# Veed-fabric 1.0 Image-to-Video — Atlas Cloud API

This is the machine-readable API reference for **Veed-fabric 1.0 Image-to-Video** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `veed/fabric-1.0/image-to-video`
- **Built by**: veed
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/veed/fabric-1.0/image-to-video
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.088 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: "veed/fabric-1.0/image-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 veed/fabric-1.0/image-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**: `veed/fabric-1.0/image-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: `"veed/fabric-1.0/image-to-video"`

- **`image_url`** (`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

- **`audio_url`** (`string`, _required_):
  The audio URL for the generation.

- **`resolution`** (`string`, _required_):
  The resolution of the generated media.
  - Default: `"720p"`
  - Options: "480p", "720p"



**Required Parameters Example**:

```json
{
  "model": "veed/fabric-1.0/image-to-video",
  "image_url": "",
  "audio_url": "",
  "resolution": "720p"
}
```


**Full Example**:

```json
{
  "model": "veed/fabric-1.0/image-to-video",
  "image_url": "",
  "audio_url": "",
  "resolution": "720p"
}
```


### Output Schema

The API returns the following output format:


- **`model`** (`string`, _optional_):
  model name
  - Default: `"veed/fabric-1.0/image-to-video"`

- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”).

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

- **`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
{
  "model": "veed/fabric-1.0/image-to-video",
  "created_at": "",
  "id": "",
  "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": "veed/fabric-1.0/image-to-video",
  "image_url": "",
  "audio_url": "",
  "resolution": "720p"
}'

# 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/veed/fabric-1.0/image-to-video)

## About this model

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

### VEED Fabric 1.0 Image-to-Video

**VEED Fabric 1.0** is a high-speed image-to-video generation model powered by VEED's Fabric technology. It transforms a single still image into a fluid, realistic video clip — optionally driven by an audio track — making it ideal for rapid creative production and prototyping.

#### 🌟 Key Features

##### ⚡ Generation
Optimized for speed without sacrificing visual quality, delivering results significantly faster than standard-quality pipelines.

##### 🖼 Image-to-Video
Animates any still image into a smooth video sequence, preserving the original composition, lighting, and subject identity.

##### 🎵 Audio-Driven Animation
Accepts an audio track as a generation driver, enabling lip sync, rhythm-matched motion, or ambient scene animation guided by sound.

##### 🎬 Flexible Resolution
Supports 480p for lightweight, cost-efficient output and 720p for higher-fidelity delivery — choose based on your quality and budget requirements.

##### 💰 Efficient and Accessible
Per-second billing based on output video duration, so you only pay for what you generate.

#### ⚙️ Parameters

| Parameter | Required | Description |
|---|---|---|
| `image_url`* | ✅ | First frame of the video. Accepts a public URL or Base64-encoded image. Supported formats: `png`, `jpeg`, `jpg`, `webp`. The start/end frame aspect ratio must be in the range `0.8–1.25`. Request body must not exceed 20 MB. |
| `audio_url`* | ✅ | Audio URL to drive the video generation. Duration must be between 1–300 seconds. |
| `resolution`* | ✅ | Output resolution: `480p` or `720p`. Default: `720p`. |

#### 💲 Pricing

| Resolution | Unit Price |
|---|---|
| 480p | $0.088 / second |
| 720p | $0.165 / second |

Billing is based on the duration of the audio input (1–300 seconds).

#### 💡 Example Prompt

> A confident professional walking into a bright modern office, animated from a portrait photo, synchronized to an upbeat background music track.

#### 🎯 Use Cases

_(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/veed/fabric-1.0/image-to-video · Docs: https://www.atlascloud.ai/docs