Kling 3.0 Standard — 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>",
"has_sound": "<string>",
"cfg_scale": 123,
"negative_prompt": "<string>",
"shot_type": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"aspect_ratio": "<string>",
"duration": "<string>",
"has_sound": "<string>",
"cfg_scale": 123,
"negative_prompt": "<string>",
"shot_type": "<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>',
has_sound: '<string>',
cfg_scale: 123,
negative_prompt: '<string>',
shot_type: '<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 3.0 Standard
Kling 3.0 Standard — Text to Video
Generate text to video using Kling 3.0 Standard via PixelByte API
POST
/
v1
/
jobs
/
submit
Kling 3.0 Standard — 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>",
"has_sound": "<string>",
"cfg_scale": 123,
"negative_prompt": "<string>",
"shot_type": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"aspect_ratio": "<string>",
"duration": "<string>",
"has_sound": "<string>",
"cfg_scale": 123,
"negative_prompt": "<string>",
"shot_type": "<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>',
has_sound: '<string>',
cfg_scale: 123,
negative_prompt: '<string>',
shot_type: '<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 high-quality videos from text descriptions with Kling 3.0 Standard. Supports multiple aspect ratios, durations, and prompt-guidance controls.
| Property | Value |
|---|---|
| Provider | Kling Plus |
| Model | Kling 3.0 Standard |
| Capability | Text to Video |
| Base Cost | 84,000 micro-cents/second ($0.084/second) |
| Processing Time | ~240 seconds |
Request Body
string
required
Model slug. Use
kling-plus/kling-3.0-standard/text-to-video for text to video generation.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
Video aspect ratio. Options:
16:9, 9:16, 1:1. Default: 16:9.string
Video duration in seconds. Options:
3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15. Default: 5.string
Enable audio generation. Options:
false, true. Default: true.number
Prompt adherence strength. min 0, max 1. Default:
0.5.string
Negative prompt. max 1000 characters.
string
Camera shot composition mode. Options:
customize, intelligent. Default: customize.string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 84,000 micro-cents per second ($0.084/second)finalCost = baseCost × has_sound × duration
| Factor | Option | Multiplier |
|---|---|---|
| Has Sound | true | 1.5x |
false | 1x | |
| Duration | 3 | 3x |
4 | 4x | |
5 | 5x | |
6 | 6x | |
7 | 7x | |
8 | 8x | |
9 | 9x | |
10 | 10x | |
11 | 11x | |
12 | 12x | |
13 | 13x | |
14 | 14x | |
15 | 15x |
Default cost (has_sound=
true, duration=5): 84,000 × 1.5 × 5 = 630,000 micro-cents ($0.63)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-3.0-standard/text-to-video",
"input": {
"prompt": "A golden retriever running through a sunlit meadow during sunrise, cinematic camera motion.",
"aspect_ratio": "16:9",
"duration": "5",
"has_sound": "true"
}
}'
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-3.0-standard/text-to-video",
"input": {
"prompt": "A golden retriever running through a sunlit meadow during sunrise, cinematic camera motion.",
"aspect_ratio": "16:9",
"duration": "5",
"has_sound": "true"
}
}
)
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-3.0-standard/text-to-video",
input: {
prompt: "A golden retriever running through a sunlit meadow during sunrise, cinematic camera motion.",
aspect_ratio: "16:9",
duration: "5",
has_sound: "true"
}
})
});
const data = await response.json();
console.log(data);
⌘I