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

LTX-2 19B IC-LoRA Trainer

LTX-2 19B IC-LoRA Trainer is a high-performance custom model training service for the LTX-2 19B video generation model. It allows you to train lightweight LoRA (Low-Rank Adaptation) adapters for personalized styles, characters, and concepts — bringing your custom visuals into AI-generated videos with synchronized audio.

Why Choose This?

Video LoRA training Train custom adapters specifically optimized for LTX-2's 19B DiT video architecture.
Character consistency Create LoRAs that maintain character identity across generated video clips.
Style personalization Capture specific artistic styles, brand aesthetics, or visual themes for video content.
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 3-10 high-quality, diverse video clips for best results.
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
Applies LTX-2 optimized settings for video generation

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	$0.75
500	$3.75
1,000	$7.50
2,000	$15.00

Billing Rules

Base price: $0.75 per 100 steps
Total cost = $0.75 × (steps / 100)
Billed proportionally to the total number of steps in your job

Best Use Cases

Character LoRAs — Train on character videos to maintain identity across video generations.
Brand Styles — Create custom visual styles for consistent marketing video content.
Art Styles — Capture specific artistic aesthetics for creative video projects.
Motion Patterns — Train on specific movement styles or animation techniques.

Pro Tips

Use 3-10 high-quality, diverse video clips of your subject for best results.
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.
Lower learning_rate is more stable but requires more steps.
Start with default settings, then adjust if needed.

Try More Trainers

Qwen Image 2512 LoRA Trainer — Train LoRAs for Qwen Image text-to-image model.
Z-Image LoRA Trainer — Train LoRAs for Z-Image models with Turbo-compatible optimization.
Flux Dev LoRA Trainer — Train LoRAs for Flux Dev image generation model.

Guidance

Notes

Higher parameter values (steps, lora_rank) will increase training time.
Training time scales with the number of video clips and total steps configured.
For faster iterations, start with lower settings and increase gradually.

Ltx 2 19b Ic Lora Trainer API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2-19b/ic-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 Ic Lora Trainer below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2-19b/ic-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/ic-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/ic-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 Ic Lora Trainer API — Frequently asked questions

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

Ltx 2 19b Ic Lora Trainer is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. LTX-2 IC-LoRA Trainer lets you train custom In-Context LoRA models for video-to-video transformations, including depth/pose adapters, video restoration, and style transfer. Upload a ZIP file containing paired videos to start. 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 Ic 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-ic-lora-trainer.

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

Ltx 2 19b Ic Lora Trainer starts at $0.75 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 Ic 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-ic-lora-trainer.

How do I get started with the Ltx 2 19b Ic Lora Trainer API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Ltx 2 19b Ic 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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