# Vidu 2.0 | Reference to Video

Vidu 2.0 Reference to Video generates realistic motion by combining multiple reference photos into a seamless video.

## API Information

- **Model Slug:** vidu-2-0-reference-to-video
- **Branded URL:** https://www.eachlabs.ai/vidu/vidu-2-0/vidu-2-0-reference-to-video
- **Provider:** Vidu
- **Category:** Reference to Video
- **Output Type:** video
- **Status:** active
- **Version:** 0.0.1
- **Base Cost:** 360p at $0.10 per second, 720p at $0.10 per second
- **Estimated Processing Time:** 40 seconds
- **Last Updated:** 2026-04-17
- **Interactive Demo:** https://www.eachlabs.ai/ai-models/vidu-2-0-reference-to-video

## Pricing

- **Charge Type:** dynamic
- **Pricing Details:** 360p at $0.10 per second, 720p at $0.10 per second

### Pricing Rules

| Condition | Pricing |
| --- | --- |
| Rule 1 | 360p at $0.10 per second, 720p at $0.10 per second |

## Input Schema

| Parameter | Type | Required | Default | Constraints | Description |
|-----------|------|----------|---------|-------------|-------------|
| prompt | string | Yes | - | - | Text prompt, A textual description for video generation, with a maximum length of 1500 characters |
| image_url | string | Yes | - | png, jpeg, jpg, webp | The model will use the provided images as references to generate a video with consistent subjects |
| image_url2 | string | No | - | - | - |
| duration | integer | No | 4 | 4 | The number of seconds of duration for the output video |
| image_url3 | string | No | - | - | - |
| image_url4 | string | No | - | - | - |
| resolution | string | No | 720p | 720p | - |
| movement_amplitude | string | No | auto | auto,small,medium,large | The movement amplitude of objects in the frame |
| aspect_ratio | string | No | 16:9 | 16:9,9:16,1:1 | - |
| seed | integer | No | - | - | Seed |

## Example Request

```bash
curl -X POST https://api.eachlabs.ai/v1/prediction/ \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "vidu-2-0-reference-to-video",
  "input": {
    "prompt": "Scene: On the surface of an alien planet, strange rocks stand in the red desert, and two huge planets hang in the sky. Character: An astronaut, wearing a heavy space suit, holding a detection instrument. Emotion: Loneliness and exploration, full of unknowns and adventures. Action: Astronauts explore the surface of the planet, discover ancient alien ruins, and unravel the secrets. Style: Sci-fi adventure style, mainly cold colors, strong light and shadow.",
    "image_url": "https://storage.googleapis.com/magicpoint/inputs/vidu-2.0-r2v-input.jpg"
  }
}'
```

## Output Schema

Response returned by `GET /v1/prediction/{id}` when the job completes:

```json
{
  "status": "success",
  "predictionID": "string",
  "output": "string (URL of generated video)",
  "metrics": {
    "predict_time": "number (seconds)"
  }
}
```

## Polling

```bash
curl https://api.eachlabs.ai/v1/prediction/{PREDICTION_ID} \
  -H "X-API-Key: YOUR_API_KEY"
```

| Status | Meaning |
|--------|---------|
| `processing` | Still running — poll again |
| `success` | Done — read `output` |
| `error` | Failed — read `message` / `details` |

## Webhook (alternative to polling)

Pass `"webhook_url": "https://your.host/path"` in the create request. Eachlabs POSTs this payload when the job ends:

```json
{
  "exec_id": "prediction-uuid",
  "status": "succeeded",
  "output": "https://...",
  "error": ""
}
```

`status` is `"succeeded"` or `"failed"`. `exec_id` equals the `predictionID` from create. Return 2xx within 30 seconds.

## Errors

Error body: `{ "status": "error", "message": "...", "details": "..." }`

| Code | Meaning |
|------|---------|
| `400` | Invalid input |
| `401` | Missing / invalid `X-API-Key` |
| `404` | Unknown model or prediction id |
| `429` | Rate limit — 100 creates / min, 10 concurrent per key |
| `5xx` | Retry with backoff |

## Overview

**vidu-2-0-reference-to-video — Image-to-Video AI Model**

Transform static reference photos into seamless, realistic motion videos with **vidu-2-0-reference-to-video**, Vidu's advanced image-to-video AI model from the vidu-2.0 family. This model excels by fusing multiple reference images—up to 4 images alongside 2 videos—into coherent short-form videos with exceptional consistency in characters, actions, and styles, solving the challenge of uncontrollable AI video outputs.

Developed by Vidu, **vidu-2-0-reference-to-video** powers production-grade workflows for creators seeking precise control over video generation from images. It supports native 1080p resolution and durations up to 16 seconds, making it ideal for **Vidu image-to-video** applications like short films and commercials where multi-reference fusion ensures pixel-level accuracy without post-production guesswork.

## Usage Notes

- API Base URL: `https://api.eachlabs.ai/v1`
- Authentication: send `X-API-Key: YOUR_API_KEY`. Generate a key from the Eachlabs dashboard at https://www.eachlabs.ai/dashboard/api-keys.
- File-typed parameters (`*_url`, `image_url`, `video_url`, `audio_url`, etc.) accept publicly-reachable HTTPS URLs only. Upload your asset first (GCS / S3 / your CDN) and pass the resulting URL. Data-URIs and localhost URLs are rejected.
- For structured parameters (arrays / objects) send real JSON values, not stringified payloads.
- Monetary values are reported in USD; per-token / per-megapixel rates may be billed in micro-cents internally.
- Prefer `webhook_url` over polling for long-running predictions — see the Webhook Callback section.