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  "aboutHtml": "<p>Seedream 5.0 Lite is ByteDance Seed’s image-creation model for turning a written brief and visual references into new or edited images. Its defining improvement is how it interprets the relationship between a request, the supplied pictures and relevant world knowledge. The manufacturer presents Lite as an advance in understanding and reasoning, rather than simply a resolution or speed upgrade.</p><p>Visual reasoning before drawing The model can use an image as a problem to interpret, not merely a style sample. This is useful when a picture depends on an arrangement, an assembly or a change in state. For a teaching visual, supply the original diagram, state the change and list the relationships that must remain visible. For example: “Show the same pulley arrangement after the load rises; keep the rope path and label the direction of movement.” Treat the result as an illustration to inspect against the underlying explanation.</p><p>Information visualization Lite’s knowledge-driven image creation supports explanatory diagrams and infographics. A good brief includes the facts to show, the intended audience and the order in which the reader should understand them. Separate the content from the art direction: first provide the approved labels and relationships, then request a restrained palette, clear arrows and room around each label. For a training slide, ask for a diagram of a water-filtration process with the stages in order, rather than a decorative image of a factory. Read the finished labels and trace each arrow before putting the graphic into a presentation.</p><p>Search-enhanced creative work The maker describes an optional real-time search workflow for information that changes over time. Use it when the visual depends on current material, and keep the search question separate from the desired composition. A useful brief specifies the location, period and facts to obtain, then describes the final image. If you already have approved data, provide that data directly so the visual has a clear factual target. Search-assisted creation still needs a comparison between the selected information and the rendered wording or numbers; a plausible-looking image does not establish that every fact is correct.</p><p>Reference-based style and colour Style transfer uses a reference to communicate visual qualities that are awkward to express in words. For an illustrated announcement, supply the content image and a separate style reference, then identify which one controls the subject and which controls texture, palette or brushwork. “Keep the building and viewing angle from Image 1; use only the muted colours and paper texture from Image 2” makes the roles explicit. Review whether the source identity and layout survive the restyling, especially when the reference contains unrelated objects you do not want copied.</p><p>Targeted edits and change relationships Lite also interprets local changes and replacements while aiming to retain the surrounding picture. A precise edit brief names the desired change and the features to preserve. For a catalogue photo, request a different background treatment while retaining the object’s proportions, label and angle. If a pair of examples shows a transformation, describe that pair and ask for the same transformation on the new input. Give each image a clear role; avoid several conflicting references with no indication of priority. Compare small details outside the edited area, not only the region that changed.</p><p>Several subjects in one composition Complex briefs can assign different attributes and positions to several objects. Prepare a compact layout description: identify each object, its location, colour and distinguishing feature, then state the overall camera and lighting treatment. For a classroom illustration, specify a labelled arrangement of tools with one distinct item per position. Inspect the result position by position. The producer’s multi-subject demonstrations are examples of instruction following, rather than a promise that every count, letter or spatial relation will always be reproduced exactly.</p><p>Preparing and using the result Use a text brief for a new scene, and add reference images when identity, source structure or a particular visual treatment matters. The manufacturer’s image workflow accepts up to 14 references and can return one image or a related image set; references and generated images together must total no more than 15. Reference files can be JPEG, PNG, WebP, BMP, TIFF, GIF, HEIC or HEIF, up to 30 MB each, with both sides above 14 pixels, 196–36,000,000 total pixels and an aspect ratio from 1:16 to 16:1. Output choices are 2K, 3K and 4K or custom dimensions with 3,686,400–16,777,216 total pixels and the same ratio range. The producer interface defaults to 2048×2048, returns JPEG or PNG, and can deliver each completed image as it becomes ready. Download links expire within 24 hours; encoded image data is the alternative response form. These settings describe the manufacturer’s workflow. Supply exact wording for text that must appear, identify the changes in an edit and describe the expected composition. The result is image artwork for slides, explanation, marketing concepts or further design work. Keep essential factual content in a separate editable source so corrections do not depend on reading it back from pixels. The maker identifies structural stability, realism and aesthetics as areas with room to improve: review geometry, material appearance and repeated details at the size where the image will be used.</p>",
  "aboutText": "Seedream 5.0 Lite is ByteDance Seed’s image-creation model for turning a written brief and visual references into new or edited images. Its defining improvement is how it interprets the relationship between a request, the supplied pictures and relevant world knowledge. The manufacturer presents Lite as an advance in understanding and reasoning, rather than simply a resolution or speed upgrade.\n\nVisual reasoning before drawing\nThe model can use an image as a problem to interpret, not merely a style sample. This is useful when a picture depends on an arrangement, an assembly or a change in state. For a teaching visual, supply the original diagram, state the change and list the relationships that must remain visible. For example: “Show the same pulley arrangement after the load rises; keep the rope path and label the direction of movement.” Treat the result as an illustration to inspect against the underlying explanation.\n\nInformation visualization\nLite’s knowledge-driven image creation supports explanatory diagrams and infographics. A good brief includes the facts to show, the intended audience and the order in which the reader should understand them. Separate the content from the art direction: first provide the approved labels and relationships, then request a restrained palette, clear arrows and room around each label. For a training slide, ask for a diagram of a water-filtration process with the stages in order, rather than a decorative image of a factory. Read the finished labels and trace each arrow before putting the graphic into a presentation.\n\nSearch-enhanced creative work\nThe maker describes an optional real-time search workflow for information that changes over time. Use it when the visual depends on current material, and keep the search question separate from the desired composition. A useful brief specifies the location, period and facts to obtain, then describes the final image. If you already have approved data, provide that data directly so the visual has a clear factual target. Search-assisted creation still needs a comparison between the selected information and the rendered wording or numbers; a plausible-looking image does not establish that every fact is correct.\n\nReference-based style and colour\nStyle transfer uses a reference to communicate visual qualities that are awkward to express in words. For an illustrated announcement, supply the content image and a separate style reference, then identify which one controls the subject and which controls texture, palette or brushwork. “Keep the building and viewing angle from Image 1; use only the muted colours and paper texture from Image 2” makes the roles explicit. Review whether the source identity and layout survive the restyling, especially when the reference contains unrelated objects you do not want copied.\n\nTargeted edits and change relationships\nLite also interprets local changes and replacements while aiming to retain the surrounding picture. A precise edit brief names the desired change and the features to preserve. For a catalogue photo, request a different background treatment while retaining the object’s proportions, label and angle. If a pair of examples shows a transformation, describe that pair and ask for the same transformation on the new input. Give each image a clear role; avoid several conflicting references with no indication of priority. Compare small details outside the edited area, not only the region that changed.\n\nSeveral subjects in one composition\nComplex briefs can assign different attributes and positions to several objects. Prepare a compact layout description: identify each object, its location, colour and distinguishing feature, then state the overall camera and lighting treatment. For a classroom illustration, specify a labelled arrangement of tools with one distinct item per position. Inspect the result position by position. The producer’s multi-subject demonstrations are examples of instruction following, rather than a promise that every count, letter or spatial relation will always be reproduced exactly.\n\nPreparing and using the result\nUse a text brief for a new scene, and add reference images when identity, source structure or a particular visual treatment matters. The manufacturer’s image workflow accepts up to 14 references and can return one image or a related image set; references and generated images together must total no more than 15. Reference files can be JPEG, PNG, WebP, BMP, TIFF, GIF, HEIC or HEIF, up to 30 MB each, with both sides above 14 pixels, 196–36,000,000 total pixels and an aspect ratio from 1:16 to 16:1. Output choices are 2K, 3K and 4K or custom dimensions with 3,686,400–16,777,216 total pixels and the same ratio range. The producer interface defaults to 2048×2048, returns JPEG or PNG, and can deliver each completed image as it becomes ready. Download links expire within 24 hours; encoded image data is the alternative response form. These settings describe the manufacturer’s workflow. Supply exact wording for text that must appear, identify the changes in an edit and describe the expected composition. The result is image artwork for slides, explanation, marketing concepts or further design work. Keep essential factual content in a separate editable source so corrections do not depend on reading it back from pixels. The maker identifies structural stability, realism and aesthetics as areas with room to improve: review geometry, material appearance and repeated details at the size where the image will be used.",
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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 Lite</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Close\">×</button></div><div class=\"idline\"><span>ByteDance Seed /</span><code>bytedance-seed/seedream-5-0-lite</code><button type=\"button\" id=\"copy-id\">Copy ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Model card sections\"><button type=\"button\" data-card-jump=\"overview\">Overview</button><button type=\"button\" data-card-jump=\"methods\">Inputs &amp; methods</button><button type=\"button\" data-card-jump=\"pricing\">Pricing</button><button type=\"button\" data-card-jump=\"examples\">Examples</button><button type=\"button\" data-card-jump=\"results\">Results</button><button type=\"button\" data-card-jump=\"aliases\">Aliases</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API methods\"><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-lite\">Images</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\">Overview</h3><p class=\"mdesc-full\">Seedream 5.0 Lite combines image generation and editing with visual reasoning, reference-based style transfer and optional real-time search. It suits explanatory graphics, presentation visuals and targeted revisions where the relationships between objects matter as much as appearance.</p><dl class=\"card-io\" data-card-io><div><dt>Accepted inputs</dt><dd>Text · Images</dd></div><div><dt>Results</dt><dd>Images</dd></div></dl><details class=\"card-about\"><summary>About the model</summary><p class=\"note-s\" data-model-method-boundary>This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.</p><div class=\"mabout\" id=\"m-about\"><p>Seedream 5.0 Lite is ByteDance Seed’s image-creation model for turning a written brief and visual references into new or edited images. Its defining improvement is how it interprets the relationship between a request, the supplied pictures and relevant world knowledge. The manufacturer presents Lite as an advance in understanding and reasoning, rather than simply a resolution or speed upgrade.</p><p>Visual reasoning before drawing The model can use an image as a problem to interpret, not merely a style sample. This is useful when a picture depends on an arrangement, an assembly or a change in state. For a teaching visual, supply the original diagram, state the change and list the relationships that must remain visible. For example: “Show the same pulley arrangement after the load rises; keep the rope path and label the direction of movement.” Treat the result as an illustration to inspect against the underlying explanation.</p><p>Information visualization Lite’s knowledge-driven image creation supports explanatory diagrams and infographics. A good brief includes the facts to show, the intended audience and the order in which the reader should understand them. Separate the content from the art direction: first provide the approved labels and relationships, then request a restrained palette, clear arrows and room around each label. For a training slide, ask for a diagram of a water-filtration process with the stages in order, rather than a decorative image of a factory. Read the finished labels and trace each arrow before putting the graphic into a presentation.</p><p>Search-enhanced creative work The maker describes an optional real-time search workflow for information that changes over time. Use it when the visual depends on current material, and keep the search question separate from the desired composition. A useful brief specifies the location, period and facts to obtain, then describes the final image. If you already have approved data, provide that data directly so the visual has a clear factual target. Search-assisted creation still needs a comparison between the selected information and the rendered wording or numbers; a plausible-looking image does not establish that every fact is correct.</p><p>Reference-based style and colour Style transfer uses a reference to communicate visual qualities that are awkward to express in words. For an illustrated announcement, supply the content image and a separate style reference, then identify which one controls the subject and which controls texture, palette or brushwork. “Keep the building and viewing angle from Image 1; use only the muted colours and paper texture from Image 2” makes the roles explicit. Review whether the source identity and layout survive the restyling, especially when the reference contains unrelated objects you do not want copied.</p><p>Targeted edits and change relationships Lite also interprets local changes and replacements while aiming to retain the surrounding picture. A precise edit brief names the desired change and the features to preserve. For a catalogue photo, request a different background treatment while retaining the object’s proportions, label and angle. If a pair of examples shows a transformation, describe that pair and ask for the same transformation on the new input. Give each image a clear role; avoid several conflicting references with no indication of priority. Compare small details outside the edited area, not only the region that changed.</p><p>Several subjects in one composition Complex briefs can assign different attributes and positions to several objects. Prepare a compact layout description: identify each object, its location, colour and distinguishing feature, then state the overall camera and lighting treatment. For a classroom illustration, specify a labelled arrangement of tools with one distinct item per position. Inspect the result position by position. The producer’s multi-subject demonstrations are examples of instruction following, rather than a promise that every count, letter or spatial relation will always be reproduced exactly.</p><p>Preparing and using the result Use a text brief for a new scene, and add reference images when identity, source structure or a particular visual treatment matters. The manufacturer’s image workflow accepts up to 14 references and can return one image or a related image set; references and generated images together must total no more than 15. Reference files can be JPEG, PNG, WebP, BMP, TIFF, GIF, HEIC or HEIF, up to 30 MB each, with both sides above 14 pixels, 196–36,000,000 total pixels and an aspect ratio from 1:16 to 16:1. Output choices are 2K, 3K and 4K or custom dimensions with 3,686,400–16,777,216 total pixels and the same ratio range. The producer interface defaults to 2048×2048, returns JPEG or PNG, and can deliver each completed image as it becomes ready. Download links expire within 24 hours; encoded image data is the alternative response form. These settings describe the manufacturer’s workflow. Supply exact wording for text that must appear, identify the changes in an edit and describe the expected composition. The result is image artwork for slides, explanation, marketing concepts or further design work. Keep essential factual content in a separate editable source so corrections do not depend on reading it back from pixels. The maker identifies structural stability, realism and aesthetics as areas with room to improve: review geometry, material appearance and repeated details at the size where the image will be used.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Available in Ailoot · inputs &amp; methods</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Images</b> <code>POST /v1/images/generations</code></summary><dl class=\"method-capabilities\"><div><dt>Input types</dt><dd><code>text</code>, <code>image</code></dd></div><div><dt>Output types</dt><dd><code>image</code></dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Field</th><th>Type</th><th>Requirement</th><th>Values &amp; limits</th><th>Default</th></tr></thead><tbody><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>bytedance-seed/seedream-5-0-lite</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">prompt</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>Minimum length: 1</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">resolution</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Optional</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>2K, 4K</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">aspect_ratio</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Optional</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</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=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">n</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>integer</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Optional</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>Minimum: 1</div><div>Maximum: 4</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">input_references</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>array</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Optional</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>Minimum items: 0</div><div>Maximum items: 14</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">provider</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>object</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Optional</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Method parameters and lifecycle</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Contract</th></tr></thead><tbody><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>content_type</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>application/json</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>required</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>model, prompt</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>material_types</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>text, image</td></tr></tbody></table></div><p>Lifecycle: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · actual returned task_id or media library record</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\">Pricing</h3><div class=\"card-result-process\" data-billing-basis><h5>How the final charge is calculated</h5><p class=\"note-s\">The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.</p></div><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tariff references do not add request options. Supported parameters are listed for the selected method.</p><dl data-price-conditions><dt>Fast mode</dt><dd>Not specified <span class=\"note-s\">When fast mode is selected</span></dd><dt>Flex mode</dt><dd>Not specified <span class=\"note-s\">When flex mode is selected</span></dd><dt>Maximum reasoning effort</dt><dd>Not specified <span class=\"note-s\">When maximum reasoning effort uses the default adjustment</span></dd></dl></div><div data-declared-tariff-pricing><h4>Estimated rates for comparison</h4><h4>Prices by configuration</h4><p class=\"note-s\">Match each charge to the conditions shown. Use one rate for each set of alternative configurations.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Configuration</th><th>Rate schedule</th><th>Forecast quantity</th><th>Billing unit</th><th>Charge</th></tr></thead><tbody><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>Base token rates</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>Base rate</td><td data-cell-label=\"Forecast quantity\"><span class=\"card-cell-label\">Forecast quantity</span>—</td><td data-cell-label=\"Billing unit\"><span class=\"card-cell-label\">Billing unit</span>—</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · Input tokens · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Output · Output tokens · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache read · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache write · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache write, 1 hour · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div></td></tr><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>input image</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>—</td><td data-cell-label=\"Forecast quantity\"><span class=\"card-cell-label\">Forecast quantity</span>—</td><td data-cell-label=\"Billing unit\"><span class=\"card-cell-label\">Billing unit</span>per input image</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · input image · Estimate for comparison only</span> <b>$0</b> <span class=\"price-unit\">per input image</span></div></td></tr><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>output image</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>—</td><td data-cell-label=\"Forecast quantity\"><span class=\"card-cell-label\">Forecast quantity</span>—</td><td data-cell-label=\"Billing unit\"><span class=\"card-cell-label\">Billing unit</span>per output image</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Output · output image · Estimate for comparison only</span> <b>$0.07</b> <span class=\"price-unit\">per output image</span></div></td></tr><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>Estimated generation cost</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>—</td><td data-cell-label=\"Forecast quantity\"><span class=\"card-cell-label\">Forecast quantity</span>one generation estimate</td><td data-cell-label=\"Billing unit\"><span class=\"card-cell-label\">Billing unit</span>—</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Output · Estimated generation cost · Estimate for comparison only</span> <b>$0.07</b> <span class=\"price-unit\">estimate before generation</span></div><p class=\"note-s\">This estimate is not an additional charge or a fixed rate for the completed generation.</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. <a href=\"/docs/en/billing/reserve/\">How reservation and settlement work →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Example requests</h3><h4>Ailoot Ultra · Images</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Code options\"><button class=\"cg-tab\" id=\"model-code-1124-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1124-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Copy code\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1124-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1124-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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-lite&#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\">Receive and save results</h3><h4>Ailoot Ultra · Images</h4><p class=\"note-s\">Download each returned image or save its Base64 contents</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>Other content reads</summary><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Code options\"><button class=\"cg-tab\" id=\"model-code-1125-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1125-panel-0\" aria-selected=\"true\" tabindex=\"0\">Read existing owned assets</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Copy code\"><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-1125-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1125-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>Keep all completed results</h5><p class=\"note-s\">Save every completed image; retrieve each returned URL or decode its Base64 contents.</p><p class=\"note-s\">Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>If the original response needs checking</h5><p class=\"note-s\">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.</p></div><details class=\"card-about\" data-output-fields><summary>Response fields</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Field</th><th>Type</th></tr></thead><tbody><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">created</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span></td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">data[].url</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span></td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">data[].b64_json</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span></td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span></td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Aliases</h3><h4>Model aliases</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=bytedance-seed%2Fseedream-5-0-lite&amp;route=Ultra&amp;caller=bytedance-seed%2Fseedream-5-0-lite&amp;fmt=images\"><code>bytedance-seed/seedream-5-0-lite</code></a></span></p><h4>Method path aliases</h4><p class=\"note-s\"><code>/v1/images</code></p><h4>Related caller IDs</h4><p class=\"note-s\"><a href=\"#m=bytedance-seed%2Fseedream-5-0-lite&amp;route=Ultra&amp;caller=bytedance-seed%2Fseedream-5-0-lite&amp;fmt=images\"><code>bytedance-seed/seedream-5-0-lite</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "bytedance-seed/seedream-5-0-lite",
        "fmt": "images",
        "http": "POST",
        "path": "/v1/images/generations",
        "request_model_id": "bytedance-seed/seedream-5-0-lite",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|images|/v1/images/generations|bytedance-seed%2Fseedream-5-0-lite",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.",
          "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": "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."
            },
            "outputs": {
              "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
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "bytedance-seed/seedream-5-0-lite"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "min_length": 1,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "enum": [
                  "2K",
                  "4K"
                ],
                "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": 4,
                "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-lite"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 4,
                  "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": [
                    "2K",
                    "4K"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "bytedance-seed/seedream-5-0-lite",
                "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": "actual returned task_id or media library record",
                "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",
                "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",
                "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": "0.07",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output",
                "label": "output image",
                "native_amount_usd_per_unit": "0.07",
                "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": "0.07",
                "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": "0.07",
                "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-lite', '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": "Images",
        "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",
                "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",
                "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": "0.07",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output",
                "label": "output image",
                "native_amount_usd_per_unit": "0.07",
                "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": "0.07",
                "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": "0.07",
                "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-lite",
        "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",
            "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",
            "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": "0.07",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "image_output",
            "label": "output image",
            "native_amount_usd_per_unit": "0.07",
            "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": "0.07",
            "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": "0.07",
            "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-lite",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "16fbb5ed760689a51dcee7c1ca137b3acdfd688ecf8829289ba046d5693f49e8",
    "input_html_sha256": "71976ce166493c23a5d09dfc2d2b750082f2cb2a09e1cc29b12e1970c8c2deb5",
    "private_audit_sha256": "a8802497bd5a94642d3d6cc0512e0f350a66c833213cef5e97d43441850fe331",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/en/bytedance-seed-seedream-5-0-lite/",
    "description": "Seedream 5.0 Lite combines image generation and editing with visual reasoning, reference-based style transfer and optional real-time search. It suits explanatory graphics, presentation visuals and targeted revisions where the relationships between objects matter as much as appearance.",
    "locale": "en",
    "md_url": "https://ailoot.ai/models/en/bytedance-seed-seedream-5-0-lite/index.md",
    "title": "ByteDance Seed: Seedream 5.0 Lite — Ailoot",
    "url": "https://ailoot.ai/models/en/bytedance-seed-seedream-5-0-lite/"
  },
  "rawModel": {
    "about": "Seedream 5.0 Lite is ByteDance Seed’s image-creation model for turning a written brief and visual references into new or edited images. Its defining improvement is how it interprets the relationship between a request, the supplied pictures and relevant world knowledge. The manufacturer presents Lite as an advance in understanding and reasoning, rather than simply a resolution or speed upgrade.\n\nVisual reasoning before drawing\nThe model can use an image as a problem to interpret, not merely a style sample. This is useful when a picture depends on an arrangement, an assembly or a change in state. For a teaching visual, supply the original diagram, state the change and list the relationships that must remain visible. For example: “Show the same pulley arrangement after the load rises; keep the rope path and label the direction of movement.” Treat the result as an illustration to inspect against the underlying explanation.\n\nInformation visualization\nLite’s knowledge-driven image creation supports explanatory diagrams and infographics. A good brief includes the facts to show, the intended audience and the order in which the reader should understand them. Separate the content from the art direction: first provide the approved labels and relationships, then request a restrained palette, clear arrows and room around each label. For a training slide, ask for a diagram of a water-filtration process with the stages in order, rather than a decorative image of a factory. Read the finished labels and trace each arrow before putting the graphic into a presentation.\n\nSearch-enhanced creative work\nThe maker describes an optional real-time search workflow for information that changes over time. Use it when the visual depends on current material, and keep the search question separate from the desired composition. A useful brief specifies the location, period and facts to obtain, then describes the final image. If you already have approved data, provide that data directly so the visual has a clear factual target. Search-assisted creation still needs a comparison between the selected information and the rendered wording or numbers; a plausible-looking image does not establish that every fact is correct.\n\nReference-based style and colour\nStyle transfer uses a reference to communicate visual qualities that are awkward to express in words. For an illustrated announcement, supply the content image and a separate style reference, then identify which one controls the subject and which controls texture, palette or brushwork. “Keep the building and viewing angle from Image 1; use only the muted colours and paper texture from Image 2” makes the roles explicit. Review whether the source identity and layout survive the restyling, especially when the reference contains unrelated objects you do not want copied.\n\nTargeted edits and change relationships\nLite also interprets local changes and replacements while aiming to retain the surrounding picture. A precise edit brief names the desired change and the features to preserve. For a catalogue photo, request a different background treatment while retaining the object’s proportions, label and angle. If a pair of examples shows a transformation, describe that pair and ask for the same transformation on the new input. Give each image a clear role; avoid several conflicting references with no indication of priority. Compare small details outside the edited area, not only the region that changed.\n\nSeveral subjects in one composition\nComplex briefs can assign different attributes and positions to several objects. Prepare a compact layout description: identify each object, its location, colour and distinguishing feature, then state the overall camera and lighting treatment. For a classroom illustration, specify a labelled arrangement of tools with one distinct item per position. Inspect the result position by position. The producer’s multi-subject demonstrations are examples of instruction following, rather than a promise that every count, letter or spatial relation will always be reproduced exactly.\n\nPreparing and using the result\nUse a text brief for a new scene, and add reference images when identity, source structure or a particular visual treatment matters. The manufacturer’s image workflow accepts up to 14 references and can return one image or a related image set; references and generated images together must total no more than 15. Reference files can be JPEG, PNG, WebP, BMP, TIFF, GIF, HEIC or HEIF, up to 30 MB each, with both sides above 14 pixels, 196–36,000,000 total pixels and an aspect ratio from 1:16 to 16:1. Output choices are 2K, 3K and 4K or custom dimensions with 3,686,400–16,777,216 total pixels and the same ratio range. The producer interface defaults to 2048×2048, returns JPEG or PNG, and can deliver each completed image as it becomes ready. Download links expire within 24 hours; encoded image data is the alternative response form. These settings describe the manufacturer’s workflow. Supply exact wording for text that must appear, identify the changes in an edit and describe the expected composition. The result is image artwork for slides, explanation, marketing concepts or further design work. Keep essential factual content in a separate editable source so corrections do not depend on reading it back from pixels. The maker identifies structural stability, realism and aesthetics as areas with room to improve: review geometry, material appearance and repeated details at the size where the image will be used.",
    "alias_of": null,
    "aliases": [],
    "author": "ByteDance Seed",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [
        "text",
        "image"
      ],
      "manufacturer_output": [
        "image"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.07",
            "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": "0.07",
            "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": "Full configuration pricing in details."
      }
    ],
    "ctx": null,
    "formats": [
      "images"
    ],
    "id": "bytedance-seed/seedream-5-0-lite",
    "input": [
      "text",
      "image"
    ],
    "kind": "image",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.",
          "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": "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."
            },
            "outputs": {
              "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
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "bytedance-seed/seedream-5-0-lite"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "min_length": 1,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "enum": [
                  "2K",
                  "4K"
                ],
                "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": 4,
                "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-lite"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 4,
                  "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": [
                    "2K",
                    "4K"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "bytedance-seed/seedream-5-0-lite",
                "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": "actual returned task_id or media library record",
                "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",
                "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",
                "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": "0.07",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output",
                "label": "output image",
                "native_amount_usd_per_unit": "0.07",
                "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": "0.07",
                "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": "0.07",
                "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-lite', '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": "Images",
        "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",
                "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",
                "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": "0.07",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "image_output",
                "label": "output image",
                "native_amount_usd_per_unit": "0.07",
                "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": "0.07",
                "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": "0.07",
                "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-lite",
        "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",
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