ltx/ltx-2.5-fast/text-to-video

text-to-video

LTX 2.5 Fast Text-to-Video API by LTX

ltx/ltx-2.5-fast/text-to-video

Text-to-video

LTX-2.5 Fast text-to-video (Lightricks LTX-2 native API): generate a cinematic clip from a text prompt, up to 4K at 24/48 fps (up to 20s at 720p/1080p, with synchronized audio).

Compare models

LTX 2.5 Fast Text-to-Video is developed by a third-party provider. Atlas Cloud (operated by Atlas Cloud AI LLC) provides access to it and does not own it. All trademarks belong to their respective owners.

INPUT

Prompt *

Duration

Resolution

Aspect Ratio

Frame rate

Generate Audio

Camera motion

OUTPUT

Idle

Your generated videos will appear here

Configure your settings and click Run to get started

Your request will cost $0.09 per run. For $10 you can run this model approximately 111 times.

Here's what you can do next:

Seedance 2.0 Kling v3 Vidu Wan2.7

Parameters

Code Example
import requests
import time

# Step 1: Start video generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "ltx/ltx-2.5-fast/text-to-video",  # Required. Model name
    "prompt": "A majestic eagle soaring through golden clouds at sunset, slow cinematic dolly-in, warm light.",  # Required. Scene description including desired content, camera movement and atmosphere
    "duration": -1,  # Video length in seconds
    "resolution": "720p",  # Output resolution tier. options: 720p | 1080p | 1440p | 4k
    "aspect_ratio": "16:9",  # Frame orientation: 16:9 landscape or 9:16 portrait. options: 16:9 | 9:16
    "fps": 24,  # Frames per second. options: 24 | 25 | 48 | 50
    "generate_audio": True,  # Whether to generate AI audio (ambience, effects, speech) matching the scene
    "camera_motion": "example_value",  # Optional camera movement directive applied to the shot
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated video:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

video_url = check_status()

Install

Install the required package for your language.

pip install requests

Authentication

All API requests require authentication via an API key. You can get your API key from the Atlas Cloud dashboard.

export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP Headers

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

Keep your API key secure

Never expose your API key in client-side code or public repositories. Use environment variables or a backend proxy instead.

Submit a request

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "prompt": "A beautiful landscape"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Submit a Request

Submit an asynchronous generation request. The API returns a prediction ID that you can use to check the status and retrieve the result.

POST/api/v1/model/generateVideo

Request Body

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "ltx/ltx-2.5-fast/text-to-video",
    "prompt": "A beautiful sunset over the ocean with gentle waves"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}")

Response

{
  "code": 200,
  "data": {
    "id": "pred_abc123",
    "status": "processing",
    "model": "model-name",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

Check Status

Poll the prediction endpoint to check the current status of your request.

GET/api/v1/model/prediction/{prediction_id}

Polling Example

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

Status Values

processingThe request is still being processed.

completedGeneration is complete. Outputs are available.

succeededGeneration succeeded. Outputs are available.

failedGeneration failed. Check the error field.

Completed Response

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.mp4"
    ],
    "metrics": {
      "predict_time": 45.2
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Upload Files

Upload files to Atlas Cloud storage and get a URL you can use in your API requests. Use multipart/form-data to upload.

POST/api/v1/model/uploadMedia

Upload Example

import requests

url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

with open("image.png", "rb") as f:
    files = {"file": ("image.png", f, "image/png")}
    response = requests.post(url, headers=headers, files=files)

result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}")

Response

{
  "data": {
    "download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
    "file_name": "image.png",
    "content_type": "image/png",
    "size": 1024000
  }
}

Input Schema

The following parameters are accepted in the request body.

Total: 8Required: 2Optional: 6

modelstringrequired

Model name.

Default: "ltx/ltx-2.5-fast/text-to-video"

promptstringrequired

Scene description including desired content, camera movement and atmosphere.

Default: "A majestic eagle soaring through golden clouds at sunset, slow cinematic dolly-in, warm light."

durationinteger

Video length in seconds. Durations above 10s (12–20) require 720p or 1080p at 24/25 fps; 1440p, 4k and 48 fps are limited to 6–10s. Use -1 to let the model choose the duration automatically.

Default: -1

-168101214161820

resolutionstring

Output resolution tier. Combined with aspect_ratio to select the exact frame size (720p→1280x720, 1080p→1920x1080, 1440p→2560x1440, 4k→3840x2160; portrait 9:16 swaps width/height). 1440p and 4k support 6–10s durations only.

Default: "720p"

720p1080p1440p4k

aspect_ratiostring

Frame orientation: 16:9 landscape or 9:16 portrait.

Default: "16:9"

16:99:16

fpsinteger

Frames per second. 48 fps is available only for durations ≤10s; at 1440p and 4k all durations are ≤10s regardless of fps.

Default: 24

24254850

generate_audioboolean

Whether to generate AI audio (ambience, effects, speech) matching the scene.

Default: true

camera_motionstring

Optional camera movement directive applied to the shot.

dolly_indolly_outdolly_leftdolly_rightjib_upjib_downstaticfocus_shift

Example Request Body

{
  "model": "ltx/ltx-2.5-fast/text-to-video",
  "prompt": "A majestic eagle soaring through golden clouds at sunset, slow cinematic dolly-in, warm light.",
  "duration": -1,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "fps": 24,
  "generate_audio": true
}

Output Schema

The API returns a prediction response with the generated output URLs.

codeinteger

messagestring

dataunknown

Example Response

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.mp4"
  ],
  "metrics": {
    "predict_time": 45.2
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills integrates 400+ AI models directly into your AI coding assistant. One command to install, then use natural language to generate images, videos, and chat with LLMs.

Supported Clients

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ supported clients

Install

npx skills add AtlasCloudAI/atlas-cloud-skills

Setup API Key

Get your API key from the Atlas Cloud dashboard and set it as an environment variable.

export ATLASCLOUD_API_KEY="your-api-key-here"

Capabilities

Once installed, you can use natural language in your AI assistant to access all Atlas Cloud models.

Image GenerationGenerate images with models like Nano Banana 2, Z-Image, and more.

Video CreationCreate videos from text or images with Kling, Vidu, Veo, etc.

LLM ChatChat with Qwen, DeepSeek, and other large language models.

Media UploadUpload local files for image editing and image-to-video workflows.

Learn more

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server connects your IDE with 400+ AI models via the Model Context Protocol. Works with any MCP-compatible client.

Supported Clients

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ supported clients

Install

npx -y atlascloud-mcp

Configuration

Add the following configuration to your IDE's MCP settings file.

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Available Tools

atlas_generate_imageGenerate images from text prompts.

atlas_generate_videoCreate videos from text or images.

atlas_chatChat with large language models.

atlas_list_modelsBrowse 400+ available AI models.

atlas_quick_generateOne-step content creation with auto model selection.

atlas_upload_mediaUpload local files for API workflows.

Learn more

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "info": {
    "title": "AtlasCloud API",
    "version": "1.0.0",
    "description": "LTX-2.5 Fast text-to-video (Lightricks LTX-2 native API)."
  },
  "paths": {
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "required": true,
            "schema": {
              "description": "Request ID",
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        }
      },
      "x-api-name": "model_result"
    },
    "/api/v1/model/generateVideo": {
      "post": {
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          },
          "required": true
        },
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        }
      },
      "x-api-name": "model_run"
    }
  },
  "openapi": "3.0.0",
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ],
  "components": {
    "schemas": {
      "Input": {
        "type": "object",
        "required": [
          "model",
          "prompt"
        ],
        "properties": {
          "model": {
            "type": "string",
            "description": "Model name.",
            "default": "ltx/ltx-2.5-fast/text-to-video"
          },
          "prompt": {
            "type": "string",
            "default": "A majestic eagle soaring through golden clouds at sunset, slow cinematic dolly-in, warm light.",
            "description": "Scene description including desired content, camera movement and atmosphere."
          },
          "duration": {
            "type": "integer",
            "default": -1,
            "enum": [
              -1,
              6,
              8,
              10,
              12,
              14,
              16,
              18,
              20
            ],
            "description": "Video length in seconds. Durations above 10s (12–20) require 720p or 1080p at 24/25 fps; 1440p, 4k and 48 fps are limited to 6–10s. Use -1 to let the model choose the duration automatically.",
            "x-ui-component": "slider"
          },
          "resolution": {
            "type": "string",
            "default": "720p",
            "enum": [
              "720p",
              "1080p",
              "1440p",
              "4k"
            ],
            "description": "Output resolution tier. Combined with aspect_ratio to select the exact frame size (720p→1280x720, 1080p→1920x1080, 1440p→2560x1440, 4k→3840x2160; portrait 9:16 swaps width/height). 1440p and 4k support 6–10s durations only."
          },
          "aspect_ratio": {
            "type": "string",
            "default": "16:9",
            "enum": [
              "16:9",
              "9:16"
            ],
            "description": "Frame orientation: 16:9 landscape or 9:16 portrait."
          },
          "fps": {
            "type": "integer",
            "default": 24,
            "enum": [
              24,
              25,
              48,
              50
            ],
            "description": "Frames per second. 48 fps is available only for durations ≤10s; at 1440p and 4k all durations are ≤10s regardless of fps."
          },
          "generate_audio": {
            "type": "boolean",
            "default": true,
            "description": "Whether to generate AI audio (ambience, effects, speech) matching the scene."
          },
          "camera_motion": {
            "type": "string",
            "enum": [
              "dolly_in",
              "dolly_out",
              "dolly_left",
              "dolly_right",
              "jib_up",
              "jib_down",
              "static",
              "focus_shift"
            ],
            "description": "Optional camera movement directive applied to the shot."
          }
        },
        "x-order-properties": [
          "model",
          "prompt",
          "duration",
          "resolution",
          "aspect_ratio",
          "fps",
          "generate_audio",
          "camera_motion"
        ],
        "allOf": [
          {
            "if": {
              "properties": {
                "resolution": {
                  "enum": [
                    "720p",
                    "1080p"
                  ]
                },
                "fps": {
                  "enum": [
                    24,
                    25
                  ]
                }
              },
              "required": [
                "resolution",
                "fps"
              ]
            },
            "then": {
              "properties": {
                "duration": {
                  "enum": [
                    -1,
                    6,
                    8,
                    10,
                    12,
                    14,
                    16,
                    18,
                    20
                  ]
                }
              }
            },
            "else": {
              "properties": {
                "duration": {
                  "enum": [
                    -1,
                    6,
                    8,
                    10
                  ],
                  "default": 10
                }
              }
            }
          }
        ]
      },
      "PredictionData": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Unique identifier for the prediction."
          },
          "urls": {
            "type": "object",
            "description": "Object containing related API endpoints."
          },
          "model": {
            "type": "string",
            "description": "Model ID used for the prediction."
          },
          "status": {
            "type": "string",
            "description": "Status: processing, completed, failed, or timeout."
          },
          "outputs": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "URLs to the generated video."
          },
          "created_at": {
            "type": "string",
            "format": "date-time",
            "description": "ISO timestamp of creation."
          },
          "completion_tokens": {
            "type": "integer",
            "description": "Tokens consumed for billing."
          },
          "total_tokens": {
            "type": "integer",
            "description": "Total tokens consumed."
          }
        }
      },
      "PredictionResponse": {
        "type": "object",
        "properties": {
          "code": {
            "type": "integer"
          },
          "message": {
            "type": "string"
          },
          "data": {
            "$ref": "#/components/schemas/PredictionData"
          }
        }
      }
    },
    "securitySchemes": {
      "apiKeyAuth": {
        "in": "header",
        "name": "Authorization",
        "type": "apiKey"
      }
    }
  }
}

LLM-Friendly Prompt Template

# ltx/ltx-2.5-fast/text-to-video

> LTX-2.5 Fast text-to-video (Lightricks LTX-2 native API): generate a cinematic clip from a text prompt, up to 4K at 24/48 fps (up to 20s at 720p/1080p, with synchronized audio).


## Overview

- **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/ltx-2.5-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: `"ltx/ltx-2.5-fast/text-to-video"`

- **`prompt`** (`string`, _required_):
  Scene description including desired content, camera movement and atmosphere.
  - Default: `"A majestic eagle soaring through golden clouds at sunset, slow cinematic dolly-in, warm light."`

- **`duration`** (`integer`, _optional_):
  Video length in seconds. Durations above 10s (12–20) require 720p or 1080p at 24/25 fps; 1440p, 4k and 48 fps are limited to 6–10s. Use -1 to let the model choose the duration automatically.
  - Default: `-1`
  - Options: -1, 6, 8, 10, 12, 14, 16, 18, 20

- **`resolution`** (`string`, _optional_):
  Output resolution tier. Combined with aspect_ratio to select the exact frame size (720p→1280x720, 1080p→1920x1080, 1440p→2560x1440, 4k→3840x2160; portrait 9:16 swaps width/height). 1440p and 4k support 6–10s durations only.
  - Default: `"720p"`
  - Options: "720p", "1080p", "1440p", "4k"

- **`aspect_ratio`** (`string`, _optional_):
  Frame orientation: 16:9 landscape or 9:16 portrait.
  - Default: `"16:9"`
  - Options: "16:9", "9:16"

- **`fps`** (`integer`, _optional_):
  Frames per second. 48 fps is available only for durations ≤10s; at 1440p and 4k all durations are ≤10s regardless of fps.
  - Default: `24`
  - Options: 24, 25, 48, 50

- **`generate_audio`** (`boolean`, _optional_):
  Whether to generate AI audio (ambience, effects, speech) matching the scene.
  - Default: `true`

- **`camera_motion`** (`string`, _optional_):
  Optional camera movement directive applied to the shot.
  - Options: "dolly_in", "dolly_out", "dolly_left", "dolly_right", "jib_up", "jib_down", "static", "focus_shift"



**Required Parameters Example**:

```json
{
  "model": "ltx/ltx-2.5-fast/text-to-video",
  "prompt": "A majestic eagle soaring through golden clouds at sunset, slow cinematic dolly-in, warm light."
}
```


**Full Example**:

```json
{
  "model": "ltx/ltx-2.5-fast/text-to-video",
  "prompt": "A majestic eagle soaring through golden clouds at sunset, slow cinematic dolly-in, warm light.",
  "duration": -1,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "fps": 24,
  "generate_audio": true,
  "camera_motion": "dolly_in"
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):

- **`message`** (`string`, _optional_):

- **`data`** (`string`, _optional_):



**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": null
}
```


## 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/ltx-2.5-fast/text-to-video",
  "prompt": "A majestic eagle soaring through golden clouds at sunset, slow cinematic dolly-in, warm light.",
  "duration": -1,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "fps": 24,
  "generate_audio": true,
  "camera_motion": "dolly_in"
}'

# 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/ltx-2.5-fast/text-to-video)

A lone futuristic detective walks through a rain-soaked megacity at night, surrounded by towering brutalist skyscrapers, enormous holographic advertisements, flying vehicles and endless neon signs. Heavy rain falls through dense volumetric fog, steam rises from underground vents, pedestrians move like silhouettes through the glowing streets. The detective's face is partially illuminated by cyan neon while warm amber light flickers from nearby shops. Wet pavement creates endless reflections. The camera slowly tracks backward as he walks toward the lens, subtle handheld movement, shallow depth of field, anamorphic lens flare, realistic rain on the lens, cinematic chiaroscuro, deep shadows, atmospheric perspective, restrained cyberpunk aesthetic, futuristic film noir, melancholic and mysterious storytelling, photorealistic, premium cinematic VFX, 35mm film grain,

1. Introduction

LTX-2.5 Fast Text-to-Video is served through the native Lightricks LTX-2 API (api.ltx.io). This README covers a single API model identifier:

ltx/ltx-2.5-fast/text-to-video

LTX-2 is Lightricks' second-generation diffusion-transformer video model, generating video up to 4K at cinematic frame rates (24 and 48 fps). This is the LTX-2.5 Fast tier: it generates up to 20 seconds in a single pass at 720p/1080p and supports synchronized audio generation. Requests are processed asynchronously (submit + poll) and every generation is delivered as a finished MP4 hosted on AtlasCloud storage.

2. Key Features

Text-to-Video: Generate a cinematic clip from a text prompt describing content, camera movement and atmosphere.
Native Audio-Video: Produces a matched soundtrack (ambience, effects, speech) aligned to the visuals; set generate_audio: false for a silent clip.
Up to 4K, 24/48 fps: Renders at 720p / 1080p / 1440p / 4K in landscape (16:9) or portrait (9:16).
Longer Single-Pass Clips: Up to 20 seconds at 720p/1080p and 24/25 fps (6–20s); higher resolutions and 48 fps cap at 6–10s.
Camera Control: Optional camera_motion directive (dolly, jib, focus shift, static).

3. Support Matrix

Resolution	Landscape	Portrait	FPS	Duration (s)
720p	1280x720	720x1280	24	6, 8, 10, 12, 14, 16, 18, 20
720p	1280x720	720x1280	48	6, 8, 10
1080p	1920x1080	1080x1920	24	6, 8, 10, 12, 14, 16, 18, 20
1080p	1920x1080	1080x1920	48	6, 8, 10
1440p	2560x1440	1440x2560	24, 48	6, 8, 10
4K	3840x2160	2160x3840	24, 48	6, 8, 10

duration: -1 (automatic) is available on LTX-2.5 tiers only. Audio generation is supported.

4. Parameters

The request body matches this model's schema exactly:

Parameter	Type	Required	Default	Notes
`prompt`	string	Yes	`A majestic eagle soaring through golden clouds at sunset, slow cinematic dolly-in, warm light.`	Scene description including desired content, camera movement and atmosphere.
`duration`	integer	No	`-1`	One of: `-1`, `6`, `8`, `10`, `12`, `14`, `16`, `18`, `20`. Video length in seconds. Durations above 10s (12–20) require 720p or 1080p at 24/25 fps; 1440p, 4k and 48 fps are limited to 6–10s. Use -1 to let the model choose the duration automatically.
`resolution`	string	No	`720p`	One of: `720p`, `1080p`, `1440p`, `4k`. Output resolution tier. Combined with aspect_ratio to select the exact frame size (720p→1280x720, 1080p→1920x1080, 1440p→2560x1440, 4k→3840x2160; portrait 9:16 swaps width/height). 1440p and 4k support 6–10s durations only.
`aspect_ratio`	string	No	`16:9`	One of: `16:9`, `9:16`. Frame orientation: 16:9 landscape or 9:16 portrait.
`fps`	integer	No	`24`	One of: `24`, `48`. Frames per second. 48 fps is available only for durations ≤10s; at 1440p and 4k all durations are ≤10s regardless of fps.
`generate_audio`	boolean	No	`true`	Whether to generate AI audio (ambience, effects, speech) matching the scene.
`camera_motion`	string	No		One of: `dolly_in`, `dolly_out`, `dolly_left`, `dolly_right`, `jib_up`, `jib_down`, `static`, `focus_shift`. Optional camera movement directive applied to the shot.

5. Intended Use & Applications

Cinematic Shots & Trailers: Prompt-driven hero moments and promotional cuts.
Social & Vertical Content: Native 9:16 portrait output for short-form platforms.
Storyboards & Previz: Fast prompt-to-shot iteration with explicit camera direction.
Concept & Ideation: Explore looks and motion from text before committing to production.

LTX 2.5 Fast Text-to-Video API by LTX

INPUT

OUTPUT

Parameters

Code Example

Install

Authentication

HTTP Headers

Submit a request

Submit a Request

Request Body

Response

Check Status

Polling Example

Status Values

Completed Response

Upload Files

Upload Example

Response

Input Schema

Example Request Body

Output Schema

Example Response

Atlas Cloud Skills

Supported Clients

Install

Setup API Key

Capabilities

MCP Server

Supported Clients

Install

Configuration

Available Tools

API Schema

LLM-Friendly Prompt Template

1. Introduction

2. Key Features

3. Support Matrix

4. Parameters

5. Intended Use & Applications

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One API for All Media AI.

INPUT

OUTPUT

Parameters

Code Example

Install

Authentication

HTTP Headers

Submit a request

Submit a Request

Request Body

Response

Check Status

Polling Example

Status Values

Completed Response

Upload Files

Upload Example

Response

Input Schema

Example Request Body

Output Schema

Example Response