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Open-weight model · Image to video

ProAR

by Shen Linghui LinghuiShen/ProAR

ProAR is an open-weight model for image to video from Shen Linghui, released under Apache License 2.0. Its published files total 368.5 GB.

ProAR solves reasoning tasks by autoregressively generating a sequence of visual states. It equips autoregressive video models with two complementary components: - Outcome Guidance predicts a future goal frame to guide current-chunk generation.

Parameters—
Context—
Weights368.5 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Shen Linghui, published under apache-2.0, revision 1e76b16e1a47.

ProAR solves reasoning tasks by autoregressively generating a sequence of visual states. It equips autoregressive video models with two complementary components: - Outcome Guidance predicts a future goal frame to guide current-chunk generation. - Transition Guidance aligns the current representation with the clean next-chunk representation during training. ProAR is built upon Wan2.2-TI2V-5B. hf download LinghuiShen/ProAR \ --local-dir checkpoints/ProAR

Read Shen Linghui's full model card

ProAR: Learning Prospective Reasoning with Autoregressive Video Models

ProAR solves reasoning tasks by autoregressively generating a sequence of visual states. It equips autoregressive video models with two complementary components:

  • Outcome Guidance predicts a future goal frame to guide current-chunk generation.
  • Transition Guidance aligns the current representation with the clean next-chunk representation during training.

ProAR is built upon Wan2.2-TI2V-5B.

Model Zoo

Dataset Model Checkpoint Training step
VBVR-10Tasks AR vbvr-10tasks/ar/model.pt 10,000
VBVR-10Tasks ProAR vbvr-10tasks/proar/model.pt 10,000
VideoRLVR-3Tasks AR videorlvr-3tasks/ar/model.pt 5,000
VideoRLVR-3Tasks ProAR videorlvr-3tasks/proar/model.pt 5,000
WorldArena AR worldarena/ar/model.pt 10,000
WorldArena ProAR worldarena/proar/model.pt 10,000

Download

Download all released checkpoints:

```bash hf download LinghuiShen/ProAR \ --local-dir checkpoints/ProAR

Identity and Version

Repository
LinghuiShen/ProAR
Publisher
Shen Linghui
Task
Image to video
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
1e76b16e1a476640cc71991bf987e73133ec5b5e
First published
2026-09-29
Last updated
2026-10-02

Files and Weights

8 files, 368.5 GB in total. The weights are 6 files totalling 368.5 GB in pt.

Weights6 files · 368.5 GB
Documentation1 file · 1.8 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
vbvr-10tasks/ar/model.ptWeights60.0 GB 8487d33941b2
vbvr-10tasks/proar/model.ptWeights62.8 GB 7f3701681967
videorlvr-3tasks/ar/model.ptWeights60.0 GB e91ffc1e04b1
videorlvr-3tasks/proar/model.ptWeights62.8 GB c6d6e9507bcb
worldarena/ar/model.ptWeights60.0 GB b769f97a422c
worldarena/proar/model.ptWeights62.8 GB eaf0754f4b76
README.mdDocumentation1.8 KB —
.gitattributesRepository1.5 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
368.5 GB
Download from Shen Linghui

Released by Shen Linghui through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published368.5 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About ProAR

Can I use ProAR commercially?

Yes. ProAR is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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