{ "aboutHtml": "

A faster image-creation edition

Seedream 5.0 Flash is ByteDance Seed’s image-generation and editing model for workflows that prioritize generation speed. The maker’s Pro/Flash guide describes both text-to-image and single- or multi-reference image-to-image creation. It distinguishes Flash’s faster generation from Pro’s higher image-quality priority, without establishing a fixed response time for every brief.

The defining shared features are interactive editing, layer decomposition and native multilingual generation. Ordinary generation returns one finished image. The manufacturer’s Flash workflow does not support sequential related-image generation, web search or streaming image output. Its prompt optimization uses standard mode; the separate fast optimization control belongs to Pro rather than Flash.

Creating from a brief and references

State the intended picture, the main subject, composition and visual treatment, then identify what each reference controls. For a product visual, separate the reference that establishes the object from one that supplies a palette or surface material. “Keep the object’s silhouette and viewing angle from the first image; use the second image only for the muted background palette” gives the references distinct roles.

The maker recommends concise prompts, no more than 300 Chinese characters or 600 English words. That is preparation guidance rather than a stated hard text-input cutoff. List the decisive requirements first, including exact wording that must appear, the desired aspect ratio and details that must stay unchanged. Inspect the finished image against that list rather than rely only on its overall appearance.

Spatially guided editing

Flash can use points, bounding boxes, arrows and free-form marks to identify where an edit should happen. Supply the source image together with a location and the change. For an interior concept, mark the chair, request a fabric replacement and identify the floor, wall, camera angle and nearby objects to preserve. If the marks are guidance only, explicitly ask for their removal from the finished image.

The maker’s coordinate-editing guide uses <point> and <bbox> tags with coordinates normalized to 0–999 relative to the specified input image. A point contains x and y; a box contains the upper-left and lower-right coordinates. Identify the image number and target object, especially when a box includes several subjects. For a cross-image edit, distinguish the object to take from one reference and the destination region in another.

Use the displayed image’s own dimensions when obtaining the proportional location; canvas zoom, panning or browser coordinates are not the normalized image coordinates. Describe protected regions as well as the edited region. Compare the result’s perspective, illumination and surrounding detail with the original source.

Separate a composition into editable layers

Layer decomposition is a distinct mode that takes exactly one image and returns a base image plus up to 16 independent layers. Each layer is a PNG with alpha. A prompt can name the elements to separate, such as title, main subject and decorations; without a decomposition prompt, the model identifies the main elements automatically.

The results include layer names, descriptions, stacking order and placement boxes. Use the base image with stacking index zero, then place the other layers in ascending stacking order. Absolute boxes describe placement in the output base image; normalized boxes describe proportional placement on a different canvas. Keep this returned placement metadata with the image files so the original composition can be reconstructed before it is rearranged.

For a poster revision, separate the main artwork from the title and decorations, then inspect edges and any restored background area. A transparent layer can be edited as a single alpha-channel input with transparent PNG output. The transparent-background option is scoped to that single-input image-editing workflow; ordinary text-to-image generation is a separate operation.

Multilingual composition

In addition to Chinese and English, the maker documents native prompt and image-text support for Russian, Arabic, Filipino, Thai, Turkish, Korean, Malay, Spanish, Portuguese, Indonesian, French, German, Vietnamese and Japanese. Supply the exact approved wording and reading direction, and identify which region contains each text block. Review accents, joined characters, line breaks and small labels in the final image.

Reference files and output specifications

Image generation accepts up to 10 references in JPEG, PNG, WebP, BMP, TIFF, GIF, HEIC or HEIF. Each can be up to 30 MB, with both sides above 14 pixels, 196–36,000,000 total pixels and an aspect ratio from 1:16 to 16:1. Layer decomposition instead requires one JPEG or PNG of 262,144–36,000,000 pixels, up to 30 MB, within the same ratio range.

Generation offers 1K, 1.5K and 2K output tiers, defaulting to 2K, or explicit dimensions with 921,600–4,624,220 total pixels and ratios from 1:16 to 16:1. Both constraints apply to custom dimensions. Layer output uses 1K, 1.5K, 2K or auto, with auto as the default; the base and each layer retain their respective source aspect ratios.

Finished images are JPEG or PNG. The base image’s format can be selected separately, while decomposed layers remain PNG with alpha. Delivery can use encoded image data or download links retained for 24 hours. Save every returned image and its metadata for the intended design workflow. Inspect text, edited details and layer alignment at the size where the artwork will be used.

", "aboutText": "A faster image-creation edition\n\nSeedream 5.0 Flash is ByteDance Seed’s image-generation and editing model for workflows that prioritize generation speed. The maker’s Pro/Flash guide describes both text-to-image and single- or multi-reference image-to-image creation. It distinguishes Flash’s faster generation from Pro’s higher image-quality priority, without establishing a fixed response time for every brief.\n\nThe defining shared features are interactive editing, layer decomposition and native multilingual generation. Ordinary generation returns one finished image. The manufacturer’s Flash workflow does not support sequential related-image generation, web search or streaming image output. Its prompt optimization uses standard mode; the separate fast optimization control belongs to Pro rather than Flash.\n\nCreating from a brief and references\n\nState the intended picture, the main subject, composition and visual treatment, then identify what each reference controls. For a product visual, separate the reference that establishes the object from one that supplies a palette or surface material. “Keep the object’s silhouette and viewing angle from the first image; use the second image only for the muted background palette” gives the references distinct roles.\n\nThe maker recommends concise prompts, no more than 300 Chinese characters or 600 English words. That is preparation guidance rather than a stated hard text-input cutoff. List the decisive requirements first, including exact wording that must appear, the desired aspect ratio and details that must stay unchanged. Inspect the finished image against that list rather than rely only on its overall appearance.\n\nSpatially guided editing\n\nFlash can use points, bounding boxes, arrows and free-form marks to identify where an edit should happen. Supply the source image together with a location and the change. For an interior concept, mark the chair, request a fabric replacement and identify the floor, wall, camera angle and nearby objects to preserve. If the marks are guidance only, explicitly ask for their removal from the finished image.\n\nThe maker’s coordinate-editing guide uses and tags with coordinates normalized to 0–999 relative to the specified input image. A point contains x and y; a box contains the upper-left and lower-right coordinates. Identify the image number and target object, especially when a box includes several subjects. For a cross-image edit, distinguish the object to take from one reference and the destination region in another.\n\nUse the displayed image’s own dimensions when obtaining the proportional location; canvas zoom, panning or browser coordinates are not the normalized image coordinates. Describe protected regions as well as the edited region. Compare the result’s perspective, illumination and surrounding detail with the original source.\n\nSeparate a composition into editable layers\n\nLayer decomposition is a distinct mode that takes exactly one image and returns a base image plus up to 16 independent layers. Each layer is a PNG with alpha. A prompt can name the elements to separate, such as title, main subject and decorations; without a decomposition prompt, the model identifies the main elements automatically.\n\nThe results include layer names, descriptions, stacking order and placement boxes. Use the base image with stacking index zero, then place the other layers in ascending stacking order. Absolute boxes describe placement in the output base image; normalized boxes describe proportional placement on a different canvas. Keep this returned placement metadata with the image files so the original composition can be reconstructed before it is rearranged.\n\nFor a poster revision, separate the main artwork from the title and decorations, then inspect edges and any restored background area. A transparent layer can be edited as a single alpha-channel input with transparent PNG output. The transparent-background option is scoped to that single-input image-editing workflow; ordinary text-to-image generation is a separate operation.\n\nMultilingual composition\n\nIn addition to Chinese and English, the maker documents native prompt and image-text support for Russian, Arabic, Filipino, Thai, Turkish, Korean, Malay, Spanish, Portuguese, Indonesian, French, German, Vietnamese and Japanese. Supply the exact approved wording and reading direction, and identify which region contains each text block. Review accents, joined characters, line breaks and small labels in the final image.\n\nReference files and output specifications\n\nImage generation accepts up to 10 references in JPEG, PNG, WebP, BMP, TIFF, GIF, HEIC or HEIF. Each can be up to 30 MB, with both sides above 14 pixels, 196–36,000,000 total pixels and an aspect ratio from 1:16 to 16:1. Layer decomposition instead requires one JPEG or PNG of 262,144–36,000,000 pixels, up to 30 MB, within the same ratio range.\n\nGeneration offers 1K, 1.5K and 2K output tiers, defaulting to 2K, or explicit dimensions with 921,600–4,624,220 total pixels and ratios from 1:16 to 16:1. Both constraints apply to custom dimensions. Layer output uses 1K, 1.5K, 2K or auto, with auto as the default; the base and each layer retain their respective source aspect ratios.\n\nFinished images are JPEG or PNG. The base image’s format can be selected separately, while decomposed layers remain PNG with alpha. Delivery can use encoded image data or download links retained for 24 hours. Save every returned image and its metadata for the intended design workflow. Inspect text, edited details and layer alignment at the size where the artwork will be used.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "ff5bdd222df7322dde4f3db0744258ec18d05e951e19927a9dae692418471b7e", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "en", "methods": [ { "html": "
•

ByteDance Seed: Seedream 5.0 Flash

ByteDance Seed /bytedance-seed/seedream-5-0-flash

Overview

Create one finished image from a text brief.

  • Create a product still
  • Explore a visual concept
  • Illustrate a scene
Accepted inputs
Text
Results
Images
About the model

This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.

A faster image-creation edition

Seedream 5.0 Flash is ByteDance Seed’s image-generation and editing model for workflows that prioritize generation speed. The maker’s Pro/Flash guide describes both text-to-image and single- or multi-reference image-to-image creation. It distinguishes Flash’s faster generation from Pro’s higher image-quality priority, without establishing a fixed response time for every brief.

The defining shared features are interactive editing, layer decomposition and native multilingual generation. Ordinary generation returns one finished image. The manufacturer’s Flash workflow does not support sequential related-image generation, web search or streaming image output. Its prompt optimization uses standard mode; the separate fast optimization control belongs to Pro rather than Flash.

Creating from a brief and references

State the intended picture, the main subject, composition and visual treatment, then identify what each reference controls. For a product visual, separate the reference that establishes the object from one that supplies a palette or surface material. “Keep the object’s silhouette and viewing angle from the first image; use the second image only for the muted background palette” gives the references distinct roles.

The maker recommends concise prompts, no more than 300 Chinese characters or 600 English words. That is preparation guidance rather than a stated hard text-input cutoff. List the decisive requirements first, including exact wording that must appear, the desired aspect ratio and details that must stay unchanged. Inspect the finished image against that list rather than rely only on its overall appearance.

Spatially guided editing

Flash can use points, bounding boxes, arrows and free-form marks to identify where an edit should happen. Supply the source image together with a location and the change. For an interior concept, mark the chair, request a fabric replacement and identify the floor, wall, camera angle and nearby objects to preserve. If the marks are guidance only, explicitly ask for their removal from the finished image.

The maker’s coordinate-editing guide uses <point> and <bbox> tags with coordinates normalized to 0–999 relative to the specified input image. A point contains x and y; a box contains the upper-left and lower-right coordinates. Identify the image number and target object, especially when a box includes several subjects. For a cross-image edit, distinguish the object to take from one reference and the destination region in another.

Use the displayed image’s own dimensions when obtaining the proportional location; canvas zoom, panning or browser coordinates are not the normalized image coordinates. Describe protected regions as well as the edited region. Compare the result’s perspective, illumination and surrounding detail with the original source.

Separate a composition into editable layers

Layer decomposition is a distinct mode that takes exactly one image and returns a base image plus up to 16 independent layers. Each layer is a PNG with alpha. A prompt can name the elements to separate, such as title, main subject and decorations; without a decomposition prompt, the model identifies the main elements automatically.

The results include layer names, descriptions, stacking order and placement boxes. Use the base image with stacking index zero, then place the other layers in ascending stacking order. Absolute boxes describe placement in the output base image; normalized boxes describe proportional placement on a different canvas. Keep this returned placement metadata with the image files so the original composition can be reconstructed before it is rearranged.

For a poster revision, separate the main artwork from the title and decorations, then inspect edges and any restored background area. A transparent layer can be edited as a single alpha-channel input with transparent PNG output. The transparent-background option is scoped to that single-input image-editing workflow; ordinary text-to-image generation is a separate operation.

Multilingual composition

In addition to Chinese and English, the maker documents native prompt and image-text support for Russian, Arabic, Filipino, Thai, Turkish, Korean, Malay, Spanish, Portuguese, Indonesian, French, German, Vietnamese and Japanese. Supply the exact approved wording and reading direction, and identify which region contains each text block. Review accents, joined characters, line breaks and small labels in the final image.

Reference files and output specifications

Image generation accepts up to 10 references in JPEG, PNG, WebP, BMP, TIFF, GIF, HEIC or HEIF. Each can be up to 30 MB, with both sides above 14 pixels, 196–36,000,000 total pixels and an aspect ratio from 1:16 to 16:1. Layer decomposition instead requires one JPEG or PNG of 262,144–36,000,000 pixels, up to 30 MB, within the same ratio range.

Generation offers 1K, 1.5K and 2K output tiers, defaulting to 2K, or explicit dimensions with 921,600–4,624,220 total pixels and ratios from 1:16 to 16:1. Both constraints apply to custom dimensions. Layer output uses 1K, 1.5K, 2K or auto, with auto as the default; the base and each layer retain their respective source aspect ratios.

Finished images are JPEG or PNG. The base image’s format can be selected separately, while decomposed layers remain PNG with alpha. Delivery can use encoded image data or download links retained for 24 hours. Save every returned image and its metadata for the intended design workflow. Inspect text, edited details and layer alignment at the size where the artwork will be used.

Available in Ailoot · inputs & methods

Ailoot Ultra · Images POST /v1/images/generations
Input types
text
Output types
image
Output format
Image file
Output count
1 output
FieldTypeRequirementValues & limitsDefault
FieldmodelTypestringRequirementRequiredValues & limits
bytedance-seed/seedream-5-0-flash
Default—
FieldpromptTypestringRequirementRequiredValues & limits
Minimum length: 1
Conditions: Nonempty UTF8 prompt. No manufacturer-wide character limit is invented.
Default—
FieldnTypeintegerRequirementOptionalValues & limits
1
Default1
Fieldresponse_formatTypestringRequirementOptionalValues & limits
url, b64_json
Default—
FieldstreamTypebooleanRequirementOptionalValues & limits
false
Defaultfalse
Input material combinations

Text to image · Required: prompt

Method parameters and lifecycle
ParameterContract
Parametercontent_typeContractapplication/json
ParameterrequiredContractmodel, prompt
Parametermaterial_typesContracttext
ParameteroptionalContractn, response_format, stream
ParameternContract1
ParameterstreamContractfalse
Parameterresponse_formatContracturl, b64_json
Parameterreference_imagesContractfalse
ParametereditContractfalse
Parameteroutput_format_optionalContract
Parameterresolution_controlContractnull
Parameteraspect_ratio_controlContractnull
Parameterother_fieldsContractrejected except exact pinned internal provider routing

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}

Generate one image from prompt.

Save every data item; url/b64_json are result encodings.

Pricing

How the final charge is calculated

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.

Fast mode
Not specified When fast mode is selected
Flex mode
Not specified When flex mode is selected
Maximum reasoning effort
Not specified When maximum reasoning effort uses the default adjustment

Estimated rates for comparison

Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

ConfigurationRate scheduleForecast quantityBilling unitCharge
ConfigurationBase token ratesRate scheduleBase rateForecast quantity—Billing unit—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
Configurationinput imageRate schedule—Forecast quantity—Billing unitper input imageCharge
Input · input image · Estimate for comparison only $0 per input image
ConfigurationUltraRate schedule—Forecast quantity—Billing unitper image outputCharge
Output · image output · Estimate for comparison only $0.036 per image output
ConfigurationEstimated generation costRate schedule—Forecast quantityone generation estimateBilling unit—Charge
Output · Estimated generation cost · Estimate for comparison only $0.036 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 →

Reference tariff details

Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.

Image pricing configurations

Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

ConfigurationBilling conditionsCharge
ConfigurationOutput imageBilling conditionsNo pricing variant is declared.Charge
Output · Output image $0.036 per image
ConfigurationInput imageBilling conditionsNo pricing variant is declared.Charge
Input · Input image $0 per image

Equivalent listings describe the same charge; they do not add a second fee.

Example requests

Ailoot Ultra · Images

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=json.loads('{"model": "bytedance-seed/seedream-5-0-flash", "prompt": "A lighthouse on a cliff, watercolor", "n": 1, "response_format": "b64_json"}')\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

Receive and save results

Ailoot Ultra · Images

Download each returned image or save its Base64 contents

  • GET /v1/media/tasks/{task_id}
  • GET /v1/media/assets/{asset_id}/content
  • GET /v1/media/assets
  • GET /v1/media/assets/{asset_id}
Keep all completed results

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 the original response needs checking

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.

Response fields
FieldType
FieldcreatedTypeinteger
Fielddata[].urlTypestring
Fielddata[].b64_jsonTypebase64 string
FieldusageTypeobject
Errors and next steps
ResponseConditionNext step
Response400 · invalid_request_errorConditionInvalid required fields, material representation or parameter valueNext stepCorrect the indicated fields before a new creation request.
Responseserver_errorConditionThe returned response says the operation or result requires a checkNext stepKeep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.

Aliases

Model aliases

Ailoot Ultra bytedance-seed/seedream-5-0-flash

Method path aliases

Use the method paths shown above.

Related caller IDs

bytedance-seed/seedream-5-0-flash

", "method_identity": { "effective_request_model_id": "bytedance-seed/seedream-5-0-flash", "fmt": "images", "http": "POST", "path": "/v1/images/generations", "request_model_id": "bytedance-seed/seedream-5-0-flash", "route_label": "Ultra" }, "method_key": "Ultra|images|/v1/images/generations|bytedance-seed%2Fseedream-5-0-flash", "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": "Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.", "errors": [ { "code": null, "condition": "Invalid required fields, material representation or parameter value", "http_status": 400, "recovery": "Correct the indicated fields before a new creation request.", "type": "invalid_request_error" }, { "code": null, "condition": "The returned response says the operation or result requires a check", "http_status": null, "recovery": "Keep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.", "type": "server_error" } ], "hints": [], "ignored_fields": [], "lifecycle": { "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.", "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": "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." }, "material_combinations": [ { "content_type": "application/json", "mode": "text_to_image", "reference_images": false, "required": [ "prompt" ] } ], "media_library": { "asset": { "fields": [ { "description": null, "name": "asset_id", "type": "string" }, { "description": null, "name": "task_id", "type": "string" }, { "description": null, "name": "output_key", "type": "string" }, { "description": null, "name": "family", "type": "string" }, { "description": null, "name": "model", "type": "string" }, { "description": null, "name": "method", "type": "string" }, { "description": null, "name": "status", "type": "string" }, { "description": null, "name": "content_type", "type": "string" }, { "description": null, "name": "sha256", "type": "string" }, { "description": null, "name": "size_bytes", "type": "integer" }, { "description": null, "name": "content_url", "type": "string" } ], "http": "GET", "id_source": "actual returned asset_id", "path": "/v1/media/assets/{asset_id}" }, "content": { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "range_header_supported": true, "url_source": "Use exact returned signed content_url including its token; do not construct a token." }, "expired_link": { "code": "link_expired", "http_status": 404, "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate." }, "list": { "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.", "http": "GET", "output_fields": [ { "description": null, "name": "object", "type": "string" }, { "description": null, "name": "data", "type": "asset[]" }, { "description": null, "name": "next_cursor", "type": "string|null" } ], "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "family", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "cursor", "required": false, "type": "string" }, { "availability": "source_interface", "default": 20, "default_known": true, "enum": null, "enum_known": false, "maximum": 100, "minimum": 1, "name": "limit", "required": false, "type": "integer" } ], "path": "/v1/media/assets" }, "revoke": { "http": "DELETE", "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.", "path": "/v1/media/assets/{asset_id}", "pending_status": "revoking", "success_statuses": [ 202, 204 ] }, "task": { "http": "GET", "id_source": "actual returned task_id or media library record; operation_id is not task_id", "path": "/v1/media/tasks/{task_id}" } }, "operation_modes": [ "text_to_image" ], "outputs": { "all_results": "Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.", "count": 1, "family": "image", "fields": [ { "description": null, "name": "created", "type": "integer" }, { "description": null, "name": "data[].url", "type": "string" }, { "description": null, "name": "data[].b64_json", "type": "base64 string" }, { "description": null, "name": "usage", "type": "object" } ], "format": "actual validated raster MIME" }, "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "bytedance-seed/seedream-5-0-flash" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "availability": "source_interface", "conditions": "Nonempty UTF8 prompt. No manufacturer-wide character limit is invented.", "default": null, "default_known": false, "enum": null, "enum_known": false, "min_length": 1, "name": "prompt", "required": true, "type": "string" }, { "availability": "source_interface", "default": 1, "default_known": true, "enum": [ 1 ], "enum_known": true, "name": "n", "required": false, "type": "integer" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "url", "b64_json" ], "enum_known": true, "name": "response_format", "required": false, "type": "string" }, { "availability": "source_interface", "default": false, "default_known": true, "enum": [ false ], "enum_known": true, "name": "stream", "required": false, "type": "boolean" } ], "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.", "unsupported": [ "image edits/references", "resolution/size", "aspect_ratio", "stream=true", "n other than1", "other fields outside this exact facade profile", "output_format field must be omitted" ] }, "hints": [ "Generate one image from prompt.", "Save every data item; url/b64_json are result encodings." ], "input": { "aspect_ratio_control": null, "content_type": "application/json", "edit": false, "material_types": [ "text" ], "n": [ 1 ], "optional": [ "n", "response_format", "stream" ], "other_fields": "rejected except exact pinned internal provider routing", "output_format_optional": [], "reference_images": false, "required": [ "model", "prompt" ], "resolution_control": null, "response_format": [ "url", "b64_json" ], "stream": [ false ] }, "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": "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." }, "manufacturer_capability": null, "method": { "http": "POST", "path": "/v1/images/generations" }, "method_aliases": [], "operation_modes": [ "text_to_image" ], "output": { "count": 1, "family": "image", "format": "validated raster MIME", "result": "actual owned URL or b64_json" } }, "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 image output" }, "label": "Ultra", "units": [ { "amount": "0.036", "amount_unit": "usd_per_exact_physical_unit", "billing_input": false, "estimate_only": true, "key": "image_output", "label": "image output", "native_amount_usd_per_unit": "0.036", "native_quantity": 1, "public_unit_label": "per image output", "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": "0.036", "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": "0.036", "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=json.loads('{\"model\": \"bytedance-seed/seedream-5-0-flash\", \"prompt\": \"A lighthouse on a cliff, watercolor\", \"n\": 1, \"response_format\": \"b64_json\"}')\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\" and tags with coordinates normalized to 0–999 relative to the specified input image. A point contains x and y; a box contains the upper-left and lower-right coordinates. Identify the image number and target object, especially when a box includes several subjects. For a cross-image edit, distinguish the object to take from one reference and the destination region in another.\n\nUse the displayed image’s own dimensions when obtaining the proportional location; canvas zoom, panning or browser coordinates are not the normalized image coordinates. Describe protected regions as well as the edited region. Compare the result’s perspective, illumination and surrounding detail with the original source.\n\nSeparate a composition into editable layers\n\nLayer decomposition is a distinct mode that takes exactly one image and returns a base image plus up to 16 independent layers. Each layer is a PNG with alpha. A prompt can name the elements to separate, such as title, main subject and decorations; without a decomposition prompt, the model identifies the main elements automatically.\n\nThe results include layer names, descriptions, stacking order and placement boxes. Use the base image with stacking index zero, then place the other layers in ascending stacking order. Absolute boxes describe placement in the output base image; normalized boxes describe proportional placement on a different canvas. Keep this returned placement metadata with the image files so the original composition can be reconstructed before it is rearranged.\n\nFor a poster revision, separate the main artwork from the title and decorations, then inspect edges and any restored background area. A transparent layer can be edited as a single alpha-channel input with transparent PNG output. The transparent-background option is scoped to that single-input image-editing workflow; ordinary text-to-image generation is a separate operation.\n\nMultilingual composition\n\nIn addition to Chinese and English, the maker documents native prompt and image-text support for Russian, Arabic, Filipino, Thai, Turkish, Korean, Malay, Spanish, Portuguese, Indonesian, French, German, Vietnamese and Japanese. Supply the exact approved wording and reading direction, and identify which region contains each text block. Review accents, joined characters, line breaks and small labels in the final image.\n\nReference files and output specifications\n\nImage generation accepts up to 10 references in JPEG, PNG, WebP, BMP, TIFF, GIF, HEIC or HEIF. Each can be up to 30 MB, with both sides above 14 pixels, 196–36,000,000 total pixels and an aspect ratio from 1:16 to 16:1. Layer decomposition instead requires one JPEG or PNG of 262,144–36,000,000 pixels, up to 30 MB, within the same ratio range.\n\nGeneration offers 1K, 1.5K and 2K output tiers, defaulting to 2K, or explicit dimensions with 921,600–4,624,220 total pixels and ratios from 1:16 to 16:1. Both constraints apply to custom dimensions. Layer output uses 1K, 1.5K, 2K or auto, with auto as the default; the base and each layer retain their respective source aspect ratios.\n\nFinished images are JPEG or PNG. The base image’s format can be selected separately, while decomposed layers remain PNG with alpha. Delivery can use encoded image data or download links retained for 24 hours. Save every returned image and its metadata for the intended design workflow. Inspect text, edited details and layer alignment at the size where the artwork will be used.", "alias_of": null, "aliases": [], "author": "ByteDance Seed", "available": null, "canonical_model": "bytedance-seed/seedream-5-0-flash", "capabilities": { "context_length": 0, "manufacturer_input": [ "text", "image" ], "manufacturer_output": [ "image" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.036", "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": "0.036", "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, "declared_tariff_references": [ { "client_selectable": false, "key": "c28268da12f5c8a4b252dcc4", "label": "Image pricing configurations", "profiles": [ { "basis": "Equivalent listings describe the same charge; they do not add a second fee.", "dimensions": { "conditions": "No pricing variant is declared." }, "label": "Output image", "units": [ { "amount": "0.036", "amount_unit": "usd_per_image", "billing_input": false, "key": "output_image", "label": "Output image", "public_unit_label": "per image", "quantity": 1, "rate_role": "typed_image_reference", "side": "out", "unit": "image" } ] }, { "basis": "Equivalent listings describe the same charge; they do not add a second fee.", "dimensions": { "conditions": "No pricing variant is declared." }, "label": "Input image", "units": [ { "amount": "0", "amount_unit": "usd_per_image", "billing_input": false, "key": "input_image", "label": "Input image", "public_unit_label": "per image", "quantity": 1, "rate_role": "typed_image_reference", "side": "in", "unit": "image" } ] } ] } ], "entity_type": "model", "formats": [ "images" ], "id": "bytedance-seed/seedream-5-0-flash", "input": [ "text" ], "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": "Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.", "errors": [ { "code": null, "condition": "Invalid required fields, material representation or parameter value", "http_status": 400, "recovery": "Correct the indicated fields before a new creation request.", "type": "invalid_request_error" }, { "code": null, "condition": "The returned response says the operation or result requires a check", "http_status": null, "recovery": "Keep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.", "type": "server_error" } ], "hints": [], "ignored_fields": [], "lifecycle": { "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.", "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": "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." }, "material_combinations": [ { "content_type": "application/json", "mode": "text_to_image", "reference_images": false, "required": [ "prompt" ] } ], "media_library": { "asset": { "fields": [ { "description": null, "name": "asset_id", "type": "string" }, { "description": null, "name": "task_id", "type": "string" }, { "description": null, "name": "output_key", "type": "string" }, { "description": null, "name": "family", "type": "string" }, { "description": null, "name": "model", "type": "string" }, { "description": null, "name": "method", "type": "string" }, { "description": null, "name": "status", "type": "string" }, { "description": null, "name": "content_type", "type": "string" }, { "description": null, "name": "sha256", "type": "string" }, { "description": null, "name": "size_bytes", "type": "integer" }, { "description": null, "name": "content_url", "type": "string" } ], "http": "GET", "id_source": "actual returned asset_id", "path": "/v1/media/assets/{asset_id}" }, "content": { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "range_header_supported": true, "url_source": "Use exact returned signed content_url including its token; do not construct a token." }, "expired_link": { "code": "link_expired", "http_status": 404, "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate." }, "list": { "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.", "http": "GET", "output_fields": [ { "description": null, "name": "object", "type": "string" }, { "description": null, "name": "data", "type": "asset[]" }, { "description": null, "name": "next_cursor", "type": "string|null" } ], "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "family", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "cursor", "required": false, "type": "string" }, { "availability": "source_interface", "default": 20, "default_known": true, "enum": null, "enum_known": false, "maximum": 100, "minimum": 1, "name": "limit", "required": false, "type": "integer" } ], "path": "/v1/media/assets" }, "revoke": { "http": "DELETE", "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.", "path": "/v1/media/assets/{asset_id}", "pending_status": "revoking", "success_statuses": [ 202, 204 ] }, "task": { "http": "GET", "id_source": "actual returned task_id or media library record; operation_id is not task_id", "path": "/v1/media/tasks/{task_id}" } }, "operation_modes": [ "text_to_image" ], "outputs": { "all_results": "Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.", "count": 1, "family": "image", "fields": [ { "description": null, "name": "created", "type": "integer" }, { "description": null, "name": "data[].url", "type": "string" }, { "description": null, "name": "data[].b64_json", "type": "base64 string" }, { "description": null, "name": "usage", "type": "object" } ], "format": "actual validated raster MIME" }, "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "bytedance-seed/seedream-5-0-flash" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "availability": "source_interface", "conditions": "Nonempty UTF8 prompt. No manufacturer-wide character limit is invented.", "default": null, "default_known": false, "enum": null, "enum_known": false, "min_length": 1, "name": "prompt", "required": true, "type": "string" }, { "availability": "source_interface", "default": 1, "default_known": true, "enum": [ 1 ], "enum_known": true, "name": "n", "required": false, "type": "integer" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "url", "b64_json" ], "enum_known": true, "name": "response_format", "required": false, "type": "string" }, { "availability": "source_interface", "default": false, "default_known": true, "enum": [ false ], "enum_known": true, "name": "stream", "required": false, "type": "boolean" } ], "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.", "unsupported": [ "image edits/references", "resolution/size", "aspect_ratio", "stream=true", "n other than1", "other fields outside this exact facade profile", "output_format field must be omitted" ] }, "hints": [ "Generate one image from prompt.", "Save every data item; url/b64_json are result encodings." ], "input": { "aspect_ratio_control": null, "content_type": "application/json", "edit": false, "material_types": [ "text" ], "n": [ 1 ], "optional": [ "n", "response_format", "stream" ], "other_fields": "rejected except exact pinned internal provider routing", "output_format_optional": [], "reference_images": false, "required": [ "model", "prompt" ], "resolution_control": null, "response_format": [ "url", "b64_json" ], "stream": [ false ] }, "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": "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." }, "manufacturer_capability": null, "method": { "http": "POST", "path": "/v1/images/generations" }, "method_aliases": [], "operation_modes": [ "text_to_image" ], "output": { "count": 1, "family": "image", "format": "validated raster MIME", "result": "actual owned URL or b64_json" } }, "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 image output" }, "label": "Ultra", "units": [ { "amount": "0.036", "amount_unit": "usd_per_exact_physical_unit", "billing_input": false, "estimate_only": true, "key": "image_output", "label": "image output", "native_amount_usd_per_unit": "0.036", "native_quantity": 1, "public_unit_label": "per image output", "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": "0.036", "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": "0.036", "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=json.loads('{\"model\": \"bytedance-seed/seedream-5-0-flash\", \"prompt\": \"A lighthouse on a cliff, watercolor\", \"n\": 1, \"response_format\": \"b64_json\"}')\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\"