# Pixverse c1 Reference-to-Video — Atlas Cloud API

> Pixverse c1 Reference-to-Video model. High-quality video generation from image prompts.

This is the machine-readable API reference for **Pixverse c1 Reference-to-Video** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `pixverse/c1/reference-to-video`
- **Built by**: PIXVERSE
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/pixverse/c1/reference-to-video
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.03 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: "pixverse/c1/reference-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 pixverse/c1/reference-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**: `pixverse/c1/reference-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: `"pixverse/c1/reference-to-video"`

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

- **`images`** (`array[object]`, _required_):
  Image reference array (1–7 items).
  - Min items: 1
  - Max items: 7
  - Item properties:
    - **`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

    - **`type`** (`string`, _optional_):
      Reference type. For v5.5+: "subject" or "background".
      - Options: "subject", "background"

    - **`ref_name`** (`string`, _optional_):
      Optional name for the reference image (v5.5+). Used to improve accuracy. Max 30 bytes (UTF-8).


- **`duration`** (`integer`, _optional_):
  The duration of the generated media in seconds (1-15).
  - Default: `5`
  - Options: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15

- **`aspect_ratio`** (`string`, _optional_):
  The aspect ratio of the generated video.
  - Default: `"16:9"`
  - Options: "16:9", "9:16", "1:1", "4:3", "3:4", "2:3", "3:2", "21:9"

- **`quality`** (`string`, _optional_):
  The resolution of the generated video.
  - Default: `"720p"`
  - Options: "360p", "540p", "720p", "1080p"

- **`sound`** (`boolean`, _optional_):
  Whether sound is generated simultaneously when generating a video.
  - Default: `true`

- **`seed`** (`integer`, _optional_):
  Random seed for reproducibility.



**Required Parameters Example**:

```json
{
  "model": "pixverse/c1/reference-to-video",
  "prompt": "",
  "images": [
    {
      "image": "",
      "type": "subject",
      "ref_name": ""
    }
  ]
}
```


**Full Example**:

```json
{
  "model": "pixverse/c1/reference-to-video",
  "prompt": "",
  "images": [
    {
      "image": "",
      "type": "subject",
      "ref_name": ""
    }
  ],
  "duration": 5,
  "aspect_ratio": "16:9",
  "quality": "720p",
  "sound": 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.

- **`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": "pixverse/c1/reference-to-video",
  "prompt": "",
  "images": [
    {
      "image": "",
      "type": "subject",
      "ref_name": ""
    }
  ],
  "duration": 5,
  "aspect_ratio": "16:9",
  "quality": "720p",
  "sound": 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/pixverse/c1/reference-to-video)

## About this model

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

#### PixVerse C1 Reference-to-Video

**PixVerse C1 Reference-to-Video** enables subject-consistent video generation by accepting up to 7 image references. Specify reference images as subjects or backgrounds, and the model generates a video that faithfully preserves the visual identity of your referenced elements.

#### Why Choose This?

-   **Subject consistency** Maintain character and object identity across the generated video.

-   **Multiple references** Use up to 7 image references for rich, multi-subject scenes.

-   **Reference typing** Tag each reference as a "subject" or "background" for precise control.

-   **High resolution output** Generate videos in 360p, 540p, 720p, or 1080p quality.

-   **Flexible duration** Create videos from 1 to 15 seconds in length.

-   **Audio generation** Optional synchronized audio that matches your scene.

#### Parameters

| Parameter | Required | Description |
| --- | --- | --- |
| prompt | Yes | Text description of the desired scene and motion |
| images | Yes | Array of image reference objects (1–7 items) |
| images[].image | Yes | Reference image (public URL or Base64, max 20MB) |
| images[].type | No | Reference type: "subject" or "background" (v5.5+) |
| images[].ref\_name | No | Name for this reference, used in prompt mentions (max 30 bytes, v5.5+) |
| model | Yes | Model name (default: c1) |
| duration | No | Video length in seconds (1-15, default: 5) |
| quality | No | Output resolution: 360p, 540p, 720p (default), 1080p |
| aspect\_ratio | No | Video aspect ratio (default: 16:9) |
| sound | No | Generate synchronized audio (default: enabled) |
| seed | No | Random seed for reproducibility |

#### How to Use

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

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/pixverse/c1/reference-to-video · Docs: https://www.atlascloud.ai/docs