WaveSpeedAI APIWavespeed AILtx 2 19b Text To Video LoRA

Ltx 2 19b Text To Video LoRA

Ltx 2 19b Text To Video LoRA

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LTX-2 19b Text-to-Video LoRA is the first DiT-based audio-video foundation model with synchronized audio and video generation. This LoRA version supports custom style adapters for personalized video generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

LTX-2 19B Text-to-Video LoRA

LTX-2 Text-to-Video LoRA generates customized videos from text prompts with synchronized audio and full LoRA support. Apply up to 3 custom LoRA adapters for style personalization — perfect for branded content, custom characters, and unique visual styles.

Looking for the standard version? Try LTX-2 19B Text-to-Video without LoRA support.


Why Choose This?

  • LoRA support Apply up to 3 custom LoRA adapters to personalize style, characters, or visual aesthetics.

  • Synchronized audio-video generation Outputs video with matching audio in a single pass — footsteps, ambient sounds, and environmental audio fit the visual content.

  • High-fidelity visuals Leverages a 19B-parameter DiT architecture for detailed, temporally consistent video.

  • Flexible resolution and aspect ratio Supports 480p, 720p, and 1080p in both 16:9 (landscape) and 9:16 (vertical) formats.

  • Variable duration Generate clips from 5 to 20 seconds.


Parameters

ParameterRequiredDescription
promptYesText description of the scene, action, and audio cues
resolutionNoOutput resolution: 480p, 720p (default), or 1080p
aspect_ratioNoOutput format: 16:9 (default) or 9:16
durationNoVideo length in seconds (5-20, default: 5)
lorasNoList of LoRA adapters to apply (up to 3)
seedNoRandom seed for reproducibility (-1 for random)

LoRA Format

Each LoRA in the loras array has:

  • path (required) — URL to the LoRA weights file
  • scale (optional) — Weight multiplier from 0-4, default 1

How to Use

  1. Write your prompt — describe scene, action, style, and audio cues.
  2. Add LoRAs — click ”+ Add Item” to include custom LoRA adapters.
  3. Adjust LoRA scale — use 0.5-1.0 for subtle effects, 1.0-2.0 for stronger influence.
  4. Set resolution and aspect ratio — match your target platform.
  5. Set duration — start short (5s) to test, increase for final renders.
  6. Run — submit and download the generated video.

Pricing

Resolution5s10s15s20s
480p$0.075$0.15$0.225$0.30
720p$0.10$0.20$0.30$0.40
1080p$0.15$0.30$0.45$0.60

Billing Rules

  • Base price: $0.10 (720p, 5 seconds)
  • Resolution multiplier: 480p = 0.75×, 720p = 1×, 1080p = 1.5×
  • Duration: Scales linearly (per 5 seconds)
  • Total cost = duration × $0.10 × resolution_multiplier / 5

Best Use Cases

  • Custom Character Animation — Apply character LoRAs for consistent identity across videos.
  • Brand Content — Use trained LoRAs for consistent brand visual identity.
  • Artistic Styles — Apply style LoRAs for anime, painterly, or other aesthetics.
  • Social Media Content — Create unique vertical (9:16) content with custom styles.

Pro Tips

  • Start with scale 1.0 and adjust up or down based on results.
  • Combine LoRAs carefully — multiple LoRAs can conflict; test combinations.
  • Match LoRA to content — use character LoRAs for character content, style LoRAs for aesthetics.
  • Audio adapts automatically — the model generates appropriate audio even with custom styles.
  • If your LoRA uses trigger words, include them in your prompt.

Notes

  • Maximum video duration is 20 seconds.
  • Up to 3 LoRAs can be applied simultaneously.
  • LoRA version pricing is 25% higher than standard version.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2-19b/text-to-video-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "duration": 5,
    "seed": -1
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
resolutionstringNo720p480p, 720p, 1080pVideo resolution.
aspect_ratiostringNo16:916:9, 9:16Aspect ratio of the video.
durationintegerNo55 ~ 20The duration of the generated media in seconds.
lorasarrayNomax 3 itemsList of LoRAs to apply (max 3).
loras[].pathstringYes-Path to the LoRA model
loras[].scalefloatYes-0.0 ~ 4.0Scale of the LoRA model
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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