Create Video From Text
April 18, 2025 (October 1, 2025)
Table of contents
This endpoint generates a video based on a text prompt.
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
API token
is required, see Setup useapi.net for details.
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, the text description of the video to generate.
Maximum length: 2500 characters. -
negative_prompt
is optional, what not to include in the generated video. Model2.5
do not support this parameter.
Maximum length: 2500 characters. -
cfg_scale
is optional, guidance scale for text-to-video generation. Models2.x
do not support this parameter.
Range:0
to1
. Default:0.5
. -
duration
is optional, length of the video in seconds.
Supported values:5
(default) or10
. -
model_name
is optional, the AI model version to use.
Supported values:kling-v1-5
,kling-v1-6
(default),kling-v2-1-master
,kling-v2-5
. -
aspect_ratio
is optional, the video aspect ratio.
Supported values:16:9
(default),9:16
,1:1
. -
mode
is optional, quality level. Models2.1 Master
and2.5
currently does not support this parameter. Supported values:std
(standard, default) orpro
(higher quality, slower generation). -
enable_audio
is optional, add sound effects.
Supported values:false
(default) ortrue
. -
maxJobs
is optional, range from1
to50
.
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
-
{ "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 }
-
{ "error": "Parameter prompt is required" }
-
{ "error": "Unauthorized", "code": 401 }
-
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 theerror
field text and your best judgement to tell them apart, since themessage
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())