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POST
/
v3
/
async
/
kling-v3.0-4k-t2v
Kling v3.0 4K Text-to-Video
curl --request POST \
  --url https://api.novita.ai/v3/async/kling-v3.0-4k-t2v \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "sound": true,
  "prompt": "<string>",
  "duration": 123,
  "cfg_scale": 123,
  "aspect_ratio": "<string>",
  "negative_prompt": "<string>"
}
'
{
  "task_id": "<string>"
}

Documentation Index

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Kling v3.0 4K Text-to-Video generates native 4K ultra-high-definition videos from text prompts with cinematic quality, smooth motion, precise prompt adherence, and optional synchronized audio generation. Supports 3-15 second durations and multiple aspect ratios.
This is an asynchronous API; only the task_id will be returned. You should use the task_id to request the Task Result API to retrieve the video generation results.

​
Request Headers

​
Content-Type
string
required
Supports: application/json
​
Authorization
string
required
Bearer authentication format, for example: Bearer {{API Key}}.

​
Request Body

​
sound
boolean
default:false
Whether to generate synchronized audio simultaneously with the video. Supports Chinese and English voice output.
​
prompt
string
required
Positive prompt text for video generation, describing scene motion, camera movement, actions, voice style, atmosphere, and sound effects; must not exceed 2500 characters.Length limit: 0 - 2500
​
duration
integer
default:5
Duration of generated video in seconds. Supports flexible durations from 3 to 15 seconds.Value range: [3, 15]
​
cfg_scale
number
Controls flexibility of video generation. Higher values result in content more closely following the prompt; lower values produce more natural motion.Value range: [0, 1]
​
aspect_ratio
string
default:"16:9"
Aspect ratio of generated video.Optional values: 16:9, 9:16, 1:1
​
negative_prompt
string
Negative prompt describing elements to avoid in video and audio; must not exceed 2500 characters.Length limit: 0 - 2500

​
Response

​
task_id
string
required
Use the task_id to request the Task Result API to retrieve the generated outputs.