GPT Image 1.5 is an OpenAI model for creating images from text descriptions. The manufacturer highlights instruction following and processing of detailed prompts: scene content, composition, object appearance and the required style can be specified. The image method's result is a finished image.
In Ailoot, this card concerns generation with text input. OpenAI also describes the model's work with source images, editing and changes to individual regions. These capabilities require separate visual-input support and are not included in the text-based generation method specified here.
In a separately provided OpenAI editing operation, a mask serves as guidance: an exact match between the result and its contours is not guaranteed. This operation needs support for supplying a source image; the current Ailoot card still concerns generation with text input.
Square 1024x1024, landscape 1536x1024 and portrait 1024x1536 sizes are provided, along with automatic selection. Arbitrary sizes from other models should not be applied to this version.
Quality levels are low, medium, high and auto. Quality selection affects processing volume and result detail. Quality and size are different settings: frame orientation determines the compositional space, while quality determines how it is generated. xhigh and max are not declared for GPT Image 1.5.
The result is PNG by default; JPEG and WebP are also provided. Compression can be set for JPEG and WebP. This output-file setting differs from generation quality.
The manufacturer provides transparent and opaque backgrounds, and automatic selection. Transparency requires PNG or WebP: JPEG does not retain an alpha channel. A transparent background is useful when the image needs to be used as a separate object in a later composition. Support for particular parameters needs to be considered alongside the selected method.
The model can include text in an image and assemble a scene from several elements, but precise placement of text and objects is not guaranteed. Consistency of a character's appearance or design across separate generations also needs checking.
A complex image may take longer to generate than a simple one; according to OpenAI, some complex tasks may take up to two minutes. Both a complete source description and examination of the finished image matter: text readability, detail placement and conformity to the specified scene are assessed from the file itself.
", "aboutText": "### An image from a detailed prompt\n\nGPT Image 1.5 is an OpenAI model for creating images from text descriptions. The manufacturer highlights instruction following and processing of detailed prompts: scene content, composition, object appearance and the required style can be specified. The image method's result is a finished image.\n\nIn Ailoot, this card concerns generation with text input. OpenAI also describes the model's work with source images, editing and changes to individual regions. These capabilities require separate visual-input support and are not included in the text-based generation method specified here.\n\nIn a separately provided OpenAI editing operation, a mask serves as guidance: an exact match between the result and its contours is not guaranteed. This operation needs support for supplying a source image; the current Ailoot card still concerns generation with text input.\n\n### Three frame shapes and quality settings\n\nSquare `1024x1024`, landscape `1536x1024` and portrait `1024x1536` sizes are provided, along with automatic selection. Arbitrary sizes from other models should not be applied to this version.\n\nQuality levels are `low`, `medium`, `high` and `auto`. Quality selection affects processing volume and result detail. Quality and size are different settings: frame orientation determines the compositional space, while quality determines how it is generated. `xhigh` and `max` are not declared for GPT Image 1.5.\n\n### File format and background\n\nThe result is PNG by default; JPEG and WebP are also provided. Compression can be set for JPEG and WebP. This output-file setting differs from generation quality.\n\nThe manufacturer provides transparent and opaque backgrounds, and automatic selection. Transparency requires PNG or WebP: JPEG does not retain an alpha channel. A transparent background is useful when the image needs to be used as a separate object in a later composition. Support for particular parameters needs to be considered alongside the selected method.\n\n### Text and composition need checking\n\nThe model can include text in an image and assemble a scene from several elements, but precise placement of text and objects is not guaranteed. Consistency of a character's appearance or design across separate generations also needs checking.\n\nA complex image may take longer to generate than a simple one; according to OpenAI, some complex tasks may take up to two minutes. Both a complete source description and examination of the finished image matter: text readability, detail placement and conformity to the specified scene are assessed from the file itself.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "53062b671fd65094d2523fe59ba7c760710f3af5396186bc68d87d04ecce50fc", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "en", "methods": [ { "html": "gpt-image-1.5GPT Image 1.5 creates images from text prompts with an emphasis on following detailed instructions. Provides three frame shapes, several quality levels and output formats.
This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.
GPT Image 1.5 is an OpenAI model for creating images from text descriptions. The manufacturer highlights instruction following and processing of detailed prompts: scene content, composition, object appearance and the required style can be specified. The image method's result is a finished image.
In Ailoot, this card concerns generation with text input. OpenAI also describes the model's work with source images, editing and changes to individual regions. These capabilities require separate visual-input support and are not included in the text-based generation method specified here.
In a separately provided OpenAI editing operation, a mask serves as guidance: an exact match between the result and its contours is not guaranteed. This operation needs support for supplying a source image; the current Ailoot card still concerns generation with text input.
Square 1024x1024, landscape 1536x1024 and portrait 1024x1536 sizes are provided, along with automatic selection. Arbitrary sizes from other models should not be applied to this version.
Quality levels are low, medium, high and auto. Quality selection affects processing volume and result detail. Quality and size are different settings: frame orientation determines the compositional space, while quality determines how it is generated. xhigh and max are not declared for GPT Image 1.5.
The result is PNG by default; JPEG and WebP are also provided. Compression can be set for JPEG and WebP. This output-file setting differs from generation quality.
The manufacturer provides transparent and opaque backgrounds, and automatic selection. Transparency requires PNG or WebP: JPEG does not retain an alpha channel. A transparent background is useful when the image needs to be used as a separate object in a later composition. Support for particular parameters needs to be considered alongside the selected method.
The model can include text in an image and assemble a scene from several elements, but precise placement of text and objects is not guaranteed. Consistency of a character's appearance or design across separate generations also needs checking.
A complex image may take longer to generate than a simple one; according to OpenAI, some complex tasks may take up to two minutes. Both a complete source description and examination of the finished image matter: text readability, detail placement and conformity to the specified scene are assessed from the file itself.
POST /v1/images/generationstextimage| Field | Type | Requirement | Values & limits | Default |
|---|---|---|---|---|
Fieldmodel | Typestring | RequirementRequired | Values & limits gpt-image-1.5 | Default— |
Fieldprompt | Typestring | RequirementRequired | Values & limits Minimum length: 1 | Default— |
Fieldn | Typeinteger | RequirementOptional | Values & limits Minimum: 1 | Default1 |
Fieldresponse_format | Typestring | RequirementOptional | Values & limits url, b64_json | Default— |
Fieldstream | Typeboolean | RequirementOptional | Values & limits | Defaultfalse |
Fieldsize | Typestring | RequirementOptional | Values & limits Model-specific | Default— |
Fieldquality | Typestring | RequirementOptional | Values & limits Model-specific | Default— |
Fieldbackground | Typestring | RequirementOptional | Values & limits Model-specific | Default— |
Fieldoutput_format | Typestring | RequirementOptional | Values & limits Model-specific | Default— |
Fieldoutput_compression | Typeinteger | RequirementOptional | Values & limits Model-specific | Default— |
Fieldmoderation | Typestring | RequirementOptional | Values & limits Model-specific | Default— |
Fieldinput_fidelity | Typestring | RequirementOptional | Values & limits Model-specific | Default— |
Fieldstyle | Typestring | RequirementOptional | Values & limits Model-specific | Default— |
Fieldpartial_images | Typeinteger | RequirementOptional | Values & limits Model-specific | Default— |
Text to image · Required: prompt
| Parameter | Contract |
|---|---|
Parametermaterial_types | Contracttext |
Parameterrequired | Contractmodel, prompt |
Parameteroptional_controls | Contractnull |
Parametercontent_type | Contractapplication/json |
Lifecycle: synchronous_result_then_owned_library
GET /v1/media/tasks/{task_id} · actual returned task_id or media library record
GET /v1/media/assets/{asset_id}/content
GET /v1/media/assets
GET /v1/media/assets/{asset_id}
Method shapes and IDs are exact; supplier capability is separate from admission.
POST /v1/images/generationsAiloot 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. How reservation and settlement work →
set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\nexport AILOOT_API_KEY\nexport AILOOT_API_KEY\n: "${AILOOT_PROMPT_FILE:?Set your actual UTF-8 image brief}"\nexport AILOOT_PROMPT_FILE\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{"model": "gpt-image-1.5", "prompt": ""}')\nf=Path(os.environ["AILOOT_PROMPT_FILE"])\nif not f.is_file():raise SystemExit("Choose your actual UTF-8 brief")\np['prompt']=f.read_text(encoding="utf-8")\nif not p['prompt'].strip():raise SystemExit("Brief must contain text")\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\nfrom openai import OpenAI\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")\n\nf=Path(os.environ["AILOOT_PROMPT_FILE"])\nif not f.is_file():raise SystemExit("Set your actual UTF-8 image brief file")\nrequest={'model': 'gpt-image-1.5', 'prompt': ''}\nrequest["prompt"]=f.read_text(encoding="utf-8")\nclient=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)\nresult=client.images.generate(**request)\nPath("sdk-result.txt").write_text(str(result),encoding="utf-8")\nsave_images([{"b64_json":getattr(item,"b64_json",None),"url":getattr(item,"url",None)} for item in result.data])\nimport OpenAI from "openai";\nimport { readFileSync, writeFileSync } from "node:fs";\nconst key=process.env.AILOOT_API_KEY;\nif(!key) throw new Error("Set your actual Ailoot API key");\nconst client=new OpenAI({baseURL:"https://api.ailoot.ai/v1",apiKey:key,maxRetries:0});\nconst request={"model": "gpt-image-1.5", "prompt": ""};\nif(!process.env.AILOOT_PROMPT_FILE)throw new Error("Set your actual UTF-8 image brief file");\nrequest.prompt=readFileSync(process.env.AILOOT_PROMPT_FILE,"utf8");\nconst result=await client.images.generate(request);\nwriteFileSync("sdk-result.json",JSON.stringify(result,null,2));\nif(!result.data?.length) throw new Error("No completed images");\nfor(let index=0;index<result.data.length;index++) {\n const item=result.data[index];let encoded=item.b64_json,uri=item.url||"",raw;\n if(!encoded && uri.startsWith("data:image/")) {\n const comma=uri.indexOf(",");if(comma<0 || !uri.slice(0,comma).includes(";base64")) throw new Error("Unsupported image data URI");\n encoded=uri.slice(comma+1);\n }\n if(encoded) {\n if(encoded.length%4!==0 || !/^[A-Za-z0-9+/]*={0,2}$/.test(encoded)) throw new Error("Invalid Base64");\n raw=Buffer.from(encoded,"base64");\n } else if(uri) {\n const u=new URL(uri,"https://api.ailoot.ai");\n if(u.protocol!=="https:" || u.username || u.password) throw new Error("Invalid returned URL");\n const owned=u.origin==="https://api.ailoot.ai" && u.pathname.startsWith("/v1/media/assets/") && u.pathname.endsWith("/content");\n const response=await fetch(u,{headers:owned?{Authorization:"Bearer "+key}:{},redirect:"manual"});\n if(!response.ok) throw new Error("Image content download failed: "+response.status);\n raw=Buffer.from(await response.arrayBuffer());\n } else throw new Error("Image has neither bytes nor URL");\n if(!raw.length) throw new Error("Empty image result");\n const ext=raw.subarray(0,4).equals(Buffer.from([137,80,78,71]))?"png":raw[0]===255&&raw[1]===216?"jpg":raw.toString("ascii",0,4)==="RIFF"&&raw.toString("ascii",8,12)==="WEBP"?"webp":raw.toString("utf8").trimStart().startsWith("<svg")||raw.toString("utf8").trimStart().startsWith("<?xml")?"svg":"bin";\n writeFileSync(`image-${index}.${ext}`,raw);\n}\nconsole.log("Every returned image saved; sdk-result.json retains complete metadata");\nDownload each returned image or save its Base64 contents
GET /v1/media/tasks/{task_id}GET /v1/media/assets/{asset_id}/contentGET /v1/media/assetsGET /v1/media/assets/{asset_id}Save every completed image; retrieve each returned URL or decode its Base64 contents.
Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.
If an image generation or edit result requires a check, keep the original operation_id/X-Client-Request-ID and returned result information. Recover existing owned results through the media library using actual task_id or asset_id values. Do not resubmit the generation/edit request or construct a polling URL from operation_id.
| Field | Type |
|---|---|
Fieldcreated | Typeinteger |
Fielddata[].url | Typestring |
Fielddata[].b64_json | Typebase64 string |
Fieldusage | Typeobject |
| Response | Condition | Next step |
|---|---|---|
Response400 · invalid_request_error | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |
Responseserver_error | ConditionThe returned response says the operation or result requires a check | Next stepKeep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request. |
Ailoot gpt-image-1.5
Ailoot Ultra gpt-image-1.5
Use the method paths shown above.
gpt-image-1.5GPT Image 1.5 creates images from text prompts with an emphasis on following detailed instructions. Provides three frame shapes, several quality levels and output formats.
This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.
GPT Image 1.5 is an OpenAI model for creating images from text descriptions. The manufacturer highlights instruction following and processing of detailed prompts: scene content, composition, object appearance and the required style can be specified. The image method's result is a finished image.
In Ailoot, this card concerns generation with text input. OpenAI also describes the model's work with source images, editing and changes to individual regions. These capabilities require separate visual-input support and are not included in the text-based generation method specified here.
In a separately provided OpenAI editing operation, a mask serves as guidance: an exact match between the result and its contours is not guaranteed. This operation needs support for supplying a source image; the current Ailoot card still concerns generation with text input.
Square 1024x1024, landscape 1536x1024 and portrait 1024x1536 sizes are provided, along with automatic selection. Arbitrary sizes from other models should not be applied to this version.
Quality levels are low, medium, high and auto. Quality selection affects processing volume and result detail. Quality and size are different settings: frame orientation determines the compositional space, while quality determines how it is generated. xhigh and max are not declared for GPT Image 1.5.
The result is PNG by default; JPEG and WebP are also provided. Compression can be set for JPEG and WebP. This output-file setting differs from generation quality.
The manufacturer provides transparent and opaque backgrounds, and automatic selection. Transparency requires PNG or WebP: JPEG does not retain an alpha channel. A transparent background is useful when the image needs to be used as a separate object in a later composition. Support for particular parameters needs to be considered alongside the selected method.
The model can include text in an image and assemble a scene from several elements, but precise placement of text and objects is not guaranteed. Consistency of a character's appearance or design across separate generations also needs checking.
A complex image may take longer to generate than a simple one; according to OpenAI, some complex tasks may take up to two minutes. Both a complete source description and examination of the finished image matter: text readability, detail placement and conformity to the specified scene are assessed from the file itself.
POST /v1/images/generationstextimage| Field | Type | Requirement | Values & limits | Default |
|---|---|---|---|---|
Fieldmodel | Typestring | RequirementRequired | Values & limits gpt-image-1.5 | Default— |
Fieldprompt | Typestring | RequirementRequired | Values & limits Maximum length: 32,000 | Default— |
Fieldsize | Typestring | RequirementOptional | Values & limits 1024x1024, 1536x1024, 1024x1536, auto | Defaultauto |
Fieldbackground | Typestring | RequirementOptional | Values & limits transparent, opaque, auto | Defaultauto |
Fieldmoderation | Typestring | RequirementOptional | Values & limits low, auto Conditions: Use auto for standard content moderation. | Default— |
Fieldn | Typeinteger | RequirementOptional | Values & limits Minimum: 1 Maximum: 10 | Default1 |
Fieldquality | Typestring | RequirementOptional | Values & limits auto, high, medium, low | Defaultauto |
Fieldoutput_compression | Typeinteger | RequirementOptional | Values & limits Minimum: 0 Maximum: 100 Conditions: Applies to JPEG and WebP output; send the documented integer value. | Default100 |
Fieldoutput_format | Typestring | RequirementOptional | Values & limits webp, png, jpeg | Defaultpng |
Fieldstream | Typeboolean | RequirementOptional | Values & limits false Conditions: This route returns one completed JSON response. | Defaultfalse |
| Parameter | Contract |
|---|---|
Parametercontent_type | Contractapplication/json |
Parameterrequired | Contractprompt, model |
Parametermaterial_types | Contracttext |
Parameteroptional | Contractsize, background, moderation, n, quality, output_compression, output_format, stream |
Parameterconditions | ContractA transparent background requires PNG or WebP., Output compression applies to JPEG or WebP., The selected method generates from text. Editing and streaming controls described for the manufacturer are separate capabilities. |
Lifecycle: synchronous_result_then_owned_library
GET /v1/media/tasks/{task_id} · actual returned task_id or media library record
GET /v1/media/assets/{asset_id}/content
GET /v1/media/assets
GET /v1/media/assets/{asset_id}
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.
Tariff references do not add request options. Supported parameters are listed for the selected method.
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Forecast quantity | Charge |
|---|---|---|---|
| ConfigurationBase token rates | Rate scheduleBase rate | Forecast quantity— | Charge Input · Input tokens · Estimate for comparison only — / 1K tokens Output · Output tokens · Estimate for comparison only — / 1K tokens Input · Cache read · Estimate for comparison only — / 1K tokens Input · Cache write · Estimate for comparison only — / 1K tokens Input · Cache write, 1 hour · Estimate for comparison only — / 1K tokens |
| ConfigurationEstimated generation cost | Rate schedule— | Forecast quantityone generation estimate | Charge Output · Estimated generation cost · Estimate for comparison only $0.32768 estimate before generation This estimate is not an additional charge or a fixed rate for the completed generation. |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →
set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np={'prompt': 'A cute baby sea otter', 'model': 'gpt-image-1.5', 'size': '1024x1024', 'n': 1, 'background': 'auto', 'moderation': 'auto', 'output_format': 'png'}\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\nDownload each returned image or save its Base64 contents
GET /v1/media/tasks/{task_id}GET /v1/media/assets/{asset_id}/contentGET /v1/media/assetsGET /v1/media/assets/{asset_id}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.\nSave every completed image; retrieve each returned URL or decode its Base64 contents.
Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.
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.
| Field | Type |
|---|---|
Fieldcreated | Type |
Fielddata[].url | Type |
Fielddata[].b64_json | Type |
Fieldusage | Type |
Ailoot gpt-image-1.5
Ailoot Ultra gpt-image-1.5
Use the method paths shown above.