# google/veo-3.1/first-last-frame-to-video

> Videos can be produced from a first and last frame with the assistance of Google's Veo 3.1.

## Overview

- **Endpoint**: `https://api.shortapi.ai/api/v1/job/create`
- **Model ID**: `google/veo-3.1/first-last-frame-to-video`
- **Category**: image-to-video
- **Kind**: inference

## Pricing

The pricing for this model is structured as follows: in Quality mode, the rate for 720p and 1080p is $0.16/sec without audio and $0.32/sec with audio, while 4K is priced at $0.32/sec without audio and $0.48/sec with audio; meanwhile, in Fast mode, the rate for 720p and 1080p is $0.08/sec without audio and $0.12/sec with audio, whereas 4K costs $0.24/sec without audio and $0.28/sec with audio.

For more details, please check our pricing page.

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.

### Input Schema

The API accepts the following input parameters:

- **`mode`** (`string`, _required_):
  Video generation mode
  - Default: `fast`
  - Options: "quality", "fast"

- **`prompt`** (`string`, _required_):
  Positive text prompt
  - Examples: "An action shot of a black lab swimming..."

- **`image`** (`string`, _required_):
  Reference Image

- **`image_tail`** (`string`, _required_):
  Reference Image - End frame control

- **`duration`** (`string`, _optional_):
  Video Length, unit: s (seconds)
  - Default: `8`
  - Options: "4", "6", "8"

- **`aspect_ratio`** (`string`, _optional_):
  The aspect ratio of the generated video frame (width:height)
  - Default: `16:9`
  - Options: "auto", "16:9", "9:16"

- **`resolution`** (`string`, _optional_):
  Output video resolution
  - Default: `720p`
  - Options: "720p", "1080p", "4k"

- **`generate_audio`** (`bool`, _optional_):
  Whether to generate original audio for the video
  - Default: `false`
  - Options: "true", "false"

### Output Schema

The API returns a JSON response with a `job_id` for tracking the request status.

**Create Job Response:**
```json
{
  "code": 0,
  "data": {
    "amount": "0.02",
    "job_id": "<JOB_ID>"
  }
}
```

**Query Job Result (when status is 2, meaning succeeded):**
```json
{
  "code": 0,
  "data": {
    "status": 2,
    "result": {
      "images": [{ "url": "https://..." }]
    }
  }
}
```

## Use Example

To use this model, make an HTTP POST request to the API endpoint, then poll for results using the returned `job_id`.

### Bash (cURL)
```bash
# Step 1: Create a job
response=$(curl --request POST \
  --url https://api.shortapi.ai/api/v1/job/create \
  --header "Authorization: Bearer $SHORTAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "google/veo-3.1/first-last-frame-to-video",
  "args": {
    "mode": "quality",
    "prompt": "Time-lapse of a room renovation in 4K, 8-16x speed. Workers clear clutter, remove furniture, clean and prep bare concrete walls, paint in a modern, luxurious style, complete structural work, and bring in furniture, transforming the space into a stylish living room. Tools and materials appear and vanish rapidly, dust settles, natural light shifts, and lighting transitions from cool blue to warm ambient. Documentary style, fast-forwarded footage shows multiple workers moving quickly.",
    "image": "https://file.shortapi.ai/assets/examples/google/veo-3.1/first-last-frame-to-video-image.webp",
    "image_tail": "https://file.shortapi.ai/assets/examples/google/veo-3.1/first-last-frame-to-video-image_tail.webp"
  },
  "callback_url": "CALLBACK_URL"
}')
JOB_ID=$(echo "$response" | grep -o '"job_id": *"[^"]*"' | sed 's/"job_id": *//; s/"//g')

# Step 2: Poll for results
curl --request GET \
  --url "https://api.shortapi.ai/api/v1/job/query?id=$JOB_ID" \
  --header "Authorization: Bearer $SHORTAPI_KEY"
```

### JavaScript (Fetch API)
```javascript
// Step 1: Create a job
const response = await fetch(`https://api.shortapi.ai/api/v1/job/create`, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${SHORTAPI_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "google/veo-3.1/first-last-frame-to-video",
    "args": {
      "mode": "quality",
      "prompt": "Time-lapse of a room renovation in 4K, 8-16x speed. Workers clear clutter, remove furniture, clean and prep bare concrete walls, paint in a modern, luxurious style, complete structural work, and bring in furniture, transforming the space into a stylish living room. Tools and materials appear and vanish rapidly, dust settles, natural light shifts, and lighting transitions from cool blue to warm ambient. Documentary style, fast-forwarded footage shows multiple workers moving quickly.",
      "image": "https://file.shortapi.ai/assets/examples/google/veo-3.1/first-last-frame-to-video-image.webp",
      "image_tail": "https://file.shortapi.ai/assets/examples/google/veo-3.1/first-last-frame-to-video-image_tail.webp"
    },
    "callback_url": "CALLBACK_URL"
})
});
const data = await response.json();
const JOB_ID = data.job_id;

// Step 2: Poll for results
const result = await fetch(`https://api.shortapi.ai/api/v1/job/query?id=${JOB_ID}`, {
  method: "GET",
  headers: {
    "Authorization": `Bearer ${SHORTAPI_KEY}`
  }
});
const resultData = await result.json();
console.log(resultData);
```

### Python (Requests)
```python
import requests

# Step 1: Create a job
url = "https://api.shortapi.ai/api/v1/job/create"
payload = {
  "model": "google/veo-3.1/first-last-frame-to-video",
  "args": {
    "mode": "quality",
    "prompt": "Time-lapse of a room renovation in 4K, 8-16x speed. Workers clear clutter, remove furniture, clean and prep bare concrete walls, paint in a modern, luxurious style, complete structural work, and bring in furniture, transforming the space into a stylish living room. Tools and materials appear and vanish rapidly, dust settles, natural light shifts, and lighting transitions from cool blue to warm ambient. Documentary style, fast-forwarded footage shows multiple workers moving quickly.",
    "image": "https://file.shortapi.ai/assets/examples/google/veo-3.1/first-last-frame-to-video-image.webp",
    "image_tail": "https://file.shortapi.ai/assets/examples/google/veo-3.1/first-last-frame-to-video-image_tail.webp"
  },
  "callback_url": "CALLBACK_URL"
}
headers = {
    "Authorization": f"Bearer {SHORTAPI_KEY}",
    "Content-Type": "application/json"
}

response = requests.post(url, headers=headers, json=payload)
data = response.json()
JOB_ID = data.get("job_id")

# Step 2: Poll for results
result_url = f"https://api.shortapi.ai/api/v1/job/query?id={JOB_ID}"
result = requests.get(result_url, headers={"Authorization": f"Bearer {SHORTAPI_KEY}"})
print(result.json())
```