Gen 4.5 — 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>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"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: {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 — Text to Video
Generate videos from text prompts using Runway’s Gen 4.5 model
POST
/
v1
/
jobs
/
submit
Gen 4.5 — 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>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"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: {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 text descriptions 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 | Text 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/text-to-video for text-to-video generation.object
required
Input parameters for text-to-video generation.
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/text-to-video",
"input": {
"prompt": "A drone shot flying over a tropical beach at sunset with waves crashing on the shore",
"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/text-to-video",
"input": {
"prompt": "A drone shot flying over a tropical beach at sunset with waves crashing on the shore",
"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/text-to-video",
input: {
prompt: "A drone shot flying over a tropical beach at sunset with waves crashing on the shore",
aspect_ratio: "16:9",
duration: "5"
}
})
});
const data = await response.json();
console.log(data);