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  1. README.md +4 -4
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@@ -20,12 +20,12 @@ tags:
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  <sup>1</sup>Peking University 路 <sup>2</sup>Qwen Business Unit of Alibaba 路 <sup>3</sup>HKUST 路 <sup>4</sup>CUHK 路 <sup>5</sup>Shanghai Jiao Tong University
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  [![Project Page](https://img.shields.io/badge/Project-Page-4d86c4)](https://dagroup-pku.github.io/SEPARATING-WHAT-FROM-WHEN.github.io/)
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- [![GitHub](https://img.shields.io/badge/Code-TCR-24292f?logo=github)](https://github.com/DAGroup-PKU/TCR)
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  [![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97-this%20repo-ffbd2e)](https://huggingface.co/starry0929/Separating-What-From-When)
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  </div>
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- **Temporal Context Routing (TCR)** adds a timing term to text-attention logits so picture and speech are generated as two streams against one shared clock. This repo hosts the released **LoRA** (`separating-what-from-when.safetensors`, ~2.3 GB) and the **200 held-out test prompts** (`test_prompts_200.json`) used in the paper. Training and inference code is at [DAGroup-PKU/TCR](https://github.com/DAGroup-PKU/TCR). Demos: [project page](https://dagroup-pku.github.io/SEPARATING-WHAT-FROM-WHEN.github.io/).
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  ## Files
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  --local-dir ./weights
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  ```
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- Then follow the [TCR README](https://github.com/DAGroup-PKU/TCR#inference):
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  ```bash
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  bash scripts/infer.sh \
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  ## License
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- The LoRA is trained on LTX-2.3 and is intended to be used with that backbone under the [LTX-2 Community License](https://github.com/DAGroup-PKU/TCR/blob/main/LICENSE).
 
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  <sup>1</sup>Peking University 路 <sup>2</sup>Qwen Business Unit of Alibaba 路 <sup>3</sup>HKUST 路 <sup>4</sup>CUHK 路 <sup>5</sup>Shanghai Jiao Tong University
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  [![Project Page](https://img.shields.io/badge/Project-Page-4d86c4)](https://dagroup-pku.github.io/SEPARATING-WHAT-FROM-WHEN.github.io/)
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+ [![GitHub](https://img.shields.io/badge/Code-GitHub-24292f?logo=github)](https://github.com/DAGroup-PKU/SEPARATING-WHAT-FROM-WHEN)
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  [![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97-this%20repo-ffbd2e)](https://huggingface.co/starry0929/Separating-What-From-When)
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  </div>
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+ **Temporal Context Routing (TCR)** adds a timing term to text-attention logits so picture and speech are generated as two streams against one shared clock. This repo hosts the released **LoRA** (`separating-what-from-when.safetensors`, ~2.3 GB) and the **200 held-out test prompts** (`test_prompts_200.json`) used in the paper. Training and inference code is at [DAGroup-PKU/SEPARATING-WHAT-FROM-WHEN](https://github.com/DAGroup-PKU/SEPARATING-WHAT-FROM-WHEN). Demos: [project page](https://dagroup-pku.github.io/SEPARATING-WHAT-FROM-WHEN.github.io/).
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  ## Files
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  --local-dir ./weights
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  ```
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+ Then follow the [code README](https://github.com/DAGroup-PKU/SEPARATING-WHAT-FROM-WHEN#inference):
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  ```bash
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  bash scripts/infer.sh \
 
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  ## License
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+ The LoRA is trained on LTX-2.3 and is intended to be used with that backbone under the [LTX-2 Community License](https://github.com/DAGroup-PKU/SEPARATING-WHAT-FROM-WHEN/blob/main/LICENSE).