Ltx 2.3 Lipsync

Ltx 2.3 Lipsync

Playground

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LTX-2.3 Lipsync generates talking head videos from audio with synchronized lip movements and natural facial expressions. Built on DiT-based architecture with improved audio-visual alignment quality. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

LTX-2.3 Lipsync

LTX-2.3 Lipsync is an advanced AI model that generates talking head videos from audio and an optional reference image. Built on the LTX-2.3 DiT-based architecture with improved audio-visual quality, it creates realistic lip-synced videos that match your audio input.


Why Choose This?

  • Improved quality Enhanced audio-visual alignment with better lip sync accuracy and natural facial movements.

  • Audio-driven generation Automatically generates video with synchronized lip movements from audio input.

  • Optional reference image Provide a portrait image to use as the base, or let the model use a default portrait.

  • Flexible resolution Supports 480p, 720p, and 1080p outputs to balance quality and cost.

  • Automatic duration Video length automatically matches audio duration (5-20 seconds).


Parameters

ParameterRequiredDescription
audioYesAudio file URL - duration determines video length (5-20s)
imageNoReference portrait image (optional)
promptNoText prompt to guide generation style and motion
resolutionNoOutput resolution: 480p, 720p (default), or 1080p
seedNoRandom seed for reproducibility (-1 for random)

Resolution Options

ResolutionBest For
480pFast previews, iteration, lowest cost
720pBalanced quality and cost (default)
1080pFinal delivery, maximum detail

How to Use

  1. Upload your audio — the audio track that drives the video (5-20 seconds).
  2. Upload reference image (optional) — a portrait to use as the base character.
  3. Add prompt (optional) — describe the style or motion you want.
  4. Select resolution — 480p for iteration, 720p for balance, 1080p for final output.
  5. Run — submit and download the lip-synced video.

Pricing

Pricing is based on audio duration (automatically detected):

Resolution5s10s15s20s
480p$0.10$0.20$0.30$0.40
720p$0.15$0.30$0.45$0.60
1080p$0.20$0.40$0.60$0.80

Best Use Cases

  • Talking Head Videos — Generate spokesperson videos from audio recordings.
  • Content Localization — Create videos in multiple languages from audio tracks.
  • Virtual Presenters — Generate AI presenters for training, marketing, or education.
  • Audio-to-Video — Convert podcasts or audio content into video format.
  • Character Animation — Bring portraits to life with synchronized speech.

Pro Tips

  • Audio quality directly affects lip sync accuracy - use clear audio.
  • Provide a frontal portrait image for best results.
  • Use prompt to guide facial expressions and style.
  • Iterate at 480p to verify results, then render at higher resolution.
  • Audio duration is automatically detected - no need to specify manually.

Notes

  • Audio duration must be between 5-20 seconds.
  • If no reference image is provided, a default portrait will be used.
  • Video length automatically matches audio duration.

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-2.3/lipsync" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "resolution": "720p",
    "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
audiostringYes--The audio file URL for lip-sync generation. Duration determines video length (5-20 seconds max).
imagestringNo-The reference image for the generation. Optional - if not provided, a default portrait will be used.
promptstringNo-Optional text prompt to guide the generation style and motion.
resolutionstringNo720p480p, 720p, 1080pVideo resolution.
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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