Ch2>Step 4: 執行並排品質測試\u003C\u002Fh2>\u003Cp>這一步的目的，是量化各模型對同一提示詞的解讀差異。請把同一份結構化提示詞送進每個候選模型，對照場景連貫性、提示詞遵循度、動作穩定性與瑕疵率；如果你的 Sora 工作流依賴片段延伸，先測延伸長度與時間一致性。\u003C\u002Fp>\u003Cp>錄影與輸出檔名要一致，這樣審查者才能逐格比較。\u003C\u002Fp>\u003Cpre>\u003Ccode>prompt_id: ad-014\nmodels: sora2, veo3, seedance2, dreammachine\nchecks: continuity, lighting, motion, aspect_ratio, audio\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到每個模型最適合的任務，並能在 review note 或 tic\u003Ca href=\"\u002Fnews\u002Foutlier-tokens-diffusion-transformers-dsr-zh\">ke\u003C\u002Fa>t 中清楚寫出取捨。\u003C\u002Fp>\u003Ch2>Step 5: 更新應用與 fallback 邏輯\u003C\u002Fh2>\u003Cp>這一步的目的，是讓正式環境切換時可控。請把 Sora \u003Ca href=\"\u002Ftag\u002Fapi\">API\u003C\u002Fa> 呼叫改成 p\u003Ca href=\"\u002Fnews\u002Fgrokability-five-inequalities-grok-assisted-math-zh\">ro\u003C\u002Fa>vider abstraction，加上 timeout 與 retry，並定義主要模型失效時的 fallback 順序。如果產品依賴使用者資產，請在 4 月 app 關閉前加下載提醒，並在 9 月 API 截止前提供最後一次匯出流程。\u003C\u002Fp>\u003Cp>金鑰請放在環境變數，provider 名稱也要可設定，這樣日後換供應商不用改程式。\u003C\u002Fp>\u003Cpre>\u003Ccode>VIDEO_PROVIDER=veo3\nVIDEO_FALLBACK=seedance2,dreammachine\nVIDEO_TIMEOUT_MS=120000\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到應用程式已經透過新 provider 產生影片，並且在第一個模型失敗時仍能進入受控 fallback。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>指標\u003C\u002Fth>\u003Cth>基準／優化前\u003C\u002Fth>\u003Cth>結果／優化後\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>App 停用期限\u003C\u002Ftd>\u003Ctd>Sora app 維持可用\u003C\u002Ftd>\u003Ctd>2026-04-26 app 關閉\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>API 停用期限\u003C\u002Ftd>\u003Ctd>Sora API 維持可用\u003C\u002Ftd>\u003Ctd>2026-09-24 API 關閉\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>替換策略\u003C\u002Ftd>\u003Ctd>單一供應商工作流\u003C\u002Ftd>\u003Ctd>跨 Veo 3、Seedance 2.0、Dream Machine 的模型無關路由\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>常見錯誤\u003C\u002Fh2>\u003Cul>\u003Cli>在停用前沒有完整匯出。修法：先排程下載 clips、prompts 與 metadata，再到第二台機器驗證備份能開啟。\u003C\u002Fli>\u003Cli>直接把 Sora 提示詞貼到其他模型。修法：先轉成結構化欄位，再依各供應商調整光線、動作與長度。\u003C\u002Fli>\u003Cli>跳過並排測試。修法：至少把同一提示詞送進兩個替代模型，並用同一套 rubric 評分後，再切正式流量。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>接下來可以看什麼\u003C\u002Fh2>\u003Cp>等遷移穩定後，下一步可以建立供應商無關的提示詞資料庫、為每個新模型加自動品質檢查，並持續追蹤 OpenAI、\u003Ca href=\"\u002Ftag\u002Fgoogle-deepmind\">Google DeepMind\u003C\u002Fa>、ByteDance 與 Lu\u003Ca href=\"\u002Fnews\u002Fwhy-gpt-image-2-production-safety-matters-zh\">ma\u003C\u002Fa> Labs 的更新，讓你的影片管線保持可替換。\u003C\u002Fp>","把 Sora 2 的影片工作流遷移到新模型，並在 OpenAI 停用期限前完成備份、測試與替換。","resource.digen.ai","https:\u002F\u002Fresource.digen.ai\u002Fsora-2-openai-shutdown-guide-2026\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778137244364-kchy.png","tools","zh","52b5b347-44cb-4fc0-a04a-6c6ed4557e5f",[17,18,19,20,21,22],"Sora 2","OpenAI API","video generation","model migration","Node 20+","fallback logic",[24,25,26],"先完成 Sora 資產匯出，再處理模型替換。","把提示詞改成結構化格式，才能跨模型重用。","用並排測試與 fallback 邏輯降低上線風險。",5,"2026-05-07T07:00:29.44463+00:00","2026-05-07T07:00:29.427+00:00",{"tags":31,"relatedLang":42,"relatedPosts":46},[32,34,36,38,40],{"name":18,"slug":33},"openai-api",{"name":20,"slug":35},"model-migration",{"name":17,"slug":37},"sora-2",{"name":19,"slug":39},"video-generation",{"name":21,"slug":41},"node-20",{"id":15,"slug":43,"title":44,"language":45},"how-to-migrate-from-sora-2-in-2026-en","How to Migrate from Sora 2 in 2026","en",[47,53,59,65,71,77],{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"91822854-0010-478e-b70c-6a624d039703","cloudflare-turns-startup-traffic-into-a-moat-zh","Cloudflare 讓流量變護城河","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780590804649-xc2z.png","2026-06-04T16:32:50.96702+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"6ea3977e-ea7f-4d71-9472-08b512f81593","ai-code-review-tools-catch-hard-bugs-zh","AI code review 讓你抓到硬 bug","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780582701702-jnoi.png","2026-06-04T14:17:50.313258+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"0342ff17-feea-4e43-81ff-d12c43cc93c0","claude-partner-network-learning-path-launches-zh","Claude 合作夥伴課程上線","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780578178111-1za9.png","2026-06-04T13:02:27.319581+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"1a92ac0a-75ea-4877-874d-4a309cd0085b","nvidia-research-gpu-template-zh","NVIDIA 研究頁把 GPU 資源變模板","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780567412863-e8oq.png","2026-06-04T10:02:58.043845+00:00",{"id":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"category":13},"3ead09ec-5656-4165-9bb0-f602add3c409","qdrant-filter-first-rag-design-decoded-zh","Qdrant 讓 RAG 先過濾再找相似","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780566519640-bdds.png","2026-06-04T09:47:59.450347+00:00",{"id":78,"slug":79,"title":80,"cover_image":81,"image_url":81,"created_at":82,"category":13},"7b5e6965-307e-4492-bf65-d922cd7818ad","anthropic-code-review-tool-ai-generated-code-zh","Anthropic 讓 AI 程式變可審","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780563813320-5wc7.png","2026-06-04T09:02:56.999212+00:00",[84,89,94,99,104,109,114,119,124,129],{"id":85,"slug":86,"title":87,"created_at":88},"855cd52f-6fab-46cc-a7c1-42195e8a0de4","surepath-real-time-mcp-policy-controls-zh","SurePath 推出即時 MCP 政策控管","2026-03-26T07:57:40.77233+00:00",{"id":90,"slug":91,"title":92,"created_at":93},"9b19ab54-edef-4dbd-9ce4-a51e4bae4ebb","mcp-in-2026-the-ai-tool-layer-teams-use-zh","2026 年 MCP：團隊真的在用的 AI 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