Nexscope

AI Apparel Image Set & Photography v3

Create apparel ecommerce image sets from clothing images with optional model and scene references. Available via REST API or MCP.

CostEst. 93–112 credits / call
Try online
POST · https://api.nexscope.ai/ai/apparelImageSetPhotographyV3MCP · nexscope_ai_apparel_image_set_photography_v3
Subscription required. Creative AI APIs are available only to users with an active subscription. Trial credits do not enable API key access. View subscription plans.

What this API does

Create apparel ecommerce image sets from clothing images with optional model and scene references. The request accepts imageList, provider, sellerPoint, isExtractPrePoint, resolution. Generation runs as a task: retain the task ID and retrieve the completed result before using the output.

AI Apparel Image Set & Photography v3 API use cases

Prepare listing image assets

To prepare listing image assets, a content editor submits imageList and provider to AI Apparel Image Set & Photography v3. The returned completed generation results help prepare product visuals for a listing review.

Compare a product visual treatment

A content editor uses AI Apparel Image Set & Photography v3 with imageList and provider to compare a product visual treatment. The returned completed generation results help compare the edited treatment with the source asset.

Review edited assets for a campaign

For this workflow, a content editor calls AI Apparel Image Set & Photography v3 with imageList and provider to review edited assets for a campaign. The result helps select an approved asset for the campaign.

AI Apparel Image Set & Photography v3 API FAQ

What does the AI Apparel Image Set & Photography v3 API return?

Create apparel ecommerce image sets from clothing images with optional model and scene references. It corresponds to the supplied imageList, provider, sellerPoint, isExtractPrePoint, resolution. The initial response can contain a task ID and status; the completed task result contains the generated output. Example values illustrate the response shape, rather than live account results.

How many credits does the AI Apparel Image Set & Photography v3 API cost?

The current documented cost is Est. 93–112 credits / call. This is the same cost shown at the top of this page. If a range or estimate is displayed, the final charge depends on the request. Review your available credits and the pricing page before calling the API, and check API usage records for the actual charge.

How do I call the AI Apparel Image Set & Photography v3 API from my app or an MCP client?

Send a POST request to https://api.nexscope.ai/ai/apparelImageSetPhotographyV3 with your API key as a Bearer token and the JSON inputs shown in API integration. In a compatible MCP client such as Claude or Cursor, connect Nexscope and call nexscope_ai_apparel_image_set_photography_v3. Use the MCP arguments shown in the MCP guide, or switch Online test to MCP to review its request before adding it to your app.

View plans and creditsConnect this API with MCP

Try this API
Endpoint
https://api.nexscope.ai/ai/apparelImageSetPhotographyV3
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/ai/apparelImageSetPhotographyV3

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/ai/apparelImageSetPhotographyV3' \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "aPlusAspectRatio": "1:1",
  "aPlusHasPhone": false,
  "aPlusNum": 0,
  "aPlusProNum": 0,
  "aPlusStyles": [
    {
      "id": 1
    },
    {
      "prompt": "clean editorial layout"
    }
  ],
  "aspectRatio": "1:1",
  "brandKey": "{\"brandColor\":\"#0775FA\",\"fontStyle\":\"sans serif\",\"salesRegion\":\"North America\",\"language\":\"English\",\"platform\":\"Amazon\"}",
  "imageList": [
    "https://example.com/product.jpg"
  ],
  "insTypeNum": 0,
  "isExactScene": true,
  "isExtractPrePoint": false,
  "modelAndSceneInfo": "{\"model\":\"female adult\",\"scene\":\"studio\"}",
  "modelImageUrl": "https://example.com/model-reference.jpg",
  "modelTypeNum": 0,
  "noText": false,
  "pointStyles": [
    {
      "id": 2
    },
    {
      "prompt": "minimal feature callouts"
    }
  ],
  "provider": "BANANA_2",
  "quality": "medium",
  "replaceLibraryId": 1002,
  "resolution": "2K",
  "sceneImageUrl": "https://example.com/scene.jpg",
  "sellerPoint": "Lightweight breathable summer dress",
  "sellerTypeNum": 0,
  "sensitiveLibraryId": 1001,
  "sizeTypeNum": 0,
  "whiteTypeNum": 0
}'

Code example

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

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

CodeDescription
200Default HTTP response for both success and many business errors. Only outer JSON code 0 indicates success or asynchronous acceptance; inspect data for the result.
429Execution admission rate limit; honor Retry-After when present.
503Execution admission is temporarily unavailable; honor Retry-After when present.
Opt-inX-Nexscope-Http-Status: semantic maps controller-handled business errors to HTTP status on run and task routes. Pre-authentication failures, such as a missing or invalid API key (code 11209, including an incomplete or corrupted copy) or an expired website login session (code 12001), may still return HTTP 200 before this mapping. Always check the outer JSON code; malformed requests and infrastructure failures may also return non-200 HTTP responses.
All categories/ Multimodal AI
POSThttps://api.nexscope.ai/ai/apparelImageSetPhotographyV3

Run this API

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

Endpoint

MethodPOST
Pathhttps://api.nexscope.ai/ai/apparelImageSetPhotographyV3
AuthBearer API key
Content-Typeapplication/json

Request parameters

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" } ]

Response example

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

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

Response fields

NameTypeRequiredDescription
codeintegerrequired
0 means accepted or successful; nonzero is a platform error.
coststringrequired
Elapsed milliseconds, never credits; -1 outside web requests.
dataanyrequired
Data value used by this API operation.
msgstring | nullrequired
Msg value used by this API operation.
timestringrequired
Server local time: yyyy-MM-dd HH:mm:ss.
traceIdstring | nullrequired
Trace id value used by this API operation.
tsstringrequired
Epoch milliseconds.

Any of option 1 — requires taskId, status, result

NameTypeRequiredDescription
dataobjectrequired
Data value used by this API operation.
data.resultanyrequired
Result value used by this API operation.
data.statusstringrequired
Status value used by this API operation.
Allowed: PENDING, RUNNING, SUCCEEDED, FAILED, TIMEOUT
data.taskIdstringrequired
Task id value used by this API operation.

Any of option 1

NameTypeRequiredDescription
data.resultobjectrequired
Completed generation output retained from the task result. Fields vary by capability; generated resources use Nexscope-hosted URLs and any count represents charged Nexscope credits. This is the business output, not a task creation receipt.

Any of option 2

NameTypeRequiredDescription
data.resultnullrequired
Result value used by this API operation.

Any of option 2

NameTypeRequiredDescription
datanullrequired
Data value used by this API operation.

Responses

CodeDescription
200Default HTTP response for both success and many business errors. Only outer JSON code 0 indicates success or asynchronous acceptance; inspect data for the result.
429Execution admission rate limit; honor Retry-After when present.
503Execution admission is temporarily unavailable; honor Retry-After when present.
Opt-inX-Nexscope-Http-Status: semantic maps controller-handled business errors to HTTP status on run and task routes. Pre-authentication failures, such as a missing or invalid API key (code 11209, including an incomplete or corrupted copy) or an expired website login session (code 12001), may still return HTTP 200 before this mapping. Always check the outer JSON code; malformed requests and infrastructure failures may also return non-200 HTTP responses.

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

Legacy MCP v1

Existing API-key clients can continue using the compatibility endpoint. New integrations should use MCP v2.

GET / POST /mcp/legacy

What can you do with this API?

Data explained and practical use cases

AI Guide

Question

What can AI Apparel Image Set & Photography v3 produce, and how might I use it?

AI answer

This API starts a task to generate apparel imagery from clothing photos and optional model or scene references. Requested output types include model, social-style, selling-point, size-information, white-background, and A+ images. Retrieve the completed task result before using any generated images.

Data categoryDocumented fieldsWhat the values mean
Task statedata.status, data.taskIdThe example reports PENDING and an identifier for retrieving the task later.
Immediate media resultdata.resultThe submission example is null; it contains no finished images.
Completed outputNo completed-result fields documentedThe provided record does not establish image URLs, file format, or the final result structure.
  • Request model photos for an apparel listing using a garment image and optional modelImageUrl.
    • Prompt example: “I am preparing product creative for an online listing. Could you request model photos for an apparel listing using a garment image and optional modelImageUrl? Ask me for required source images or text, and show the finished result only after the task completes.”
  • Request white-background and size-information images for a product page.
    • Prompt example: “I am preparing product creative for an online listing. Could you request white-background and size-information images for a product page? Ask me for required source images or text, and show the finished result only after the task completes.”
  • Create selling-point or A+ imagery guided by supplied product claims and brand settings.
    • Prompt example: “I am preparing product creative for an online listing. Could you create selling-point or A+ imagery guided by supplied product claims and brand settings? Ask me for required source images or text, and show the finished result only after the task completes.”
  • Generate social-style apparel visuals using an optional scene reference, then use the completed images in creative review.
    • Prompt example: “I am preparing product creative for an online listing. Could you generate social-style apparel visuals using an optional scene reference, then use the completed images in creative review? Ask me for required source images or text, and show the finished result only after the task completes.”

These scenarios describe requested outputs. The documented response only confirms a pending task; inspect the retrieved completed result to see what was actually produced.

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