LTX 2 19B Video LoRA Trainer | Custom Model Training API

LTX-2 19B Video-LoRA Trainer

LTX-2 19B Video-LoRA Trainer is a high-performance custom model training service for the LTX-2 19B video generation model. Train lightweight LoRA (Low-Rank Adaptation) adapters directly from video clips — capturing motion patterns, visual styles, and character appearances for personalized video generation with synchronized audio.

Why Choose This?

Train from videos Upload video clips directly to capture motion dynamics, temporal patterns, and visual styles that static images cannot convey.
Motion learning The trainer learns from video sequences, enabling LoRAs that understand movement, transitions, and temporal consistency.
Character consistency Create LoRAs that maintain character identity and motion style across generated video clips.
Seamless integration Trained LoRAs work directly with LTX-2 Text-to-Video LoRA and Image-to-Video LoRA models.

Training Process

Data Upload Prepare and upload a ZIP file containing your training videos. Include diverse clips that represent the style, character, or motion you want to capture.
Configure Trigger Word Set a unique trigger word (e.g., "p3r5on") that will activate your trained style or character in prompts.
Adjust Training Parameters

steps — Total training iterations (default: 500)
learning_rate — Training speed (default: 0.0002)
lora_rank — Adapter capacity (default: 32)

LoRA Training The system runs a tailored LoRA optimization loop:

Freezes the base model weights
Trains only the low-rank adapter layers
Learns from video sequences for motion-aware adaptation

Model Export After training completes, you receive a LoRA adapter file (.safetensors) compatible with:

Parameters

Parameter	Default	Description
data	—	ZIP file containing training videos (required)
trigger_word	—	Unique word to activate your trained concept
steps	500	Total training iterations
learning_rate	0.0002	Training speed (lower = more stable, higher = faster)
lora_rank	32	Adapter capacity (higher = more detail, larger file)

Pricing

Training Steps	Price (USD)
100	$0.35
500	$1.75
1,000	$3.50
2,000	$7.00

Billing Rules

Base price: $0.35 per 100 steps
Total cost = $0.35 × (steps / 100)
Billed proportionally to the total number of steps in your job

Best Use Cases

Motion Styles — Train on dance videos, action sequences, or specific movement patterns.
Character Animation — Capture how a character moves and behaves across multiple clips.
Brand Videos — Create consistent motion and visual style for marketing content.
Art Styles — Learn animated art styles from reference video clips.

Pro Tips

Use 5-10 diverse video clips that clearly show the style or character you want to capture.
Shorter clips (5-15 seconds) with consistent quality work better than long mixed footage.
Choose a unique trigger word that won't conflict with common words.
Higher lora_rank (32-64) captures more detail but increases training time and file size.
Start with default settings, then adjust if needed.

Try More Trainers

LTX-2 19B IC-LoRA Trainer — Train LoRAs from images for LTX-2 video generation.
Qwen Image 2512 LoRA Trainer — Train LoRAs for Qwen Image text-to-image model.
Z-Image LoRA Trainer — Train LoRAs for Z-Image models.

Guidance

Notes

Higher parameter values (steps, lora_rank) will increase training time.
Training time scales with the number and length of videos configured.
For faster iterations, start with lower settings and increase gradually.
Video-based training captures motion patterns that image-based training cannot.

Ltx 2 19b Video Lora Trainer API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2-19b/video-lora-trainer with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Ltx 2 19b Video Lora Trainer below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2-19b/video-lora-trainer" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "trigger_word": "p3r5on",
    "steps": 500,
    "learning_rate": 0.0002,
    "lora_rank": 32
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/ltx-2-19b/video-lora-trainer", {
        "trigger_word": "p3r5on",
        "steps": 500,
        "learning_rate": 0.0002,
        "lora_rank": 32
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/ltx-2-19b/video-lora-trainer",
    {
    "trigger_word": "p3r5on",
    "steps": 500,
    "learning_rate": 0.0002,
    "lora_rank": 32
}
)

print(output["outputs"][0])  # → URL of the generated output

Ltx 2 19b Video Lora Trainer API — Frequently asked questions

What is the Ltx 2 19b Video Lora Trainer API?

Ltx 2 19b Video Lora Trainer is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. LTX-2 Audio-Video LoRA Trainer lets you train custom LoRA models with synchronized audio-video generation support. Train action, motion, and video effect models by uploading a ZIP file containing videos with optional audio. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Ltx 2 19b Video Lora Trainer API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ltx-2-19b-video-lora-trainer.

How much does Ltx 2 19b Video Lora Trainer cost per run?

Ltx 2 19b Video Lora Trainer starts at $0.35 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Ltx 2 19b Video Lora Trainer accept?

Key inputs: `data`, `learning_rate`, `lora_rank`, `steps`, `trigger_word`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ltx-2-19b-video-lora-trainer.

How long does Ltx 2 19b Video Lora Trainer take to generate?

Average end-to-end generation time on WaveSpeedAI is around 1872 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Ltx 2 19b Video Lora Trainer outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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