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MAKEUGC PLATFORM API · DOCS V2

Kling 3 Turbo Standard

Generate a video from text or a first frame with Kling 3 Turbo Standard.

VIDEO OUTPUT

Request

POST /enterprise/generate

Model ID: kling-3-turbo-standard. Put model inputs inside params; keep model and project_id at the top level.

Unknown parameters are rejected. Send model inputs inside params; project_id belongs in the request envelope.
This model uses status polling. webhook_url is not supported and is rejected before a job is submitted.
Each request generates one scene. Send a separate request for each additional scene.

Request envelope

Parameter Description
model
string
Required
Exact public model ID from the model catalog.
params
object
Required
Model-specific input fields. See the individual model page for required fields, types, defaults and limits.
project_id
string
Optional
Existing project belonging to your account. Omit to create a project automatically.

Model parameters

Parameter Description
prompt
string
Required
Describe the output you want to generate.

Allowed: At least 1 characters; Up to 2000 characters

image_url
string
Optional
Public HTTP(S) media URL. Private addresses, credentials and data URIs are not accepted.
aspect_ratio
string
Optional
aspect ratio input.

Allowed: 9:16 | 16:9 | 1:1

Default: 9:16

duration
number
Optional
duration input.

Allowed: 10; 15

Default: 10

Code examples

Set MAKEUGC_API_KEY on your server. Replace example media URLs with files you host and keep accessible during processing.

cURL
curl --fail-with-body --max-time 120 -X POST "https://app.makeugc.ai/api/platform/enterprise/generate" \
  -H "X-Api-Key: $MAKEUGC_API_KEY" \
  -H "Content-Type: application/json" \
  --data '{
  "model": "kling-3-turbo-standard",
  "params": {
    "prompt": "A slow camera move around a ceramic coffee cup in warm morning light.",
    "duration": 10
  }
}'
JavaScript
// Run on your server with Node.js 20+.
const apiKey = process.env.MAKEUGC_API_KEY;
if (!apiKey) throw new Error("Set MAKEUGC_API_KEY first");

const response = await fetch("https://app.makeugc.ai/api/platform/enterprise/generate", {
  method: "POST",
  headers: {
    "X-Api-Key": apiKey,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
  "model": "kling-3-turbo-standard",
  "params": {
    "prompt": "A slow camera move around a ceramic coffee cup in warm morning light.",
    "duration": 10
  }
}),
  signal: AbortSignal.timeout(120000),
});
const text = await response.text();
if (!response.ok) {
  throw new Error(`HTTP ${response.status}: ${text} (request ${response.headers.get("x-request-id")})`);
}
const result = JSON.parse(text);
console.log(result);
Python
# Install the requests package before running.
import os
import requests

payload = {
    "model": "kling-3-turbo-standard",
    "params": {
        "prompt": "A slow camera move around a ceramic coffee cup in warm morning light.",
        "duration": 10
    }
}

response = requests.post(
    "https://app.makeugc.ai/api/platform/enterprise/generate",
    headers={"X-Api-Key": os.environ["MAKEUGC_API_KEY"]},
    json=payload,
    timeout=120,
)
if not response.ok:
    raise RuntimeError(f"HTTP {response.status_code}: {response.text} "
                       f"(request {response.headers.get('x-request-id')})")
print(response.json())

200 · Job accepted

Generation response
{
  "request_id": "request_123",
  "project_id": "project_123",
  "media": "video",
  "model": "kling-3-turbo-standard",
  "status": "queued",
  "message": "Enterprise API job queued"
}

Retrieve the result

Save request_id, then poll every 5–10 seconds. A successful generation request does not mean the output is ready.

cURL
curl --fail-with-body --max-time 120 -X GET "https://app.makeugc.ai/api/platform/enterprise/status/request_123?media=video" \
  -H "X-Api-Key: $MAKEUGC_API_KEY"
JavaScript
// Run on your server with Node.js 20+.
const apiKey = process.env.MAKEUGC_API_KEY;
if (!apiKey) throw new Error("Set MAKEUGC_API_KEY first");

const response = await fetch("https://app.makeugc.ai/api/platform/enterprise/status/request_123?media=video", {
  method: "GET",
  headers: {
    "X-Api-Key": apiKey,
  },
  signal: AbortSignal.timeout(120000),
});
const text = await response.text();
if (!response.ok) {
  throw new Error(`HTTP ${response.status}: ${text} (request ${response.headers.get("x-request-id")})`);
}
const result = JSON.parse(text);
console.log(result);
Python
# Install the requests package before running.
import os
import requests

response = requests.get(
    "https://app.makeugc.ai/api/platform/enterprise/status/request_123?media=video",
    headers={"X-Api-Key": os.environ["MAKEUGC_API_KEY"]},
    timeout=120,
)
if not response.ok:
    raise RuntimeError(f"HTTP {response.status_code}: {response.text} "
                       f"(request {response.headers.get('x-request-id')})")
print(response.json())

200 · Completed

Status response
{
  "request_id": "request_123",
  "media": "video",
  "status": 1,
  "video_url": "https://your-cdn.example/result.mp4",
  "created_at": "2026-10-13T00:00:00.000Z",
  "updated_at": "2026-10-13T00:00:30.000Z"
}

Read status: 0 is processing, 1 is completed and 2 is failed. Video status can also be a string. Output is in video_url . If completed has no output URL yet, continue polling within your timeout. See jobs & webhooks.

Credits & errors

Cost: based on duration. Read returned credit fields when available. See credit units and limits.

Invalid inputs return 400; insufficient credits can return 400 or 402 depending on the generation path. Access restrictions return 403 and temporary model unavailability can return 503. See error handling. Each POST can start a billable job; do not automatically resubmit after a timeout.

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