# Kling v3.0 Pro Text-to-Video — Atlas Cloud API

> Kling v3.0 Professional Text-to-Video model by Kuaishou. Premium quality video generation from text prompts with advanced features.

This is the machine-readable API reference for **Kling v3.0 Pro Text-to-Video** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `kwaivgi/kling-v3.0-pro/text-to-video`
- **Built by**: Kuaishou
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/kwaivgi/kling-v3.0-pro/text-to-video
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.095 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: "kwaivgi/kling-v3.0-pro/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 kwaivgi/kling-v3.0-pro/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**: `kwaivgi/kling-v3.0-pro/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: `"kwaivgi/kling-v3.0-pro/text-to-video"`

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

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

- **`multi_shot`** (`boolean`, _optional_):
  Whether to enable multi-shot generation.
  - Default: `false`

- **`shot_type`** (`string`, _optional_):
  Multi-shot mode. customize = caller provides per-shot prompts; intelligence = model auto-splits the top-level prompt into shots. Required when multi_shot=true.
  - Options: "customize", "intelligence"

- **`multi_prompt`** (`array[object]`, _optional_):
  Per-shot storyboards. Required when multi_shot=true and shot_type=customize. Sum of each shot's duration must equal the top-level duration; each shot duration must be >= 1.
  - Min items: 1
  - Max items: 6
  - Item properties:
    - **`index`** (`integer`, _required_):
      1-based shot index. Auto-aligned to array position.
      - Min: 1

    - **`prompt`** (`string`, _required_):
      Prompt for this shot.

    - **`duration`** (`string`, _required_):
      Duration of this shot in seconds (string, '1'~'15'). Sum of all shots must equal the top-level duration. Each shot duration >= 1.


- **`duration`** (`integer`, _optional_):
  The duration of the generated media in seconds (3-15).
  - Default: `5`
  - Options: 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"

- **`cfg_scale`** (`number`, _optional_):
  Flexibility in video generation; The higher the value, the lower the model's degree of flexibility, and the stronger the relevance to the user's prompt.
  - Default: `0.5`
  - Min: 0
  - Max: 1

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



**Required Parameters Example**:

```json
{
  "model": "kwaivgi/kling-v3.0-pro/text-to-video"
}
```


**Full Example**:

```json
{
  "model": "kwaivgi/kling-v3.0-pro/text-to-video",
  "prompt": "",
  "negative_prompt": "",
  "multi_shot": false,
  "shot_type": "customize",
  "multi_prompt": [
    {
      "index": 1,
      "prompt": "",
      "duration": ""
    }
  ],
  "duration": 5,
  "aspect_ratio": "16:9",
  "cfg_scale": 0.5,
  "sound": true
}
```


### Output Schema

The API returns the following output format:


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

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

- **`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": "",
  "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": "kwaivgi/kling-v3.0-pro/text-to-video",
  "prompt": "",
  "negative_prompt": "",
  "multi_shot": false,
  "shot_type": "customize",
  "multi_prompt": [
    {
      "index": 1,
      "prompt": "",
      "duration": ""
    }
  ],
  "duration": 5,
  "aspect_ratio": "16:9",
  "cfg_scale": 0.5,
  "sound": true
}'

# 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/kwaivgi/kling-v3.0-pro/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._

#### Kling V3.0 Pro Text-to-Video

**Kling V3.0 Pro** is Kuaishou's highest-quality text-to-video model, delivering superior visual fidelity and motion realism over the Standard tier. With synchronized sound generation, voice support, and precise creative controls, it produces cinematic-grade video from text descriptions.

#### Why Choose This?

* **Pro-tier quality** Superior visual detail, motion smoothness, and cinematic rendering compared to Standard.
* **Sound generation** Optional synchronized sound effects generated alongside the video.
* **Voice list support** Add up to 2 custom voice entries for character dialogue.
* **Negative prompt support** Exclude unwanted elements for precise control over the output.
* **CFG scale control** Fine-tune the balance between prompt adherence and creative freedom.

#### Parameters

| Parameter | Required | Description |
| --- | --- | --- |
| prompt | Yes | Text description of the video scene and motion |
| negative_prompt | No | Elements to exclude from generation |
| duration | No | Video length: 5 or 10 seconds (default: 5) |
| aspect_ratio | No | Output ratio: 16:9 (default), 9:16, 1:1 |
| cfg_scale | No | Prompt adherence strength (default: 0.5) |
| sound | No | Generate synchronized sound (default: disabled) |
| voice_list | No | Custom voice entries, up to 2 (click "+ Add Item") |

#### How to Use

1. **Write your prompt** — describe the scene, characters, motion, and style in detail.
2. **Add negative prompt (optional)** — specify what you want to avoid.
3. **Set duration** — 5 seconds or 10 seconds.
4. **Select aspect ratio** — match your target platform.
5. **Adjust cfg_scale (optional)** — higher for stricter prompt following, lower for more freedom.
6. **Enable sound (optional)** — generate synchronized audio with the video.
7. **Add voices (optional)** — add up to 2 voice entries for character dialogue.
8. **Run** — submit and download your video.

#### Best 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/kwaivgi/kling-v3.0-pro/text-to-video · Docs: https://www.atlascloud.ai/docs