Kling Text2Video V2.5 — 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>",
"seed": 123
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"quality": "<string>",
"duration": "<string>",
"aspect_ratio": "<string>",
"seed": 123
}
}
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>',
seed: 123
}
})
};
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 2.5
Kling Text2Video V2.5 — Text to Video
Generate videos from text prompts using Kling Text2Video V2.5
POST
/
v1
/
jobs
/
submit
Kling Text2Video V2.5 — 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>",
"seed": 123
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"quality": "<string>",
"duration": "<string>",
"aspect_ratio": "<string>",
"seed": 123
}
}
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>',
seed: 123
}
})
};
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 videos directly from a text description with Kling Text2Video V2.5. Choose between standard and pro quality, multiple aspect ratios, and 5 or 10 second durations.
| Property | Value |
|---|---|
| Provider | Kling |
| Model | Kling Text2Video V2.5 |
| Capability | Text to Video |
| Base Cost | 45,000 micro-cents/second ($0.045/sec) |
| Processing Time | ~180 seconds |
Request Body
string
required
Model slug. Use
kling/kling-text2video-v25/text-to-video.object
required
Input parameters for text-to-video generation.
Hide properties
Hide properties
string
required
Text description of the video to generate (max 2500 characters).
string
Generation quality. Default:
std. Options: std, pro.string
Video duration in seconds. Default:
5. Options: 5, 10.string
Video aspect ratio. Default:
16:9. Options: 16:9, 9:16, 1:1.integer
Optional random seed for reproducible results.
string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 45,000 micro-cents per second ($0.045/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 = 45,000 × 1 × 5 = 225,000 micro-cents ($0.225)
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-v25/text-to-video",
"input": {
"prompt": "A neon-lit Tokyo street at night with rain reflecting the signs",
"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-v25/text-to-video",
"input": {
"prompt": "A neon-lit Tokyo street at night with rain reflecting the signs",
"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-v25/text-to-video",
input: {
prompt: "A neon-lit Tokyo street at night with rain reflecting the signs",
quality: "std",
duration: "5",
aspect_ratio: "16:9"
}
})
});
const data = await response.json();
console.log(data);