Wan 2.7 Pro — Text to 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>",
    "size": "<string>",
    "num_images": "<string>",
    "thinking_mode": true
  }
}
'

import requests

url = "https://api.muvi.video/v1/jobs/submit"

payload = {
    "model": "<string>",
    "input": {
        "prompt": "<string>",
        "size": "<string>",
        "num_images": "<string>",
        "thinking_mode": True
    }
}
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>',
      size: '<string>',
      num_images: '<string>',
      thinking_mode: true
    }
  })
};

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 Pro — Text to 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>",
    "size": "<string>",
    "num_images": "<string>",
    "thinking_mode": true
  }
}
'

import requests

url = "https://api.muvi.video/v1/jobs/submit"

payload = {
    "model": "<string>",
    "input": {
        "prompt": "<string>",
        "size": "<string>",
        "num_images": "<string>",
        "thinking_mode": True
    }
}
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>',
      size: '<string>',
      num_images: '<string>',
      thinking_mode: true
    }
  })
};

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 text to image outputs with Alibaba+‘s Wan 2.7 Pro model. Submitted as an asynchronous job and delivered via webhook or polling.

Property	Value
Provider	Alibaba+
Model	Wan 2.7 Pro
Capability	Text to Image
Base Cost	45,000 micro-cents/image ($0.045/img)
Processing Time	~30 seconds

Request Body

string

required

Model slug. Use alibaba-plus/wan-2.7-pro/text-to-image for text to image generation.

object

required

Input parameters for text to image generation.

Hide properties

string

required

Text description of the image to generate (max 5000 characters).

string

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

string

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

boolean

Enhanced inference for better quality. Default: true.

string

HTTPS URL to receive a webhook notification when the job completes or fails.

Pricing

Base cost: 45,000 micro-cents per image ($0.045/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 = 45,000 × 1 = 45,000 micro-cents ($0.045)

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-pro/text-to-image",
    "input": {
      "prompt": "A photorealistic portrait of a fox in a forest at golden hour",
      "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-pro/text-to-image",
        "input": {
            "prompt": "A photorealistic portrait of a fox in a forest at golden hour",
            "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-pro/text-to-image",
    input: {
      prompt: "A photorealistic portrait of a fox in a forest at golden hour",
      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 Pro — Text to Image

Request Body

Pricing

Response

Code Examples

​Request Body

​Pricing

​Response

​Code Examples

Request Body

Pricing

Response

Code Examples