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POST
/
v1
/
jobs
/
submit
Wan 2.7 — 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 model. Submitted as an asynchronous job and delivered via webhook or polling.
PropertyValue
ProviderAlibaba+
ModelWan 2.7
CapabilityText to Image
Base Cost30,000 micro-cents/image ($0.03/img)
Processing Time~30 seconds

​
Request Body

​
model
string
required
Model slug. Use alibaba-plus/wan-2.7/text-to-image for text to image generation.
​
input
object
required
Input parameters for text to image generation.
​
webhookUrl
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
FactorOptionMultiplier
Number of Images11x
22x
33x
44x
Default cost: 1 number of images = 30,000 × 1 = 30,000 micro-cents ($0.03)

​
Response

​
jobId
string
Unique identifier for the submitted job.
​
status
string
Initial job status. Always "pending" on successful submission.
​
estimatedCompletionTime
string
ISO 8601 timestamp of the estimated completion time.
​
costMicroCents
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/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/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/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);