Veo 3.1 — Start-End Frame to Video

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>",
    "start_frame_url": "<string>",
    "end_frame_url": "<string>",
    "aspect_ratio": "<string>",
    "duration": "<string>",
    "resolution": "<string>"
  }
}
'

import requests

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

payload = {
    "model": "<string>",
    "input": {
        "prompt": "<string>",
        "start_frame_url": "<string>",
        "end_frame_url": "<string>",
        "aspect_ratio": "<string>",
        "duration": "<string>",
        "resolution": "<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>',
      start_frame_url: '<string>',
      end_frame_url: '<string>',
      aspect_ratio: '<string>',
      duration: '<string>',
      resolution: '<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

Veo 3.1 — Start-End Frame to Video

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>",
    "start_frame_url": "<string>",
    "end_frame_url": "<string>",
    "aspect_ratio": "<string>",
    "duration": "<string>",
    "resolution": "<string>"
  }
}
'

import requests

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

payload = {
    "model": "<string>",
    "input": {
        "prompt": "<string>",
        "start_frame_url": "<string>",
        "end_frame_url": "<string>",
        "aspect_ratio": "<string>",
        "duration": "<string>",
        "resolution": "<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>',
      start_frame_url: '<string>',
      end_frame_url: '<string>',
      aspect_ratio: '<string>',
      duration: '<string>',
      resolution: '<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 smooth video transitions between two key frames with Google’s Veo 3.1 model. Provide a start frame, an end frame, and an optional text prompt to guide the in-between motion.

Property	Value
Provider	Google
Model	Veo 3.1
Capability	Start-End Frame to Video
Base Cost	200,000 micro-cents/second ($0.20/sec)
Processing Time	~120 seconds

Request Body

string

required

Model slug. Use google/veo-3.1/start-end-frame-to-video for start-end frame video generation.

object

required

Input parameters for start-end frame to video generation.

Hide properties

string

Optional text description guiding the motion between frames (max 4000 characters).

string

required

URL of the start frame image.

string

required

URL of the end frame image.

string

required

Video aspect ratio. Default: 16:9. Options: 16:9, 9:16.

string

Video duration in seconds. Default: 4. Options: 4, 6, 8. Affects pricing.

string

Output resolution. Default: 720p. Options: 720p, 1080p, 4k.

string

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

Pricing

Base cost: 200,000 micro-cents per second ($0.20/sec)

finalCost = baseCost × duration

Factor	Option	Multiplier
Duration	`4`	4x
	`6`	6x
	`8`	8x

Default cost: 4 seconds = 200,000 × 4 = 800,000 micro-cents ($0.80)

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": "google/veo-3.1/start-end-frame-to-video",
    "input": {
      "prompt": "A timelapse of clouds moving over mountains",
      "start_frame_url": "https://example.com/image.jpg",
      "end_frame_url": "https://example.com/image.jpg",
      "aspect_ratio": "16:9",
      "duration": "4",
      "resolution": "720p"
    }
  }'

import requests

response = requests.post(
    "https://api.muvi.video/v1/jobs/submit",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    json={
        "model": "google/veo-3.1/start-end-frame-to-video",
        "input": {
            "prompt": "A timelapse of clouds moving over mountains",
            "start_frame_url": "https://example.com/image.jpg",
            "end_frame_url": "https://example.com/image.jpg",
            "aspect_ratio": "16:9",
            "duration": "4",
            "resolution": "720p"
        }
    }
)

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: "google/veo-3.1/start-end-frame-to-video",
    input: {
      prompt: "A timelapse of clouds moving over mountains",
      start_frame_url: "https://example.com/image.jpg",
      end_frame_url: "https://example.com/image.jpg",
      aspect_ratio: "16:9",
      duration: "4",
      resolution: "720p"
    }
  })
});

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

Google

OpenAI

Runway

Kling

Kling Plus

Alibaba

Alibaba Plus

ByteDance

ByteDance Plus

MiniMax Plus

xAI

Veo 3.1 — Start-End Frame to Video

Request Body

Pricing

Response

Code Examples

​Request Body

​Pricing

​Response

​Code Examples

Request Body

Pricing

Response

Code Examples