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LatentSync ByteDance

LatentSync ByteDance

LatentSync ByteDance is a diffusion-based video editing framework that enables precise, motion-consistent local edits while preserving global content and temporal coherence across frames.

Paid
From $4/mo
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LatentSync by ByteDance is an open-source framework designed to synchronize multiple diffusion models within a shared latent space, enabling coordinated multi-object generation and editing. It operates by aligning the denoising trajectories of separate diffusion processes so that objects, views, or modalities remain structurally and semantically consistent across outputs. The tool supports a range of tasks, including multi-object image generation, consistent character or object appearance across different scenes, and synchronized edits across related images.

LatentSync offers modular components for defining synchronization constraints, such as geometric relationships, spatial layouts, or temporal coherence, which can be flexibly combined to suit different applications. It is implemented in PyTorch and integrates with common diffusion backbones, making it straightforward to adapt to existing pipelines.

Tags

multi-model diffusion synchronizationlatent space alignmentconsistent multi-view image generationgenerative AI researcherssynchronized diffusion framework

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