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LTX-2 19B Distilled

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

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.

Base price
$0.001USD / run
Execution
async
Model type
video
Input fields
4

Try the model

Playground

Open playground
Input
The prompt to generate the video from.
Whether to generate audio for the video.
The seed for the random number generator.
Enter a JSON array.
OutputReady

Your output will appear here

Complete the inputs, then click Run.

Model card

Specifications

Pricing

Base price
$0.001 / run

Context & modalities

Input
Schema-defined
Output
video

Capabilities

Chat
Not supported
Vision
Not supported
Reasoning
Not supported
Structured output
Not supported
Function calling
Not supported
Audio input
Not supported

Access

Provider
Lightricks
Model ID
lightricks/ltx-2-19b/distilled/text-to-video/lora
Execution
async
Base URL
https://api.sandbase.ai
API
Unified Run API
Endpoint
/v1/run

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 unitPrice
Base request$0.001000

When to Use

ScenarioRecommendation
Choose this routeUse it when the deliverable specifically calls for text-to-video creation with custom LoRA adapters, rather than a neighboring generation mode.
Prepare the sourceProvide a precise written brief in the format described by the request schema.
Direct the shotDescribe the subject, action, environment, camera movement, lighting, and temporal progression in that order.
Control continuityUse endpoint frames, reference media, strength, or audio controls when those fields are available instead of burying hard constraints in prose.
Plan deliverySet 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

SpecificationValue
Model IDlightricks/ltx-2-19b/distilled/text-to-video/lora
Required inputsprompt
ExecutionAsynchronous generation job
Request controls4 documented fields
Outputurl, content_type

Request fields

FieldType and constraints
seedinteger; Optional
lorasarray; Optional
promptstring; Required
generate_audioboolean; Optional; Default: true

Related Models

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Production API
Unified Run API endpoint
https://api.sandbase.ai/v1/run
Model ID
lightricks/ltx-2-19b/distilled/text-to-video/lora
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
  -X POST "https://api.sandbase.ai/v1/run" \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'SANDBASE_JSON'
{
  "model": "lightricks/ltx-2-19b/distilled/text-to-video/lora",
  "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.",
  "generate_audio": true
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
  status=$(printf '%s' "$result" | jq -r .status)
  case "$status" in completed|failed|timeout) break ;; esac
  sleep 2
  result=$(curl --fail-with-body --silent \
    -H "Authorization: Bearer $SANDBASE_API_KEY" \
    "https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"

Choose your model

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Questions

FAQ

How do I call Lightricks LTX-2 19B Distilled through SandBase?

Create a SandBase API key, then send requests with the model ID "lightricks/ltx-2-19b/distilled/text-to-video/lora" to Unified Run API (/v1/run) at https://api.sandbase.ai. The request examples on this page show the exact payload.

Do I need a separate Lightricks account?

No. One SandBase API key and balance gives you access to Lightricks LTX-2 19B Distilled and the other models in the catalog; you do not need to sign up with Lightricks separately.