# Vidu Q2 Pro-Fast Start-End-to-Video — Atlas Cloud API

> Vidu Q2-Pro-Fast Start-end-to-Video is an advanced AI video generation model that brings static images to life. Upload a reference image and describe the motion you want — the model generates high-quality video with smooth animation, optional audio, and cinematic quality up to 1080p.

This is the machine-readable API reference for **Vidu Q2 Pro-Fast Start-End-to-Video** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `vidu/q2-pro-fast/start-end-to-video`
- **Built by**: Vidu
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/vidu/q2-pro-fast/start-end-to-video
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.034 per second of generated video
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_video` with `model: "vidu/q2-pro-fast/start-end-to-video"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas generate video vidu/q2-pro-fast/start-end-to-video -p "Your prompt here"
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateVideo` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `vidu/q2-pro-fast/start-end-to-video`


## 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:

- **`model`** (`string`, _required_):
  model name
  - Default: `"vidu/q2-pro-fast/start-end-to-video"`

- **`prompt`** (`string`, _required_):
  The positive prompt for the generation.

- **`image`** (`string`, _required_):
  First frame of the video; Notes: 1.Public URL or Base64. 2.Aspect ratios must be close: ratio between start/end frame must be in 0.8~1.25. 3.Format: png, jpeg, jpg, webp. 4.The post body of the HTTP request should not exceed 20MB

- **`end_image`** (`string`, _required_):
  Last frame of the video; Notes: 1.Public URL or Base64. 2.Aspect ratios must be close: ratio between start/end frame must be in 0.8~1.25. 3.Format: png, jpeg, jpg, webp. 4.The post body of the HTTP request should not exceed 20MB

- **`resolution`** (`string`, _optional_):
  The resolution of the generated media.
  - Default: `"720p"`
  - Options: "720p", "1080p"

- **`duration`** (`number`, _optional_):
  The duration of the generated media in seconds.
  - Default: `5`
  - Min: 1
  - Max: 8

- **`movement_amplitude`** (`string`, _optional_):
  The movement amplitude of objects in the frame.
  - Default: `"auto"`
  - Options: "auto", "small", "medium", "large"

- **`bgm`** (`boolean`, _optional_):
  The background music for generating the output.
  - Default: `true`

- **`seed`** (`integer`, _optional_):
  The random seed to use for the generation. -1 means a random seed will be used.



**Required Parameters Example**:

```json
{
  "model": "vidu/q2-pro-fast/start-end-to-video",
  "prompt": "",
  "image": "",
  "end_image": ""
}
```


**Full Example**:

```json
{
  "model": "vidu/q2-pro-fast/start-end-to-video",
  "prompt": "",
  "image": "",
  "end_image": "",
  "resolution": "720p",
  "duration": 5,
  "movement_amplitude": "auto",
  "bgm": true,
  "seed": 0
}
```


### Output Schema

The API returns the following output format:


- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created.

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated content (empty when status is not completed).

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "created_at": "",
  "id": "",
  "model": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "vidu/q2-pro-fast/start-end-to-video",
  "prompt": "",
  "image": "",
  "end_image": "",
  "resolution": "720p",
  "duration": 5,
  "movement_amplitude": "auto",
  "bgm": true,
  "seed": 0
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/vidu/q2-pro-fast/start-end-to-video)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

#### Vidu Q2-Pro-Fast Start-End-to-Video

**Vidu Q2-Pro-Fast Start-End-to-Video** is a high-speed, professional-grade AI video generation model that creates smooth video transitions between two images. It delivers the visual quality of Q2-Pro at significantly faster generation speeds — giving you precise start-to-end frame control without the wait, ideal for iterative and production workflows.

#### Why Choose This?

-   **Faster speed** Significantly reduced generation time compared to Q2-Pro, without sacrificing transition quality.

-   **Precise frame control** Define exactly where the video begins and ends with two reference images.

-   **High resolution output** Generate videos in 540p, 720p, or 1080p quality.

-   **Flexible duration** Create videos from 1 to 10 seconds in length.

-   **Audio generation** Optional synchronized audio and background music.

-   **Prompt Enhancer** Built-in tool to automatically improve your transition descriptions.

#### Parameters

| Parameter | Required | Description |
| --- | --- | --- |
| prompt | Yes | Text description of the transition, motion, and action between frames |
| start\_image | Yes | The first frame image (URL or upload) |
| end\_image | Yes | The last frame image (URL or upload) |
| resolution | No | Output quality: 540p, 720p (default), 1080p |
| duration | No | Video length in seconds (1-10, default: 5) |
| generate\_audio | No | Generate synchronized audio (default: enabled) |
| bgm | No | Add background music (default: enabled) |
| seed | No | Random seed for reproducibility |

#### How to Use

_(Description truncated. Full text on the model page.)_

---

Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/vidu/q2-pro-fast/start-end-to-video · Docs: https://www.atlascloud.ai/docs