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@@ -35,15 +35,15 @@ Extensive experiments demonstrate that FlowInOne achieves **state-of-the-art per
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  you can download the model weights and model preparation
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  ```bash
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  # model weights
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- wget https://huggingface.co/CSU-JPG/FlowInOne/resolve/main/flowinone_256px.pth
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  # model preparation
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- https://huggingface.co/CSU-JPG/FlowInOne/resolve/main/preparation.tar.gz
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  # unzip
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  tar -xzvf "preparation.tar.gz" -C "/path/to/preparation"
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  ```
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  you can download the dataset examples
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  ```bash
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- https://huggingface.co/CSU-JPG/FlowInOne/resolve/main/flowinone_demo_dataset.tar.gz
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  # unzip
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  tar -xzvf "flowinone_demo_dataset.tar.gz" -C "/path/to/flowinone_demo_dataset"
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  ```
 
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  you can download the model weights and model preparation
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  ```bash
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  # model weights
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+ wget -O /path/to/download https://huggingface.co/CSU-JPG/FlowInOne/resolve/main/flowinone_256px.pth
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  # model preparation
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+ wget -O /path/to/download https://huggingface.co/CSU-JPG/FlowInOne/resolve/main/preparation.tar.gz
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  # unzip
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  tar -xzvf "preparation.tar.gz" -C "/path/to/preparation"
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  ```
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  you can download the dataset examples
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  ```bash
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+ wget -O /path/to/download https://huggingface.co/CSU-JPG/FlowInOne/resolve/main/flowinone_demo_dataset.tar.gz
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  # unzip
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  tar -xzvf "flowinone_demo_dataset.tar.gz" -C "/path/to/flowinone_demo_dataset"
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  ```