Kling O3 Pro — Image 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>",
"image_url": "<string>",
"shot_type": "<string>",
"duration": "<string>",
"elements": [
{}
],
"has_sound": "<string>",
"multishot": [
{}
]
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"image_url": "<string>",
"shot_type": "<string>",
"duration": "<string>",
"elements": [{}],
"has_sound": "<string>",
"multishot": [{}]
}
}
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>',
image_url: '<string>',
shot_type: '<string>',
duration: '<string>',
elements: [{}],
has_sound: '<string>',
multishot: [{}]
}
})
};
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 O3 Pro
Kling O3 Pro — Image to Video
Generate videos with the Kling O3 Pro model using image to video.
POST
/
v1
/
jobs
/
submit
Kling O3 Pro — Image 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>",
"image_url": "<string>",
"shot_type": "<string>",
"duration": "<string>",
"elements": [
{}
],
"has_sound": "<string>",
"multishot": [
{}
]
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"image_url": "<string>",
"shot_type": "<string>",
"duration": "<string>",
"elements": [{}],
"has_sound": "<string>",
"multishot": [{}]
}
}
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>',
image_url: '<string>',
shot_type: '<string>',
duration: '<string>',
elements: [{}],
has_sound: '<string>',
multishot: [{}]
}
})
};
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
}Animate a still image into a high-quality video with the Kling O3 Pro model. Provide an
image_url and an optional prompt to guide motion.
| Property | Value |
|---|---|
| Provider | Kling Plus |
| Model | Kling O3 Pro |
| Capability | Image to Video |
| Base Cost | 112,000 micro-cents/second ($0.112/sec) |
| Processing Time | ~240 seconds |
Request Body
string
required
Model slug. Use
kling-plus/kling-o3-pro/image-to-video for image to video generation.object
required
Input parameters for image to video generation.
Hide properties
Hide properties
string
Text prompt describing the desired output (max 2500 characters).
string
required
URL of the input image.
string
Shot composition mode. Default:
customize. Options: customize, intelligent.string
Video duration in seconds. Default:
5. Options: 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15.array
Reference characters or objects for visual consistency. Each element bundles 1-4 reference images and an optional voice clip.
string
Enable audio generation. Default:
false. Options: false, true.array
Multi-shot scene list. Each shot has a
prompt and optional duration (seconds, 1-15). Total durations should sum within the model’s allowed range.string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 112,000 micro-cents per second ($0.112/sec)finalCost = baseCost × duration × has_sound
| Factor | Option | Multiplier |
|---|---|---|
| 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 | |
| Sound | false | 1x |
true | 1.5x |
Default cost: 5 seconds, no sound = 112,000 × 5 × 1 = 560,000 micro-cents ($0.560)
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-o3-pro/image-to-video",
"input": {
"prompt": "The astronaut slowly turns toward the camera as cosmic dust drifts past",
"image_url": "https://example.com/image.jpg",
"duration": "5",
"has_sound": "false"
}
}'
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-o3-pro/image-to-video",
"input": {
"prompt": "The astronaut slowly turns toward the camera as cosmic dust drifts past",
"image_url": "https://example.com/image.jpg",
"duration": "5",
"has_sound": "false"
}
}
)
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-o3-pro/image-to-video",
input: {
prompt: "The astronaut slowly turns toward the camera as cosmic dust drifts past",
image_url: "https://example.com/image.jpg",
duration: "5",
has_sound: "false"
}
})
});
const data = await response.json();
console.log(data);
⌘I