Kling 2.6 — Text to Video
curl --request POST \
--url https://api.muvi.video/v1/jobs/submit \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"input": {
"prompt": "<string>",
"quality": "<string>",
"duration": "<string>",
"aspect_ratio": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"quality": "<string>",
"duration": "<string>",
"aspect_ratio": "<string>"
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
input: {
prompt: '<string>',
quality: '<string>',
duration: '<string>',
aspect_ratio: '<string>'
}
})
};
fetch('https://api.muvi.video/v1/jobs/submit', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));{
"jobId": "<string>",
"status": "<string>",
"estimatedCompletionTime": "<string>",
"costMicroCents": 123
}Kling 2.6
Kling 2.6 — Text to Video
Generate videos from text prompts using Kling 2.6
POST
/
v1
/
jobs
/
submit
Kling 2.6 — Text to Video
curl --request POST \
--url https://api.muvi.video/v1/jobs/submit \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"input": {
"prompt": "<string>",
"quality": "<string>",
"duration": "<string>",
"aspect_ratio": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"quality": "<string>",
"duration": "<string>",
"aspect_ratio": "<string>"
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
input: {
prompt: '<string>',
quality: '<string>',
duration: '<string>',
aspect_ratio: '<string>'
}
})
};
fetch('https://api.muvi.video/v1/jobs/submit', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));{
"jobId": "<string>",
"status": "<string>",
"estimatedCompletionTime": "<string>",
"costMicroCents": 123
}Generate cinematic, high-fidelity videos directly from a text description with Kling 2.6 — the newest generation of Kling’s text-to-video model. Supports standard and pro quality, multiple aspect ratios, and 5 or 10 second durations.
| Property | Value |
|---|---|
| Provider | Kling |
| Model | Kling 2.6 |
| Capability | Text to Video |
| Base Cost | 55,000 micro-cents/second ($0.055/sec) |
| Processing Time | ~180 seconds |
Request Body
string
required
Model slug. Use
kling/kling-text2video-v26/text-to-video.object
required
Input parameters for text-to-video generation.
string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 55,000 micro-cents per second ($0.055/sec)finalCost = baseCost × quality × duration
| Factor | Option | Multiplier |
|---|---|---|
| Quality | std | 1x |
pro | 1.5x | |
| Duration | 5 | 5x |
10 | 10x |
Default cost: std quality, 5 seconds = 55,000 × 1 × 5 = 275,000 micro-cents ($0.275)
Response
string
Unique identifier for the submitted job.
string
Initial job status. Always
"pending" on successful submission.string
ISO 8601 timestamp of the estimated completion time.
number
The cost of the job in micro-cents.
Code Examples
curl -X POST https://api.muvi.video/v1/jobs/submit \
-H "Authorization: Bearer $PIXELBYTE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kling/kling-text2video-v26/text-to-video",
"input": {
"prompt": "A red sports car drifts around a wet mountain corner at sunset",
"quality": "std",
"duration": "5",
"aspect_ratio": "16:9"
}
}'
import requests
response = requests.post(
"https://api.muvi.video/v1/jobs/submit",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
json={
"model": "kling/kling-text2video-v26/text-to-video",
"input": {
"prompt": "A red sports car drifts around a wet mountain corner at sunset",
"quality": "std",
"duration": "5",
"aspect_ratio": "16:9"
}
}
)
data = response.json()
print(data)
const response = await fetch("https://api.muvi.video/v1/jobs/submit", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
body: JSON.stringify({
model: "kling/kling-text2video-v26/text-to-video",
input: {
prompt: "A red sports car drifts around a wet mountain corner at sunset",
quality: "std",
duration: "5",
aspect_ratio: "16:9"
}
})
});
const data = await response.json();
console.log(data);