# Kling v2.5 Turbo Pro Text-to-Video — Atlas Cloud API

> Delivers high-speed text-to-video generation with cinematic motion precision and enhanced temporal stability.

This is the machine-readable API reference for **Kling v2.5 Turbo 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-v2.5-turbo-pro/text-to-video`
- **Built by**: Kuaishou
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/kwaivgi/kling-v2.5-turbo-pro/text-to-video
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.06 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-v2.5-turbo-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-v2.5-turbo-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-v2.5-turbo-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-v2.5-turbo-pro/text-to-video"`

- **`prompt`** (`string`, _required_):
  The positive prompt for the generation. max length 2500

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

- **`aspect_ratio`** (`string`, _optional_):
  The aspect ratio of the generated media.
  - Default: `"16:9"`
  - Options: "1:1", "9:16", "16:9"

- **`duration`** (`integer`, _optional_):
  The duration of the generated media in seconds.
  - Default: `5`
  - Options: 5, 10

- **`guidance_scale`** (`number`, _optional_):
  The guidance scale to use for the generation.
  - Default: `0.5`
  - Min: 0
  - Max: 1



**Required Parameters Example**:

```json
{
  "model": "kwaivgi/kling-v2.5-turbo-pro/text-to-video",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "kwaivgi/kling-v2.5-turbo-pro/text-to-video",
  "prompt": "",
  "negative_prompt": "",
  "aspect_ratio": "16:9",
  "duration": 5,
  "guidance_scale": 0.5
}
```


### 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": "kwaivgi/kling-v2.5-turbo-pro/text-to-video",
  "prompt": "",
  "negative_prompt": "",
  "aspect_ratio": "16:9",
  "duration": 5,
  "guidance_scale": 0.5
}'

# 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-v2.5-turbo-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 2.5 Turbo Pro (Text-to-Video)

**Kling 2.5 Turbo Pro** is an advanced text-to-video model that produces ultra-smooth motion, cinematic visuals, and accurate prompt adherence. 

Its improved **dynamic processing** and **text-to-motion control** allow for seamless transitions while maintaining style fidelity across various looks.

#### What makes it different?

* **Enhanced multi-step instruction understanding**
  A new text-and-timing controller processes multi-step prompts to transform static inputs into coherent, controllable narrative scenes.

* **High-motion quality and stability**
  Better training and data balance create realistic dynamics, enabling quick and complex movements with fewer artifacts like jitter, tearing, or frame drops.

* **Faster inference**
  Optimized pipelines reduce end-to-end delay, providing faster delivery of high-quality results without compromising visual fidelity.

* **Consistent style**
  Enhanced style conditioning preserves the reference look (palette, lighting, brushwork, mood), ensuring frames stay consistent - even during dynamic scenes.

#### Designed for

* **Marketing & Brand Teams** – Produce style-consistent ads, feature demos, and campaign assets fast.
* **Content Creators / YouTubers / Short-form Teams** – Improve watch-through with stronger narrative flow and motion.
* **Film/Animation Studios** – Use for previz, technique exploration, and style studies with reliable dynamic consistency.
* **Training & Education** – Turn documents into clear, high-resolution explainer videos for scalable distribution.

#### Pricing

| Duration | Price  |
|----------|--------|
| 5s       | $0.35  |
| 10s      | $0.70  |

##### Billing Rules

- **Minimum charge:** 5 seconds
- **Per-second rate** = (price per 5 seconds) ÷ 5
- **Billed duration** = video length in seconds (rounded up), with a 5-second minimum
- **Total cost** = billed duration × per-second rate (by output resolution)

#### 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/kwaivgi/kling-v2.5-turbo-pro/text-to-video · Docs: https://www.atlascloud.ai/docs