Veo 3.1 Fast — 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>",
"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_url": "<string>",
"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_url: '<string>',
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 Fast
Veo 3.1 Fast — Image to Video
Animate images into videos using Google’s Veo 3.1 Fast model
POST
/
v1
/
jobs
/
submit
Veo 3.1 Fast — 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>",
"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_url": "<string>",
"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_url: '<string>',
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
}Animate existing images into dynamic videos with Google’s Veo 3.1 Fast model. Provide a source image and a text prompt to guide the animation.
| Property | Value |
|---|---|
| Provider | |
| Model | Veo 3.1 Fast |
| Capability | Image 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-fast/image-to-video for image-to-video generation.object
required
Input parameters for image-to-video generation.
Hide properties
Hide properties
string
required
Text description guiding the animation (max 4000 characters).
string
required
URL of the source image to animate.
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:
true. 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, with sound = 200,000 × 8 × 1 × 1.5 = 2,400,000 micro-cents ($2.40)
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-fast/image-to-video",
"input": {
"prompt": "The person in the image starts dancing gracefully",
"image_url": "https://example.com/my-image.png",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": "6",
"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": "google/veo-3.1-fast/image-to-video",
"input": {
"prompt": "The person in the image starts dancing gracefully",
"image_url": "https://example.com/my-image.png",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": "6",
"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: "google/veo-3.1-fast/image-to-video",
input: {
prompt: "The person in the image starts dancing gracefully",
image_url: "https://example.com/my-image.png",
aspect_ratio: "16:9",
resolution: "720p",
duration: "6",
has_sound: "true"
}
})
});
const data = await response.json();
console.log(data);