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.
Multimodal AI

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
}'

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
200HTTP request completed. Check JSON code; only 0 indicates business success or acceptance.
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.
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" } ]

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
}

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.
data.usageobjectoptional
Actual credits charged for a completed successful task; omitted when unavailable.
data.usage.chargedCreditsintegerrequired
Charged credits value used by this API operation.
Minimum: 0

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
200HTTP request completed. Check JSON code; only 0 indicates business success or acceptance.
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.

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

Online test

Execute the current API with your API key and JSON payload. Online tests use this site's configured API environment; the Endpoint and copyable examples use the public integration address.

Create an image

Reference images*Required

JPG, PNG, WEBP · Up to 5 images · 10 MB each · 384–4096 px per side

0/5
Model ReferenceOptional

Optional model reference image URL.

JPG, PNG, WEBP · 1 image · 20 MB

0/1
Scene ReferenceOptional

Optional scene reference image URL.

JPG, PNG, WEBP · 1 image · 20 MB

0/1

Image settings

Model

Image model. Defaults to BANANA_2. Supported values: BANANA_2, BANANA_2_LITE, BANANA_PRO, WAN2_7, SEEDREAM5_PRO, GPT_2_IMAGE.

Product selling points, up to 2500 characters. Required when isExtractPrePoint is false.

Extract Selling Points Automatically

Whether to automatically extract selling points. Defaults to false. When false, sellerPoint is required.

Resolution

2K (fixed)

Aspect ratio
Avoid Text

Whether generated images should avoid text.

Optional brand information serialized as a JSON string. Supported keys: brandColor, fontStyle, salesRegion, language, platform, customSettings.

Quality

GPT Image quality only. Supported values: low, medium, or high.

Optional sensitive-word library ID used to screen generated copy.

Optional replacement-word library ID used to rewrite generated copy.

Match Scene Closely

Whether to match the provided scene closely. Defaults to true.

Model and scene information serialized as a JSON string or concise structured text.

Number of standard A+ images, from 0 to 12. Defaults to 0.

Number of premium A+ images, from 0 to 12. Defaults to 0.

Include Phone Layouts

Whether A+ output includes phone display layouts.

A+ Aspect Ratio

A+ output aspect ratio. Supported values: 16:9, 9:16, 1:1, 1:3.7.

Number of model images, from 0 to 12. Defaults to 0.

Number of social-style images, from 0 to 12. Defaults to 0.

Number of selling-point images, from 0 to 12. Defaults to 0.

Number of size-information images, from 0 to 12. Defaults to 0.

Number of white-background images, from 0 to 12. Defaults to 0.

Optional A+ style entries. Each item may contain a saved style id or a custom prompt.

Optional selling-point style entries. Each item may contain a saved style id or a custom prompt.

API keys require an active subscription. Trial credits don't include API access. View plans.

Usage estimate unavailable

Final credits are shown with your result.

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Test with an API key or MCP

Try it

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

Endpoint
/ai/apparelImageSetPhotographyV3
Task result endpoint
/ai/apparelImageSetPhotographyV3/tasks/{taskId}
MCP method
nexscope_ai_apparel_image_set_photography_v3
cURL
curl -X POST \
  https://api.nexscope.ai/ai/apparelImageSetPhotographyV3 \
  -H "Authorization: Bearer nk-..." \
  -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": [], "insTypeNum": 0, "isExactScene": true, "isExtractPrePoint": false, "modelAndSceneInfo": "{\"model\":\"female adult\",\"scene\":\"studio\"}", "modelImageUrl": "", "modelTypeNum": 0, "noText": false, "pointStyles": [ { "id": 2 }, { "prompt": "minimal feature callouts" } ], "provider": "BANANA_2", "quality": "medium", "replaceLibraryId": 1002, "resolution": "2K", "sceneImageUrl": "", "sellerPoint": "Lightweight breathable summer dress", "sellerTypeNum": 0, "sensitiveLibraryId": 1001, "sizeTypeNum": 0, "whiteTypeNum": 0 }'
Response
No response yet. Run the request to see the response here.
Task result

Results are checked automatically after Run request. 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.

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