Veo 3.1 — Reference 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_urls": [
{}
],
"aspect_ratio": "<string>",
"resolution": "<string>",
"duration": "<string>",
"has_sound": "<string>",
"seed": 123
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"image_urls": [{}],
"aspect_ratio": "<string>",
"resolution": "<string>",
"duration": "<string>",
"has_sound": "<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>',
image_urls: [{}],
aspect_ratio: '<string>',
resolution: '<string>',
duration: '<string>',
has_sound: '<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
}Veo 3.1
Veo 3.1 — Reference to Video
Generate videos using reference images for style and character consistency with Google’s Veo 3.1 model
POST
/
v1
/
jobs
/
submit
Veo 3.1 — Reference 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_urls": [
{}
],
"aspect_ratio": "<string>",
"resolution": "<string>",
"duration": "<string>",
"has_sound": "<string>",
"seed": 123
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"image_urls": [{}],
"aspect_ratio": "<string>",
"resolution": "<string>",
"duration": "<string>",
"has_sound": "<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>',
image_urls: [{}],
aspect_ratio: '<string>',
resolution: '<string>',
duration: '<string>',
has_sound: '<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 videos using reference images for style and character consistency with Google’s Veo 3.1 model. Supports multiple resolutions, durations, and optional audio generation.
| Property | Value |
|---|---|
| Provider | |
| Model | Veo 3.1 |
| Capability | Reference to Video |
| Base Cost | 200,000 micro-cents/second ($0.20/sec) |
| Processing Time | ~240 seconds |
Request Body
string
required
Model slug. Use
google/veo-3.1/reference-to-video for reference-to-video generation.object
required
Input parameters for reference-to-video generation.
Hide properties
Hide properties
string
required
Text description of the video to generate (max 4000 characters).
array
required
Array of reference image URLs for style and character consistency.
string
Video aspect ratio. Default:
16:9. Options: 16:9, 9:16.string
Output resolution. Default:
720p. Options: 720p, 1080p, 4k.string
Video duration in seconds. Default:
8. Options: 4, 6, 8.string
Enable audio generation. Default:
false. Options: true, false.integer
Seed for reproducible results.
string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 200,000 micro-cents per second ($0.20/sec)finalCost = baseCost × duration × resolution × has_sound
| Factor | Option | Multiplier |
|---|---|---|
| Duration | 4 | 4x |
6 | 6x | |
8 | 8x | |
| Resolution | 720p | 1x |
1080p | 1x | |
4k | 1.5x | |
| Sound | false | 1x |
true | 1.5x |
Default cost: 8 seconds, 720p, no sound = 200,000 × 8 × 1 × 1 = 1,600,000 micro-cents ($1.60)
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": "google/veo-3.1/reference-to-video",
"input": {
"prompt": "The character walks through a futuristic city at night",
"image_urls": ["https://example.com/character-ref.jpg", "https://example.com/style-ref.jpg"],
"aspect_ratio": "16:9",
"resolution": "1080p",
"duration": "8",
"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": "google/veo-3.1/reference-to-video",
"input": {
"prompt": "The character walks through a futuristic city at night",
"image_urls": ["https://example.com/character-ref.jpg", "https://example.com/style-ref.jpg"],
"aspect_ratio": "16:9",
"resolution": "1080p",
"duration": "8",
"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: "google/veo-3.1/reference-to-video",
input: {
prompt: "The character walks through a futuristic city at night",
image_urls: ["https://example.com/character-ref.jpg", "https://example.com/style-ref.jpg"],
aspect_ratio: "16:9",
resolution: "1080p",
duration: "8",
has_sound: "false"
}
})
});
const data = await response.json();
console.log(data);
⌘I