Choose an integration method

Multimodal AI

What this API does

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

Step 1 of 3 · Authenticate

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 .

Step 2 of 3 · Send a request

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.

Example request

Replace YOUR_API_KEY, then run this command in your terminal.

curl -X POST 'https://api.nexscope.ai/api/skill-api/v1/skills/ai-apparel-image-set-photography-v3/run' \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -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"
    }
  ]
}'

Step 3 of 3 · Inspect the result

Check the response

Read code for the request status and data for the result. Open the parameter and response reference for the full field definitions.

HTTP status codes

Code	Description
200	HTTP request completed. Check JSON code; only 0 indicates business success or acceptance.
400	Request JSON or required API parameters are invalid.
401	API key is missing, invalid, or cannot be matched to a user.
5xx	API execution or upstream service failed.

View parameters & response Try online

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 documented response payload.

Open tester

Endpoint

Method	`POST`
Path	`https://api.nexscope.ai/api/skill-api/v1/skills/ai-apparel-image-set-photography-v3/run`
Auth	`Bearer API key`
Content-Type

Step 1 of 2 · Connect your MCP client

MCP

V2 recommended

Connect remote agents through the standard MCP 2025-11-25 Streamable HTTP endpoint. Use OAuth 2.1 Authorization Code with PKCE, or an API key for compatibility.

POST https://api.nexscope.ai/api/skill-api/v2/mcp
MCP-Protocol-Version: 2025-11-25
Content-Type: application/json

Authentication

OAuth clients request the mcp:tools scope. The endpoint's 401 response advertises protected-resource metadata for authorization discovery.

Step 2 of 2 · Call the tool

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

API key*

JSON payload*

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.

Task ID

Result response

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

Related APIs

AI Model Swap

Place an ecommerce product image onto a target model.

AI Model Swap API 2.0

Swap a product image onto a fixed model reference with the version 2.0 workflow.

AI Model Scene & Background Replacement

Place a model image into a new scene or background.

AI Clothes Changer API for Tops & Bottoms

Generate virtual try-on images for separate upper and lower garments.

application/json

Request parameters

Name	Type	Required	Description
`imageList`	`array`	required	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" ]
`provider`	`string`	optional	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
`sellerPoint`	`string`	conditional	Product selling points, up to 2500 characters. Required when isExtractPrePoint is false. Example: Lightweight breathable summer dress
`isExtractPrePoint`	`boolean`	optional	Whether to automatically extract selling points. Defaults to false. When false, sellerPoint is required. Example: false
`resolution`	`string`	optional	Target resolution supported by the selected provider. Example: 2K
`aspectRatio`	`string`	optional	Target aspect ratio. Example: 1:1
`noText`	`boolean`	optional	Whether generated images should avoid text. Example: false
`brandKey`	`string`	optional	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"}
`quality`	`string`	optional	GPT Image quality only. Available options `low` `medium` `high` Example: medium
`sensitiveLibraryId`	`integer`	optional	Optional sensitive-word library ID used to screen generated copy. Example: 1001
`replaceLibraryId`	`integer`	optional	Optional replacement-word library ID used to rewrite generated copy. Example: 1002
`modelImageUrl`	`string`	optional	Optional model reference image URL. Example: https://example.com/model-reference.jpg
`sceneImageUrl`	`string`	optional	Optional scene reference image URL. Example: https://example.com/scene.jpg
`isExactScene`	`boolean`	optional	Whether to match the provided scene closely. Defaults to true. Example: true
`modelAndSceneInfo`	`string`	optional	Model and scene information serialized as a JSON string or concise structured text. Example: {"model":"female adult","scene":"studio"}
`aPlusNum`	`integer`	optional	Number of standard A+ images, from 0 to 12. Defaults to 0. Example: 0
`aPlusProNum`	`integer`	optional	Number of premium A+ images, from 0 to 12. Defaults to 0. Example: 0
`aPlusHasPhone`	`boolean`	optional	Whether A+ output includes phone display layouts. Example: false
`aPlusAspectRatio`	`string`	optional	A+ output aspect ratio. Available options `16:9` `9:16` `1:1` `1:3.7` Example: 1:1
`modelTypeNum`	`integer`	optional	Number of model images, from 0 to 12. Defaults to 0. Example: 0
`insTypeNum`	`integer`	optional	Number of social-style images, from 0 to 12. Defaults to 0. Example: 0
`sellerTypeNum`	`integer`	optional	Number of selling-point images, from 0 to 12. Defaults to 0. Example: 0
`sizeTypeNum`	`integer`	optional	Number of size-information images, from 0 to 12. Defaults to 0. Example: 0
`whiteTypeNum`	`integer`	optional	Number of white-background images, from 0 to 12. Defaults to 0. Example: 0
`aPlusStyles`	`array`	optional	Optional A+ style entries. Each item may contain a saved style id or a custom prompt. Example: [ { "id": 1 }, { "prompt": "clean editorial layout" } ]
`pointStyles`	`array`	optional	Optional selling-point style entries. Each item may contain a saved style id or a custom prompt. Example: [ { "id": 2 }, { "prompt": "minimal feature callouts" } ]

Code 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 example

Platform response envelope. code 0 indicates success or acceptance; data contains the business result.

{
  "data": {
    "taskId": "example-task",
    "status": "PENDING",
    "result": null
  },
  "code": 0,
  "msg": null,
  "ts": "0",
  "time": "2026-01-01 00:00:00",
  "cost": "-1",
  "traceId": null
}

Response fields

Name	Type	Required	Description
`data`	`any`	required	Data value used by this API operation.
`code`	`integer`	required	0 means accepted or successful; nonzero is a platform error.
`msg`	`string \| null`	required	Msg value used by this API operation.
`ts`	`string`	required	Epoch milliseconds.
`time`	`string`	required	Server local time: yyyy-MM-dd HH:mm:ss.
`cost`	`string`	required	Elapsed milliseconds, never credits; -1 outside web requests.
`traceId`	`string \| null`	required	Trace id value used by this API operation.

Any of option 1 — requires taskId, status, result

Name	Type	Required	Description
`data`	`object`	required	Data value used by this API operation.
`data.result`	`any`	required	Result value used by this API operation.
`data.status`	`string`	required	Status value used by this API operation. Allowed: PENDING, RUNNING, SUCCEEDED, FAILED, TIMEOUT
`data.taskId`	`string`	required	Task id value used by this API operation.

Any of option 1

Responses

Code	Description
200	HTTP request completed. Check JSON code; only 0 indicates business success or acceptance.
400	Request JSON or required API parameters are invalid.
401	API key is missing, invalid, or cannot be matched to a user.
5xx	API execution or upstream service failed.

AI Apparel Image Set & Photography API v3

What this API does

Authentication

Run an API

Example request

Check the response

HTTP status codes

Run this API

Endpoint

MCP

Call a tool

Online test

Try it

Related APIs

Request parameters

Code example

Response example

Response fields

Any of option 1 — requires taskId, status, result

Any of option 1

Responses

Data source, freshness, and limitations

Legacy MCP v1

Any of option 2

Any of option 2