OmniHuman 1.5 Subject Detection
This page is generated from the upstream official OpenAPI documentation. Endpoints, parameters and examples match the official docs; brand and API domain are replaced with ModelFold.
Endpoint
POST /jobs/createTask
Full URL: https://ai.modelfold.online/v1/jobs/createTask
Authentication: every request must include the
Authorization: Bearer <API_KEY>header.
Create Task
Use this endpoint to create a new subject detection task. Upload a portrait image and the model will detect subjects in the image, supporting up to 5 subjects.
- Get Task Details — After submission, use the unified query endpoint to check task progress and retrieve results
TIP
For production use, we recommend providing the callBackUrl parameter so your service can receive completion notifications instead of polling for task status.
File Upload
TIP
Need to upload files before calling this endpoint? See File Upload API Quickstart.
TIP
This endpoint is free.
Related Resources
- Model Marketplace — Explore all available models and capabilities
- Common API — Check account credits and usage
Request Parameters
Body (application/json)
| Parameter | Type | Required | Description |
|---|---|---|---|
model | string | Yes | The model name used for subject detection. This field is required. - This endpoint must use the omnihuman-1-5/subject-detection model Default:"omnihuman-1-5/subject-detection"。 Allowed values:omnihuman-1-5/subject-detection。 示例:omnihuman-1-5/subject-detection。 |
input | object | Yes | Input parameters for the subject detection task. |
input.image_url | string | Yes | Portrait image URL. Supports detection of up to 5 subjects in the image. Accepted file types: image/jpeg, image/png, image/jpg. Max file size: 5MB. |
callBackUrl | string | No | Callback URL. Once the task is fully completed, ModelFold will send the result to the business webhook URL. To verify callbacks, see Webhook Verification Guide. |
Request Example
curl -X POST "https://ai.modelfold.online/v1/jobs/createTask" \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "omnihuman-1-5/subject-detection",
"input": {
"image_url": "https://your-domain.com/image/portrait.png"
},
"callBackUrl": "https://your-domain.com/api/callback"
}'{
"model": "omnihuman-1-5/subject-detection",
"input": {
"image_url": "https://your-domain.com/image/portrait.png"
},
"callBackUrl": "https://your-domain.com/api/callback"
}Response
200 — Request successful
{
"code": 200,
"msg": "success",
"data": {
"taskId": "task_omnihuman-1-5-subject-detection_1234567890"
}
}Callback
videoTaskCompleted
Callback URL: {request.body#/callBackUrl} (the callBackUrl in the request body).
The system sends this callback when the omnihuman-1-5/subject-detection task succeeds or fails.
Callback body parameters
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
code | integer | 是 | Unified callback code: 200 for success, 501 for failure. Allowed values:200 / 501。 示例:200。 |
msg | string | 是 | Unified callback message. Allowed values:Playground task completed successfully. / Playground task failed.。 示例:Playground task completed successfully.。 |
data | object | 是 | — |
data.taskId | string | 是 | The unique task identifier. |
data.model | string | 是 | The model used for the task. Allowed values:omnihuman-1-5/subject-detection。 示例:omnihuman-1-5/subject-detection。 |
data.state | string | 是 | Terminal task state. Allowed values:success / fail。 示例:success。 |
data.param | string | 是 | JSON string containing the submitted task parameters. |
data.resultJson | string | 否 | JSON string containing resultUrls, firstFrameUrl, lastFrameUrl, or resultObject when successful. Present only when state is success. |
data.failCode | string | 否 | Failure code, a numeric string such as "400" or "500". Present only when state is fail. |
data.failMsg | string | 否 | Failure reason. Present only when state is fail. |
data.costTime | integer | 否 | Processing time in seconds. Present on both success and failure callbacks. |
data.completeTime | integer | 否 | Task completion timestamp. |
data.createTime | integer | 否 | Task creation timestamp. |
data.updateTime | integer | 否 | Use completeTime as the completion time; updateTime may equal createTime. |
data.creditsConsumed | number | 否 | Credits consumed by the task; 0 for failed tasks. |
Task completed successfully
{
"code": 200,
"msg": "Playground task completed successfully.",
"data": {
"taskId": "task_example_video_webhook_001",
"model": "omnihuman-1-5/subject-detection",
"state": "success",
"param": "{\"input\":\"{\\\"image_url\\\":\\\"https://example.com/input-image.jpg\\\"}\",\"callBackUrl\":\"https://example.com/callback\",\"model\":\"omnihuman-1-5/subject-detection\"}",
"resultJson": "{\"resultObject\":{\"mask_urls\":[\"https://example.com/mask-1.png\",\"https://example.com/mask-2.png\"]}}",
"costTime": 12,
"completeTime": 1234567890,
"createTime": 1234560000,
"updateTime": 1234567890,
"creditsConsumed": 1.23
}
}Task failed
{
"code": 501,
"msg": "Playground task failed.",
"data": {
"taskId": "task_example_video_webhook_001",
"model": "omnihuman-1-5/subject-detection",
"state": "fail",
"param": "{\"input\":\"{\\\"image_url\\\":\\\"https://example.com/input-image.jpg\\\"}\",\"callBackUrl\":\"https://example.com/callback\",\"model\":\"omnihuman-1-5/subject-detection\"}",
"failCode": "400",
"failMsg": "<error detail>",
"costTime": 12,
"creditsConsumed": 0
}
}