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Updated README
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README.md
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license:
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---
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license: other
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license_name: mixed-mit-and-apache-2.0
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license_link: https://github.com/CompVis/WhatMoves/blob/main/THIRD_PARTY_NOTICES.md
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library_name: pytorch
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pipeline_tag: image-to-video
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tags:
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- motion-representation
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- motion-transfer
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- wan2.2
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---
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# WhatMoves checkpoints
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Released checkpoints for [WhatMoves](https://github.com/CompVis/WhatMoves), a
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promptable model for localized motion representations and transfer.
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| File | Contents |
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|---|---|
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| `what_moves/gated_static_step600000.pt` | Compact inference checkpoint for the WhatMoves motion encoder |
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| `wan/gated_static_step600000/adapter_step30500.pt` | Motion projector and LoRA deltas for Wan2.2 I2V-A14B |
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| `wan/gated_static_step600000/metadata.json` | Architecture, provenance, and SHA-256 metadata |
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The source repository provides the model definitions and Torch Hub entrypoints;
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these files are not intended to be loaded with a generic Diffusers pipeline.
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## Licensing
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This repository contains mixed-license model artifacts:
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- Original WhatMoves parameters are released under the MIT License.
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- The WhatMoves checkpoint incorporates parameters initialized from
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[DINOv2](https://github.com/facebookresearch/dinov2), licensed under Apache
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License 2.0.
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- The motion-transfer adapter is designed to operate over
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[Wan2.2 I2V-A14B](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B), whose code
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and base weights are licensed under Apache License 2.0. The base Wan weights
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are not redistributed here.
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The MIT license does not supersede the licenses or notices of the upstream
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components. See the source repository's `LICENSE`, `THIRD_PARTY_NOTICES.md`,
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and bundled Apache License 2.0 text for the complete notices.
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