Introducing WaveSpeedAI LTX 2.3 LipSync on WaveSpeedAI

The Next Generation of AI Lip Sync Is Here: LTX-2.3 Lipsync

Creating realistic talking head videos from audio has never been easier—or looked this good. We’re excited to announce LTX-2.3 Lipsync on WaveSpeedAI, the latest evolution of Lightricks’ audio-driven video generation model. Built on the upgraded LTX-2.3 DiT architecture, this model delivers noticeably sharper visuals, more accurate lip synchronization, and cleaner audio-visual alignment compared to its predecessor.

Whether you’re building virtual presenters for corporate training, localizing marketing videos across dozens of languages, or converting podcast audio into engaging video content, LTX-2.3 Lipsync makes it possible through a simple API call—with no cold starts and pricing that starts at just $0.10 per generation.

What Is LTX-2.3 Lipsync?

LTX-2.3 Lipsync is an advanced AI model that generates talking head videos from an audio file and an optional reference portrait image. Feed it a speech recording, and it produces a video with precisely synchronized lip movements, natural head motion, and contextually appropriate facial expressions.

The model builds on Lightricks’ LTX-2.3 foundation—a Diffusion Transformer (DiT) architecture that generates video and audio together in a unified pipeline. Unlike older lip-sync approaches that bolt mouth animations onto static faces as a post-processing step, LTX-2.3 understands the deep relationship between speech and visual movement. The result is video that doesn’t just match lip shapes to phonemes, but captures the subtle head tilts, brow movements, and expression shifts that make human speech look natural.

The 2.3 release introduces a redesigned VAE that produces sharper fine details and more realistic textures, improved motion consistency that eliminates the static or jittery artifacts of earlier models, and a gated attention text connector for better prompt adherence. These aren’t incremental tweaks—they represent meaningful quality improvements visible in every frame.

Key Features

Improved Audio-Visual Alignment: The upgraded architecture delivers more precise lip synchronization with cleaner phoneme matching across languages and speaking styles
Sharper Visual Quality: A new VAE produces crisper facial features, more realistic skin textures, and cleaner edges throughout the video
Audio-Driven Generation: Upload an audio file and the model handles everything—lip sync, head movement, blinking, and facial expressions—automatically
Optional Reference Image: Provide a portrait to define your speaker’s appearance, or let the model generate one using its default
Flexible Resolution: Choose 480p for fast iteration, 720p for balanced quality, or 1080p for production-ready output
Automatic Duration Matching: Video length automatically matches your audio input, supporting clips from 5 to 20 seconds
Prompt-Guided Style: Use optional text prompts to influence facial expressions, lighting, and overall style of the generated video

Real-World Use Cases

Marketing and Brand Content

AI talking head videos are transforming how marketing teams operate. Companies like Stellantis Financial Services and Sonesta Hotels have reported cutting video production costs by 60–80% using AI-generated presenters. With LTX-2.3 Lipsync, you can create consistent spokesperson videos for product launches, social campaigns, and personalized outreach—then regenerate them in new languages without reshooting a single frame.

Corporate Training and E-Learning

The enterprise learning market is rapidly adopting AI video for scalable training content. LTX-2.3 Lipsync lets instructional designers produce presenter-led training videos from scripts alone. Update course content by simply re-recording the audio—no studio time, no scheduling conflicts, no production delays. A single reference image can become the consistent face of an entire training program.

Content Localization and Dubbing

Global businesses need content in multiple languages. Traditional dubbing is expensive and time-consuming. With LTX-2.3 Lipsync, you can take an existing audio track in any language and generate a matching talking head video with accurate lip movements for that language. The model handles the differences in mouth shapes and speech patterns across languages automatically.

Podcast and Audio-to-Video Conversion

Video consistently outperforms audio-only content on social platforms. Convert podcast clips, narration, or voiceover recordings into engaging talking head videos that capture attention in feeds. This is particularly valuable for repurposing long-form audio content into short-form video clips for platforms like YouTube Shorts, TikTok, and Instagram Reels.

Accessibility

Generate visual speech content for hearing-impaired viewers, create narrated explainer videos with clear visual speech cues, or produce supplementary visual materials for audio-first educational content.

Getting Started on WaveSpeedAI

Integrating LTX-2.3 Lipsync into your workflow takes just a few lines of code:

import wavespeed

output = wavespeed.run(
    "wavespeed-ai/ltx-2.3/lipsync",
    {
        "audio": "https://your-audio-url.com/speech.mp3",
        "image": "https://your-image-url.com/portrait.jpg",
        "resolution": "720p"
    },
)

print(output["outputs"][0])  # Output video URL

The API is straightforward:

audio (required): URL to your audio file—this drives the generation and determines video length
image (optional): URL to a reference portrait that defines the speaker’s appearance
prompt (optional): Text guidance for expression style and visual tone
resolution (optional): 480p, 720p (default), or 1080p

Transparent, Affordable Pricing

Pricing scales with audio duration and resolution:

Resolution	5 seconds	10 seconds	15 seconds	20 seconds
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

No subscriptions, no minimum commitments. Pay only for what you generate.

Tips for Best Results

Start at 480p: Iterate on your audio and reference image at the lowest resolution to find the right look quickly, then render your final version at 720p or 1080p.
Use Clean Audio: Clear speech with minimal background noise produces the best lip sync accuracy. Pre-process noisy recordings before submitting them.
Choose Front-Facing Portraits: Reference images with a clearly visible face, neutral expression, and good lighting yield the most natural results.
Guide With Prompts: Use the optional prompt parameter to influence expression and style—for example, “warm smile, professional lighting” or “serious tone, direct eye contact.”
Segment Longer Content: For content beyond 20 seconds, generate multiple clips and stitch them together in post-production. Keep each segment under 20 seconds for optimal quality.

Why WaveSpeedAI?

Running LTX-2.3 Lipsync on WaveSpeedAI gives you infrastructure advantages that matter in production:

No Cold Starts: Requests begin processing immediately—no waiting for GPUs to warm up
Fast Inference: Optimized serving infrastructure delivers results quickly for rapid iteration
Simple REST API: Add talking head generation to any application with minimal integration effort
Predictable Costs: Transparent per-generation pricing with no hidden fees

Start Building Today

LTX-2.3 Lipsync represents a significant leap in audio-driven video generation quality. The combination of improved visual fidelity, more accurate lip synchronization, and the practical flexibility of prompt-guided generation makes it one of the most capable lip-sync models available through an API today.

Ready to create your first talking head video? Try LTX-2.3 Lipsync on WaveSpeedAI and see the difference for yourself.