AI Apparel Image Set & Photography API v3

REST API and MCP service documentation generated from server-side API definitions. Responses shown here are the direct payload returned by each API execution.

API selector
Multimodal AI

API overview

Generate coordinated apparel marketing and product-photography image sets. Review authentication, request parameters, and response fields.

Try this API
Endpoint
https://api.nexscope.ai/api/skill-api/v1/skills/ai-apparel-image-set-photography-v3/run
MCP method
nexscope_ai_apparel_image_set_photography_v3

Authentication

All run endpoints require a user API key. Send it as a bearer token in the Authorization header.

Authorization: Bearer nk_xxxxxxxxxxxxxxxxx
Missing or invalid API keys return an authentication error. Manage keys from .
POSThttps://api.nexscope.ai/api/skill-api/v1/skills/ai-apparel-image-set-photography-v3/run

Run an API

Create apparel ecommerce image sets from clothing images with optional model and scene references.

Slugai-apparel-image-set-photography-v3
HeadersAuthorization: Bearer nk_...
Content-Type: application/json
Request bodyAPI-specific JSON object.
Response bodyDirect API response payload. No data/result wrapper is added.

Status codes

CodeDescription
200API executed successfully. Body is the direct response payload.
400Request JSON or required API parameters are invalid.
401API key is missing, invalid, or cannot be matched to a user.
5xxAPI execution or upstream service failed.

Example request

curl -X POST https://api.nexscope.ai/api/skill-api/v1/skills/ai-apparel-image-set-photography-v3/run \
  -H "Authorization: Bearer nk_xxxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{   "imageList": [     "https://example.com/product.jpg"   ],   "provider": "BANANA_2",   "sellerPoint": "Lightweight breathable summer dress",   "isExtractPrePoint": false,   "resolution": "2K",   "aspectRatio": "1:1",   "noText": false,   "brandKey": "{\"brandColor\":\"#0775FA\",\"fontStyle\":\"sans serif\",\"salesRegion\":\"North America\",\"language\":\"English\",\"platform\":\"Amazon\"}",   "quality": "medium",   "sensitiveLibraryId": 1001,   "replaceLibraryId": 1002,   "modelImageUrl": "https://example.com/model-reference.jpg",   "sceneImageUrl": "https://example.com/scene.jpg",   "isExactScene": true,   "modelAndSceneInfo": "{\"model\":\"female adult\",\"scene\":\"studio\"}",   "aPlusNum": 0,   "aPlusProNum": 0,   "aPlusHasPhone": false,   "aPlusAspectRatio": "1:1",   "modelTypeNum": 0,   "insTypeNum": 0,   "sellerTypeNum": 0,   "sizeTypeNum": 0,   "whiteTypeNum": 0,   "aPlusStyles": [     {       "id": 1     },     {       "prompt": "clean editorial layout"     }   ],   "pointStyles": [     {       "id": 2     },     {       "prompt": "minimal feature callouts"     }   ] }'
All categories/ Multimodal AI
POSThttps://api.nexscope.ai/api/skill-api/v1/skills/ai-apparel-image-set-photography-v3/run

Run this API

Send a JSON request to execute this API and receive the direct response payload.

Open tester

Endpoint

MethodPOST
Pathhttps://api.nexscope.ai/api/skill-api/v1/skills/ai-apparel-image-set-photography-v3/run
AuthBearer API key
Content-Typeapplication/json

Request body

NameTypeRequiredDescription
imageListarrayrequired
Public apparel image URLs. Provide no more than 5 JPG, JPEG, PNG, or WEBP images; each image must be at most 10 MB and between 384 and 4096 pixels.
Example: [ "https://example.com/product.jpg" ]
providerstringoptional
Image model. Defaults to BANANA_2.
Available options
  • BANANA_2
  • BANANA_2_LITE
  • BANANA_PRO
  • WAN2_7
  • SEEDREAM5_PRO
  • GPT_2_IMAGE
Example: BANANA_2
sellerPointstringconditional
Product selling points, up to 2500 characters. Required when isExtractPrePoint is false.
Example: Lightweight breathable summer dress
isExtractPrePointbooleanoptional
Whether to automatically extract selling points. Defaults to false. When false, sellerPoint is required.
Example: false
resolutionstringoptional
Target resolution supported by the selected provider.
Example: 2K
aspectRatiostringoptional
Target aspect ratio.
Example: 1:1
noTextbooleanoptional
Whether generated images should avoid text.
Example: false
brandKeystringoptional
Optional brand information serialized as a JSON string. Supported keys: brandColor, fontStyle, salesRegion, language, platform, customSettings.
Example: {"brandColor":"#0775FA","fontStyle":"sans serif","salesRegion":"North America","language":"English","platform":"Amazon"}
qualitystringoptional
GPT Image quality only.
Available options
  • low
  • medium
  • high
Example: medium
sensitiveLibraryIdintegeroptional
Optional sensitive-word library ID used to screen generated copy.
Example: 1001
replaceLibraryIdintegeroptional
Optional replacement-word library ID used to rewrite generated copy.
Example: 1002
modelImageUrlstringoptional
Optional model reference image URL.
Example: https://example.com/model-reference.jpg
sceneImageUrlstringoptional
Optional scene reference image URL.
Example: https://example.com/scene.jpg
isExactScenebooleanoptional
Whether to match the provided scene closely. Defaults to true.
Example: true
modelAndSceneInfostringoptional
Model and scene information serialized as a JSON string or concise structured text.
Example: {"model":"female adult","scene":"studio"}
aPlusNumintegeroptional
Number of standard A+ images, from 0 to 12. Defaults to 0.
Example: 0
aPlusProNumintegeroptional
Number of premium A+ images, from 0 to 12. Defaults to 0.
Example: 0
aPlusHasPhonebooleanoptional
Whether A+ output includes phone display layouts.
Example: false
aPlusAspectRatiostringoptional
A+ output aspect ratio.
Available options
  • 16:9
  • 9:16
  • 1:1
  • 1:3.7
Example: 1:1
modelTypeNumintegeroptional
Number of model images, from 0 to 12. Defaults to 0.
Example: 0
insTypeNumintegeroptional
Number of social-style images, from 0 to 12. Defaults to 0.
Example: 0
sellerTypeNumintegeroptional
Number of selling-point images, from 0 to 12. Defaults to 0.
Example: 0
sizeTypeNumintegeroptional
Number of size-information images, from 0 to 12. Defaults to 0.
Example: 0
whiteTypeNumintegeroptional
Number of white-background images, from 0 to 12. Defaults to 0.
Example: 0
aPlusStylesarrayoptional
Optional A+ style entries. Each item may contain a saved style id or a custom prompt.
Example: [ { "id": 1 }, { "prompt": "clean editorial layout" } ]
pointStylesarrayoptional
Optional selling-point style entries. Each item may contain a saved style id or a custom prompt.
Example: [ { "id": 2 }, { "prompt": "minimal feature callouts" } ]

Request example

{
  "imageList": [
    "https://example.com/product.jpg"
  ],
  "provider": "BANANA_2",
  "sellerPoint": "Lightweight breathable summer dress",
  "isExtractPrePoint": false,
  "resolution": "2K",
  "aspectRatio": "1:1",
  "noText": false,
  "brandKey": "{\"brandColor\":\"#0775FA\",\"fontStyle\":\"sans serif\",\"salesRegion\":\"North America\",\"language\":\"English\",\"platform\":\"Amazon\"}",
  "quality": "medium",
  "sensitiveLibraryId": 1001,
  "replaceLibraryId": 1002,
  "modelImageUrl": "https://example.com/model-reference.jpg",
  "sceneImageUrl": "https://example.com/scene.jpg",
  "isExactScene": true,
  "modelAndSceneInfo": "{\"model\":\"female adult\",\"scene\":\"studio\"}",
  "aPlusNum": 0,
  "aPlusProNum": 0,
  "aPlusHasPhone": false,
  "aPlusAspectRatio": "1:1",
  "modelTypeNum": 0,
  "insTypeNum": 0,
  "sellerTypeNum": 0,
  "sizeTypeNum": 0,
  "whiteTypeNum": 0,
  "aPlusStyles": [
    {
      "id": 1
    },
    {
      "prompt": "clean editorial layout"
    }
  ],
  "pointStyles": [
    {
      "id": 2
    },
    {
      "prompt": "minimal feature callouts"
    }
  ]
}

Response body

Creates a Nexscope asynchronous generation task. Use taskId with the task result endpoint to retrieve the completed output. The completed result replaces generated resource URLs with Nexscope-hosted URLs and replaces provider count with actual Nexscope credits charged.

NameTypeRequiredDescription
taskIdstringrequired
Nexscope asynchronous task id used to query the generation result.
Example: 6b3f1c61-1b7d-4a59-8a7d-3b23e4b0c9e2
statusstringrequired
Task status. Initial run returns PENDING; the query endpoint may return PENDING, RUNNING, SUCCESS, FAILED, or TIMEOUT.
Example: PENDING
messagestringoptional
User-facing task state message.
Example: The task has been created. Use taskId to query the result.
errcodeintegeroptional
Upstream status code returned by the provider.
errmsgstringoptional
Upstream status message returned by the provider.
codestringoptional
Provider-specific status code.
msgstringoptional
Provider-specific status message.
typestringoptional
Provider-specific render or payload type.
titlestringoptional
Provider-specific response title.
sourceTypestringoptional
Provider-specific source platform type.
sourceToolstringoptional
Provider-specific source tool name.
costTokenintegeroptional
Token cost reported by the upstream provider.
costTimeintegeroptional
Execution time reported by the upstream provider.
pageintegeroptional
Current page returned by the upstream provider.
pageSizeintegeroptional
Page size returned by the upstream provider.
pageItemCountintegeroptional
Item count on the current page returned by the upstream provider.
totalPageintegeroptional
Total page count returned by the upstream provider.
dataSnapshotMonthstringoptional
Data snapshot month returned by the upstream provider.

Response example

Direct response payload. No extra wrapper is added.

{
  "taskId": "6b3f1c61-1b7d-4a59-8a7d-3b23e4b0c9e2",
  "status": "PENDING",
  "message": "The task has been created. Use taskId to query the result."
}

Responses

CodeDescription
200API executed successfully. Body is the direct response payload.
400Request JSON or required API parameters are invalid.
401API key is missing, invalid, or cannot be matched to a user.
5xxAPI execution or upstream service failed.

Data source, freshness, and limitations

Source, freshness, coverage, rate limits, and estimation notes are not specified in this API definition unless they appear in the request or response field documentation above. Do not assume official marketplace data or real-time freshness when it is not explicitly documented.

Related APIs

MCP

Use the MCP endpoint when an agent needs to discover and call API tools with JSON-RPC.

GET /api/skill-api/v1/mcp
POST /api/skill-api/v1/mcp
Authorization: Bearer nk_xxxxxxxxxxxxxxxxx
Content-Type: application/json

Call a tool

{
  "jsonrpc": "2.0",
  "id": "tool-call-1",
  "method": "tools/call",
  "params": {
    "name": "nexscope_ai_apparel_image_set_photography_v3",
    "arguments": {
      "imageList": [
        "https://example.com/product.jpg"
      ],
      "provider": "BANANA_2",
      "sellerPoint": "Lightweight breathable summer dress",
      "isExtractPrePoint": false,
      "resolution": "2K",
      "aspectRatio": "1:1",
      "noText": false,
      "brandKey": "{\"brandColor\":\"#0775FA\",\"fontStyle\":\"sans serif\",\"salesRegion\":\"North America\",\"language\":\"English\",\"platform\":\"Amazon\"}",
      "quality": "medium",
      "sensitiveLibraryId": 1001,
      "replaceLibraryId": 1002,
      "modelImageUrl": "https://example.com/model-reference.jpg",
      "sceneImageUrl": "https://example.com/scene.jpg",
      "isExactScene": true,
      "modelAndSceneInfo": "{\"model\":\"female adult\",\"scene\":\"studio\"}",
      "aPlusNum": 0,
      "aPlusProNum": 0,
      "aPlusHasPhone": false,
      "aPlusAspectRatio": "1:1",
      "modelTypeNum": 0,
      "insTypeNum": 0,
      "sellerTypeNum": 0,
      "sizeTypeNum": 0,
      "whiteTypeNum": 0,
      "aPlusStyles": [
        {
          "id": 1
        },
        {
          "prompt": "clean editorial layout"
        }
      ],
      "pointStyles": [
        {
          "id": 2
        },
        {
          "prompt": "minimal feature callouts"
        }
      ]
    }
  }
}

Online test

Execute the current API with your API key and JSON payload.

Try it

Send a real request with the same contract shown in the reference.

Endpoint
https://api.nexscope.ai/api/skill-api/v1/skills/ai-apparel-image-set-photography-v3/run
Task result endpoint
https://api.nexscope.ai/api/skill-api/v1/skills/ai-apparel-image-set-photography-v3/tasks/{taskId}
MCP method
nexscope_ai_apparel_image_set_photography_v3
cURL
curl -X POST \
  https://api.nexscope.ai/api/skill-api/v1/skills/ai-apparel-image-set-photography-v3/run \
  -H "Authorization: Bearer nk-..." \
  -H "Content-Type: application/json" \
  -d '{ "imageList": [], "provider": "BANANA_2", "sellerPoint": "Lightweight breathable summer dress", "isExtractPrePoint": false, "resolution": "2K", "aspectRatio": "1:1", "noText": false, "brandKey": "{\"brandColor\":\"#0775FA\",\"fontStyle\":\"sans serif\",\"salesRegion\":\"North America\",\"language\":\"English\",\"platform\":\"Amazon\"}", "quality": "medium", "sensitiveLibraryId": 1001, "replaceLibraryId": 1002, "modelImageUrl": "", "sceneImageUrl": "", "isExactScene": true, "modelAndSceneInfo": "{\"model\":\"female adult\",\"scene\":\"studio\"}", "aPlusNum": 0, "aPlusProNum": 0, "aPlusHasPhone": false, "aPlusAspectRatio": "1:1", "modelTypeNum": 0, "insTypeNum": 0, "sellerTypeNum": 0, "sizeTypeNum": 0, "whiteTypeNum": 0, "aPlusStyles": [ { "id": 1 }, { "prompt": "clean editorial layout" } ], "pointStyles": [ { "id": 2 }, { "prompt": "minimal feature callouts" } ] }'
Response
No response yet. Run the request to see the response here.
Task result

Results are checked automatically after Run API. You can also enter a task ID and check it manually; completed resources use Nexscope URLs and show actual charged credits.

Result response
No task result yet. Query the task to see the generated output here.