lightricks/ltx-2.3-22b/text-to-video

Name: LTX 2.3 22B Text to Video
Author: Lightricks

Ltx 2.3 22b is Lightricks's text-to-video AI model. Turn written scripts and prompts into professional-quality video clips with realistic motion, lighting, and scene composition.

Input

Prompt(string)

The prompt to generate the video from.

Generate Audio(boolean)

Whether to generate audio for the video.

Aspect Ratio(string)

The aspect ratio of the generated video. Allowed values: 16:9, 9:16, 4:3, 3:4, 1:1.

Idle

Example output — click Run to generate your own

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDlightricks/ltx-2.3-22b/text-to-video

Input Schema

3 parameters · 1 required · 2 optional

Parameter	Type	Required	Description
`prompt`	string	Required	The prompt to generate the video from.
`aspect_ratio`	string	Optional	The aspect ratio of the generated video. · Options: 16:9, 9:16, 4:3, 3:4, 1:1 · Default: "16:9" 16:99:164:33:41:1
`generate_audio`	boolean	Optional	Whether to generate audio for the video. · Default: true

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "lightricks/ltx-2.3-22b/text-to-video",
  "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.",
  "aspect_ratio": "16:9",
  "generate_audio": true
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

← Back to LTX 2.3 22B Text to Video

API README

LTX 2.3 22B Text to Video

LTX 2.3 22B Text to Video is a text-to-video creation endpoint in the LTX 2.3 family. It is built for creators who need to turn a concrete creative brief into a controlled visual sequence: the request establishes the source material, the intended subject behavior, the camera language, and the atmosphere of the finished shot. The standard route keeps that workflow explicit instead of hiding its input assumptions behind a generic video-generation label.

In practice, this route accepts a written prompt as creative context and exposes aspect ratio, generate audio for delivery planning. That makes it suitable for shot-based pipelines where teams must preserve a source, direct a transformation, or control the final format without losing sight of the model's central task. Write prompts as a compact shot plan—subject, action, setting, camera, light, and timing—then use the structured fields for constraints that should remain deterministic across iterations.

Highlights

Scene built from language. No source image is required: the prompt defines subject, action, environment, camera, light, and temporal progression.
Purposeful camera direction. Camera movement can be written directly into the shot prompt alongside action and staging.
Native soundtrack option. generate_audio can request sound as part of the same generated scene.
LTX 2.3 22B format-first generation. Resolution, video size, aspect ratio, duration, or frame count can be fixed before rendering where the schema exposes them. This behavior is exposed on the named 22B route. For lightricks/ltx-2.3-22b/text-to-video, this task-specific control is documented alongside the route’s own required inputs.

Pricing

Billing unit	Price
Base request	`$0.001605`

When to Use

Scenario	Recommendation
Choose this route	Use it when the deliverable specifically calls for text-to-video creation, rather than a neighboring generation mode.
Prepare the source	Provide a precise written brief in the format described by the request schema.
Direct the shot	Describe the subject, action, environment, camera movement, lighting, and temporal progression in that order.
Control continuity	Use endpoint frames, reference media, strength, or audio controls when those fields are available instead of burying hard constraints in prose.
Plan delivery	Set duration, frame count, resolution, and aspect ratio explicitly when the schema exposes them, then compare iterations with a stable seed where supported.

Prompt Guide

For text-to-video creation, describe one coherent shot rather than a list of visual keywords. Put the main subject and action first, follow with location and staging, then add camera movement, lens or framing, lighting, mood, and any timed change. Keep URLs and hard delivery choices in their dedicated fields.

{
  "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.",
  "aspect_ratio": "16:9",
  "generate_audio": true
}

Technical Specs

Specification	Value
Model ID	`lightricks/ltx-2.3-22b/text-to-video`
Required inputs	`prompt`
Execution	Asynchronous generation job
Request controls	3 documented fields
Output	`url`, `content_type`

Request fields

Field	Type and constraints
`prompt`	string; Required
`aspect_ratio`	string; Optional; Options: 16:9, 9:16, 4:3, 3:4, 1:1; Default: "16:9"
`generate_audio`	boolean; Optional; Default: true