GPT Image 1.5 — Edit Image
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>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"image_url": "<string>",
"aspect_ratio": "<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>', image_url: '<string>', aspect_ratio: '<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
}GPT Image 1.5
GPT Image 1.5 — Edit Image
Edit and transform images using OpenAI’s GPT Image 1.5 model
POST
/
v1
/
jobs
/
submit
GPT Image 1.5 — Edit Image
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>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"image_url": "<string>",
"aspect_ratio": "<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>', image_url: '<string>', aspect_ratio: '<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
}Edit and transform existing images using OpenAI’s GPT Image 1.5 model. Provide a reference image along with a text prompt to guide the editing process.
| Property | Value |
|---|---|
| Provider | OpenAI |
| Model | GPT Image 1.5 |
| Capability | Edit Image |
| Category | Image to Image |
| Base Cost | 34,000 micro-cents/request ($0.034) |
| Processing Time | ~30 seconds |
Request Body
string
required
Model slug. Use
openai/gpt-image-1.5/edit-image for image editing.object
required
string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 34,000 micro-cents per request ($0.034)Fixed cost: 34,000 micro-cents ($0.034) per request. No dynamic pricing factors.
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/gpt-image-1.5/edit-image",
"input": {
"prompt": "Edit an image by replacing the background",
"image_url": "https://example.com/your-image.jpg",
"aspect_ratio": "3:2"
}
}'
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/gpt-image-1.5/edit-image",
"input": {
"prompt": "Edit an image by replacing the background",
"image_url": "https://example.com/your-image.jpg",
"aspect_ratio": "3:2"
}
}
)
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/gpt-image-1.5/edit-image",
input: {
prompt: "Edit an image by replacing the background",
image_url: "https://example.com/your-image.jpg",
aspect_ratio: "3:2"
}
})
});
const data = await response.json();
console.log(data);