# Veo3.1 Fast Text-to-Video — Atlas Cloud API

> Generate visually compelling videos from text in record time. Veo 3.1 Fast Text-to-Video prioritizes speed and responsiveness while maintaining impressive fidelity for rapid creative iteration.

This is the machine-readable API reference for **Veo3.1 Fast Text-to-Video** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `google/veo3.1-fast/text-to-video`
- **Built by**: Google
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/google/veo3.1-fast/text-to-video
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.08 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: "google/veo3.1-fast/text-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 google/veo3.1-fast/text-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**: `google/veo3.1-fast/text-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: `"google/veo3.1-fast/text-to-video"`

- **`prompt`** (`string`, _required_):
  Text prompt for generation; Positive text prompt.

- **`aspect_ratio`** (`string`, _optional_):
  Aspect ratio of the video.
  - Default: `"16:9"`
  - Options: "16:9", "9:16"

- **`duration`** (`integer`, _optional_):
  The duration of the generated media in seconds.
  - Default: `8`
  - Options: 8, 4, 6

- **`resolution`** (`string`, _optional_):
  Video resolution.
  - Default: `"720p"`
  - Options: "720p", "1080p", "4k"

- **`generate_audio`** (`boolean`, _optional_):
  Whether to generate audio.
  - Default: `false`

- **`negative_prompt`** (`string`, _optional_):
  Negative prompt for the generation.

- **`seed`** (`integer`, _optional_):
  The random seed to use for the generation.



**Required Parameters Example**:

```json
{
  "model": "google/veo3.1-fast/text-to-video",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "google/veo3.1-fast/text-to-video",
  "prompt": "",
  "aspect_ratio": "16:9",
  "duration": 8,
  "resolution": "720p",
  "generate_audio": false,
  "negative_prompt": "",
  "seed": 0
}
```


### Output Schema

The API returns the following output format:


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

- **`has_nsfw_contents`** (`array[boolean]`, _optional_):
  Array of boolean values indicating NSFW detection for each output.

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

- **`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": "",
  "has_nsfw_contents": [],
  "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": "google/veo3.1-fast/text-to-video",
  "prompt": "",
  "aspect_ratio": "16:9",
  "duration": 8,
  "resolution": "720p",
  "generate_audio": false,
  "negative_prompt": "",
  "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/google/veo3.1-fast/text-to-video)

## About this model

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

### Google Veo 3.1 — Text to Video (T2V) Fast

**Veo 3.1 T2V Fast** is the **high-speed**, **cost-optimized** version of Google DeepMind's Veo 3.1 text-to-video model.

It converts text prompts into cinematic 1080p videos with natural motion, realistic lighting, and synchronized native audio — all generated up to 30 % faster than the standard model.

Perfect for creators who need rapid, high-quality video generation for storytelling, marketing, and short-form content production.

---

#### Why it stands out

* **Cinematic Realism**

  Produces high-fidelity motion with natural lighting, accurate perspective, and fluid camera transitions.

* **Native Audio Generation**

  Automatically generates synchronized sound—including ambient noise, effects, and light music—perfectly aligned with the visuals.

* **Dialogue & Lip-Sync**

  Enables speaking characters or realistic expressions, ideal for storytelling, marketing, and short-form content.

* **Consistent Subject & Style**

  Retains the identity,tone of your input prompt throughout the motion sequence.

---

#### Pricing

Every run at least needs **$0.15/second** (both 720p and 1080p)

Without audio needs **$0.10/second**

✅ Commercial use allowed

---

#### How to Use

2. **Write a Prompt**

   Describe the desired motion, mood, and camera movement.

   > Example: *“Slow cinematic zoom out as wind moves through the trees and sunlight flickers across the leaves.”*

3. **Adjust Settings**

   Select the video duration and resolution (up to 1080p).

4. **Generate the Video**

   Submit your prompt — Veo 3.1 T2V automatically creates motion, lighting, and audio.

5. **Preview & Download**

   Review the result, refine the prompt if needed, and download the final MP4.

---

#### Pro Tips

* Keep prompts focused on a single subject or action for best stability.

* Add camera directions like *“tracking shot,” “slow pan,”* or *“handheld style”* to control movement.

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

---

Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/google/veo3.1-fast/text-to-video · Docs: https://www.atlascloud.ai/docs