lightricks/ltx-2-19b/distilled/text-to-video/lora

Name: LTX-2 19B Distilled
Author: Lightricks

Ltx 2 19b Distilled Lora by Lightricks - generate cinematic videos from text descriptions with AI. Create high-quality video content with natural motion, camera control, and optional audio generation.

Input

Prompt(string)

The prompt to generate the video from.

Generate Audio(boolean)

Whether to generate audio for the video.

Seed(integer)

The seed for the random number generator.

Loras(array)

Enter a JSON array.

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-2-19b/distilled/text-to-video/lora

Input Schema

4 parameters · 1 required · 3 optional

Parameter	Type	Required	Description
`prompt`	string	Required	The prompt to generate the video from.
`seed`	integer	Optional	The seed for the random number generator.
`loras`	array	Optional	—
`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-2-19b/distilled/text-to-video/lora",
  "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.",
  "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 19B Distilled

API README

LTX-2 19B Distilled

LTX-2 19B Distilled is a text-to-video creation with custom LoRA adapters endpoint in the LTX 2 19B 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 distilled, LoRA-enabled route keeps that workflow explicit instead of hiding its input assumptions behind a generic video-generation label.

In practice, this route accepts loras as creative context and exposes 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

Prompt-to-scene generation. Builds the shot from written direction, including subject action, environment, lighting, lens language, and pacing.
Synchronized audio path. Audio conditioning or generation is available in the same request, helping sound and picture share one creative plan.
Adapter-based styling. LoRA inputs let teams layer specialized looks or learned concepts onto the base generation path.
Temporal coherence. The LTX 2 19B generation path is designed around continuous motion across a shot, not a collection of unrelated frames.

Pricing

Billing unit	Price
Base request	`$0.001000`

When to Use

Scenario	Recommendation
Choose this route	Use it when the deliverable specifically calls for text-to-video creation with custom LoRA adapters, 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 with custom LoRA adapters, 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.",
  "generate_audio": true
}

Technical Specs

Specification	Value
Model ID	`lightricks/ltx-2-19b/distilled/text-to-video/lora`
Required inputs	`prompt`
Execution	Asynchronous generation job
Request controls	4 documented fields
Output	`url`, `content_type`

Request fields

Field	Type and constraints
`seed`	integer; Optional
`loras`	array; Optional
`prompt`	string; Required
`generate_audio`	boolean; Optional; Default: true