Sora 2 — 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
}Sora 2
Sora 2 — Text to Video
Generate videos from text prompts using OpenAI’s Sora 2 model
POST
/
v1
/
jobs
/
submit
Sora 2 — 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 videos from text descriptions with OpenAI’s Sora 2 model. Supports multiple duration options and aspect ratios.
| Property | Value |
|---|---|
| Provider | OpenAI |
| Model | Sora 2 |
| Capability | Text to Video |
| Base Cost | 100,000 micro-cents/second ($0.10/sec) |
| Processing Time | ~180 seconds |
Request Body
string
required
Model slug. Use
openai/sora-2/text-to-video for text-to-video generation.object
required
string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 100,000 micro-cents per second ($0.10/sec)finalCost = baseCost × duration
| Factor | Option | Multiplier |
|---|---|---|
| Duration | 4 | 4x |
8 | 8x | |
12 | 12x |
Default cost: 4 seconds = 100,000 × 4 = 400,000 micro-cents ($0.40)
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": "openai/sora-2/text-to-video",
"input": {
"prompt": "A timelapse of a flower blooming in a garden",
"aspect_ratio": "16:9",
"duration": "8"
}
}'
import requests
response = requests.post(
"https://api.muvi.video/v1/jobs/submit",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
json={
"model": "openai/sora-2/text-to-video",
"input": {
"prompt": "A timelapse of a flower blooming in a garden",
"aspect_ratio": "16:9",
"duration": "8"
}
}
)
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: "openai/sora-2/text-to-video",
input: {
prompt: "A timelapse of a flower blooming in a garden",
aspect_ratio: "16:9",
duration: "8"
}
})
});
const data = await response.json();
console.log(data);