Best Lip Sync
Models selected for syncing speech to a face on video with realistic timing and accurate mouth movement. Useful for narration, dubbing, and character performance where precise alignment matters.
The picks.Audio-driven facial animation
sync-3
Full-scene lip synchronization with global face understanding and obstruction handling
HeyGen Avatar V
High-fidelity avatar video generation with stronger identity consistency and lip sync
KlingAI Avatar 2.0 Pro
High fidelity avatar video generation with smoother motion and quality
KlingAI Avatar 2.0 Standard
Expressive avatar video generation from image and audio
VEED Fabric 1.0
Runware-hosted talking-video generation from image and audio inputs
P-Video-Avatar
High-fidelity talking avatar video generation from a portrait with script or audio control
HappyHorse 1.1
Multimodal video generation with stronger motion expressiveness, multi-image reference consistency, and improved audio-visual sync
Kling VIDEO 3.0 Turbo
Faster multimodal video generation with stronger prompt adherence, multi-shot consistency, and improved lip sync
PixVerse V5.6
Enhanced cinematic video generation with improved lip-sync and audio realism
Common questions
Yes — VEED Fabric 1.0 run on Runware's own optimized compute (the platform's open-weight tier, billed on compute time). Check each model page for license terms before self-hosting.
HappyHorse 1.1, released June 2026 per the live catalog. Membership updates automatically as the catalog publishes new models to this collection.
Production notes
Every price on this page is the model's published rate from the live Runware catalog, using the cheapest listed configuration unless stated otherwise. Prices vary with resolution, duration, quality tier, or token volume, so check the pricing table on each model page before estimating unit economics.
The Runware catalog does not publish per-model latency figures, so this page does not quote end-to-end timings. Where a model's own description commits to speed (for example sub-second generation or realtime streaming), that claim is repeated here. For anything else, benchmark the exact models in the Playground with your own payload sizes before committing to an SLA.
Models are addressed by versioned AIR identifiers, so a workflow pinned to specific model versions keeps producing the same behaviour as new versions ship. Adopt upgrades deliberately by re-running your evaluation set against the new version before switching production traffic.
About this collection
Models selected for syncing speech to a face on video with realistic timing and accurate mouth movement. Useful for narration, dubbing, and character performance where precise alignment matters.
Membership comes directly from the Runware catalog: the 20 models on this page are the live catalog's own membership for the "Best Lip Sync" collection. Names, descriptions, pricing, capability chips, samples, and guides are all read live from the catalog — nothing here is hand-curated.
Model guides.Learn how to use the stack
Backgrounds, framing, and aspect ratios
How to compose what surrounds the avatar in Avatar V output: the background, fit mode, aspect ratio for the target platform, and burned-in captions.
Read the guide →Driving the avatar: text to speech or your own audio
How to choose between Avatar V's two input modes: generate the voice from a script, or drive the avatar with your own recorded audio.
Read the guide →Cinematic shot direction with storyboard prompts
How to write multi-shot storyboard prompts for HappyHorse 1.1 to direct cinematic sequences with shot sizes, camera movement, and subject continuity in a single call.
Read the guide →Casting multiple characters with reference images
How to use HappyHorse 1.1's reference workflow to cast one or more characters into a generated video and preserve their identity through every cut.
Read the guide →Multi-shot reels with the Kling 3.0 Turbo shot template
How to use Kling 3.0 Turbo's inline shot-list syntax to direct multi-shot video reels in a single API call, with shot-by-shot timing and prompt control.
Read the guide →