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VACE: All-in-One Video Creation and Editing

Chaojie Mao, Jingfeng Zhang, Yulin Pan, Yu Liu, Zeyinzi Jiang, Zhen Han

VACE unifies reference-to-video generation, video-to-video editing, and masked editing in one diffusion transformer model.

arxiv:2503.07598 v2 · 2025-03-10 · cs.CV

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

the unified model of VACE achieves performance on par with task-specific models across various subtasks. Simultaneously, it enables diverse applications through versatile task combinations.

C2weakest assumption

that the Video Condition Unit and Context Adapter can integrate the requirements of reference-to-video, video-to-video, and masked editing tasks into a single model without performance degradation relative to specialized systems.

C3one line summary

VACE unifies reference-to-video generation, video-to-video editing, and masked video-to-video editing in one Diffusion Transformer framework using a Video Condition Unit for inputs and a Context Adapter for task injection.

References

81 extracted · 81 resolved · 6 Pith anchors

[1] KLING AI, https://klingai.com/ ,
[2] Stable Diffusion v1.5 Model Card, https://huggingface.co/runwayml/stable- diffusion-v1-5, 2022 2022
[3] Stable Diffusion Inpainting Model Card, https://huggingface.co/runwayml/stable- diffusion-inpainting, 2022 2022
[4] Tim Brooks, Aleksander Holynski, and Alexei A. Efros. In- structPix2Pix: Learning To Follow Image Editing Instruc- tions. In IEEE Conf. Comput. Vis. Pattern Recog. , pages 18392–18402, 2023. 2, 3 2023
[5] OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields 2021

Formal links

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Cited by

38 papers in Pith

Receipt and verification
First computed 2026-05-17T23:38:49.529939Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5cc5d2faffb965d4c584d1e8e0df99a4a10d66fda744db74f2cbbc260888bda5

Aliases

arxiv: 2503.07598 · arxiv_version: 2503.07598v2 · doi: 10.48550/arxiv.2503.07598 · pith_short_12: LTC5F6X7XFS5 · pith_short_16: LTC5F6X7XFS5JRME · pith_short_8: LTC5F6X7
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LTC5F6X7XFS5JRME2HUOBX4ZUS \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 5cc5d2faffb965d4c584d1e8e0df99a4a10d66fda744db74f2cbbc260888bda5
Canonical record JSON
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