Video-to-Video
Diffusers
Safetensors

Update README.md

#3
by chxy95 - opened
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  1. README.md +42 -9
README.md CHANGED
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- license: apache-2.0
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- pipeline_tag: video-to-video
 
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  library_name: diffusers
 
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  ---
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  <h1 align="center">SwiftVR: Real-Time One-Step Generative Video Restoration</h1>
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  SwiftVR builds on [Wan2.2-TI2V-5B](https://github.com/Wan-Video), the lightweight autoencoder [TAEHV](https://github.com/madebyollin/taehv), and the [RealBasicVSR](https://github.com/ckkelvinchan/RealBasicVSR) degradation pipeline. We thank the authors of [DOVE](https://github.com/zhengchen1999/DOVE), [SeedVR2](https://github.com/ByteDance-Seed/SeedVR), and [FlashVSR](https://github.com/OpenImagingLab/FlashVSR) for releasing strong baselines, and the [UltraVideo](https://github.com/Tele-AI/UltraVideo) team for the training corpus.
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-
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  ## ๐Ÿ“œ License
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- SwiftVR is released under the **Apache License 2.0**.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- Copyright 2026 SwiftVR Authors.
 
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- Licensed under the Apache License, Version 2.0. You may obtain a copy of the License at:
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- https://www.apache.org/licenses/LICENSE-2.0
 
 
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- Unless required by applicable law or agreed to in writing, this project is distributed on an **"AS IS" BASIS**, without warranties or conditions of any kind, either express or implied. See the [LICENSE](./LICENSE) file for the full license text.
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  ## ๐Ÿ“œ Citation
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  If you have any questions, feel free to reach out:
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- * Email: [kakibluee@gmail.com](mailto:kakibluee@gmail.com)
 
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+ license: other
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+ license_name: swiftvr-research-license
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+ license_link: LICENSE
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  library_name: diffusers
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+ pipeline_tag: video-to-video
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  ---
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  <h1 align="center">SwiftVR: Real-Time One-Step Generative Video Restoration</h1>
 
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  SwiftVR builds on [Wan2.2-TI2V-5B](https://github.com/Wan-Video), the lightweight autoencoder [TAEHV](https://github.com/madebyollin/taehv), and the [RealBasicVSR](https://github.com/ckkelvinchan/RealBasicVSR) degradation pipeline. We thank the authors of [DOVE](https://github.com/zhengchen1999/DOVE), [SeedVR2](https://github.com/ByteDance-Seed/SeedVR), and [FlashVSR](https://github.com/OpenImagingLab/FlashVSR) for releasing strong baselines, and the [UltraVideo](https://github.com/Tele-AI/UltraVideo) team for the training corpus.
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  ## ๐Ÿ“œ License
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+ The model weights in this repository are licensed under the
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+ **SwiftVR Research License**. See the [LICENSE](./LICENSE) file.
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+ ### Permitted without separate authorization
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+ - Non-commercial academic research;
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+ - Personal non-commercial research;
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+ - Teaching and education;
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+ - Reproduction of academic results;
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+ - Internal evaluation for determining whether to request a commercial
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+ license.
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+ ### Prior written authorization required
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+ - Use in a commercial product or service;
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+ - Production deployment;
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+ - Customer-facing use;
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+ - Paid API, SaaS, cloud, or hosted services;
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+ - Paid consulting or contract work;
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+ - Processing videos on behalf of customers;
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+ - Commercial redistribution of the model or modified versions;
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+ - Use primarily intended to generate revenue or commercial advantage.
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+ Repository access, model download, email acknowledgement, or informal
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+ communication does not constitute commercial authorization.
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+ For commercial licensing inquiries, contact:
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+ - Email: kakibluee@gmail.com or chxy95@gmail.com
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+ ### Source code
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+ The corresponding SwiftVR source code is separately licensed under
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+ the Apache License 2.0 in the GitHub repository.
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+ ### Historical releases
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+ Historical model versions previously released under the Apache License
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+ 2.0 remain subject to that license. This license does not retroactively
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+ revoke rights validly granted for those historical versions.
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  ## ๐Ÿ“œ Citation
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  If you have any questions, feel free to reach out:
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+ * Email: kakibluee@gmail.com or chxy95@gmail.com