# Vidu Vidu Q3 Turbo — Image To Video

> Unlock high-fidelity motion with the Vidu Q3 Turbo API image to video capabilities on GPT Proto. Transform static assets into dynamic visual experiences.

## Overview

- **Endpoint**: `POST https://gptproto.com/api/v3/vidu/viduq3-turbo/image-to-video`
- **Result URL**: `GET https://gptproto.com/api/v3/predictions/{result_id}/result` — the submit response also returns the authoritative URL in `data.urls.get`
- **Model ID**: `viduq3-turbo`
- **Vendor**: Vidu
- **Scene**: `image-to-video`
- **Category**: image-to-video
- **Modalities**: input image → output video
- **Playground**: https://gptproto.com/model/vidu/viduq3-turbo/image-to-video
- **Other scenes of this model**: `text-to-video`, `start-end-frame` — same auth, different endpoint path and input schema

## Authentication

Every request needs a GPTProto API key in the `Authorization` header. Create one at https://gptproto.com/dashboard/api-key, then export it:

```bash
export GPTPROTO_API_KEY="your-api-key"
```

Header: `Authorization: Bearer $GPTPROTO_API_KEY` (plus `Content-Type: application/json` on POST).

## Pricing

Platform price by tier (USD, already includes the GPTProto discount):

- **1080p** — $0.056 per second
- **540p** — $0.032 per second
- **720p** — $0.048 per second

Price range: $0.032 – $0.896 per generation.

Prices may change. The model page always shows the live price: https://gptproto.com/model/vidu/viduq3-turbo/image-to-video

## API Information

The API is asynchronous: POST the endpoint to create a prediction, then poll its result URL until `status` is `completed` or `failed`.

### Input Schema

The endpoint accepts the following JSON body parameters:

- **`prompt`** (`string`, _required_):

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

- **`duration`** (`range`, _optional_):
  - Default: `5`
  - Range: 1–16

- **`resolution`** (`enum`, _optional_):
  - Default: `720p`
  - Options: 540p, 720p, 1080p

- **`bgm`** (`enum`, _optional_):
  - Default: `true`
  - Options: true, false

- **`movement_amplitude`** (`enum`, _optional_):
  - Default: `auto`
  - Options: auto, small, medium, large

- **`audio`** (`enum`, _optional_):
  Whether to generate audio.
  - Default: `true`
  - Options: true, false

- **`seed`** (`range`, _optional_):
  - Default: `1`
  - Range: 1–2147483647

**Required Parameters Example**:

```json
{
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "image": "https://tos.gptproto.com/resource/cat.png"
}
```

**Full Example**:

```json
{
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "image": "https://tos.gptproto.com/resource/cat.png",
  "duration": 5,
  "resolution": "720p",
  "bgm": true,
  "movement_amplitude": "auto",
  "audio": true,
  "seed": 1
}
```

### Output Schema

Both submit and poll return the same envelope:

- **`data.id`** (`string`): Prediction id. Use it as `result_id` when polling for the result.
- **`data.status`** (`string`): One of `created`, `running`, `completed`, `failed`. See Status Values below.
- **`data.outputs`** (`array of string`): Generated files. Empty until `status` is `completed`; then it holds the output URLs (or base64 strings when the model exposes a base64 option).
- **`data.urls.get`** (`string`): Authoritative result URL for this prediction. Prefer it over building the poll URL yourself.
- **`data.error`** (`string | null`): Failure reason when `status` is `failed`, otherwise `null`.
- **`data.executionTime`** (`integer`): Total processing time in milliseconds.
- **`data.timings.inference`** (`integer`): Model inference time in milliseconds.
- **`data.hasNsfwContents`** (`array of boolean`): Per-output moderation flags.
- **`message`** (`string`): `success` on a normal response, otherwise the error message.
- **`code`** (`integer`): Business status code. `200` means the request was accepted.

**Example Response — submit (task accepted)**:

```json
{
  "data": {
    "id": "pred_example_01",
    "model": "viduq3-turbo",
    "outputs": [],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/pred_example_01/result"
    },
    "hasNsfwContents": [],
    "status": "created",
    "createdAt": "2026-01-01T12:00:00Z",
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  },
  "message": "success",
  "code": 200
}
```

**Example Response — poll (completed)**:

```json
{
  "data": {
    "id": "pred_example_01",
    "model": "viduq3-turbo",
    "outputs": [
      "https://oss-us.gptproto.com/example/output.mp4"
    ],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/pred_example_01/result"
    },
    "status": "completed",
    "error": null,
    "executionTime": 12345,
    "timings": {
      "inference": 12000
    },
    "has_nsfw_contents": [],
    "created_at": "2026-01-01T12:00:00Z"
  },
  "message": "success",
  "code": 200
}
```

### Status Values

- `created` — Task accepted. Use `data.id` as `result_id` for polling.
- `running` — Generation is in progress. Keep polling.
- `completed` — Finished successfully. Generated files are in `data.outputs`.
- `failed` — Generation failed. Read `data.error` for the reason.

## Usage Examples

### 1. Submit a request

```bash
curl --request POST "https://gptproto.com/api/v3/vidu/viduq3-turbo/image-to-video" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
    "image": "https://tos.gptproto.com/resource/cat.png",
    "duration": 5,
    "resolution": "720p",
    "bgm": true,
    "movement_amplitude": "auto",
    "audio": true,
    "seed": 1
  }'
```

```python
import os
import requests

url = "https://gptproto.com/api/v3/vidu/viduq3-turbo/image-to-video"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}",
  "Content-Type": "application/json"
}
payload = {
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "image": "https://tos.gptproto.com/resource/cat.png",
  "duration": 5,
  "resolution": "720p",
  "bgm": True,
  "movement_amplitude": "auto",
  "audio": True,
  "seed": 1
}

response = requests.request("POST", url, headers=headers, json=payload)
print(response.json())
```

```typescript
const response = await fetch("https://gptproto.com/api/v3/vidu/viduq3-turbo/image-to-video", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    prompt: "A tiny origami fox sailing a teacup across a moonlit puddle",
    image: "https://tos.gptproto.com/resource/cat.png",
    duration: 5,
    resolution: "720p",
    bgm: true,
    movement_amplitude: "auto",
    audio: true,
    seed: 1,
  }),
});

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

### 2. Poll until the task finishes

Replace `YOUR_RESULT_ID` with `data.id` from the submit response (or call `data.urls.get` directly), and keep polling every 1–3 seconds while `status` is `created` or `running`.

```bash
result_id="YOUR_RESULT_ID"

curl --request GET "https://gptproto.com/api/v3/predictions/$result_id/result" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY"
```

```python
import os
import requests

result_id = "YOUR_RESULT_ID"
url = f"https://gptproto.com/api/v3/predictions/{result_id}/result"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}"
}
response = requests.request("GET", url, headers=headers)
print(response.json())
```

```typescript
const result_id = "YOUR_RESULT_ID";
const response = await fetch(`https://gptproto.com/api/v3/predictions/${result_id}/result`, {
  method: "GET",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
  },
});

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

## Example Prompts

- Photorealistic cinematic shot of a rider on a powerful, muscular horse galloping through an open, sunlit field. The rider, dressed in rugged equestrian gear, suddenly exhales sharply — “吁~” — as they firmly grip the reins and bring the horse to an abrupt, natural stop. The horse’…
- The soldier moves from a static position, raising his rifle into a ready-to-fire stance, and begins to advance slowly and cautiously through the rubble. The smoke in the background thickens, and wind blows, kicking up dust from the ground. Handheld camera style with slight shake,…
- The white robot with glowing blue eyes plummets downward from the sky at high speed, wind rushing past its sleek body. It stretches one arm forward like a superhero dive. As it approaches a futuristic cityscape below, thrusters ignite from its feet emitting bright blue plasma fla…

## HTTP Status Codes

- `400` — malformed body, a parameter or value this model does not accept, or input blocked by the provider's content moderation
- `401` — missing or invalid API key
- `403` — insufficient credits
- `413` — request body too large
- `429` — rate limited; retry with backoff
- `500` — An internal server error occurred
- `502` — An internal server error occurred
- `504` — Gateway timeout — upstream service did not respond in time; retry later

## Additional Resources

- [Model playground](https://gptproto.com/model/vidu/viduq3-turbo/image-to-video)
- [All models](https://gptproto.com/model)
- [API keys](https://gptproto.com/dashboard/api-key)
- [Platform overview for LLMs](https://gptproto.com/llm-full.txt)
- Any other model: `https://gptproto.com/model/{vendor}/{model}/{scene}/llms.txt`