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
}

POST

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

Input parameters for image to image / edit generation.

Hide properties

string

required

Edit instruction. max 5000 characters.

array

required

Input images (max 4).

string

Output image size. Default: "2K". Options: 1K, 2K.

string

Number of images to generate. Default: "1". Options: 1, 2, 3, 4.

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);

Google

OpenAI

Seedance

Runway

Alibaba Plus

ByteDance Plus

PixelByte Plus

Wan 2.7 — Image to Image / Edit

Request Body

Pricing

Response

Code Examples

​Request Body

​Pricing

​Response

​Code Examples

Request Body

Pricing

Response

Code Examples