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  "aboutHtml": "<p>Grok Imagine Image 2.0 是 xAI 的圖片生成與編輯模型。它接收文字描述，或文字描述搭配來源圖片，並傳回圖片結果。原廠命名的 2.0 設定涵蓋場景建立、現有圖片修改、結合參考圖片中的主體，以及視覺風格轉換。開始時，先決定需要建立全新構圖，還是針對既有素材進行特定修改。</p><h4>依照需求說明建立圖片</h4><p>描述主要主體、所處環境、構圖、光線與視覺處理方式。指出希望觀眾最先注意到什麼，以及圖片將用在哪裡。產品概念的示範需求可以描述：一盞陶瓷檯燈放在淺色石桌上，柔和窗光、近距離呈現材質，並留出空間供後續另加標題。製作插畫時，請說明角色、動作與預期美感，不要期待單一風格詞就能定義整個場景。</p><p>原廠文件說明，一次生成請求可輸出 1 至 10 張圖片，預設為 1 張。同一份需求產生的多個結果，可提供不同方案供審視，但不保證每個變化版本都有完全相同的主體。檢查主體、構圖與重要細節，並保留最符合需求的版本。將需求說明與選定版本一併保存，讓後續編輯沿用原本的構圖意圖。</p><h4>構圖、解析度與品質</h4><p>生成指南記載可自動選擇長寬比，也可明確指定比例。列出的選項包括 1:1、16:9、9:16、4:3、3:4、3:2、2:3、2:1、1:2、19.5:9、9:19.5、20:9、9:20、21:9 與 5:2。依照預定放置位置選擇畫面形狀：小型圖塊適合正方形，直向構圖適合縱向比例，寬廣場景則適合橫向比例。請明確描述裁切會影響的主體，以及版面所需的留白，不要只依賴長寬比。</p><p>文件中的生成解析度設定為 1k 與 2k，預設為 1k。品質是獨立控制項，可選 low、medium 與 auto。xAI 現行指南以 auto 為預設值，生成時使用 low，編輯時使用 medium；明確選擇 low 或 medium 即可固定該設定。因此，解析度與品質是不同的控制項。請指出重要視覺細節，並在傳回圖片中檢查，而不要將任何一項設定視為文字、幾何結構或主體保留程度必定精確的保證。</p><h4>編輯與視覺風格轉換</h4><p>提供要修改的圖片，並依照其中可見內容描述所需變更。聚焦的編輯需求可以要求將深色牆面換成淺色灰泥表面，同時保留家具排列、拍攝視角與溫暖照明。如果目的是風格轉換，請指定期望的處理方式：原廠展示了攝影、動漫、油畫、水彩、普普藝術及鉛筆素描風格。說明哪些元素應保留外觀，哪些可隨風格處理而改變。</p><p>原廠編輯流程接受來源圖片參照、編碼圖片資料或檔案識別碼。使用已儲存的參照時，請採用已完整上傳的 PNG、JPEG 或 WebP 圖片。指南也記載了連續編輯：將前一次編輯結果作為下一次輸入。例如，先更換家具，再調整光線，逐步讓基礎構圖成為更具體的結果。將原圖與選定的中間圖片，和各次需求說明建立對應關係，讓後續精修能依照預期構圖檢查。</p><h4>結合多張參考圖片</h4><p>現行多圖指南允許一次編輯使用最多 5 張來源圖片。依照提供順序指稱各張圖片，並分配清楚的角色，例如採用第一張的主體與第二張的環境。輸出比例預設沿用第一張輸入圖片，也可明確指定其他比例取代。製作產品置於室內的概念圖時，描述產品的位置、尺寸及與室內表面的接觸關係，再要求保留辨識產品所需的細節。檢查來源素材如何結合，不要假設每個元素都原封不動地複製。</p><h4>接收與保存圖片</h4><p>原廠預設傳回暫時性的圖片網址，也記載了編碼圖片輸出方式。需要作為素材使用時，請及時保存實際圖片。選用延後處理流程時，請求確認與完成會分開：取得請求識別碼後，狀態依序可能為 pending、done 或 failed；延後處理結果使用網址回應格式，文件記載保存期限為 24 小時。已送出請求或 pending 狀態都不代表圖片已完成。請將完成圖片與需求說明、選定設定一併保存，方便日後重用。</p><p>有用的最終成果，應是一張符合明確場景、版面或編輯需求的圖片。檢查完整構圖與細部，尤其是來源主體、物件邊界、比例，以及任何承載意義的文字。進行反覆修改時，調整與可見問題相關的指令，並使用選定結果作為下一次參考。具體說明要修改與保留的內容，才能依照明確的創作用途評估每次結果。</p>",
  "aboutText": "Grok Imagine Image 2.0 是 xAI 的圖片生成與編輯模型。它接收文字描述，或文字描述搭配來源圖片，並傳回圖片結果。原廠命名的 2.0 設定涵蓋場景建立、現有圖片修改、結合參考圖片中的主體，以及視覺風格轉換。開始時，先決定需要建立全新構圖，還是針對既有素材進行特定修改。\n\n### 依照需求說明建立圖片\n\n描述主要主體、所處環境、構圖、光線與視覺處理方式。指出希望觀眾最先注意到什麼，以及圖片將用在哪裡。產品概念的示範需求可以描述：一盞陶瓷檯燈放在淺色石桌上，柔和窗光、近距離呈現材質，並留出空間供後續另加標題。製作插畫時，請說明角色、動作與預期美感，不要期待單一風格詞就能定義整個場景。\n\n原廠文件說明，一次生成請求可輸出 1 至 10 張圖片，預設為 1 張。同一份需求產生的多個結果，可提供不同方案供審視，但不保證每個變化版本都有完全相同的主體。檢查主體、構圖與重要細節，並保留最符合需求的版本。將需求說明與選定版本一併保存，讓後續編輯沿用原本的構圖意圖。\n\n### 構圖、解析度與品質\n\n生成指南記載可自動選擇長寬比，也可明確指定比例。列出的選項包括 1:1、16:9、9:16、4:3、3:4、3:2、2:3、2:1、1:2、19.5:9、9:19.5、20:9、9:20、21:9 與 5:2。依照預定放置位置選擇畫面形狀：小型圖塊適合正方形，直向構圖適合縱向比例，寬廣場景則適合橫向比例。請明確描述裁切會影響的主體，以及版面所需的留白，不要只依賴長寬比。\n\n文件中的生成解析度設定為 1k 與 2k，預設為 1k。品質是獨立控制項，可選 low、medium 與 auto。xAI 現行指南以 auto 為預設值，生成時使用 low，編輯時使用 medium；明確選擇 low 或 medium 即可固定該設定。因此，解析度與品質是不同的控制項。請指出重要視覺細節，並在傳回圖片中檢查，而不要將任何一項設定視為文字、幾何結構或主體保留程度必定精確的保證。\n\n### 編輯與視覺風格轉換\n\n提供要修改的圖片，並依照其中可見內容描述所需變更。聚焦的編輯需求可以要求將深色牆面換成淺色灰泥表面，同時保留家具排列、拍攝視角與溫暖照明。如果目的是風格轉換，請指定期望的處理方式：原廠展示了攝影、動漫、油畫、水彩、普普藝術及鉛筆素描風格。說明哪些元素應保留外觀，哪些可隨風格處理而改變。\n\n原廠編輯流程接受來源圖片參照、編碼圖片資料或檔案識別碼。使用已儲存的參照時，請採用已完整上傳的 PNG、JPEG 或 WebP 圖片。指南也記載了連續編輯：將前一次編輯結果作為下一次輸入。例如，先更換家具，再調整光線，逐步讓基礎構圖成為更具體的結果。將原圖與選定的中間圖片，和各次需求說明建立對應關係，讓後續精修能依照預期構圖檢查。\n\n### 結合多張參考圖片\n\n現行多圖指南允許一次編輯使用最多 5 張來源圖片。依照提供順序指稱各張圖片，並分配清楚的角色，例如採用第一張的主體與第二張的環境。輸出比例預設沿用第一張輸入圖片，也可明確指定其他比例取代。製作產品置於室內的概念圖時，描述產品的位置、尺寸及與室內表面的接觸關係，再要求保留辨識產品所需的細節。檢查來源素材如何結合，不要假設每個元素都原封不動地複製。\n\n### 接收與保存圖片\n\n原廠預設傳回暫時性的圖片網址，也記載了編碼圖片輸出方式。需要作為素材使用時，請及時保存實際圖片。選用延後處理流程時，請求確認與完成會分開：取得請求識別碼後，狀態依序可能為 pending、done 或 failed；延後處理結果使用網址回應格式，文件記載保存期限為 24 小時。已送出請求或 pending 狀態都不代表圖片已完成。請將完成圖片與需求說明、選定設定一併保存，方便日後重用。\n\n有用的最終成果，應是一張符合明確場景、版面或編輯需求的圖片。檢查完整構圖與細部，尤其是來源主體、物件邊界、比例，以及任何承載意義的文字。進行反覆修改時，調整與可見問題相關的指令，並使用選定結果作為下一次參考。具體說明要修改與保留的內容，才能依照明確的創作用途評估每次結果。",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">x</span><h2 id=\"sheet-title\">xAI: Grok Imagine Image 2.0</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"關閉\">×</button></div><div class=\"idline\"><span>xAI /</span><code>x-ai/grok-imagine-image-2.0</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|x-ai%2Fgrok-imagine-image-2.0\">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\">Grok Imagine Image 2.0 可依照文字需求說明建立圖片，也能透過自然語言指令編輯現有圖片。xAI 文件說明了可設定的品質、解析度與構圖、多張圖片參考、風格轉換及逐步精修功能。</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>Grok Imagine Image 2.0 是 xAI 的圖片生成與編輯模型。它接收文字描述，或文字描述搭配來源圖片，並傳回圖片結果。原廠命名的 2.0 設定涵蓋場景建立、現有圖片修改、結合參考圖片中的主體，以及視覺風格轉換。開始時，先決定需要建立全新構圖，還是針對既有素材進行特定修改。</p><h4>依照需求說明建立圖片</h4><p>描述主要主體、所處環境、構圖、光線與視覺處理方式。指出希望觀眾最先注意到什麼，以及圖片將用在哪裡。產品概念的示範需求可以描述：一盞陶瓷檯燈放在淺色石桌上，柔和窗光、近距離呈現材質，並留出空間供後續另加標題。製作插畫時，請說明角色、動作與預期美感，不要期待單一風格詞就能定義整個場景。</p><p>原廠文件說明，一次生成請求可輸出 1 至 10 張圖片，預設為 1 張。同一份需求產生的多個結果，可提供不同方案供審視，但不保證每個變化版本都有完全相同的主體。檢查主體、構圖與重要細節，並保留最符合需求的版本。將需求說明與選定版本一併保存，讓後續編輯沿用原本的構圖意圖。</p><h4>構圖、解析度與品質</h4><p>生成指南記載可自動選擇長寬比，也可明確指定比例。列出的選項包括 1:1、16:9、9:16、4:3、3:4、3:2、2:3、2:1、1:2、19.5:9、9:19.5、20:9、9:20、21:9 與 5:2。依照預定放置位置選擇畫面形狀：小型圖塊適合正方形，直向構圖適合縱向比例，寬廣場景則適合橫向比例。請明確描述裁切會影響的主體，以及版面所需的留白，不要只依賴長寬比。</p><p>文件中的生成解析度設定為 1k 與 2k，預設為 1k。品質是獨立控制項，可選 low、medium 與 auto。xAI 現行指南以 auto 為預設值，生成時使用 low，編輯時使用 medium；明確選擇 low 或 medium 即可固定該設定。因此，解析度與品質是不同的控制項。請指出重要視覺細節，並在傳回圖片中檢查，而不要將任何一項設定視為文字、幾何結構或主體保留程度必定精確的保證。</p><h4>編輯與視覺風格轉換</h4><p>提供要修改的圖片，並依照其中可見內容描述所需變更。聚焦的編輯需求可以要求將深色牆面換成淺色灰泥表面，同時保留家具排列、拍攝視角與溫暖照明。如果目的是風格轉換，請指定期望的處理方式：原廠展示了攝影、動漫、油畫、水彩、普普藝術及鉛筆素描風格。說明哪些元素應保留外觀，哪些可隨風格處理而改變。</p><p>原廠編輯流程接受來源圖片參照、編碼圖片資料或檔案識別碼。使用已儲存的參照時，請採用已完整上傳的 PNG、JPEG 或 WebP 圖片。指南也記載了連續編輯：將前一次編輯結果作為下一次輸入。例如，先更換家具，再調整光線，逐步讓基礎構圖成為更具體的結果。將原圖與選定的中間圖片，和各次需求說明建立對應關係，讓後續精修能依照預期構圖檢查。</p><h4>結合多張參考圖片</h4><p>現行多圖指南允許一次編輯使用最多 5 張來源圖片。依照提供順序指稱各張圖片，並分配清楚的角色，例如採用第一張的主體與第二張的環境。輸出比例預設沿用第一張輸入圖片，也可明確指定其他比例取代。製作產品置於室內的概念圖時，描述產品的位置、尺寸及與室內表面的接觸關係，再要求保留辨識產品所需的細節。檢查來源素材如何結合，不要假設每個元素都原封不動地複製。</p><h4>接收與保存圖片</h4><p>原廠預設傳回暫時性的圖片網址，也記載了編碼圖片輸出方式。需要作為素材使用時，請及時保存實際圖片。選用延後處理流程時，請求確認與完成會分開：取得請求識別碼後，狀態依序可能為 pending、done 或 failed；延後處理結果使用網址回應格式，文件記載保存期限為 24 小時。已送出請求或 pending 狀態都不代表圖片已完成。請將完成圖片與需求說明、選定設定一併保存，方便日後重用。</p><p>有用的最終成果，應是一張符合明確場景、版面或編輯需求的圖片。檢查完整構圖與細部，尤其是來源主體、物件邊界、比例，以及任何承載意義的文字。進行反覆修改時，調整與可見問題相關的指令，並使用選定結果作為下一次參考。具體說明要修改與保留的內容，才能依照明確的創作用途評估每次結果。</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>x-ai/grok-imagine-image-2.0</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, 3:4, 4:3, 9:16, 16:9, 2:3, 3:2, 9:19.5, 19.5:9, 9:20, 20:9, 1:2, 2:1, 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\">quality</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>low, medium</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: 3</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>$0.02</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>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>$0.08</b> <span class=\"price-unit\">生成前估算</span></div><p class=\"note-s\">此估算並非額外費用，也不是本次生成完成後的固定費率。</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot 會在請求前預留估算金額。取得結果後，依實測用量結算最終費用。串流結算採用最終用量紀錄。<a href=\"/docs/zh-hant-tw/billing/reserve/\">預留金額與結算的運作方式 →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">請求範例</h3><h4>Ailoot Ultra · 圖片</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"程式碼版本\"><button class=\"cg-tab\" id=\"model-code-2716-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2716-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"複製程式碼\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2716-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2716-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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;x-ai/grok-imagine-image-2.0&#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-2717-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2717-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-2717-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2717-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=x-ai%2Fgrok-imagine-image-2.0&amp;route=Ultra&amp;caller=x-ai%2Fgrok-imagine-image-2.0&amp;fmt=images\"><code>x-ai/grok-imagine-image-2.0</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=x-ai%2Fgrok-imagine-image-2.0&amp;route=Ultra&amp;caller=x-ai%2Fgrok-imagine-image-2.0&amp;fmt=images\"><code>x-ai/grok-imagine-image-2.0</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "x-ai/grok-imagine-image-2.0",
        "fmt": "images",
        "http": "POST",
        "path": "/v1/images/generations",
        "request_model_id": "x-ai/grok-imagine-image-2.0",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|images|/v1/images/generations|x-ai%2Fgrok-imagine-image-2.0",
      "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": [
                  "x-ai/grok-imagine-image-2.0"
                ],
                "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",
                  "3:4",
                  "4:3",
                  "9:16",
                  "16:9",
                  "2:3",
                  "3:2",
                  "9:19.5",
                  "19.5:9",
                  "9:20",
                  "20:9",
                  "1:2",
                  "2:1",
                  "auto"
                ],
                "enum_known": true,
                "name": "aspect_ratio",
                "required": false,
                "type": "string"
              },
              {
                "enum": [
                  "low",
                  "medium"
                ],
                "enum_known": true,
                "name": "quality",
                "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": 3,
                "minimum_items": 0,
                "name": "input_references",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "aspect_ratio": {
                  "enum": [
                    "1:1",
                    "3:4",
                    "4:3",
                    "9:16",
                    "16:9",
                    "2:3",
                    "3:2",
                    "9:19.5",
                    "19.5:9",
                    "9:20",
                    "20:9",
                    "1:2",
                    "2:1",
                    "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": 3,
                  "minItems": 0,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "x-ai/grok-imagine-image-2.0"
                  ],
                  "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"
                },
                "quality": {
                  "enum": [
                    "low",
                    "medium"
                  ],
                  "type": "string"
                },
                "resolution": {
                  "enum": [
                    "1K",
                    "2K"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "x-ai/grok-imagine-image-2.0",
                "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": "input image",
            "units": [
              {
                "amount": "0.02",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input",
                "label": "input image",
                "native_amount_usd_per_unit": "0.02",
                "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"
              }
            ]
          },
          {
            "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": "0.08",
                "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": "0.08",
                "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': 'x-ai/grok-imagine-image-2.0', '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",
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                "side": "out",
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              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
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                "key": "cache_read_price",
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                "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"
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              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
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                "public_unit_label": "/ 1K tokens",
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                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input image"
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            "label": "input image",
            "units": [
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                "amount": "0.02",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input",
                "label": "input image",
                "native_amount_usd_per_unit": "0.02",
                "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"
              }
            ]
          },
          {
            "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": "0.08",
                "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": "0.08",
                "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": "x-ai/grok-imagine-image-2.0",
        "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",
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            "native_unit": "input_token",
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            "rate_role": "typed_native_retail_rate",
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            "unit": "input_token"
          },
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            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
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            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
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            "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",
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            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
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          },
          {
            "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": "0.02",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "image_input",
            "label": "input image",
            "native_amount_usd_per_unit": "0.02",
            "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": "0.08",
            "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": "0.08",
            "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": "x-ai/grok-imagine-image-2.0",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "c37046e34b666a85f3b5f504c4810822da157d41b3a9dc4661a4eca59437ca1e",
    "input_html_sha256": "c8787067d83b80342f00ea09bd68f0adae3e8f5f43ad2f3d686ebf6c980cc0e5",
    "private_audit_sha256": "b61dddd4ee5f895f5d558162ead97a7868b9b963e4d9da338761c8c4256fd5c7",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/zh-hant-tw/x-ai-grok-imagine-image-2-0/",
    "description": "Grok Imagine Image 2.0 可依照文字需求說明建立圖片，也能透過自然語言指令編輯現有圖片。xAI 文件說明了可設定的品質、解析度與構圖、多張圖片參考、風格轉換及逐步精修功能。",
    "locale": "zh-hant-tw",
    "md_url": "https://ailoot.ai/models/zh-hant-tw/x-ai-grok-imagine-image-2-0/index.md",
    "title": "xAI: Grok Imagine Image 2.0 — Ailoot",
    "url": "https://ailoot.ai/models/zh-hant-tw/x-ai-grok-imagine-image-2-0/"
  },
  "rawModel": {
    "about": "Grok Imagine Image 2.0 是 xAI 的圖片生成與編輯模型。它接收文字描述，或文字描述搭配來源圖片，並傳回圖片結果。原廠命名的 2.0 設定涵蓋場景建立、現有圖片修改、結合參考圖片中的主體，以及視覺風格轉換。開始時，先決定需要建立全新構圖，還是針對既有素材進行特定修改。\n\n### 依照需求說明建立圖片\n\n描述主要主體、所處環境、構圖、光線與視覺處理方式。指出希望觀眾最先注意到什麼，以及圖片將用在哪裡。產品概念的示範需求可以描述：一盞陶瓷檯燈放在淺色石桌上，柔和窗光、近距離呈現材質，並留出空間供後續另加標題。製作插畫時，請說明角色、動作與預期美感，不要期待單一風格詞就能定義整個場景。\n\n原廠文件說明，一次生成請求可輸出 1 至 10 張圖片，預設為 1 張。同一份需求產生的多個結果，可提供不同方案供審視，但不保證每個變化版本都有完全相同的主體。檢查主體、構圖與重要細節，並保留最符合需求的版本。將需求說明與選定版本一併保存，讓後續編輯沿用原本的構圖意圖。\n\n### 構圖、解析度與品質\n\n生成指南記載可自動選擇長寬比，也可明確指定比例。列出的選項包括 1:1、16:9、9:16、4:3、3:4、3:2、2:3、2:1、1:2、19.5:9、9:19.5、20:9、9:20、21:9 與 5:2。依照預定放置位置選擇畫面形狀：小型圖塊適合正方形，直向構圖適合縱向比例，寬廣場景則適合橫向比例。請明確描述裁切會影響的主體，以及版面所需的留白，不要只依賴長寬比。\n\n文件中的生成解析度設定為 1k 與 2k，預設為 1k。品質是獨立控制項，可選 low、medium 與 auto。xAI 現行指南以 auto 為預設值，生成時使用 low，編輯時使用 medium；明確選擇 low 或 medium 即可固定該設定。因此，解析度與品質是不同的控制項。請指出重要視覺細節，並在傳回圖片中檢查，而不要將任何一項設定視為文字、幾何結構或主體保留程度必定精確的保證。\n\n### 編輯與視覺風格轉換\n\n提供要修改的圖片，並依照其中可見內容描述所需變更。聚焦的編輯需求可以要求將深色牆面換成淺色灰泥表面，同時保留家具排列、拍攝視角與溫暖照明。如果目的是風格轉換，請指定期望的處理方式：原廠展示了攝影、動漫、油畫、水彩、普普藝術及鉛筆素描風格。說明哪些元素應保留外觀，哪些可隨風格處理而改變。\n\n原廠編輯流程接受來源圖片參照、編碼圖片資料或檔案識別碼。使用已儲存的參照時，請採用已完整上傳的 PNG、JPEG 或 WebP 圖片。指南也記載了連續編輯：將前一次編輯結果作為下一次輸入。例如，先更換家具，再調整光線，逐步讓基礎構圖成為更具體的結果。將原圖與選定的中間圖片，和各次需求說明建立對應關係，讓後續精修能依照預期構圖檢查。\n\n### 結合多張參考圖片\n\n現行多圖指南允許一次編輯使用最多 5 張來源圖片。依照提供順序指稱各張圖片，並分配清楚的角色，例如採用第一張的主體與第二張的環境。輸出比例預設沿用第一張輸入圖片，也可明確指定其他比例取代。製作產品置於室內的概念圖時，描述產品的位置、尺寸及與室內表面的接觸關係，再要求保留辨識產品所需的細節。檢查來源素材如何結合，不要假設每個元素都原封不動地複製。\n\n### 接收與保存圖片\n\n原廠預設傳回暫時性的圖片網址，也記載了編碼圖片輸出方式。需要作為素材使用時，請及時保存實際圖片。選用延後處理流程時，請求確認與完成會分開：取得請求識別碼後，狀態依序可能為 pending、done 或 failed；延後處理結果使用網址回應格式，文件記載保存期限為 24 小時。已送出請求或 pending 狀態都不代表圖片已完成。請將完成圖片與需求說明、選定設定一併保存，方便日後重用。\n\n有用的最終成果，應是一張符合明確場景、版面或編輯需求的圖片。檢查完整構圖與細部，尤其是來源主體、物件邊界、比例，以及任何承載意義的文字。進行反覆修改時，調整與可見問題相關的指令，並使用選定結果作為下一次參考。具體說明要修改與保留的內容，才能依照明確的創作用途評估每次結果。",
    "alias_of": null,
    "aliases": [],
    "author": "xAI",
    "capabilities": {
      "context_length": 65536,
      "manufacturer_input": [
        "text",
        "image"
      ],
      "manufacturer_output": [
        "image"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.08",
            "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": "0.08",
            "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": "x-ai/grok-imagine-image-2.0",
    "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": [
                  "x-ai/grok-imagine-image-2.0"
                ],
                "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",
                  "3:4",
                  "4:3",
                  "9:16",
                  "16:9",
                  "2:3",
                  "3:2",
                  "9:19.5",
                  "19.5:9",
                  "9:20",
                  "20:9",
                  "1:2",
                  "2:1",
                  "auto"
                ],
                "enum_known": true,
                "name": "aspect_ratio",
                "required": false,
                "type": "string"
              },
              {
                "enum": [
                  "low",
                  "medium"
                ],
                "enum_known": true,
                "name": "quality",
                "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": 3,
                "minimum_items": 0,
                "name": "input_references",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "aspect_ratio": {
                  "enum": [
                    "1:1",
                    "3:4",
                    "4:3",
                    "9:16",
                    "16:9",
                    "2:3",
                    "3:2",
                    "9:19.5",
                    "19.5:9",
                    "9:20",
                    "20:9",
                    "1:2",
                    "2:1",
                    "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": 3,
                  "minItems": 0,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "x-ai/grok-imagine-image-2.0"
                  ],
                  "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"
                },
                "quality": {
                  "enum": [
                    "low",
                    "medium"
                  ],
                  "type": "string"
                },
                "resolution": {
                  "enum": [
                    "1K",
                    "2K"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "x-ai/grok-imagine-image-2.0",
                "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": "input image",
            "units": [
              {
                "amount": "0.02",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input",
                "label": "input image",
                "native_amount_usd_per_unit": "0.02",
                "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"
              }
            ]
          },
          {
            "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": "0.08",
                "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": "0.08",
                "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': 'x-ai/grok-imagine-image-2.0', '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": "0.02",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_input",
                "label": "input image",
                "native_amount_usd_per_unit": "0.02",
                "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"
              }
            ]
          },
          {
            "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": "0.08",
                "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": "0.08",
                "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": "x-ai/grok-imagine-image-2.0",
        "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": "0.02",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "image_input",
            "label": "input image",
            "native_amount_usd_per_unit": "0.02",
            "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": "0.08",
            "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": "0.08",
            "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": "x-ai/grok-imagine-image-2.0",
        "request_model_id": "x-ai/grok-imagine-image-2.0",
        "route_label": "Ultra"
      }
    ],
    "name": "xAI: Grok Imagine Image 2.0",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 0.08,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 0.08,
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    "short": "Grok Imagine Image 2.0 可依照文字需求說明建立圖片，也能透過自然語言指令編輯現有圖片。xAI 文件說明了可設定的品質、解析度與構圖、多張圖片參考、風格轉換及逐步精修功能。"
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    "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."
  },
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          "html_json_pointer": "/methods/0/html",
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    "raw_input": {
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      "json_pointers": [
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      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Grok Imagine Image 2.0 可依照文字需求說明建立圖片，也能透過自然語言指令編輯現有圖片。xAI 文件說明了可設定的品質、解析度與構圖、多張圖片參考、風格轉換及逐步精修功能。",
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    "raw_model_json_sha256": "2425306b7e80a2bcf47a631fdb6f8ae32e1feafacfb206903bcb1cb1f2552f00",
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}