{
  "aboutHtml": "<p>Seedream 5.0 Pro 是 ByteDance Seed 面向專業視覺工作的多模態圖片創作模型。它結合新圖生成與依參考資料編輯，重視設計結構，也重視外觀。開發商以四項優勢介紹此版本：高資訊密度圖像、互動式編輯、寫實影像，以及原生多語生成。文件記載的生成介面會回傳一張完成的圖片；相關圖片序列、搜尋與串流輸出，屬於其他版本的工作流程。提示最佳化提供 standard 與 fast 模式，其中 fast 以部分品質換取較短的生成時間。</p><p>在一張圖片中呈現複雜資訊 Pro 可以將內容豐富的需求說明轉成資訊圖、海報或視覺介面概念。請先準備事實內容，再提出風格指令：核准的標籤、數值、關係，以及資訊的閱讀順序。接著指定構圖、主要焦點、字體配置與輔助插畫。以博物館展示為例，可提供展品標題與三段核准說明，要求在各說明旁放置一幅插畫，並指定哪個標題應最突出。請將完成的視覺層級與文字逐項對照需求，尤其要檢查較小的輔助文字。</p><p>這類輸出適合課堂視覺教材、技術說明、簡報圖像與早期產品版面探索。生成的介面圖片有助於溝通視覺構想；若要進一步開發成可運作的產品，請將實際控制項與文字保留在可編輯的設計來源中。製作資訊圖時，請將原始表格或筆記與圖片一起保存，讓設計師能核查及修正個別事實。</p><p>以空間指引進行局部修改 互動式編輯會在指令中加入位置資訊。請標示或選取相關區域，說明修改內容，並指出周邊哪些特徵必須保留。製造商說明，可使用點、套索或方框選取，以及草圖來傳達位置。製作室內概念圖時，可只標示椅子並要求更換材質，同時保留鏡頭位置、地板、牆面及鄰近陰影。修改產品照片時，請指出標籤區域，而不是要求全面重新設計整個物件。</p><p>Pro 的編輯能力包括替換顏色與材質、新增或移除物件、根據草圖渲染，以及結合多份參考中的元素。請為各參考指定用途：基礎構圖、替換物件、材質或配色。例如，提供房間、布料樣本及椅子參考，要求將套用該布料的椅子放在標示位置。請將成果與每份參考比較，注意比例、接合位置及光照。使用粗略草圖時，請標示各區域，並告訴模型繪製的標記是否應留在最終圖片中。</p><p>分離與重新組合視覺元素 開發商示範將圖片拆分為獨立圖層，包含透明元素與恢復的背景內容。這適合需要進一步重新配置的構圖：指出要分離的標題、主體與裝飾，再於設計工具中檢查各產出元素。請保留原圖供比較。在移動或替換元素之前，先檢查邊緣、缺少的細節，以及原本被主體遮住的背景區域。圖層分離是獨立的圖片處理流程；要求多張彼此無關的完成圖片，屬於另一種任務。在開發商的圖層流程中，需提供一張 JPEG 或 PNG 圖片：最大 30 MB、262,144–36,000,000 個像素，長寬比為 1:16–16:1。成果包含基礎圖片及最多 16 個具有 alpha 的 PNG 圖層，另附各圖層的名稱、說明、堆疊順序與位置框。圖層尺寸可選 1K、1.5K、2K，或保留來源長寬比的自動設定。</p><p>寫實光線、材質與肖像 Pro 著重於攝影與電腦生成影像，包括光照、表面特性及皮膚紋理。實用的需求應描述實際場景，而不只是堆疊形容詞：主體、鏡頭位置、主光源、背景，以及應反射或透射光線的材質。製作家具概念圖時，請指定框架是髮絲紋金屬、透明玻璃或塗漆木材，並說明光照。處理肖像時，請描述預期修改，並保留重要的臉部特徵與姿勢。請以最終觀看尺寸檢查皮膚、手部、反射與材質交界。製造商的透明背景選項，適用於編輯恰好一個、原本就具有 alpha 通道的輸入；透明輸出必須為 PNG。這與一般不透明圖片生成是不同的功能。</p><p>多語視覺內容 模型支援以多種常用語言原生撰寫提示與呈現文字，包括中文、英文、法文、德文、俄文、日文、韓文、西班牙文與阿拉伯文。請提供核准的確切文字，指定語言與閱讀方向，並標示含文字的區域。製作在地化海報時，請維持版面與圖像一致，同時分別提供標題與輔助文案。請該語言的讀者檢查成果，包括重音符號、連接字形、換行及小標籤。</p><p>準備實用的交付物 請從預定圖片出發：高資訊密度圖像、在地化海報、視覺概念，或精確修訂的來源圖片。提供該工作所需的內容與參考，再將成果與來源素材及要求的修改比較。製造商的生成流程最多接受 10 個參考，格式為 JPEG、PNG、WebP、BMP、TIFF、GIF、HEIC 或 HEIF，每個最大 30 MB；兩邊皆須大於 14 個像素，總像素為 196–36,000,000，長寬比為 1:16 到 16:1。它回傳 JPEG 或 PNG，輸出可選 1K、1.5K 與 2K，預設為 2K；自訂尺寸需介於 921,600–4,624,220 個總像素，且維持相同長寬比範圍。圖片成果可以是編碼資料，或在 24 小時內到期的下載連結。製造商指出，細字呈現及像素層級編輯一致性仍是持續改善的方向。即使整體構圖令人信服，也請仔細檢查密集標籤與應保持不變的區域。</p>",
  "aboutText": "Seedream 5.0 Pro 是 ByteDance Seed 面向專業視覺工作的多模態圖片創作模型。它結合新圖生成與依參考資料編輯，重視設計結構，也重視外觀。開發商以四項優勢介紹此版本：高資訊密度圖像、互動式編輯、寫實影像，以及原生多語生成。文件記載的生成介面會回傳一張完成的圖片；相關圖片序列、搜尋與串流輸出，屬於其他版本的工作流程。提示最佳化提供 standard 與 fast 模式，其中 fast 以部分品質換取較短的生成時間。\n\n在一張圖片中呈現複雜資訊\nPro 可以將內容豐富的需求說明轉成資訊圖、海報或視覺介面概念。請先準備事實內容，再提出風格指令：核准的標籤、數值、關係，以及資訊的閱讀順序。接著指定構圖、主要焦點、字體配置與輔助插畫。以博物館展示為例，可提供展品標題與三段核准說明，要求在各說明旁放置一幅插畫，並指定哪個標題應最突出。請將完成的視覺層級與文字逐項對照需求，尤其要檢查較小的輔助文字。\n\n這類輸出適合課堂視覺教材、技術說明、簡報圖像與早期產品版面探索。生成的介面圖片有助於溝通視覺構想；若要進一步開發成可運作的產品，請將實際控制項與文字保留在可編輯的設計來源中。製作資訊圖時，請將原始表格或筆記與圖片一起保存，讓設計師能核查及修正個別事實。\n\n以空間指引進行局部修改\n互動式編輯會在指令中加入位置資訊。請標示或選取相關區域，說明修改內容，並指出周邊哪些特徵必須保留。製造商說明，可使用點、套索或方框選取，以及草圖來傳達位置。製作室內概念圖時，可只標示椅子並要求更換材質，同時保留鏡頭位置、地板、牆面及鄰近陰影。修改產品照片時，請指出標籤區域，而不是要求全面重新設計整個物件。\n\nPro 的編輯能力包括替換顏色與材質、新增或移除物件、根據草圖渲染，以及結合多份參考中的元素。請為各參考指定用途：基礎構圖、替換物件、材質或配色。例如，提供房間、布料樣本及椅子參考，要求將套用該布料的椅子放在標示位置。請將成果與每份參考比較，注意比例、接合位置及光照。使用粗略草圖時，請標示各區域，並告訴模型繪製的標記是否應留在最終圖片中。\n\n分離與重新組合視覺元素\n開發商示範將圖片拆分為獨立圖層，包含透明元素與恢復的背景內容。這適合需要進一步重新配置的構圖：指出要分離的標題、主體與裝飾，再於設計工具中檢查各產出元素。請保留原圖供比較。在移動或替換元素之前，先檢查邊緣、缺少的細節，以及原本被主體遮住的背景區域。圖層分離是獨立的圖片處理流程；要求多張彼此無關的完成圖片，屬於另一種任務。在開發商的圖層流程中，需提供一張 JPEG 或 PNG 圖片：最大 30 MB、262,144–36,000,000 個像素，長寬比為 1:16–16:1。成果包含基礎圖片及最多 16 個具有 alpha 的 PNG 圖層，另附各圖層的名稱、說明、堆疊順序與位置框。圖層尺寸可選 1K、1.5K、2K，或保留來源長寬比的自動設定。\n\n寫實光線、材質與肖像\nPro 著重於攝影與電腦生成影像，包括光照、表面特性及皮膚紋理。實用的需求應描述實際場景，而不只是堆疊形容詞：主體、鏡頭位置、主光源、背景，以及應反射或透射光線的材質。製作家具概念圖時，請指定框架是髮絲紋金屬、透明玻璃或塗漆木材，並說明光照。處理肖像時，請描述預期修改，並保留重要的臉部特徵與姿勢。請以最終觀看尺寸檢查皮膚、手部、反射與材質交界。製造商的透明背景選項，適用於編輯恰好一個、原本就具有 alpha 通道的輸入；透明輸出必須為 PNG。這與一般不透明圖片生成是不同的功能。\n\n多語視覺內容\n模型支援以多種常用語言原生撰寫提示與呈現文字，包括中文、英文、法文、德文、俄文、日文、韓文、西班牙文與阿拉伯文。請提供核准的確切文字，指定語言與閱讀方向，並標示含文字的區域。製作在地化海報時，請維持版面與圖像一致，同時分別提供標題與輔助文案。請該語言的讀者檢查成果，包括重音符號、連接字形、換行及小標籤。\n\n準備實用的交付物\n請從預定圖片出發：高資訊密度圖像、在地化海報、視覺概念，或精確修訂的來源圖片。提供該工作所需的內容與參考，再將成果與來源素材及要求的修改比較。製造商的生成流程最多接受 10 個參考，格式為 JPEG、PNG、WebP、BMP、TIFF、GIF、HEIC 或 HEIF，每個最大 30 MB；兩邊皆須大於 14 個像素，總像素為 196–36,000,000，長寬比為 1:16 到 16:1。它回傳 JPEG 或 PNG，輸出可選 1K、1.5K 與 2K，預設為 2K；自訂尺寸需介於 921,600–4,624,220 個總像素，且維持相同長寬比範圍。圖片成果可以是編碼資料，或在 24 小時內到期的下載連結。製造商指出，細字呈現及像素層級編輯一致性仍是持續改善的方向。即使整體構圖令人信服，也請仔細檢查密集標籤與應保持不變的區域。",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">ByteDance Seed: Seedream 5.0 Pro</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"關閉\">×</button></div><div class=\"idline\"><span>ByteDance Seed /</span><code>bytedance-seed/seedream-5-0-pro</code><button type=\"button\" id=\"copy-id\">複製 ID</button></div><nav class=\"card-jump-nav\" aria-label=\"模型卡片區段\"><button type=\"button\" data-card-jump=\"overview\">入門</button><button type=\"button\" data-card-jump=\"methods\">輸入與方法</button><button type=\"button\" data-card-jump=\"pricing\">方案</button><button type=\"button\" data-card-jump=\"examples\">範例</button><button type=\"button\" data-card-jump=\"results\">結果</button><button type=\"button\" data-card-jump=\"aliases\">別名</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API 方法\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|images|/v1/images/generations|bytedance-seed%2Fseedream-5-0-pro\">圖片</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">入門</h3><p class=\"mdesc-full\">Seedream 5.0 Pro 可生成與編輯圖片，支援密集資訊圖表版面、空間引導局部變更、圖層分離及寫實攝影紋理。原生多語生成適合在地化海報，以及包含大量圖片內文字的設計概念。</p><dl class=\"card-io\" data-card-io><div><dt>接受的輸入</dt><dd>文字 · 圖片</dd></div><div><dt>結果</dt><dd>圖片</dd></div></dl><details class=\"card-about\"><summary>關於模型</summary><p class=\"note-s\" data-model-method-boundary>此說明介紹模型的能力。Ailoot 可用的輸入、輸出與選項，依所選方法列於下方。</p><div class=\"mabout\" id=\"m-about\"><p>Seedream 5.0 Pro 是 ByteDance Seed 面向專業視覺工作的多模態圖片創作模型。它結合新圖生成與依參考資料編輯，重視設計結構，也重視外觀。開發商以四項優勢介紹此版本：高資訊密度圖像、互動式編輯、寫實影像，以及原生多語生成。文件記載的生成介面會回傳一張完成的圖片；相關圖片序列、搜尋與串流輸出，屬於其他版本的工作流程。提示最佳化提供 standard 與 fast 模式，其中 fast 以部分品質換取較短的生成時間。</p><p>在一張圖片中呈現複雜資訊 Pro 可以將內容豐富的需求說明轉成資訊圖、海報或視覺介面概念。請先準備事實內容，再提出風格指令：核准的標籤、數值、關係，以及資訊的閱讀順序。接著指定構圖、主要焦點、字體配置與輔助插畫。以博物館展示為例，可提供展品標題與三段核准說明，要求在各說明旁放置一幅插畫，並指定哪個標題應最突出。請將完成的視覺層級與文字逐項對照需求，尤其要檢查較小的輔助文字。</p><p>這類輸出適合課堂視覺教材、技術說明、簡報圖像與早期產品版面探索。生成的介面圖片有助於溝通視覺構想；若要進一步開發成可運作的產品，請將實際控制項與文字保留在可編輯的設計來源中。製作資訊圖時，請將原始表格或筆記與圖片一起保存，讓設計師能核查及修正個別事實。</p><p>以空間指引進行局部修改 互動式編輯會在指令中加入位置資訊。請標示或選取相關區域，說明修改內容，並指出周邊哪些特徵必須保留。製造商說明，可使用點、套索或方框選取，以及草圖來傳達位置。製作室內概念圖時，可只標示椅子並要求更換材質，同時保留鏡頭位置、地板、牆面及鄰近陰影。修改產品照片時，請指出標籤區域，而不是要求全面重新設計整個物件。</p><p>Pro 的編輯能力包括替換顏色與材質、新增或移除物件、根據草圖渲染，以及結合多份參考中的元素。請為各參考指定用途：基礎構圖、替換物件、材質或配色。例如，提供房間、布料樣本及椅子參考，要求將套用該布料的椅子放在標示位置。請將成果與每份參考比較，注意比例、接合位置及光照。使用粗略草圖時，請標示各區域，並告訴模型繪製的標記是否應留在最終圖片中。</p><p>分離與重新組合視覺元素 開發商示範將圖片拆分為獨立圖層，包含透明元素與恢復的背景內容。這適合需要進一步重新配置的構圖：指出要分離的標題、主體與裝飾，再於設計工具中檢查各產出元素。請保留原圖供比較。在移動或替換元素之前，先檢查邊緣、缺少的細節，以及原本被主體遮住的背景區域。圖層分離是獨立的圖片處理流程；要求多張彼此無關的完成圖片，屬於另一種任務。在開發商的圖層流程中，需提供一張 JPEG 或 PNG 圖片：最大 30 MB、262,144–36,000,000 個像素，長寬比為 1:16–16:1。成果包含基礎圖片及最多 16 個具有 alpha 的 PNG 圖層，另附各圖層的名稱、說明、堆疊順序與位置框。圖層尺寸可選 1K、1.5K、2K，或保留來源長寬比的自動設定。</p><p>寫實光線、材質與肖像 Pro 著重於攝影與電腦生成影像，包括光照、表面特性及皮膚紋理。實用的需求應描述實際場景，而不只是堆疊形容詞：主體、鏡頭位置、主光源、背景，以及應反射或透射光線的材質。製作家具概念圖時，請指定框架是髮絲紋金屬、透明玻璃或塗漆木材，並說明光照。處理肖像時，請描述預期修改，並保留重要的臉部特徵與姿勢。請以最終觀看尺寸檢查皮膚、手部、反射與材質交界。製造商的透明背景選項，適用於編輯恰好一個、原本就具有 alpha 通道的輸入；透明輸出必須為 PNG。這與一般不透明圖片生成是不同的功能。</p><p>多語視覺內容 模型支援以多種常用語言原生撰寫提示與呈現文字，包括中文、英文、法文、德文、俄文、日文、韓文、西班牙文與阿拉伯文。請提供核准的確切文字，指定語言與閱讀方向，並標示含文字的區域。製作在地化海報時，請維持版面與圖像一致，同時分別提供標題與輔助文案。請該語言的讀者檢查成果，包括重音符號、連接字形、換行及小標籤。</p><p>準備實用的交付物 請從預定圖片出發：高資訊密度圖像、在地化海報、視覺概念，或精確修訂的來源圖片。提供該工作所需的內容與參考，再將成果與來源素材及要求的修改比較。製造商的生成流程最多接受 10 個參考，格式為 JPEG、PNG、WebP、BMP、TIFF、GIF、HEIC 或 HEIF，每個最大 30 MB；兩邊皆須大於 14 個像素，總像素為 196–36,000,000，長寬比為 1:16 到 16:1。它回傳 JPEG 或 PNG，輸出可選 1K、1.5K 與 2K，預設為 2K；自訂尺寸需介於 921,600–4,624,220 個總像素，且維持相同長寬比範圍。圖片成果可以是編碼資料，或在 24 小時內到期的下載連結。製造商指出，細字呈現及像素層級編輯一致性仍是持續改善的方向。即使整體構圖令人信服，也請仔細檢查密集標籤與應保持不變的區域。</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot 可用 · 輸入與方法</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · 圖片</b> <code>POST /v1/images/generations</code></summary><dl class=\"method-capabilities\"><div><dt>輸入</dt><dd><code>text</code>, <code>image</code></dd></div><div><dt>輸出</dt><dd><code>image</code></dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>欄位</th><th>類型</th><th>要求</th><th>值與限制</th><th>預設值</th></tr></thead><tbody><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>string</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>必填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>bytedance-seed/seedream-5-0-pro</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">prompt</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>string</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>必填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>長度下限: 1</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">resolution</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>string</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>選填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>1K, 2K</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">aspect_ratio</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>string</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>選填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>1:1, 1:2, 2:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 9:19.5, 19.5:9, 9:20, 20:9, 9:21, 21:9, auto</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">n</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>integer</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>選填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>最小值: 1</div><div>最大值: 1</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">input_references</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>array</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>選填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>項目數下限: 0</div><div>項目數上限: 14</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">provider</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>object</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>選填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>方法參數與生命週期</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>參數</th><th>規格</th></tr></thead><tbody><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>content_type</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>application/json</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>required</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>model, prompt</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>material_types</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>text, image</td></tr></tbody></table></div><p>生命週期： <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · 實際回傳的 task_id 或媒體庫紀錄</p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}/content</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">方案</h3><div class=\"card-result-process\" data-billing-basis><h5>最終費用的計算方式</h5><p class=\"note-s\">顯示的費率用於在生成前估算費用。最終費用依原始生成作業記錄的成本計算。實測的輸出時間長度與預估數量並非最終計費數量。</p></div><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>費率資訊不會增加請求選項。支援的參數列於所選方法中。</p><dl data-price-conditions><dt>快速模式</dt><dd>未指定 <span class=\"note-s\">選取快速模式時</span></dd><dt>flex 模式</dt><dd>未指定 <span class=\"note-s\">選取 flex 模式時</span></dd><dt>最高推理強度</dt><dd>未指定 <span class=\"note-s\">最高推理強度採用 default 調整值時</span></dd></dl></div><div data-declared-tariff-pricing><h4>供比較的預估費率</h4><h4>各設定的價格</h4><p class=\"note-s\">請逐一核對各項費用與所列條件。每組互為替代選項的設定只套用一種費率。</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>設定</th><th>費率表</th><th>預估數量</th><th>計費單位</th><th>費用</th></tr></thead><tbody><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>基礎 token 費率</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>基本費率</td><td data-cell-label=\"預估數量\"><span class=\"card-cell-label\">預估數量</span>—</td><td data-cell-label=\"計費單位\"><span class=\"card-cell-label\">計費單位</span>—</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸入 · 輸入 Token · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸出 · 輸出 Token · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 讀取快取 · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 寫入快取 · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 寫入快取，1 小時 · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div></td></tr><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>輸入圖片</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>—</td><td data-cell-label=\"預估數量\"><span class=\"card-cell-label\">預估數量</span>—</td><td data-cell-label=\"計費單位\"><span class=\"card-cell-label\">計費單位</span>每張輸入圖片</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸入 · 輸入圖片 · 僅供比較的估算</span> <b>$0.006</b> <span class=\"price-unit\">每張輸入圖片</span></div></td></tr><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>輸出圖片</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>—</td><td data-cell-label=\"預估數量\"><span class=\"card-cell-label\">預估數量</span>—</td><td data-cell-label=\"計費單位\"><span class=\"card-cell-label\">計費單位</span>每張輸出圖片</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸出 · 輸出圖片 · 僅供比較的估算</span> <b>$0.09</b> <span class=\"price-unit\">每張輸出圖片</span></div></td></tr><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>預估生成費用</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>—</td><td data-cell-label=\"預估數量\"><span class=\"card-cell-label\">預估數量</span>單次生成估算值</td><td data-cell-label=\"計費單位\"><span class=\"card-cell-label\">計費單位</span>—</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸出 · 預估生成費用 · 僅供比較的估算</span> <b>$0.09</b> <span class=\"price-unit\">生成前估算</span></div><p class=\"note-s\">此估算並非額外費用，也不是本次生成完成後的固定費率。</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot 會在請求前預留估算金額。取得結果後，依實測用量結算最終費用。串流結算採用最終用量紀錄。<a href=\"/docs/zh-hant-tw/billing/reserve/\">預留金額與結算的運作方式 →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">請求範例</h3><h4>Ailoot Ultra · 圖片</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"程式碼版本\"><button class=\"cg-tab\" id=\"model-code-1126-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1126-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"複製程式碼\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1126-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1126-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np={&#39;model&#39;: &#39;bytedance-seed/seedream-5-0-pro&#39;, &#39;prompt&#39;: &#39;a red panda astronaut floating in space, studio lighting&#39;}\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(&quot;No completed images; retain the full response&quot;)\n    for index, item in enumerate(items):\n        encoded=item.get(&quot;b64_json&quot;)\n        uri=item.get(&quot;url&quot;, &quot;&quot;)\n        if not encoded and uri.startswith(&quot;data:image/&quot;):\n            header, separator, encoded=uri.partition(&quot;,&quot;)\n            if not separator or &quot;;base64&quot; not in header: raise SystemExit(&quot;Unsupported image data URI&quot;)\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(&quot;https://api.ailoot.ai&quot;,uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=&quot;https&quot; or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(&quot;Invalid returned image URL&quot;)\n            owned=parsed.netloc==&quot;api.ailoot.ai&quot; and parsed.path.startswith(&quot;/v1/media/assets/&quot;) and parsed.path.endswith(&quot;/content&quot;)\n            args=[&quot;curl&quot;,&quot;--fail-with-body&quot;,&quot;--silent&quot;,&quot;--show-error&quot;,uri]\n            if owned: args += [&quot;-H&quot;,&quot;Authorization: Bearer &quot;+os.environ[&quot;AILOOT_API_KEY&quot;]]\n            temporary=Path(f&quot;image-{index}.bin&quot;)\n            subprocess.run(args+[&quot;-o&quot;,str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(&quot;Image has neither bytes nor URL&quot;)\n        if not raw: raise SystemExit(&quot;Empty image result&quot;)\n        ext=&quot;png&quot; if raw.startswith(b&quot;\\x89PNG&quot;) else &quot;jpg&quot; if raw.startswith(b&quot;\\xff\\xd8&quot;) else &quot;webp&quot; if raw[:4]==b&quot;RIFF&quot; and raw[8:12]==b&quot;WEBP&quot; else &quot;svg&quot; if raw.lstrip().startswith((b&quot;&lt;svg&quot;,b&quot;&lt;?xml&quot;)) else &quot;bin&quot;\n        Path(f&quot;image-{index}.{ext}&quot;).write_bytes(raw)\n    print(&quot;Every returned image saved; complete response metadata retained&quot;)\nsave_images(json.loads(Path(&quot;result.json&quot;).read_text())[&quot;data&quot;])\nPY_RESULT\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">接收並儲存結果</h3><h4>Ailoot Ultra · 圖片</h4><p class=\"note-s\">下載每張傳回的圖片，或儲存其 Base64 內容</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><details class=\"card-about\"><summary>其他內容讀取方式</summary><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"程式碼版本\"><button class=\"cg-tab\" id=\"model-code-1127-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1127-panel-0\" aria-selected=\"true\" tabindex=\"0\">讀取現有且屬於自己的素材</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"複製程式碼\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1127-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1127-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n</code></pre></div></div></div></details><div class=\"card-result-process\" data-all-results><h5>保留所有已完成的結果</h5><p class=\"note-s\">請儲存每張已完成的圖片；從每個傳回的 URL 取得圖片，或解碼其 Base64 內容。</p><p class=\"note-s\">保留完整回應與標頭、所有實際輸出、原始回傳的識別碼，以及所有用量欄位。恢復原始作業時，請勿再次提交建立請求。</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>需要檢查原始回應時</h5><p class=\"note-s\">保留回傳的 X-Client-Request-ID，以供核對。僅讀取實際回傳的 task_id/asset_id 值或自己擁有的媒體庫；請勿以作業 ID 組成任務 URL，也請勿重新提交建立請求。</p></div><details class=\"card-about\" data-output-fields><summary>回應欄位</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>欄位</th><th>類型</th></tr></thead><tbody><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">created</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span></td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">data[].url</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span></td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">data[].b64_json</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span></td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span></td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">別名</h3><h4>模型別名</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=bytedance-seed%2Fseedream-5-0-pro&amp;route=Ultra&amp;caller=bytedance-seed%2Fseedream-5-0-pro&amp;fmt=images\"><code>bytedance-seed/seedream-5-0-pro</code></a></span></p><h4>方法路徑別名</h4><p class=\"note-s\"><code>/v1/images</code></p><h4>相關呼叫用 ID</h4><p class=\"note-s\"><a href=\"#m=bytedance-seed%2Fseedream-5-0-pro&amp;route=Ultra&amp;caller=bytedance-seed%2Fseedream-5-0-pro&amp;fmt=images\"><code>bytedance-seed/seedream-5-0-pro</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "bytedance-seed/seedream-5-0-pro",
        "fmt": "images",
        "http": "POST",
        "path": "/v1/images/generations",
        "request_model_id": "bytedance-seed/seedream-5-0-pro",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|images|/v1/images/generations|bytedance-seed%2Fseedream-5-0-pro",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "顯示的費率用於在生成前估算費用。最終費用依原始生成作業記錄的成本計算。實測的輸出時間長度與預估數量並非最終計費數量。",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "保留回傳的 X-Client-Request-ID，以供核對。僅讀取實際回傳的 task_id/asset_id 值或自己擁有的媒體庫；請勿以作業 ID 組成任務 URL，也請勿重新提交建立請求。"
            },
            "outputs": {
              "all_results": "保留完整回應與標頭、所有實際輸出、原始回傳的識別碼，以及所有用量欄位。恢復原始作業時，請勿再次提交建立請求。",
              "family": "image",
              "fields": [
                {
                  "description": null,
                  "name": "created",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].url",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].b64_json",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "bytedance-seed/seedream-5-0-pro"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "min_length": 1,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "enum": [
                  "1K",
                  "2K"
                ],
                "enum_known": true,
                "name": "resolution",
                "required": false,
                "type": "string"
              },
              {
                "enum": [
                  "1:1",
                  "1:2",
                  "2:1",
                  "2:3",
                  "3:2",
                  "3:4",
                  "4:3",
                  "4:5",
                  "5:4",
                  "9:16",
                  "16:9",
                  "9:19.5",
                  "19.5:9",
                  "9:20",
                  "20:9",
                  "9:21",
                  "21:9",
                  "auto"
                ],
                "enum_known": true,
                "name": "aspect_ratio",
                "required": false,
                "type": "string"
              },
              {
                "maximum": 1,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "items": {
                  "properties": {
                    "image_url": {
                      "properties": {
                        "url": {
                          "type": "string"
                        }
                      },
                      "required": [
                        "url"
                      ],
                      "type": "object"
                    },
                    "type": {
                      "const": "image_url"
                    }
                  },
                  "required": [
                    "type",
                    "image_url"
                  ],
                  "type": "object"
                },
                "maximum_items": 14,
                "minimum_items": 0,
                "name": "input_references",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "aspect_ratio": {
                  "enum": [
                    "1:1",
                    "1:2",
                    "2:1",
                    "2:3",
                    "3:2",
                    "3:4",
                    "4:3",
                    "4:5",
                    "5:4",
                    "9:16",
                    "16:9",
                    "9:19.5",
                    "19.5:9",
                    "9:20",
                    "20:9",
                    "9:21",
                    "21:9",
                    "auto"
                  ],
                  "type": "string"
                },
                "input_references": {
                  "items": {
                    "properties": {
                      "image_url": {
                        "properties": {
                          "url": {
                            "type": "string"
                          }
                        },
                        "required": [
                          "url"
                        ],
                        "type": "object"
                      },
                      "type": {
                        "const": "image_url"
                      }
                    },
                    "required": [
                      "type",
                      "image_url"
                    ],
                    "type": "object"
                  },
                  "maxItems": 14,
                  "minItems": 0,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "bytedance-seed/seedream-5-0-pro"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 1,
                  "minimum": 1,
                  "type": "integer"
                },
                "prompt": {
                  "minLength": 1,
                  "type": "string"
                },
                "provider": {
                  "description": "Exact image provider preferences from the documented image request schema.",
                  "type": "object"
                },
                "resolution": {
                  "enum": [
                    "1K",
                    "2K"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "bytedance-seed/seedream-5-0-pro",
                "prompt": "a red panda astronaut floating in space, studio lighting"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "實際回傳的 task_id 或媒體庫紀錄",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "image",
            "fields": [
              {
                "description": null,
                "name": "created",
                "type": null
              },
              {
                "description": null,
                "name": "data[].url",
                "type": null
              },
              {
                "description": null,
                "name": "data[].b64_json",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input image"
            },
            "label": "輸入圖片",
            "units": [
              {
                "amount": "0.006",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input",
                "label": "input image",
                "native_amount_usd_per_unit": "0.006",
                "native_quantity": 1,
                "public_unit_label": "per input image",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "image_input"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per output image"
            },
            "label": "output image",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output",
                "label": "output image",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "per output image",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "image_output"
              }
            ]
          },
          {
            "basis": "此估算並非額外費用，也不是本次生成完成後的固定費率。",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "預估生成費用",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np={'model': 'bytedance-seed/seedream-5-0-pro', 'prompt': 'a red panda astronaut floating in space, studio lighting'}\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(\"No completed images; retain the full response\")\n    for index, item in enumerate(items):\n        encoded=item.get(\"b64_json\")\n        uri=item.get(\"url\", \"\")\n        if not encoded and uri.startswith(\"data:image/\"):\n            header, separator, encoded=uri.partition(\",\")\n            if not separator or \";base64\" not in header: raise SystemExit(\"Unsupported image data URI\")\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(\"https://api.ailoot.ai\",uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=\"https\" or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(\"Invalid returned image URL\")\n            owned=parsed.netloc==\"api.ailoot.ai\" and parsed.path.startswith(\"/v1/media/assets/\") and parsed.path.endswith(\"/content\")\n            args=[\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",uri]\n            if owned: args += [\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"]]\n            temporary=Path(f\"image-{index}.bin\")\n            subprocess.run(args+[\"-o\",str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(\"Image has neither bytes nor URL\")\n        if not raw: raise SystemExit(\"Empty image result\")\n        ext=\"png\" if raw.startswith(b\"\\x89PNG\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"svg\" if raw.lstrip().startswith((b\"<svg\",b\"<?xml\")) else \"bin\"\n        Path(f\"image-{index}.{ext}\").write_bytes(raw)\n    print(\"Every returned image saved; complete response metadata retained\")\nsave_images(json.loads(Path(\"result.json\").read_text())[\"data\"])\nPY_RESULT\n",
            "label": "curl · exact creation/save all outputs",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "hints": [
          "Use the exact caller model ID and documented input representation.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text",
          "image"
        ],
        "label": "圖片",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/v1/images"
        ],
        "native_endpoint": "images",
        "out": null,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input image"
            },
            "label": "input image",
            "units": [
              {
                "amount": "0.006",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input",
                "label": "input image",
                "native_amount_usd_per_unit": "0.006",
                "native_quantity": 1,
                "public_unit_label": "per input image",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "image_input"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per output image"
            },
            "label": "output image",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output",
                "label": "output image",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "per output image",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "image_output"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "bytedance-seed/seedream-5-0-pro",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.006",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "image_input",
            "label": "input image",
            "native_amount_usd_per_unit": "0.006",
            "native_quantity": 1,
            "public_unit_label": "per input image",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "image_input"
          },
          {
            "amount": "0.09",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "image_output",
            "label": "output image",
            "native_amount_usd_per_unit": "0.09",
            "native_quantity": 1,
            "public_unit_label": "per output image",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "image_output"
          },
          {
            "amount": "0.09",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.09",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ]
      }
    }
  ],
  "model_id": "bytedance-seed/seedream-5-0-pro",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "4c6332894cd21cf10fffa712731e49499efd64678395816651dd218f75b1c442",
    "input_html_sha256": "e970c6e44844926394e39aae67e08bb93e9e4d53e82d1f0e1c282b30e75c075f",
    "private_audit_sha256": "6a595ab68720c652028c5fe718ef6af34909c5ffc609a397a9663b50903dcef6",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/zh-hant-tw/bytedance-seed-seedream-5-0-pro/",
    "description": "Seedream 5.0 Pro 可生成與編輯圖片，支援密集資訊圖表版面、空間引導局部變更、圖層分離及寫實攝影紋理。原生多語生成適合在地化海報，以及包含大量圖片內文字的設計概念。",
    "locale": "zh-hant-tw",
    "md_url": "https://ailoot.ai/models/zh-hant-tw/bytedance-seed-seedream-5-0-pro/index.md",
    "title": "ByteDance Seed: Seedream 5.0 Pro — Ailoot",
    "url": "https://ailoot.ai/models/zh-hant-tw/bytedance-seed-seedream-5-0-pro/"
  },
  "rawModel": {
    "about": "Seedream 5.0 Pro 是 ByteDance Seed 面向專業視覺工作的多模態圖片創作模型。它結合新圖生成與依參考資料編輯，重視設計結構，也重視外觀。開發商以四項優勢介紹此版本：高資訊密度圖像、互動式編輯、寫實影像，以及原生多語生成。文件記載的生成介面會回傳一張完成的圖片；相關圖片序列、搜尋與串流輸出，屬於其他版本的工作流程。提示最佳化提供 standard 與 fast 模式，其中 fast 以部分品質換取較短的生成時間。\n\n在一張圖片中呈現複雜資訊\nPro 可以將內容豐富的需求說明轉成資訊圖、海報或視覺介面概念。請先準備事實內容，再提出風格指令：核准的標籤、數值、關係，以及資訊的閱讀順序。接著指定構圖、主要焦點、字體配置與輔助插畫。以博物館展示為例，可提供展品標題與三段核准說明，要求在各說明旁放置一幅插畫，並指定哪個標題應最突出。請將完成的視覺層級與文字逐項對照需求，尤其要檢查較小的輔助文字。\n\n這類輸出適合課堂視覺教材、技術說明、簡報圖像與早期產品版面探索。生成的介面圖片有助於溝通視覺構想；若要進一步開發成可運作的產品，請將實際控制項與文字保留在可編輯的設計來源中。製作資訊圖時，請將原始表格或筆記與圖片一起保存，讓設計師能核查及修正個別事實。\n\n以空間指引進行局部修改\n互動式編輯會在指令中加入位置資訊。請標示或選取相關區域，說明修改內容，並指出周邊哪些特徵必須保留。製造商說明，可使用點、套索或方框選取，以及草圖來傳達位置。製作室內概念圖時，可只標示椅子並要求更換材質，同時保留鏡頭位置、地板、牆面及鄰近陰影。修改產品照片時，請指出標籤區域，而不是要求全面重新設計整個物件。\n\nPro 的編輯能力包括替換顏色與材質、新增或移除物件、根據草圖渲染，以及結合多份參考中的元素。請為各參考指定用途：基礎構圖、替換物件、材質或配色。例如，提供房間、布料樣本及椅子參考，要求將套用該布料的椅子放在標示位置。請將成果與每份參考比較，注意比例、接合位置及光照。使用粗略草圖時，請標示各區域，並告訴模型繪製的標記是否應留在最終圖片中。\n\n分離與重新組合視覺元素\n開發商示範將圖片拆分為獨立圖層，包含透明元素與恢復的背景內容。這適合需要進一步重新配置的構圖：指出要分離的標題、主體與裝飾，再於設計工具中檢查各產出元素。請保留原圖供比較。在移動或替換元素之前，先檢查邊緣、缺少的細節，以及原本被主體遮住的背景區域。圖層分離是獨立的圖片處理流程；要求多張彼此無關的完成圖片，屬於另一種任務。在開發商的圖層流程中，需提供一張 JPEG 或 PNG 圖片：最大 30 MB、262,144–36,000,000 個像素，長寬比為 1:16–16:1。成果包含基礎圖片及最多 16 個具有 alpha 的 PNG 圖層，另附各圖層的名稱、說明、堆疊順序與位置框。圖層尺寸可選 1K、1.5K、2K，或保留來源長寬比的自動設定。\n\n寫實光線、材質與肖像\nPro 著重於攝影與電腦生成影像，包括光照、表面特性及皮膚紋理。實用的需求應描述實際場景，而不只是堆疊形容詞：主體、鏡頭位置、主光源、背景，以及應反射或透射光線的材質。製作家具概念圖時，請指定框架是髮絲紋金屬、透明玻璃或塗漆木材，並說明光照。處理肖像時，請描述預期修改，並保留重要的臉部特徵與姿勢。請以最終觀看尺寸檢查皮膚、手部、反射與材質交界。製造商的透明背景選項，適用於編輯恰好一個、原本就具有 alpha 通道的輸入；透明輸出必須為 PNG。這與一般不透明圖片生成是不同的功能。\n\n多語視覺內容\n模型支援以多種常用語言原生撰寫提示與呈現文字，包括中文、英文、法文、德文、俄文、日文、韓文、西班牙文與阿拉伯文。請提供核准的確切文字，指定語言與閱讀方向，並標示含文字的區域。製作在地化海報時，請維持版面與圖像一致，同時分別提供標題與輔助文案。請該語言的讀者檢查成果，包括重音符號、連接字形、換行及小標籤。\n\n準備實用的交付物\n請從預定圖片出發：高資訊密度圖像、在地化海報、視覺概念，或精確修訂的來源圖片。提供該工作所需的內容與參考，再將成果與來源素材及要求的修改比較。製造商的生成流程最多接受 10 個參考，格式為 JPEG、PNG、WebP、BMP、TIFF、GIF、HEIC 或 HEIF，每個最大 30 MB；兩邊皆須大於 14 個像素，總像素為 196–36,000,000，長寬比為 1:16 到 16:1。它回傳 JPEG 或 PNG，輸出可選 1K、1.5K 與 2K，預設為 2K；自訂尺寸需介於 921,600–4,624,220 個總像素，且維持相同長寬比範圍。圖片成果可以是編碼資料，或在 24 小時內到期的下載連結。製造商指出，細字呈現及像素層級編輯一致性仍是持續改善的方向。即使整體構圖令人信服，也請仔細檢查密集標籤與應保持不變的區域。",
    "alias_of": null,
    "aliases": [],
    "author": "ByteDance Seed",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [
        "text",
        "image"
      ],
      "manufacturer_output": [
        "image"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.09",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.09",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ],
        "summary": "完整的設定價格資訊請見詳細資料。"
      }
    ],
    "ctx": null,
    "formats": [
      "images"
    ],
    "id": "bytedance-seed/seedream-5-0-pro",
    "input": [
      "text",
      "image"
    ],
    "kind": "image",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "顯示的費率用於在生成前估算費用。最終費用依原始生成作業記錄的成本計算。實測的輸出時間長度與預估數量並非最終計費數量。",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "保留回傳的 X-Client-Request-ID，以供核對。僅讀取實際回傳的 task_id/asset_id 值或自己擁有的媒體庫；請勿以作業 ID 組成任務 URL，也請勿重新提交建立請求。"
            },
            "outputs": {
              "all_results": "保留完整回應與標頭、所有實際輸出、原始回傳的識別碼，以及所有用量欄位。恢復原始作業時，請勿再次提交建立請求。",
              "family": "image",
              "fields": [
                {
                  "description": null,
                  "name": "created",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].url",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].b64_json",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "bytedance-seed/seedream-5-0-pro"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "min_length": 1,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "enum": [
                  "1K",
                  "2K"
                ],
                "enum_known": true,
                "name": "resolution",
                "required": false,
                "type": "string"
              },
              {
                "enum": [
                  "1:1",
                  "1:2",
                  "2:1",
                  "2:3",
                  "3:2",
                  "3:4",
                  "4:3",
                  "4:5",
                  "5:4",
                  "9:16",
                  "16:9",
                  "9:19.5",
                  "19.5:9",
                  "9:20",
                  "20:9",
                  "9:21",
                  "21:9",
                  "auto"
                ],
                "enum_known": true,
                "name": "aspect_ratio",
                "required": false,
                "type": "string"
              },
              {
                "maximum": 1,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "items": {
                  "properties": {
                    "image_url": {
                      "properties": {
                        "url": {
                          "type": "string"
                        }
                      },
                      "required": [
                        "url"
                      ],
                      "type": "object"
                    },
                    "type": {
                      "const": "image_url"
                    }
                  },
                  "required": [
                    "type",
                    "image_url"
                  ],
                  "type": "object"
                },
                "maximum_items": 14,
                "minimum_items": 0,
                "name": "input_references",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "aspect_ratio": {
                  "enum": [
                    "1:1",
                    "1:2",
                    "2:1",
                    "2:3",
                    "3:2",
                    "3:4",
                    "4:3",
                    "4:5",
                    "5:4",
                    "9:16",
                    "16:9",
                    "9:19.5",
                    "19.5:9",
                    "9:20",
                    "20:9",
                    "9:21",
                    "21:9",
                    "auto"
                  ],
                  "type": "string"
                },
                "input_references": {
                  "items": {
                    "properties": {
                      "image_url": {
                        "properties": {
                          "url": {
                            "type": "string"
                          }
                        },
                        "required": [
                          "url"
                        ],
                        "type": "object"
                      },
                      "type": {
                        "const": "image_url"
                      }
                    },
                    "required": [
                      "type",
                      "image_url"
                    ],
                    "type": "object"
                  },
                  "maxItems": 14,
                  "minItems": 0,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "bytedance-seed/seedream-5-0-pro"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 1,
                  "minimum": 1,
                  "type": "integer"
                },
                "prompt": {
                  "minLength": 1,
                  "type": "string"
                },
                "provider": {
                  "description": "Exact image provider preferences from the documented image request schema.",
                  "type": "object"
                },
                "resolution": {
                  "enum": [
                    "1K",
                    "2K"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "bytedance-seed/seedream-5-0-pro",
                "prompt": "a red panda astronaut floating in space, studio lighting"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "實際回傳的 task_id 或媒體庫紀錄",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "image",
            "fields": [
              {
                "description": null,
                "name": "created",
                "type": null
              },
              {
                "description": null,
                "name": "data[].url",
                "type": null
              },
              {
                "description": null,
                "name": "data[].b64_json",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input image"
            },
            "label": "輸入圖片",
            "units": [
              {
                "amount": "0.006",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input",
                "label": "input image",
                "native_amount_usd_per_unit": "0.006",
                "native_quantity": 1,
                "public_unit_label": "per input image",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "image_input"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per output image"
            },
            "label": "output image",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output",
                "label": "output image",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "per output image",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "image_output"
              }
            ]
          },
          {
            "basis": "此估算並非額外費用，也不是本次生成完成後的固定費率。",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "預估生成費用",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np={'model': 'bytedance-seed/seedream-5-0-pro', 'prompt': 'a red panda astronaut floating in space, studio lighting'}\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(\"No completed images; retain the full response\")\n    for index, item in enumerate(items):\n        encoded=item.get(\"b64_json\")\n        uri=item.get(\"url\", \"\")\n        if not encoded and uri.startswith(\"data:image/\"):\n            header, separator, encoded=uri.partition(\",\")\n            if not separator or \";base64\" not in header: raise SystemExit(\"Unsupported image data URI\")\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(\"https://api.ailoot.ai\",uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=\"https\" or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(\"Invalid returned image URL\")\n            owned=parsed.netloc==\"api.ailoot.ai\" and parsed.path.startswith(\"/v1/media/assets/\") and parsed.path.endswith(\"/content\")\n            args=[\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",uri]\n            if owned: args += [\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"]]\n            temporary=Path(f\"image-{index}.bin\")\n            subprocess.run(args+[\"-o\",str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(\"Image has neither bytes nor URL\")\n        if not raw: raise SystemExit(\"Empty image result\")\n        ext=\"png\" if raw.startswith(b\"\\x89PNG\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"svg\" if raw.lstrip().startswith((b\"<svg\",b\"<?xml\")) else \"bin\"\n        Path(f\"image-{index}.{ext}\").write_bytes(raw)\n    print(\"Every returned image saved; complete response metadata retained\")\nsave_images(json.loads(Path(\"result.json\").read_text())[\"data\"])\nPY_RESULT\n",
            "label": "curl · exact creation/save all outputs",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "hints": [
          "Use the exact caller model ID and documented input representation.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text",
          "image"
        ],
        "label": "圖片",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/v1/images"
        ],
        "native_endpoint": "images",
        "out": null,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input image"
            },
            "label": "input image",
            "units": [
              {
                "amount": "0.006",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input",
                "label": "input image",
                "native_amount_usd_per_unit": "0.006",
                "native_quantity": 1,
                "public_unit_label": "per input image",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "image_input"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per output image"
            },
            "label": "output image",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output",
                "label": "output image",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "per output image",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "image_output"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "bytedance-seed/seedream-5-0-pro",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.006",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "image_input",
            "label": "input image",
            "native_amount_usd_per_unit": "0.006",
            "native_quantity": 1,
            "public_unit_label": "per input image",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "image_input"
          },
          {
            "amount": "0.09",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "image_output",
            "label": "output image",
            "native_amount_usd_per_unit": "0.09",
            "native_quantity": 1,
            "public_unit_label": "per output image",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "image_output"
          },
          {
            "amount": "0.09",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.09",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "bytedance-seed/seedream-5-0-pro",
        "request_model_id": "bytedance-seed/seedream-5-0-pro",
        "route_label": "Ultra"
      }
    ],
    "name": "ByteDance Seed: Seedream 5.0 Pro",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 0.09,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 0.09,
      "varies": false
    },
    "short": "Seedream 5.0 Pro 可生成與編輯圖片，支援密集資訊圖表版面、空間引導局部變更、圖層分離及寫實攝影紋理。原生多語生成適合在地化海報，以及包含大量圖片內文字的設計概念。"
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Seedream 5.0 Pro 可生成與編輯圖片，支援密集資訊圖表版面、空間引導局部變更、圖層分離及寫實攝影紋理。原生多語生成適合在地化海報，以及包含大量圖片內文字的設計概念。",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "fa3279316c1315b222a924085660a9ee75bf8a8e4e7754ea76a1f58fe6308ffa",
    "renderer_sha256": "13a3fc1b22d07359278e2249d630bfc9bb9e6416c71ba53def933fb5a903660b"
  },
  "sourceRevision": "ad8972dc558b52afd24a4aea6907630fe9d1afceee0f76a5cca133f862e99b68"
}
