Kling O1 — 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 O1
Kling O1 — Text to Video
Generate videos from text prompts using Kling O1 via PixelByte API
POST
/
v1
/
jobs
/
submit
Kling O1 — 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 videos from a text prompt with Kling O1. Supports std/pro quality tiers, 16:9/9:16/1:1 aspect ratios, and 5- or 10-second durations.
| Property | Value |
|---|---|
| Provider | Kling |
| Model | Kling O1 |
| Capability | Text to Video |
| Base Cost | 70,000 micro-cents/second ($0.07/sec) |
| Processing Time | ~240 seconds |
Request Body
string
required
Model slug. Use
kling/kling-omni-o1/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: 70,000 micro-cents per second ($0.07/sec)finalCost = baseCost × duration × quality
| Factor | Option | Multiplier |
|---|---|---|
| Duration | 5 | 5x |
10 | 10x | |
| Quality | std | 1x |
pro | 1.5x |
Default cost: 5 seconds, std quality = 70,000 × 5 × 1 = 350,000 micro-cents ($0.35)
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-omni-o1/text-to-video",
"input": {
"prompt": "A futuristic city skyline at dusk with neon lights",
"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-omni-o1/text-to-video",
"input": {
"prompt": "A futuristic city skyline at dusk with neon lights",
"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-omni-o1/text-to-video",
input: {
prompt: "A futuristic city skyline at dusk with neon lights",
quality: "std",
duration: "5",
aspect_ratio: "16:9"
}
})
});
const data = await response.json();
console.log(data);