OmniHuman 1.5 Subject Detection

Endpoint

POST /videos/generations

Full URL: https://modelfold.ai/v1/videos/generations

Authentication: every request must include the Authorization: Bearer <API_KEY> header.

Send model parameters directly in the JSON body. Do not wrap them in input. This request waits for generation to finish and returns data[].url; supported media models also offer async jobs, polling and callbacks. Replace example media URLs with your own publicly accessible files. See API gateway for billing and errors.

Input parameters for the subject detection task.

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。 Example：omnihuman-1-5/subject-detection。
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.

Request Example

curl -X POST "https://modelfold.ai/v1/videos/generations" \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "omnihuman-1-5/subject-detection",
  "image_url": "https://example.com/reference.png"
}'

{
  "model": "omnihuman-1-5/subject-detection",
  "image_url": "https://example.com/reference.png"
}

Response

200 — Generation completed. usage contains actual billing details; result URLs are illustrative.

{
  "ok": true,
  "created": 1792134000,
  "data": [
    {
      "url": "https://modelfold.ai/uploads/outputs/result.json"
    }
  ],
  "usage": {}
}