# Vidu Vidu Q4 Preview — Image To Video

> Use the Vidu Q4 API on GPTProto at affordable rates. Explore 3–16s image and reference videos, up to 4K with audio, using one shared balance.

## Overview

- **Endpoint**: `POST https://gptproto.com/api/v3/vidu/viduq4-preview/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**: `viduq4-preview`
- **Vendor**: Vidu
- **Scene**: `image-to-video`
- **Category**: image-to-video
- **Modalities**: input image → output video
- **Playground**: https://gptproto.com/model/vidu/viduq4-preview
- **Other scenes of this model**: `reference-to-video` — 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** — $0.096 per second
- **2K** — $0.152 per second
- **4K** — $0.312 per second
- **540p** — $0.036 per second
- **720p** — $0.076 per second

Price range: $0.108 – $4.99 per generation.

Prices may change. The model page always shows the live price: https://gptproto.com/model/vidu/viduq4-preview

## 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: 3–15

- **`resolution`** (`enum`, _optional_):
  - Default: `720p`
  - Options: 540p, 720p, 1080p, 2k, 4k

- **`audio`** (`boolean`, _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": ""
}
```

**Full Example**:

```json
{
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "image": "",
  "duration": 5,
  "resolution": "720p",
  "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": "viduq4-preview",
        "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": "viduq4-preview",
        "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/viduq4-preview/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": "",
        "duration": 5,
        "resolution": "720p",
        "audio": true,
        "seed": 1
    }'
```

```python
import os
import requests

url = "https://gptproto.com/api/v3/vidu/viduq4-preview/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": "",
    "duration": 5,
    "resolution": "720p",
    "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/viduq4-preview/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: "",
        duration: 5,
        resolution: "720p",
        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

- Ultra-realistic, cinematic live-action style. Set at a luxurious indoor night party in a mansion, with warm yellow lighting, wooden door frames, and a vintage living room background. The overall mood is upscale, stylish, relaxed, fun, and lively. An adult Western woman with long…
- Create a realistic cinematic video of the woman just after finishing a tennis match. She lowers the racket from her shoulder and walks forward naturally at a calm pace, never looking at the camera. Her gaze stays ahead or slightly to the side, like an unposed movie scene. Her cur…
- The red-haired woman walks down the Paris street holding two baguettes. A cheeky pigeon suddenly swoops toward the bread, making her quickly pull the baguettes closer to her chest and laugh in surprise. The pigeon flies past and out of frame. Natural reaction, cinematic handheld…

## 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/viduq4-preview)
- [All models](https://gptproto.com/model)
- [API keys](https://gptproto.com/dashboard/api-key)
- [Platform overview for LLMs](https://gptproto.com/llms-full.txt)
- Any other model: `https://gptproto.com/model/{vendor}/{model}/{scene}/llms.txt`