{"id":20344,"date":"2026-10-02T10:27:46","date_gmt":"2026-10-02T14:27:46","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=20344"},"modified":"2026-10-02T10:27:47","modified_gmt":"2026-10-02T14:27:47","slug":"openai-image-variations-api","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/fr\/hub\/openai-image-variations-api","title":{"rendered":"API \u00ab OpenAI Image Variations \u00bb : son fonctionnement et la route \u00e0 utiliser"},"content":{"rendered":"<aside aria-label=\"R\u00e9ponse rapide\" style=\"box-sizing:border-box;margin:22px 0;padding:19px 21px;border-top:3px solid #a24f63;border-bottom:1px solid #dcc8cd;background:#fbf4f5\"><strong style=\"display:block;margin-bottom:7px;color:#813c4d;font-size:14px;text-transform:uppercase\">R\u00e9ponse rapide<\/strong><p style=\"margin:0;color:#293f36;font-size:17px;line-height:1.65\">The OpenAI Image Variations API is a narrow, legacy-style endpoint for producing visual alternatives from an input image. It is useful when you want the same broad subject or composition expressed as several new images, but it is not the right tool for precise, instruction-led edits. It does not give you a natural-language prompt field for telling the model exactly what to preserve or change.<\/p><\/aside>\n\n\n\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\">\n<figure class=\"wp-block-image size-large\"><img alt=\"\" fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"540\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-6-1024x540.png\" class=\"wp-image-19115\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-6-1024x540.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-6-300x158.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-6-18x9.png 18w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-6-768x405.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-6-1536x810.png 1536w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-6.png 1812w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-3e41869c wp-block-buttons-is-layout-flex\">\n<div style=\"--wp--block-button--width: 50;\" class=\"wp-block-button has-custom-width wp-block-button__width wp-block-button__width-50\"><a class=\"wp-block-button__link has-white-color has-text-color has-background has-link-color wp-element-button\" href=\"https:\/\/www.glbgpt.com\/image-generator\/gpt-image-2-5?inviter=hub_content_gptimage25&amp;login=1\" style=\"background:linear-gradient(135deg,rgb(252,185,0) 33%,rgb(255,105,0) 74%)\"><strong>Essayez d\u00e8s maintenant GPT Image 2.5 sur GlobalGPT !<\/strong><\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<nav aria-label=\"Sommaire de l&#039;article\" style=\"box-sizing:border-box;margin:24px 0;padding:20px;border:1px solid #bdd3ca;border-left:6px solid #2f6f5b;border-radius:8px;background:#eef6f2\"><strong style=\"display:block;margin-bottom:10px;color:#173c31;font-size:17px\">Dans ce guide<\/strong><ol style=\"margin:0;padding-left:22px;columns:2;column-gap:34px\"><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#what-is-the-openai-image-variations-api\" style=\"color:#245f4c\">What Is the OpenAI Image Variations API?<\/a><\/li><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#the-most-important-limitation-variations-are-not-prompted-edits\" style=\"color:#245f4c\">The Most Important Limitation: Variations Are Not Prompted Edits<\/a><\/li><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#a-decision-framework-before-you-call-the-api\" style=\"color:#245f4c\">A Decision Framework Before You Call the API<\/a><\/li><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#input-preparation-small-details-decide-whether-the-request-works\" style=\"color:#245f4c\">Input Preparation: Small Details Decide Whether the Request Works<\/a><\/li><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#node-js-example-a-defensive-variations-request\" style=\"color:#245f4c\">Node.js Example: A Defensive Variations Request<\/a><\/li><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#python-example\" style=\"color:#245f4c\">Python Example<\/a><\/li><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#when-the-image-edit-api-is-the-better-answer\" style=\"color:#245f4c\">When the Image Edit API Is the Better Answer<\/a><\/li><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#a-low-cost-test-that-produces-useful-evidence\" style=\"color:#245f4c\">A Low-Cost Test That Produces Useful Evidence<\/a><\/li><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#error-handling-you-need-in-production\" style=\"color:#245f4c\">Error Handling You Need in Production<\/a><\/li><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#cost-planning-without-publishing-stale-prices\" style=\"color:#245f4c\">Cost Planning Without Publishing Stale Prices<\/a><\/li><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#when-globalgpt-is-the-simpler-workflow\" style=\"color:#245f4c\">When GlobalGPT Is the Simpler Workflow<\/a><\/li><li style=\"margin:6px 0;break-inside:avoid\"><a href=\"#practical-recommendation\" style=\"color:#245f4c\">Practical Recommendation<\/a><\/li><\/ol><\/nav>\n\n\n\n<h2 id=\"what-is-the-openai-image-variations-api\" class=\"wp-block-heading\">What Is the OpenAI Image Variations API?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">An image variation starts with an image rather than a text prompt. The service analyzes the source and returns one or more newly generated images that resemble it at a high level. Color, lighting, object details, texture, and composition can move between outputs. The result is a creative relative of the source, not a pixel-preserving duplicate.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Developers often discover the endpoint through older DALL-E examples. That history creates confusion because &#8220;variation&#8221; sounds like a general image-to-image feature. In practice, three different jobs are commonly grouped under that label:<\/p>\n\n\n\n<div style=\"overflow-x:auto;margin:20px 0\"><table style=\"border-collapse:collapse;width:100%;min-width:640px\"><thead><tr><th style=\"padding:9px;border-bottom:1px solid #cfd9d3;text-align:left;background:#e6eee8\">Emploi<\/th><th style=\"padding:9px;border-bottom:1px solid #cfd9d3;text-align:left;background:#e6eee8\">Best API concept<\/th><th style=\"padding:9px;border-bottom:1px solid #cfd9d3;text-align:left;background:#e6eee8\">Control level<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Create a new image from words<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">G\u00e9n\u00e9ration d'images<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Prompt controls the scene<\/td><\/tr><tr><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Change part or all of an existing image with instructions<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Image edit<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Prompt, source image, and sometimes a mask<\/td><\/tr><tr><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Ask for alternate interpretations of one image<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Image variation<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Source-driven, limited instruction control<\/td><\/tr><\/tbody><\/table><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">The endpoint is therefore best understood as a specialized route, not the default OpenAI image API. Current OpenAI image models may provide stronger generation and editing capabilities through other endpoints or the Responses API. Model support is not interchangeable: a model listed for generation is not automatically valid for variations, and an older examples page is not proof of current availability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Before coding, read the current model-and-endpoint compatibility table in OpenAI&#8217;s documentation. This article deliberately avoids claiming that a newly announced model supports a legacy route unless the official API reference says so.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Utilisez les OpenAI <a href=\"https:\/\/platform.openai.com\/docs\/guides\/images\">guide officiel de cr\u00e9ation d'images<\/a> for current workflow guidance, the <a href=\"https:\/\/platform.openai.com\/docs\/api-reference\/images\">Images API reference<\/a> for accepted fields and endpoint support, and the <a href=\"https:\/\/openai.com\/api\/pricing\/\">Page des tarifs de l'API<\/a> for current billing. Recheck all three when the implementation changes.<\/p>\n\n\n\n<h2 id=\"the-most-important-limitation-variations-are-not-prompted-edits\" class=\"wp-block-heading\">The Most Important Limitation: Variations Are Not Prompted Edits<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The most common implementation mistake is expecting this request:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Keep the shoe, change only the wall to pale green, preserve the logo, and add soft window light.<\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">That is an editing instruction. A variations request does not normally accept that kind of prompt. The service can return an image with a different shoe shape, altered logo, shifted camera angle, or changed color because semantic similarity is not identity preservation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Use variations when exploration is the goal. Use edits when constraints are the goal.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This rule also prevents a misleading product promise. A page that advertises &#8220;brand-consistent campaign variations&#8221; should not rely on a source-only stochastic endpoint without testing logo fidelity, product geometry, text rendering, and color accuracy. AI-generated text and small marks can drift even when the overall image looks convincing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If you need a broader set of image tools without maintaining separate provider accounts, GlobalGPT offers a practical workspace for comparing image generation and editing models. Its <a href=\"https:\/\/www.glbgpt.com\/hub\/best-ai-image-generators\/\">Comparatif des g\u00e9n\u00e9rateurs d'images bas\u00e9s sur l'IA<\/a> is useful for choosing a model by task, while the <a href=\"https:\/\/www.glbgpt.com\/hub\/globalgpt-image-edit\/\">Guide de retouche d'images GlobalGPT<\/a> focuses on instruction-led changes rather than source-only variations.<\/p>\n\n\n\n<h2 id=\"a-decision-framework-before-you-call-the-api\" class=\"wp-block-heading\">A Decision Framework Before You Call the API<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Ask five questions before choosing an endpoint.<\/p>\n\n\n\n<section data-visual=\"process-flow\" aria-label=\"Five decisions before an image request\" style=\"box-sizing:border-box;margin:24px 0;padding:22px;border:1px solid #b8cec5;border-radius:8px;background:#edf5f1\"><h3 style=\"margin:0 0 16px;color:#183b31;font:700 21px\/1.3 Georgia,serif\">Five decisions before an image request<\/h3><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(210px,1fr));gap:12px\"><article style=\"box-sizing:border-box;min-width:0;padding:16px;border-top:4px solid #2f705a;border-radius:6px;background:#fff;box-shadow:0 3px 10px rgba(35,67,55,.07)\"><span aria-hidden=\"true\" style=\"display:inline-grid;place-items:center;width:28px;height:28px;margin-bottom:9px;border-radius:50%;background:#183b31;color:#fff;font-weight:800\">1<\/span><h4 style=\"margin:0 0 8px;color:#203c33;font-size:16px;line-height:1.35\">1. Must a specific object remain identical?<\/h4><div style=\"color:#40564d;font-size:14px;line-height:1.58;overflow-wrap:anywhere\"><p style=\"margin:0 0 10px\">If the answer is yes, a pure variation is risky. Product shape, packaging text, facial identity, and logos are precisely the details generative systems tend to reinterpret. Prefer an edit, a masked composite, or a conventional graphics pipeline.<\/p><\/div><\/article><article style=\"box-sizing:border-box;min-width:0;padding:16px;border-top:4px solid #a45b6b;border-radius:6px;background:#fff;box-shadow:0 3px 10px rgba(35,67,55,.07)\"><span aria-hidden=\"true\" style=\"display:inline-grid;place-items:center;width:28px;height:28px;margin-bottom:9px;border-radius:50%;background:#183b31;color:#fff;font-weight:800\">2<\/span><h4 style=\"margin:0 0 8px;color:#203c33;font-size:16px;line-height:1.35\">2. Do you need to describe the change in words?<\/h4><div style=\"color:#40564d;font-size:14px;line-height:1.58;overflow-wrap:anywhere\"><p style=\"margin:0 0 10px\">If you must specify a background, lighting setup, lens, season, color palette, or aspect-ratio treatment, use a prompt-capable generation or editing route. A variation endpoint cannot reliably infer your intent from the source alone.<\/p><\/div><\/article><article style=\"box-sizing:border-box;min-width:0;padding:16px;border-top:4px solid #2f705a;border-radius:6px;background:#fff;box-shadow:0 3px 10px rgba(35,67,55,.07)\"><span aria-hidden=\"true\" style=\"display:inline-grid;place-items:center;width:28px;height:28px;margin-bottom:9px;border-radius:50%;background:#183b31;color:#fff;font-weight:800\">3<\/span><h4 style=\"margin:0 0 8px;color:#203c33;font-size:16px;line-height:1.35\">3. Is discovery more valuable than repeatability?<\/h4><div style=\"color:#40564d;font-size:14px;line-height:1.58;overflow-wrap:anywhere\"><p style=\"margin:0 0 10px\">Variations work well during ideation: mood exploration, rough art direction, stylistic branches, and thumbnail candidates. They are weaker when a legal reviewer expects only one approved element to change.<\/p><\/div><\/article><article style=\"box-sizing:border-box;min-width:0;padding:16px;border-top:4px solid #a45b6b;border-radius:6px;background:#fff;box-shadow:0 3px 10px rgba(35,67,55,.07)\"><span aria-hidden=\"true\" style=\"display:inline-grid;place-items:center;width:28px;height:28px;margin-bottom:9px;border-radius:50%;background:#183b31;color:#fff;font-weight:800\">4<\/span><h4 style=\"margin:0 0 8px;color:#203c33;font-size:16px;line-height:1.35\">4. Can you reject most outputs?<\/h4><div style=\"color:#40564d;font-size:14px;line-height:1.58;overflow-wrap:anywhere\"><p style=\"margin:0 0 10px\">The honest workflow includes selection. Generate a small batch, score every result against a checklist, and keep only outputs that pass. Do not make downstream automation assume the first image is acceptable.<\/p><\/div><\/article><article style=\"box-sizing:border-box;min-width:0;padding:16px;border-top:4px solid #2f705a;border-radius:6px;background:#fff;box-shadow:0 3px 10px rgba(35,67,55,.07)\"><span aria-hidden=\"true\" style=\"display:inline-grid;place-items:center;width:28px;height:28px;margin-bottom:9px;border-radius:50%;background:#183b31;color:#fff;font-weight:800\">5<\/span><h4 style=\"margin:0 0 8px;color:#203c33;font-size:16px;line-height:1.35\">5. Do you own the source and output use case?<\/h4><div style=\"color:#40564d;font-size:14px;line-height:1.58;overflow-wrap:anywhere\"><p style=\"margin:0 0 10px\">API access does not grant rights to third-party logos, copyrighted characters, private photos, or protected likenesses. Confirm your input rights and review OpenAI&#8217;s current terms and usage policies. For a wider practical discussion, see <a href=\"https:\/\/www.glbgpt.com\/hub\/can-i-use-ai-images-for-commercial-use\/\">whether AI images can be used commercially<\/a> ainsi que le guide sp\u00e9cifique consacr\u00e9 \u00e0 <a href=\"https:\/\/www.glbgpt.com\/hub\/can-i-use-chatgpt-images-for-commercial-use-a-complete-guide-to-safe-use-in-2026\/\">utilisation commerciale des images ChatGPT<\/a>.<\/p><\/div><\/article><\/div><\/section>\n\n\n\n<figure data-asset-id=\"I02\" style=\"box-sizing:border-box;margin:28px 0;border:1px solid #d6dfda;border-radius:8px;overflow:hidden;background:#fff\"><img loading=\"lazy\" src=\"https:\/\/static.futureshareai.com\/glb_features\/mcp\/4\/openai-image-variations-api-decision-flow_5f95dd1f43594ca9a917cf26d25a13a9.webp\" alt=\"Branching image workflow comparing variation, edit, mask, and conventional graphics routes\" width=\"1440\" height=\"1080\" decoding=\"async\" style=\"display:block;width:100%;height:auto\"><figcaption style=\"padding:12px 15px;color:#4a5b54;font-size:14px;line-height:1.55\">Editorial decision map for choosing an image endpoint; the accessible HTML flow carries the complete decision text.<\/figcaption><\/figure>\n\n\n\n<h2 id=\"input-preparation-small-details-decide-whether-the-request-works\" class=\"wp-block-heading\">Input Preparation: Small Details Decide Whether the Request Works<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Older Variations examples commonly require a PNG input, a square canvas, and a file under the documented size limit. Those requirements can change, so treat the live API reference as authoritative. Do not assume that a JPEG accepted by an edit endpoint is accepted by the variation endpoint.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Prepare the image deliberately:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Crop to a square without cutting off the subject.<\/li>\n\n\n\n<li>Convert to PNG while preserving an alpha channel only when it is meaningful.<\/li>\n\n\n\n<li>Use an RGB-compatible color mode.<\/li>\n\n\n\n<li>Compress the file below the current documented limit.<\/li>\n\n\n\n<li>Remove metadata that should not leave your system.<\/li>\n\n\n\n<li>Store the original checksum and dimensions in your job record.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Upscaling a tiny source does not restore missing detail. It only creates more pixels. If the source is blurry, consider restoration first; the guides on <a href=\"https:\/\/www.glbgpt.com\/hub\/can-chatgpt-enhance-images\/\">am\u00e9lioration des images avec ChatGPT<\/a> et <a href=\"https:\/\/www.glbgpt.com\/hub\/can-chatgpt-unblur-your-photos-a-complete-guide-in-2026\/\">unblurring photos<\/a> explain why reconstruction must not be mistaken for recovery of authentic evidence.<\/p>\n\n\n\n<h2 id=\"node-js-example-a-defensive-variations-request\" class=\"wp-block-heading\">Node.js Example: A Defensive Variations Request<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The exact SDK surface can change between versions. Confirm the method and accepted model in the current OpenAI JavaScript SDK documentation. The pattern below is intentionally defensive: the model comes from configuration, the response is validated, and no unsupported prompt is sent.<\/p>\n\n\n\n<section data-copy-card=\"openai-image-variations-api-copy-1\" style=\"box-sizing:border-box;position:relative;margin:24px 0;padding:20px;border-radius:8px;background:#14251f;color:#eaf4ef\"><strong style=\"display:block;margin:0 96px 10px 0;color:#7fd0b0;font-size:14px\">js<\/strong><textarea id=\"openai-image-variations-api-copy-1-text\" readonly style=\"box-sizing:border-box;width:100%;min-height:170px;padding:14px;border:1px solid #587467;border-radius:6px;background:#1b3028;color:#f4f8f6;font:14px\/1.65 ui-monospace,Consolas,monospace;resize:vertical\">import fs from &quot;node:fs&quot;;\nimport path from &quot;node:path&quot;;\nimport OpenAI from &quot;openai&quot;;\n\nconst client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });\n\nconst inputPath = path.resolve(&quot;.\/input\/source-square.png&quot;);\nconst model = process.env.OPENAI_VARIATION_MODEL;\n\nif (!model) {\n  throw new Error(&quot;Set OPENAI_VARIATION_MODEL from the current OpenAI docs.&quot;);\n}\n\nif (!fs.existsSync(inputPath)) {\n  throw new Error(`Input file not found: ${inputPath}`);\n}\n\nconst result = await client.images.createVariation({\n  model,\n  image: fs.createReadStream(inputPath),\n  n: 2,\n  size: &quot;1024&#215;1024&quot;,\n  response_format: &quot;b64_json&quot;\n});\n\nif (!Array.isArray(result.data) || result.data.length === 0) {\n  throw new Error(&quot;The API returned no image data.&quot;);\n}\n\nfs.mkdirSync(&quot;.\/output&quot;, { recursive: true });\n\nresult.data.forEach((item, index) =&gt; {\n  if (!item.b64_json) {\n    throw new Error(`Missing base64 data for result ${index + 1}`);\n  }\n\n  const bytes = Buffer.from(item.b64_json, &quot;base64&quot;);\n  fs.writeFileSync(`.\/output\/variation-${index + 1}.png`, bytes);\n});\n\nconsole.log(`Saved ${result.data.length} variation(s).`);<\/textarea><button type=\"button\" onclick=\"(async()=>{const t=document.getElementById(&#8216;openai-image-variations-api-copy-1-text&#8217;),s=document.getElementById(&#8216;openai-image-variations-api-copy-1-status&#8217;);try{await Promise.race([navigator.clipboard.writeText(t.value),new Promise((_,r)=>setTimeout(()=>r(new Error(&#8216;timeout&#8217;)),800))]);s.textContent=&#8217;Copied.&#8217;}catch(e){t.focus();t.select();s.textContent=&#8217;Selected. Press Ctrl\/Cmd+C.&#8217;}})()&#8221; style=&#8221;position:absolute;right:20px;top:16px;border:1px solid #709486;border-radius:6px;padding:8px 12px;background:#2e604e;color:#fff;cursor:pointer;font-weight:700&#8243;>Copy<\/button><span id=\"openai-image-variations-api-copy-1-status\" aria-live=\"polite\" style=\"display:block;min-height:20px;margin-top:8px;color:#bfd3ca;font-size:13px\"><\/span><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Why use base64 in this example? It avoids relying on a temporary download URL. URL-based responses can be convenient, but your worker must download them before expiration and validate the returned content type. Base64 increases response size, so it is not automatically the best choice at scale.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Never put an API key in browser JavaScript or a public repository. Call OpenAI from a trusted server, secret-managed function, or worker. Validate file type by inspecting the bytes, not only the filename, and apply request limits before accepting public uploads.<\/p>\n\n\n\n<h2 id=\"python-example\" class=\"wp-block-heading\">Python Example<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Again, use the current SDK docs as the source of truth for method names and models.<\/p>\n\n\n\n<section data-copy-card=\"openai-image-variations-api-copy-2\" style=\"box-sizing:border-box;position:relative;margin:24px 0;padding:20px;border-radius:8px;background:#14251f;color:#eaf4ef\"><strong style=\"display:block;margin:0 96px 10px 0;color:#7fd0b0;font-size:14px\">python<\/strong><textarea id=\"openai-image-variations-api-copy-2-text\" readonly style=\"box-sizing:border-box;width:100%;min-height:170px;padding:14px;border:1px solid #587467;border-radius:6px;background:#1b3028;color:#f4f8f6;font:14px\/1.65 ui-monospace,Consolas,monospace;resize:vertical\">import base64\nimport os\nfrom pathlib import Path\n\nfrom openai import OpenAI\n\nclient = OpenAI(api_key=os.environ[&quot;OPENAI_API_KEY&quot;])\nmodel = os.environ.get(&quot;OPENAI_VARIATION_MODEL&quot;)\n\nif not model:\n    raise RuntimeError(&quot;Set OPENAI_VARIATION_MODEL from the current docs.&quot;)\n\nsource = Path(&quot;input\/source-square.png&quot;)\noutput_dir = Path(&quot;output&quot;)\noutput_dir.mkdir(parents=True, exist_ok=True)\n\nwith source.open(&quot;rb&quot;) as image_file:\n    response = client.images.create_variation(\n        model=model,\n        image=image_file,\n        n=2,\n        size=&quot;1024&#215;1024&quot;,\n        response_format=&quot;b64_json&quot;,\n    )\n\nfor index, image in enumerate(response.data, start=1):\n    if not image.b64_json:\n        raise RuntimeError(f&quot;Missing image data for result {index}&quot;)\n    (output_dir \/ f&quot;variation-{index}.png&quot;).write_bytes(\n        base64.b64decode(image.b64_json)\n    )<\/textarea><button type=\"button\" onclick=\"(async()=>{const t=document.getElementById(&#8216;openai-image-variations-api-copy-2-text&#8217;),s=document.getElementById(&#8216;openai-image-variations-api-copy-2-status&#8217;);try{await Promise.race([navigator.clipboard.writeText(t.value),new Promise((_,r)=>setTimeout(()=>r(new Error(&#8216;timeout&#8217;)),800))]);s.textContent=&#8217;Copied.&#8217;}catch(e){t.focus();t.select();s.textContent=&#8217;Selected. Press Ctrl\/Cmd+C.&#8217;}})()&#8221; style=&#8221;position:absolute;right:20px;top:16px;border:1px solid #709486;border-radius:6px;padding:8px 12px;background:#2e604e;color:#fff;cursor:pointer;font-weight:700&#8243;>Copy<\/button><span id=\"openai-image-variations-api-copy-2-status\" aria-live=\"polite\" style=\"display:block;min-height:20px;margin-top:8px;color:#bfd3ca;font-size:13px\"><\/span><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">In production, wrap the request with retry logic only for retryable failures. A bad input format or unsupported model will not improve after five retries. Record the request ID, SDK version, selected model, file checksum, status, latency, and error category without logging secrets or private image bytes.<\/p>\n\n\n\n<h2 id=\"when-the-image-edit-api-is-the-better-answer\" class=\"wp-block-heading\">When the Image Edit API Is the Better Answer<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Suppose a marketing team has an approved product photograph. It needs four placements: a blue studio background, a holiday table, a clean marketplace thumbnail, and a vertical story. A source-only variation may redesign the product. An edit prompt can express the invariants.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Use a prompt like this in an edit-capable image model:<\/p>\n\n\n\n<section data-copy-card=\"openai-image-variations-api-copy-3\" style=\"box-sizing:border-box;position:relative;margin:24px 0;padding:20px;border-radius:8px;background:#14251f;color:#eaf4ef\"><strong style=\"display:block;margin:0 96px 10px 0;color:#7fd0b0;font-size:14px\">texte<\/strong><textarea id=\"openai-image-variations-api-copy-3-text\" readonly style=\"box-sizing:border-box;width:100%;min-height:170px;padding:14px;border:1px solid #587467;border-radius:6px;background:#1b3028;color:#f4f8f6;font:14px\/1.65 ui-monospace,Consolas,monospace;resize:vertical\">Edit the supplied product photo for an ecommerce campaign.\n\nPreserve exactly:\n&#8211; the product&#8217;s silhouette, proportions, label layout, and visible logo\n&#8211; the camera angle and product position\n&#8211; the original material and surface texture\n\nChange only:\n&#8211; replace the background with a soft pale-blue studio sweep\n&#8211; add a subtle contact shadow directly below the product\n&#8211; use clean diffused daylight from camera left\n\nDo not add text, badges, extra objects, reflections, hands, or packaging.\nReturn one polished square image with comfortable edge clearance.<\/textarea><button type=\"button\" onclick=\"(async()=>{const t=document.getElementById(&#8216;openai-image-variations-api-copy-3-text&#8217;),s=document.getElementById(&#8216;openai-image-variations-api-copy-3-status&#8217;);try{await Promise.race([navigator.clipboard.writeText(t.value),new Promise((_,r)=>setTimeout(()=>r(new Error(&#8216;timeout&#8217;)),800))]);s.textContent=&#8217;Copied.&#8217;}catch(e){t.focus();t.select();s.textContent=&#8217;Selected. Press Ctrl\/Cmd+C.&#8217;}})()&#8221; style=&#8221;position:absolute;right:20px;top:16px;border:1px solid #709486;border-radius:6px;padding:8px 12px;background:#2e604e;color:#fff;cursor:pointer;font-weight:700&#8243;>Copy<\/button><span id=\"openai-image-variations-api-copy-3-status\" aria-live=\"polite\" style=\"display:block;min-height:20px;margin-top:8px;color:#bfd3ca;font-size:13px\"><\/span><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">The word &#8220;exactly&#8221; is not a guarantee. It is a constraint that must be verified. Compare the output with the source at full resolution. For advanced text-prompt editing examples, see <a href=\"https:\/\/www.glbgpt.com\/hub\/how-to-edit-images-with-text-prompts-in-nano-banana.html\">Comment retoucher des images \u00e0 l'aide de consignes textuelles<\/a>, <a href=\"https:\/\/www.glbgpt.com\/hub\/can-chatgpt-edit-images\/\">si ChatGPT permet de retoucher des images<\/a>, et <a href=\"https:\/\/www.glbgpt.com\/hub\/can-chatgpt-modify-images\/\">si ChatGPT permet de modifier des images<\/a>.<\/p>\n\n\n\n<h2 id=\"a-low-cost-test-that-produces-useful-evidence\" class=\"wp-block-heading\">A Low-Cost Test That Produces Useful Evidence<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Do not test with a glamorous prompt and report that the output &#8220;looked good.&#8221; Build a small evaluation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Choose one source image containing:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>one central object with recognizable geometry;<\/li>\n\n\n\n<li>two dominant colors;<\/li>\n\n\n\n<li>a simple background;<\/li>\n\n\n\n<li>no private person, protected character, or unreadable legal text;<\/li>\n\n\n\n<li>one small but observable detail, such as a button or stripe.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Run two jobs:<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li>Generate two source-only variations.<\/li><li>Generate two prompt-led edits using the same source and a precise change request.<\/li><\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Then score all four outputs from 0 to 2 on subject identity, geometry, color fidelity, composition, artifact level, and instruction compliance. The variation outputs have no instruction-compliance obligation beyond the source relationship, while edits do. This makes the comparison fair and exposes the endpoint difference.<\/p>\n\n\n\n<div style=\"overflow-x:auto;margin:20px 0\"><table style=\"border-collapse:collapse;width:100%;min-width:640px\"><thead><tr><th style=\"padding:9px;border-bottom:1px solid #cfd9d3;text-align:left;background:#e6eee8\">Crit\u00e8re<\/th><th style=\"padding:9px;border-bottom:1px solid #cfd9d3;text-align:left;background:#e6eee8\">0<\/th><th style=\"padding:9px;border-bottom:1px solid #cfd9d3;text-align:left;background:#e6eee8\">1<\/th><th style=\"padding:9px;border-bottom:1px solid #cfd9d3;text-align:left;background:#e6eee8\">2<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Subject identity<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Different subject<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Similar<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Clearly retained<\/td><\/tr><tr><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">G\u00e9om\u00e9trie<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Major drift<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Minor drift<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Stable<\/td><\/tr><tr><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Couleur<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Wrong<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Partly retained<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Accurate<\/td><\/tr><tr><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Artefacts<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Distraire<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Small defects<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Clean<\/td><\/tr><tr><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Requested change<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Missing<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Partiel<\/td><td style=\"padding:9px;border-bottom:1px solid #e2e6e2;vertical-align:top\">Terminer<\/td><\/tr><\/tbody><\/table><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Save the complete job record, including failures. A real test may show that a creative variation is visually stronger while the edit is operationally safer. That is a useful conclusion. It is more credible than claiming one endpoint is universally better.<\/p>\n\n\n\n<h2 id=\"error-handling-you-need-in-production\" class=\"wp-block-heading\">Error Handling You Need in Production<\/h2>\n\n\n\n<section data-visual=\"card-grid\" aria-label=\"Production errors need explicit handling\" style=\"box-sizing:border-box;margin:24px 0\"><h3 style=\"margin:0 0 15px;color:#283f36;font:700 21px\/1.3 Georgia,serif\">Production errors need explicit handling<\/h3><div style=\"display:grid;grid-template-columns:repeat(auto-fit,minmax(235px,1fr));gap:14px\"><article style=\"box-sizing:border-box;min-width:0;padding:18px;border:1px solid #c7d8d0;border-radius:8px;background:#f2f7f4\"><h4 style=\"margin:0 0 9px;color:#245a49;font-size:16px;line-height:1.35\">Invalid image or unsupported format<\/h4><div style=\"color:#405148;font-size:14px;line-height:1.62;overflow-wrap:anywhere\"><p style=\"margin:0 0 10px\">Reject oversized files early, decode them in a controlled library, normalize orientation, and re-encode them. Do not trust extension or client MIME alone.<\/p><\/div><\/article><article style=\"box-sizing:border-box;min-width:0;padding:18px;border:1px solid #dcc7cd;border-radius:8px;background:#fbf4f5\"><h4 style=\"margin:0 0 9px;color:#7d3f4d;font-size:16px;line-height:1.35\">Unsupported model or parameter<\/h4><div style=\"color:#405148;font-size:14px;line-height:1.62;overflow-wrap:anywhere\"><p style=\"margin:0 0 10px\">Return a configuration error to your operators rather than silently changing the model. A fallback can change quality, safety behavior, price, and legal review status.<\/p><\/div><\/article><article style=\"box-sizing:border-box;min-width:0;padding:18px;border:1px solid #c7d8d0;border-radius:8px;background:#f2f7f4\"><h4 style=\"margin:0 0 9px;color:#245a49;font-size:16px;line-height:1.35\">Rate limit or temporary server failure<\/h4><div style=\"color:#405148;font-size:14px;line-height:1.62;overflow-wrap:anywhere\"><p style=\"margin:0 0 10px\">Use bounded exponential backoff with jitter. Keep an idempotency record so a retry does not create duplicate paid jobs after a timeout.<\/p><\/div><\/article><article style=\"box-sizing:border-box;min-width:0;padding:18px;border:1px solid #dcc7cd;border-radius:8px;background:#fbf4f5\"><h4 style=\"margin:0 0 9px;color:#7d3f4d;font-size:16px;line-height:1.35\">Safety rejection<\/h4><div style=\"color:#405148;font-size:14px;line-height:1.62;overflow-wrap:anywhere\"><p style=\"margin:0 0 10px\">Do not automatically weaken or obfuscate the request to evade a refusal. Show a neutral message, preserve the error category, and let the user choose a compliant source.<\/p><\/div><\/article><article style=\"box-sizing:border-box;min-width:0;padding:18px;border:1px solid #c7d8d0;border-radius:8px;background:#f2f7f4\"><h4 style=\"margin:0 0 9px;color:#245a49;font-size:16px;line-height:1.35\">Partial batch result<\/h4><div style=\"color:#405148;font-size:14px;line-height:1.62;overflow-wrap:anywhere\"><p style=\"margin:0 0 10px\">Treat each output independently. Validate decodability, actual format, dimensions, and minimum byte size before marking a job successful.<\/p><\/div><\/article><\/div><\/section>\n\n\n\n<h2 id=\"cost-planning-without-publishing-stale-prices\" class=\"wp-block-heading\">Cost Planning Without Publishing Stale Prices<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Image API cost depends on the supported model, image size, quality, number of outputs, and sometimes input processing. A hard-coded price copied from an old blog post is a maintenance bug.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Use this planning formula:<\/p>\n\n\n\n<section data-copy-card=\"openai-image-variations-api-copy-4\" style=\"box-sizing:border-box;position:relative;margin:24px 0;padding:20px;border-radius:8px;background:#14251f;color:#eaf4ef\"><strong style=\"display:block;margin:0 96px 10px 0;color:#7fd0b0;font-size:14px\">texte<\/strong><textarea id=\"openai-image-variations-api-copy-4-text\" readonly style=\"box-sizing:border-box;width:100%;min-height:170px;padding:14px;border:1px solid #587467;border-radius:6px;background:#1b3028;color:#f4f8f6;font:14px\/1.65 ui-monospace,Consolas,monospace;resize:vertical\">estimated batch cost = requests x outputs per request x current unit cost\n                      + input-image processing cost, when applicable<\/textarea><button type=\"button\" onclick=\"(async()=>{const t=document.getElementById(&#8216;openai-image-variations-api-copy-4-text&#8217;),s=document.getElementById(&#8216;openai-image-variations-api-copy-4-status&#8217;);try{await Promise.race([navigator.clipboard.writeText(t.value),new Promise((_,r)=>setTimeout(()=>r(new Error(&#8216;timeout&#8217;)),800))]);s.textContent=&#8217;Copied.&#8217;}catch(e){t.focus();t.select();s.textContent=&#8217;Selected. Press Ctrl\/Cmd+C.&#8217;}})()&#8221; style=&#8221;position:absolute;right:20px;top:16px;border:1px solid #709486;border-radius:6px;padding:8px 12px;background:#2e604e;color:#fff;cursor:pointer;font-weight:700&#8243;>Copy<\/button><span id=\"openai-image-variations-api-copy-4-status\" aria-live=\"polite\" style=\"display:block;min-height:20px;margin-top:8px;color:#bfd3ca;font-size:13px\"><\/span><\/section>\n\n\n\n<p class=\"wp-block-paragraph\">Store pricing in a dated configuration record linked to OpenAI&#8217;s official pricing page. Add budget alerts, daily caps, maximum outputs per request, and per-user quotas. A timeout is not proof that the provider did not accept the job; reconcile provider request IDs before retrying. That single rule prevents many accidental duplicate charges.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For teams comparing models, the <a href=\"https:\/\/www.glbgpt.com\/hub\/best-ai-image-generators\/\">Guide des meilleurs g\u00e9n\u00e9rateurs d'images bas\u00e9s sur l'IA<\/a> provides broader workflow context, and <a href=\"https:\/\/www.glbgpt.com\/hub\/7-best-chatgpt-alternatives-for-images\/\">Alternatives au format ChatGPT pour les images<\/a> helps separate API suitability from visual taste.<\/p>\n\n\n\n<h2 id=\"when-globalgpt-is-the-simpler-workflow\" class=\"wp-block-heading\">When GlobalGPT Is the Simpler Workflow<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The direct OpenAI API makes sense when you need server-side automation, strict access control, your own storage lifecycle, and deep integration with an application. It also requires credential management, input validation, error handling, cost controls, and ongoing endpoint maintenance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">GlobalGPT is the simpler route when the goal is to compare creative outputs and finish an image task without building a dedicated integration. You can move between generation and edit-oriented models in one workspace, preserve the prompt as part of the creative record, and choose the tool that matches the job instead of forcing every request through a legacy variation endpoint.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.glbgpt.com\/home?inviter=hub_popup&amp;login=1\">Essayez GlobalGPT<\/a> when you want an interactive multi-model image workflow. Use the direct OpenAI API when the image step must live inside your own software and you are prepared to own the engineering around it.<\/p>\n\n\n\n<h2 id=\"practical-recommendation\" class=\"wp-block-heading\">Practical Recommendation<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Use the OpenAI Image Variations API only when you have confirmed current endpoint support and genuinely want unconstrained alternatives derived from a square source image. Do not use it as shorthand for all image-to-image work.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For precise creative changes, start with the image edit workflow. For a new composition, start with text-to-image generation. For brand assets, add human review and conventional compositing where exact pixels matter. The winning architecture is not the one with the newest model name; it is the one whose control surface matches the requirement.<\/p>\n\n\n\n<h2 id=\"faq\" class=\"wp-block-heading\">Questions fr\u00e9quemment pos\u00e9es<\/h2>\n\n\n\n<div data-faq-question=\"Does the OpenAI Image Variations API accept a text prompt?\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Does the OpenAI Image Variations API accept a text prompt?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The classic variations workflow is source-image driven and should not be treated as a prompt-led editing endpoint. If you need to describe exact changes, use a currently supported image editing or generation route documented by OpenAI.<\/p>\n\n\n\n<div data-faq-question=\"Is an image variation the same as an image edit?\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Is an image variation the same as an image edit?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">No. A variation creates a new interpretation of the source, while an edit uses instructions and sometimes a mask to control what changes. Edits are usually more suitable when particular elements must remain stable.<\/p>\n\n\n\n<div data-faq-question=\"Which OpenAI model supports image variations?\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Which OpenAI model supports image variations?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Model compatibility changes. Confirm the accepted model directly in OpenAI&#8217;s current Images API reference before deployment. Do not assume that every image-generation model supports every Images endpoint.<\/p>\n\n\n\n<div data-faq-question=\"Why does my variations request reject a JPEG?\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Why does my variations request reject a JPEG?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The endpoint may require a specific format, dimensions, shape, or file-size limit. Normalize the source to the live documentation&#8217;s requirements, commonly a square PNG in older examples, and validate the decoded file before uploading.<\/p>\n\n\n\n<div data-faq-question=\"Can the API preserve a logo or face exactly?\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Can the API preserve a logo or face exactly?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">You should not promise exact preservation from a generative variation. Test identity, geometry, spelling, and brand colors at full resolution. Use editing, masking, compositing, or a non-generative graphics workflow when fidelity is mandatory.<\/p>\n\n\n\n<div data-faq-question=\"How many variations should I request?\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">How many variations should I request?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Start with a small batch, often one or two outputs, and measure acceptance rate before scaling. More outputs increase cost and review work; they do not guarantee that any image will satisfy a strict brand requirement.<\/p>\n\n\n\n<script type=\"application\/ld+json\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"FAQPage\",\n    \"mainEntity\": [\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Does the OpenAI Image Variations API accept a text prompt?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"The classic variations workflow is source-image driven and should not be treated as a prompt-led editing endpoint. If you need to describe exact changes, use a currently supported image editing or generation route documented by OpenAI.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Is an image variation the same as an image edit?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"No. A variation creates a new interpretation of the source, while an edit uses instructions and sometimes a mask to control what changes. Edits are usually more suitable when particular elements must remain stable.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Which OpenAI model supports image variations?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Model compatibility changes. Confirm the accepted model directly in OpenAI's current Images API reference before deployment. Do not assume that every image-generation model supports every Images endpoint.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Why does my variations request reject a JPEG?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"The endpoint may require a specific format, dimensions, shape, or file-size limit. Normalize the source to the live documentation's requirements, commonly a square PNG in older examples, and validate the decoded file before uploading.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Can the API preserve a logo or face exactly?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"You should not promise exact preservation from a generative variation. Test identity, geometry, spelling, and brand colors at full resolution. Use editing, masking, compositing, or a non-generative graphics workflow when fidelity is mandatory.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"How many variations should I request?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Start with a small batch, often one or two outputs, and measure acceptance rate before scaling. More outputs increase cost and review work; they do not guarantee that any image will satisfy a strict brand requirement.\"\n            }\n        }\n    ]\n}<\/script>\n\n\n\n<aside aria-label=\"Note de source\" style=\"box-sizing:border-box;margin:28px 0;padding:16px 18px;border-left:4px solid #536c8b;background:#f2f5f8;color:#344659\"><strong>Limite de la source :<\/strong> La page de r\u00e9f\u00e9rence fournie a permis de cerner la structure et l'intention de recherche. Les affirmations dynamiques relatives aux produits restent attribu\u00e9es aux sources officielles mentionn\u00e9es dans l'article ; toute analyse GlobalGPT constitue une observation distincte issue du processus de r\u00e9daction.<\/aside>","protected":false},"excerpt":{"rendered":"<p>Quick answer The OpenAI Image Variations API is a narrow, legacy-style endpoint for producing visual alternatives from an input image. It is useful when you want the same broad subject or composition expressed as several new images, but it is not the right tool for precise, instruction-led edits. It does not give you a natural-language [&hellip;]<\/p>","protected":false},"author":16,"featured_media":20353,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"OpenAI Image Variations API: What It Does and Which Route to Use (2026)","_seopress_titles_desc":"Learn openai image variations api with current sources, practical tests, clear limits, and a safer path from first trial to production.","_seopress_robots_index":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-20344","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-chat"],"acf":[],"_links":{"self":[{"href":"https:\/\/wp.glbgpt.com\/fr\/wp-json\/wp\/v2\/posts\/20344","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.glbgpt.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.glbgpt.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/fr\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/fr\/wp-json\/wp\/v2\/comments?post=20344"}],"version-history":[{"count":3,"href":"https:\/\/wp.glbgpt.com\/fr\/wp-json\/wp\/v2\/posts\/20344\/revisions"}],"predecessor-version":[{"id":20347,"href":"https:\/\/wp.glbgpt.com\/fr\/wp-json\/wp\/v2\/posts\/20344\/revisions\/20347"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/fr\/wp-json\/wp\/v2\/media\/20353"}],"wp:attachment":[{"href":"https:\/\/wp.glbgpt.com\/fr\/wp-json\/wp\/v2\/media?parent=20344"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/fr\/wp-json\/wp\/v2\/categories?post=20344"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/fr\/wp-json\/wp\/v2\/tags?post=20344"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}