sync-3

Quick reference

What’s new

Previous models processed video in small, independent snippets. sync-3 takes a fundamentally different approach — it builds a global understanding of a person across an entire shot, generating all frames at once rather than stitching together isolated segments.

The result is a generational shift in consistency and realism.

How it works

sync-3 generates from a larger spatial window than any previous model, giving it a much wider field of view around the face. The model can reason about what to generate and what to preserve because it has enough context to understand the full scene.

This means fewer retakes, fewer manual fixes, and the best generation possible in any scenario.

Options not available

The following generation options from previous models are not applicable to sync-3. Their capabilities are either built into the model or handled differently by the new architecture.

Integration

sync-3 is available through the standard Sync Labs API. Pass sync-3 as the model parameter in your generation request.

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from sync import Sync
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from sync.common import Audio, Video
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sync = Sync()
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response = sync.generations.create(
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    input=[
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        Video(url="https://assets.sync.so/docs/example-video.mp4"),
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        Audio(url="https://assets.sync.so/docs/example-audio.wav")
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    ],
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    model="sync-3"
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)

Need to get set up first? See the Quickstart guide for API key creation and SDK installation.

Works with

Also available via ComfyUI and MCP Server for AI-assisted workflows.

How sync-3 compares

sync-3 is the best choice for production-grade video — especially content with close-ups, complex angles, or obstructions. For simpler videos where cost is a priority, lipsync-2 or lipsync-2-pro remain excellent options.

FAQs