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Open weightsAlibaba Tongyi Lab/10 trustVerified
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VACE

Open all-in-one model for video creation and editing (Wan2.1-VACE).

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About

VACE (Video All-in-one Creation and Editing) is Alibaba Tongyi Lab's unified model for video synthesis, introduced in the arXiv paper of March 11, 2025 and open-sourced in May 2025 as Wan2.1-VACE. It organizes editing, reference, and masking inputs into a unified Video Condition Unit and injects task concepts through a Context Adapter, so one model handles reference-to-video generation, video-to-video editing, and masked editing with performance reported on par with task-specific models.

Alibaba released it in 14B and 1.3B parameter versions on Hugging Face, GitHub, and ModelScope, with the smaller version able to run on consumer-grade GPUs. Practical capabilities include pose transfer, motion and depth control, recolourisation, selective-area add/modify/delete, and spatio-temporal extension of video boundaries. Check the model card for the exact license before commercial use.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

May 15, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

text-to-videovideo-editingimage-to-videoopen-weightscontent-creation

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 85; Trending score 82/100 from researcher assessment.

Sources