Kling O1 Pro — 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>",
"aspect_ratio": "<string>",
"duration": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"aspect_ratio": "<string>",
"duration": "<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>', aspect_ratio: '<string>', duration: '<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 O1 Pro
Kling O1 Pro — Text to Video
Generate videos with the Kling O1 Pro model using text to video.
POST
/
v1
/
jobs
/
submit
Kling O1 Pro — 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>",
"aspect_ratio": "<string>",
"duration": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"aspect_ratio": "<string>",
"duration": "<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>', aspect_ratio: '<string>', duration: '<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 a video purely from a text prompt with the Kling O1 Pro model. Choose duration and aspect ratio to fit your scene.
| Property | Value |
|---|---|
| Provider | Kling Plus |
| Model | Kling O1 Pro |
| Capability | Text to Video |
| Base Cost | 70,000 micro-cents/second ($0.070/sec) |
| Processing Time | ~240 seconds |
Request Body
string
required
Model slug. Use
kling-plus/kling-o1-pro/text-to-video for text to video generation.object
required
string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 70,000 micro-cents per second ($0.070/sec)finalCost = baseCost × duration
| Factor | Option | Multiplier |
|---|---|---|
| Duration | 5 | 5x |
10 | 10x |
Default cost: 5 seconds = 70,000 × 5 = 350,000 micro-cents ($0.350)
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-plus/kling-o1-pro/text-to-video",
"input": {
"prompt": "A neon-lit Tokyo street at night with rain reflecting the storefront signs",
"aspect_ratio": "16:9",
"duration": "5"
}
}'
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-plus/kling-o1-pro/text-to-video",
"input": {
"prompt": "A neon-lit Tokyo street at night with rain reflecting the storefront signs",
"aspect_ratio": "16:9",
"duration": "5"
}
}
)
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-plus/kling-o1-pro/text-to-video",
input: {
prompt: "A neon-lit Tokyo street at night with rain reflecting the storefront signs",
aspect_ratio: "16:9",
duration: "5"
}
})
});
const data = await response.json();
console.log(data);