---
title: Generate Text to Video With LTX Video (RTX 5080)
slug: ltx-video-rtx-5080
url: https://apyhub.com/mastera-ai/service/ltx-video-rtx-5080
provider: MasterA AI
categories: [Artificial Intelligence, Smart Generation]
tags: [text-to-video, video-generation, ltx, ke]
auth: api_key
---

# Generate Text to Video With LTX Video (RTX 5080)

Generate short cinematic video clips from text with LTX-Video 13B distilled on a dedicated RTX 5080.

## Endpoints

| Method | URL | Description | Atoms |
| --- | --- | --- | --- |
| POST | `https://api.eu.apyhub.com/mastera-ai/ltx-video-rtx-5080/v1/ltx/generate` | What it does Generates a short video from a text prompt and starts the job asynchronously. The requ… | 7200 |
| GET | `https://api.eu.apyhub.com/mastera-ai/ltx-video-rtx-5080/v1/tasks/:task_id` | What it does Polls the status of an LTX text-to-video task using the task identifier in the path. T… | 1 |

## Examples

### Generate a short video (LTX, RTX 5080)

#### Quickstart

Start a text-to-video generation job with a prompt.

```bash
curl -X POST "https://api.eu.apyhub.com/mastera-ai/ltx-video-rtx-5080/v1/ltx/generate" \
  -H 'apy-token: $APY_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{
    "prompt": "Ocean waves at sunset, cinematic, slow camera pan",
    "negative_prompt": "",
    "width": 768,
    "height": 512,
    "length": 97,
    "steps": 8,
    "cfg": 1
  }'
```

#### What you'll get back

Returns a JSON object with `status` (string), `message` (string), and `task_id` (string) fields. `status` indicates the job state, `message` provides a human-readable note, and `task_id` is the identifier for the queued generation task.

```json
{
  "task_id": "61442d82a33e",
  "status": "processing",
  "message": "Video generation started. Poll GET /v1/tasks/{task_id} for result."
}
```

### Poll LTX video status (RTX 5080)

#### Quickstart

Check the status of a video-generation task by its `task_id`.

```bash
curl "https://api.eu.apyhub.com/mastera-ai/ltx-video-rtx-5080/v1/tasks/:task_id" \
  -H 'apy-token: $APY_TOKEN'  
```

#### What you'll get back

Returns a JSON object with these top-level fields when available: `type` (`string`), `error` (`string`), `status` (`string`), `message` (`string`), `task_id` (`string`), and `output_url` (`string`).

```json
{
  "type": "ltx_t2v",
  "status": "completed",
  "task_id": "task-123",
  "output_url": "https://example.com/video.mp4"
}
```

## About

## What it does
Text to Video Generator turns a text prompt into a short MP4 video using LTX video generation. Send a `prompt`, and you can optionally tune `cfg`, `seed`, `steps`, `width`, `height`, `length`, and `negative_prompt` to control guidance, reproducibility, frame count, and output size.

The `POST /ltx/generate` endpoint starts a generation task and returns a `status`, `message`, and `task_id`. Use `GET /tasks/:task_id` to check progress until the job reaches `completed` or `error`. When the video is ready, the task status response includes an `output_url` to the finished MP4.

Use Text to Video Generator when you need short motion clips from a script, product concept, storyboard note, or scene description. It is a fit for prototyping video ideas, creating demo assets, or generating synthetic motion content without a manual editing workflow.

Because the output is task-based, you can kick off generation and poll asynchronously while your app continues other work. That makes it easy to slot into content pipelines, creative tools, or internal review systems where you need a generated clip and a reliable completion signal.

>**Notes**: Text-to-video with LTX-Video 13B (distilled) on a dedicated NVIDIA RTX 5080. Generates a ~4-second cinematic clip in ~30 seconds.

## Usage

Base URL: `https://api.eu.apyhub.com` (default region — see
`GET https://apyhub.com/api/public/regions` for the rest).

Authenticate with an ApyHub API key in the `apy-token` header.
Full docs and a live playground: https://apyhub.com/mastera-ai/service/ltx-video-rtx-5080