Gen 4.5 — 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": {
"image_url": "<string>",
"prompt": "<string>",
"aspect_ratio": "<string>",
"duration": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"image_url": "<string>",
"prompt": "<string>",
"aspect_ratio": "<string>",
"duration": "<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: {
image_url: '<string>',
prompt: '<string>',
aspect_ratio: '<string>',
duration: '<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
}Gen 4.5
Gen 4.5 — Image to Video
Generate videos from images using Runway’s Gen 4.5 model
POST
/
v1
/
jobs
/
submit
Gen 4.5 — 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": {
"image_url": "<string>",
"prompt": "<string>",
"aspect_ratio": "<string>",
"duration": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"image_url": "<string>",
"prompt": "<string>",
"aspect_ratio": "<string>",
"duration": "<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: {
image_url: '<string>',
prompt: '<string>',
aspect_ratio: '<string>',
duration: '<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 a source image and text prompt with Runway’s Gen 4.5 model. Supports flexible duration options up to 10 seconds and multiple aspect ratios.
| Property | Value |
|---|---|
| Provider | Runway |
| Model | Gen 4.5 |
| Capability | Image to Video |
| Base Cost | 120,000 micro-cents/second ($0.12/sec) |
| Processing Time | ~180 seconds |
Request Body
string
required
Model slug. Use
runway/gen-4.5/image-to-video for image-to-video generation.object
required
Input parameters for image-to-video generation.
Hide properties
Hide properties
string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 120,000 micro-cents per second ($0.12/sec)finalCost = baseCost × duration
| Factor | Option | Multiplier |
|---|---|---|
| Duration | 2 | 2x |
3 | 3x | |
4 | 4x | |
5 | 5x | |
6 | 6x | |
7 | 7x | |
8 | 8x | |
9 | 9x | |
10 | 10x |
Default cost: 5 seconds = 120,000 × 5 = 600,000 micro-cents ($0.60)
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": "runway/gen-4.5/image-to-video",
"input": {
"image_url": "https://example.com/beach.jpg",
"prompt": "The waves crash gently as the camera slowly pans across the shoreline",
"aspect_ratio": "16:9",
"duration": "5"
}
}'
import requests
response = requests.post(
"https://api.muvi.video/v1/jobs/submit",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
json={
"model": "runway/gen-4.5/image-to-video",
"input": {
"image_url": "https://example.com/beach.jpg",
"prompt": "The waves crash gently as the camera slowly pans across the shoreline",
"aspect_ratio": "16:9",
"duration": "5"
}
}
)
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: "runway/gen-4.5/image-to-video",
input: {
image_url: "https://example.com/beach.jpg",
prompt: "The waves crash gently as the camera slowly pans across the shoreline",
aspect_ratio: "16:9",
duration: "5"
}
})
});
const data = await response.json();
console.log(data);