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POST
/
v1
/
jobs
/
submit
Wan 2.6 Flash
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>",
    "duration": "<string>",
    "resolution": "<string>",
    "has_sound": "<string>"
  }
}
'
import requests

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

payload = {
    "model": "<string>",
    "input": {
        "prompt": "<string>",
        "image_url": "<string>",
        "aspect_ratio": "<string>",
        "duration": "<string>",
        "resolution": "<string>",
        "has_sound": "<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>',
      duration: '<string>',
      resolution: '<string>',
      has_sound: '<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 videos from images with Alibaba’s Wan 2.6 Flash model. Supports multiple resolutions, durations, and optional audio generation.
PropertyValue
ProviderAlibaba
ModelWan 2.6 Flash
CapabilityImage to Video
Base Cost50,000 micro-cents/second ($0.05/sec)
Processing Time~180 seconds

​
Request Body

​
model
string
required
Model slug. Use alibaba/wan-2.6-flash/image-to-video for image-to-video generation.
​
input
object
required
Input parameters for image-to-video generation.
​
webhookUrl
string
HTTPS URL to receive a webhook notification when the job completes or fails.

​
Pricing

Base cost: 50,000 micro-cents per second ($0.05/sec) 
finalCost = baseCost × duration × resolution × has_sound
FactorOptionMultiplier
Duration55x
1010x
1515x
Resolution720p1x
1080p1.5x
Soundfalse1x
true1.3x
Default cost: 5 seconds, 720p, no sound = 50,000 × 5 × 1 × 1 = 250,000 micro-cents ($0.25)

​
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/wan-2.6-flash/image-to-video",
    "input": {
      "prompt": "A golden retriever running through a sunlit meadow",
      "image_url": "https://example.com/dog.jpg",
      "aspect_ratio": "16:9",
      "duration": "5",
      "resolution": "720p",
      "has_sound": "true"
    }
  }'

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/wan-2.6-flash/image-to-video",
        "input": {
            "prompt": "A golden retriever running through a sunlit meadow",
            "image_url": "https://example.com/dog.jpg",
            "aspect_ratio": "16:9",
            "duration": "5",
            "resolution": "720p",
            "has_sound": "true"
        }
    }
)

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/wan-2.6-flash/image-to-video",
    input: {
      prompt: "A golden retriever running through a sunlit meadow",
      image_url: "https://example.com/dog.jpg",
      aspect_ratio: "16:9",
      duration: "5",
      resolution: "720p",
      has_sound: "true"
    }
  })
});

const data = await response.json();
console.log(data);