Wan 2.7 — Image to Image / Edit
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_urls": [
{}
],
"size": "<string>",
"num_images": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"image_urls": [{}],
"size": "<string>",
"num_images": "<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_urls: [{}], size: '<string>', num_images: '<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
}Wan 2.7
Wan 2.7 — Image to Image / Edit
Generate image to image / edit outputs using Alibaba+‘s Wan 2.7 model via PixelByte API
POST
/
v1
/
jobs
/
submit
Wan 2.7 — Image to Image / Edit
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_urls": [
{}
],
"size": "<string>",
"num_images": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"image_urls": [{}],
"size": "<string>",
"num_images": "<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_urls: [{}], size: '<string>', num_images: '<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 image to image / edit outputs with Alibaba+‘s Wan 2.7 model. Submitted as an asynchronous job and delivered via webhook or polling.
| Property | Value |
|---|---|
| Provider | Alibaba+ |
| Model | Wan 2.7 |
| Capability | Image to Image / Edit |
| Base Cost | 30,000 micro-cents/image ($0.03/img) |
| Processing Time | ~30 seconds |
Request Body
string
required
Model slug. Use
alibaba-plus/wan-2.7/image-to-image for image to image / edit generation.object
required
string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 30,000 micro-cents per image ($0.03/img)finalCost = baseCost × num_images
| Factor | Option | Multiplier |
|---|---|---|
| Number of Images | 1 | 1x |
2 | 2x | |
3 | 3x | |
4 | 4x |
Default cost: 1 number of images = 30,000 × 1 = 30,000 micro-cents ($0.03)
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": "alibaba-plus/wan-2.7/image-to-image",
"input": {
"image_urls": ["https://example.com/image.jpg"],
"prompt": "Make the sky a vivid sunset with warm orange tones",
"size": "2K",
"num_images": "1"
}
}'
import requests
response = requests.post(
"https://api.muvi.video/v1/jobs/submit",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
json={
"model": "alibaba-plus/wan-2.7/image-to-image",
"input": {
"image_urls": ["https://example.com/image.jpg"],
"prompt": "Make the sky a vivid sunset with warm orange tones",
"size": "2K",
"num_images": "1"
}
}
)
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: "alibaba-plus/wan-2.7/image-to-image",
input: {
image_urls: ["https://example.com/image.jpg"],
prompt: "Make the sky a vivid sunset with warm orange tones",
size: "2K",
num_images: "1"
}
})
});
const data = await response.json();
console.log(data);