LTX-2-19B LipSync generates a realistic talking video by synchronizing a person’s mouth movements to an input audio clip. It preserves facial identity, head position, lighting, and natural expressions while producing accurate lip motion, subtle blinking, and stable temporal consistency. Ideal for avatars, dubbing, dialogue replacement, and character narration.
About this model
LTX-2-19B LipSync is a cutting-edge audio-to-video model that generates realistic talking videos by synchronizing a subject's lip movements to an input audio clip. Leveraging advanced deep learning techniques, this model ensures that facial identity, head positioning, ambient lighting, and natural expressions are preserved while delivering ultra-accurate lip sync performance. The technology behind LTX-2-19B is designed to maintain subtle details like blinking and gentle head motion, resulting in videos with remarkable temporal consistency and realism.
Ideal for tasks such as avatar creation, dialogue replacement, dubbing, and character narration, LTX-2-19B LipSync bridges the gap between static images and dynamic storytelling. Its ability to produce lifelike videos at a competitive cost of $0.2 per generation makes it a standout solution for creatives and developers seeking state-of-the-art performance without compromising on quality. The model’s versatile capabilities and robust technical foundation set a new standard in audio-driven video synthesis.
Cost analysis
| Provider | Cost | Notes |
|---|---|---|
| muapiapp | $0.2 per generation | muapiapp is 20-50% more affordable than its competitors while delivering comparable or superior quality. |
| Fal.ai | $0.3 per generation | muapiapp is approximately 33% cheaper, offering better value without compromising on performance. |
| Replicate | $0.3 per generation | With muapiapp cost-effectiveness being 20-50% lower, it provides a competitive edge in both quality and pricing. |
muapiapp is 20-50% more affordable than its competitors while delivering comparable or superior quality.
muapiapp is approximately 33% cheaper, offering better value without compromising on performance.
With muapiapp cost-effectiveness being 20-50% lower, it provides a competitive edge in both quality and pricing.
* Competitor pricing is estimated based on similar model architectures and usage tiers.
Configuration schema
| Parameter | Type | Description | Default |
|---|---|---|---|
| Prompt | string | The prompt to generate the video | Animate natural lip-sync to the provided audio, add subtle blinking and gentle head motion, maintain the original lighting and facial identity, keep the performance realistic and stable. |
| Image URL | string | URL of the input image. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/ltx-2-19b-lipsync.jpg |
| Audio URL | string | The URL for uploading audio files. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/ltx-2-19b-lipsync.wav |
| Resolution | Enum (3 options) | The resolution of the generated video. | 720p |
The prompt to generate the video
Animate natural lip-sync to the provided audio, add subtle blinking and gentle head motion, maintain the original lighting and facial identity, keep the performance realistic and stable.URL of the input image.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/ltx-2-19b-lipsync.jpgThe URL for uploading audio files.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/ltx-2-19b-lipsync.wavThe resolution of the generated video.
720pDeveloper documentation
Step 1: Prepare Your Inputs
Step 2: Submit Your Request
ltx-2-19b-lipsync) to submit the input JSON data. Ensure that the audio_url field is included as it is mandatory for generating the video.Step 3: Interpret the Results
Step 4: Iterate if Necessary
Frequently asked
The model generates realistic talking videos by synchronizing lip movements with an input audio clip while preserving facial identity, head position, lighting, and natural expressions.
The only mandatory field is the `audio_url`. However, providing an `image_url` and a detailed `prompt` enhances the video’s realism by specifying desired movements and expressions.
The model supports three resolutions: 480p, 720p (default), and 1080p.
The model employs advanced deep learning techniques that maintain temporal consistency, accurate lip motion, subtle blinking, and natural head movements, ensuring high fidelity and lifelike video outputs.