# Ltx 2.3 Quality Text-to-Video — Atlas Cloud API

> Generate high-quality video with audio from images using LTX-2.3

This is the machine-readable API reference for **Ltx 2.3 Quality Text-to-Video** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `ltx-2.3-quality/text-to-video`
- **Built by**: LIGHTRICKS
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/ltx-2.3-quality/text-to-video
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.002 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: "ltx-2.3-quality/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 ltx-2.3-quality/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**: `ltx-2.3-quality/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: `"ltx-2.3-quality/text-to-video"`

- **`prompt`** (`string`, _required_):
  Text description of the video to generate. Maximum 2,000 characters.

- **`num_frames`** (`integer`, _optional_):
  Number of frames to generate. Must be a multiple of 8 plus 1 (e.g. 25, 41, 81, 121, 161, 201, 241, 257).
  - Default: `121`
  - Min: 25
  - Max: 257

- **`resolution`** (`string`, _optional_):
  Output video resolution preset.
  - Default: `"landscape_16_9"`
  - Options: "square_hd", "square", "portrait_3_4", "portrait_9_16", "landscape_4_3", "landscape_16_9"

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

- **`seed`** (`integer`, _optional_):
  Random seed for reproducibility. Use the same seed and prompt to reproduce results.
  - Min: 0



**Required Parameters Example**:

```json
{
  "model": "ltx-2.3-quality/text-to-video",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "ltx-2.3-quality/text-to-video",
  "prompt": "",
  "num_frames": 121,
  "resolution": "landscape_16_9",
  "generate_audio": false,
  "seed": 0
}
```


### Output Schema

The API returns the following output format:


- **`model`** (`string`, _optional_):
  model name
  - Default: `"ltx-2.3-quality/text-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.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated videos. Null 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": "ltx-2.3-quality/text-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": "ltx-2.3-quality/text-to-video",
  "prompt": "",
  "num_frames": 121,
  "resolution": "landscape_16_9",
  "generate_audio": false,
  "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/ltx-2.3-quality/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._

### LTX 2.3 Quality Text-to-Video

**LTX 2.3 Quality** is a high-quality text-to-video model that generates cinematic videos from natural language prompts, with optional audio generation. Built on the LTX-Video architecture, it delivers smooth motion, strong prompt adherence, and flexible resolution presets.

#### 🌟 Key Features

##### 🎬 Cinematic Video Generation
Generates high-fidelity videos from descriptive text prompts with precise motion control, realistic lighting, and consistent style.

##### 🔊 Optional Audio Generation
Optionally produce synchronized audio alongside the video in a single request — no separate audio pipeline required.

##### 📐 Multiple Resolution Presets
Six aspect ratio presets cover every common layout, from square HD to widescreen landscape and vertical portrait formats.

##### 🔁 Reproducible Results
Pin a seed value to reproduce or iterate on a specific generation, enabling systematic prompt and parameter refinement.

#### ⚙️ Parameters

| Parameter | Required | Description |
|---|---|---|
| `prompt` | ✅ | Text description of the video to generate. Maximum 2,000 characters. |
| `num_frames` | ❌ | Number of frames to generate (default: `121`). Must be a multiple of 8 plus 1. |
| `resolution` | ❌ | Output video resolution preset (default: `landscape_16_9`). See options below. |
| `generate_audio` | ❌ | Whether to generate accompanying audio (default: `false`). |
| `seed` | ❌ | Random seed for reproducibility. Omit for random results. |

##### Resolution Options

| Value | Description |
|---|---|
| `square_hd` | Square HD (1024×1024) |
| `square` | Square (512×512) |
| `portrait_3_4` | Portrait 3:4 |
| `portrait_9_16` | Portrait 9:16 |
| `landscape_4_3` | Landscape 4:3 |
| `landscape_16_9` | Landscape 16:9 |

##### Frame Count Guide

| `num_frames` | Approximate Duration (24fps) |
|---|---|
| 25 | ~1 second |
| 81 | ~3.4 seconds |
| 121 | ~5 seconds |
| 161 | ~6.7 seconds |
| 257 | ~10.7 seconds |

#### 💲 Pricing

_(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/ltx-2.3-quality/text-to-video · Docs: https://www.atlascloud.ai/docs