Create Video From Text

April 18, 2025 (February 16, 2026)

Table of contents

  1. Model Support Matrix
  2. Request Headers
  3. Request Body
  4. Responses
  5. Model
  6. Examples
  7. Try It

This endpoint generates a video based on a text prompt.

Model Support Matrix
Feature v3.0 v2.6 v2.5 v2.1 Master v1.5/v1.6
Duration 3-15s 5/10s 5/10s 5/10s 5/10s
Mode std
Mode pro
Audio
Default on

Native Audio
(Pro)

Sound Effects

Sound Effects

Sound Effects
Multi-shot
cfg_scale

https://api.useapi.net/v1/kling/videos/text2video

Request Headers
Authorization: Bearer {API token}
Content-Type: application/json
# Alternatively you can use multipart/form-data
# Content-Type: multipart/form-data
Request Body
{
  "email": "[email protected]",
  "prompt": "A majestic mountain landscape with snow-capped peaks and flowing rivers",
  "negative_prompt": "people, buildings, text, low quality",
  "duration": "10",
  "model_name": "kling-v2-1-master",
  "aspect_ratio": "16:9",
  "replyUrl": "https://your-callback-url.com/webhook",
  "replyRef": "your-reference-id"
}
  • email is optional when only one account configured.
    However, if you have multiple accounts configured, this parameter becomes required.

  • prompt is required (unless using multi-shot), the text description of the video to generate. Maximum length: 2500 characters. Cannot be used together with multi-shot parameters (shot_N_prompt/shot_N_duration).

  • negative_prompt is optional, what not to include in the generated video. Models 2.5, 2.6, and 3.0 do not support this parameter.
    Maximum length: 2500 characters.

  • cfg_scale is optional, guidance scale for text-to-video generation. Models 2.x do not support this parameter.
    Range: 0 to 1. Default: 0.5.

  • duration is optional, length of the video in seconds. Cannot be used together with multi-shot parameters (shot_N_prompt/shot_N_duration). Supported values depend on model_name:

    Model Supported Durations
    kling-v3-0 3, 4, 5 (default), 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
    kling-v2-6, v2-5, v2-1-master, v1-6, v1-5 5 (default), 10
  • model_name is optional, the AI model version to use. Supported values: kling-v3-0, kling-v2-6, kling-v2-5, kling-v2-1-master, kling-v1-6 (default), kling-v1-5.

  • aspect_ratio is optional, the video aspect ratio. Supported values: 16:9 (default), 9:16, 1:1.

  • mode is optional, quality level. Models 2.1 Master and 2.5 only support pro mode. Supported values: std (standard, default) or pro (higher quality, slower generation). Model 2.6 supports both modes, but pro is required when enable_audio is true.

  • enable_audio is optional, add sound effects (Native Audio for models 2.6 and 3.0). Supported values: false (default) or true. Model 2.6 with enable_audio: true requires mode: pro. Model 3.0 defaults to audio enabled; set enable_audio: false to disable.

  • shot_1_prompt through shot_6_prompt are optional, per-shot text prompts for multi-shot storytelling (v3 only). Maximum length: 2500 characters per shot. Minimum 2 shots required. Cannot be used together with prompt or duration.

  • shot_1_duration through shot_6_duration are optional, per-shot duration in seconds. Each shot must have both prompt and duration. Total duration must be 3-15 seconds. Shots must be sequential with no gaps (e.g. shot_1 + shot_2, not shot_1 + shot_3).

  • maxJobs is optional, range from 1 to 50.
    Specifies the maximum number of concurrent jobs.

  • replyUrl is optional, a callback URL to receive generation progress and result.
    See GET /tasks/task_id for response model.

  • replyRef is optional, a reference identifier for the callback.

Responses
  • 200 OK

    {
      "task": {
        "id": 123456789,
        "userId": 12345,
        "type": "m2v_txt2video_hq",
        "scene": "NORMAL_CREATION",
        "status": 5,
        "status_name": "submitted",
        "status_final": false,
        "taskInfo": {
          "type": "m2v_txt2video_hq",
          "inputs": [],
          "arguments": [
            {
              "name": "prompt",
              "value": "A majestic mountain landscape with snow-capped peaks and flowing rivers"
            },
            {
              "name": "negative_prompt",
              "value": "people, buildings, text, low quality"
            },
            {
              "name": "cfg",
              "value": "0.5"
            },
            {
              "name": "duration",
              "value": "5"
            },
            {
              "name": "kling_version",
              "value": "1.6"
            },
            {
              "name": "aspect_ratio",
              "value": "16:9"
            }
          ],
          "extraArgs": {},
          "callbackPayloads": [],
          "scene": "NORMAL_CREATION"
        },
        "favored": false,
        "deleted": false,
        "viewed": false,
        "createTime": 1745376611075,
        "updateTime": 1745376611075
      },
      "works": [],
      "status": 5,
      "status_name": "submitted",
      "status_final": false,
      "message": "",
      "limitation": {
        "type": "m2v_txt2video_hq",
        "remaining": 10000,
        "limit": 10000
      },
      "userPoints": {
        "points": [],
        "total": 0
      },
      "userTickets": {
        "ticket": []
      },
      "editProject": null
    }
    
  • 400 Bad Request

    {
      "error": "Parameter prompt is required"
    }
    
  • 401 Unauthorized

    {
      "error": "Unauthorized",
      "code": 401
    }
    
  • 500 Internal Server Error

    Kling uses a 500 response to indicate moderation and other issues with the input. It may be hard to separate actual 500 errors from moderation errors, so use the error field text and your best judgement to tell them apart, since the message field most often has very generic and perhaps misleading text.

    {
      "error": "The content you uploaded appears to violate the community guidelines. (CM_EXT.POther)",
      "message": "Service busy (CM_EXT.POther)"
    }
    

When successful, the response includes a task ID which can be used to check the status using GET /tasks/task_id.

Model
{ // TypeScript, all fields are optional
    task: {
        id: number
        userId: number
        type: string
        scene: string
        status: number
        status_name: 'submitted' | 'failed' | 'processing' | 'succeed'
        status_final: boolean
        taskInfo: {
            type: string
            inputs: Array<{
                name: string
                inputType: string
                token: string | null
                blobStorage: any | null
                url: string
                cover: string | null
                fromWorkId: number | null
            }>
            arguments: Array<{
                name: string
                value: string
            }>
            extraArgs: Record<string, any>
            callbackPayloads: any[]
            scene: string
        }
        favored: boolean
        deleted: boolean
        viewed: boolean
        createTime: number
        updateTime: number
        viewTime: number
    }
    works: Array<any>
    status: number
    status_name: 'submitted' | 'failed' | 'processing' | 'succeed'
    status_final: boolean
    message: string
    error: string
    limitation: {
        type: string
        remaining: number
        limit: number
    }
    userPoints: {
        points: Array<{
            orderId: string
            type: string
            amount: number
            balance: number
            startTime: number
            endTime: number
        }>
        total: number
    }
    userTickets: {
        ticket: Array<{
            orderId: string
            type: string
            packageType: string
            amount: number
            balance: number
            startTime: number
            endTime: number
        }>
    }
    editProject: any | null
}
Examples
  • curl -X POST "https://api.useapi.net/v1/kling/videos/text2video" \
       -H "Content-Type: application/json" \
       -H "Authorization: Bearer …" \
       -d '{
         "email": "[email protected]",
         "prompt": "A majestic mountain landscape with snow-capped peaks and flowing rivers",
         "negative_prompt": "people, buildings, text, low quality",
         "model_name": "kling-v1-6",
         "aspect_ratio": "16:9",
         "mode": "pro"
       }'
    
  • const token = "API token";
    const email = "Previously configured account email";
    const apiUrl = "https://api.useapi.net/v1/kling/videos/text2video"; 
    const response = await fetch(apiUrl, {
      method: "POST",
      headers: {
        "Content-Type": "application/json",
        "Authorization": `Bearer ${token}`,
      },
      body: JSON.stringify({
        email: email,
        prompt: "A majestic mountain landscape with snow-capped peaks and flowing rivers",
        negative_prompt: "people, buildings, text, low quality",
        model_name: "kling-v1-6",
        aspect_ratio: "16:9",
        mode: "pro"
      })
    });
    const result = await response.json();
    console.log("response", {response, result});
    
  • import requests
    token = "API token"
    email = "Previously configured account email"
    apiUrl = "https://api.useapi.net/v1/kling/videos/text2video"
    headers = {
        "Content-Type": "application/json", 
        "Authorization" : f"Bearer {token}"
    }
    data = {
        "email": email,
        "prompt": "A majestic mountain landscape with snow-capped peaks and flowing rivers",
        "negative_prompt": "people, buildings, text, low quality",
        "model_name": "kling-v1-6",
        "aspect_ratio": "16:9",
        "mode": "pro"
    }
    response = requests.post(apiUrl, headers=headers, json=data)
    print(response, response.json())
    
Try It