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- license: apache-2.0
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  language:
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  - en
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  tags:
@@ -134,38 +133,6 @@ LoomVideo supports **four** unified video generation and editing tasks within a
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  # 🔧 Preparation
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- ## Step 1: Clone the Repository
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- ```bash
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- git clone TODO
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- cd LoomVideo
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- ```
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-
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- ## Step 2: Install Dependencies
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- We recommend using [uv](https://github.com/astral-sh/uv) for a fast and fully reproducible environment setup.
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- ```bash
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- uv sync
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- source .venv/bin/activate
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- # (Optional) Include evaluation dependencies
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- uv sync --extra eval
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- ```
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- Additionally, install [Flash Attention](https://github.com/Dao-AILab/flash-attention) for faster inference and reduced GPU memory consumption. (for reference, our environment uses v2.7.4)
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- ## Step 3: Download Model Weights
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- Download the pretrained LoomVideo checkpoint from [Hugging Face](TODO) and place it under `checkpoints/LoomVideo/`:
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- ```
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- checkpoints/LoomVideo/
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- └── gen_model.pth
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- ```
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- You can also specify a custom path via the `--ckpt_path` argument at inference time.
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  # 🎬 Inference
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  LoomVideo provides a unified inference script that supports **four generation tasks** through a single entry point. Each task is selected via the `--task` flag.
 
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  language:
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  - en
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  tags:
 
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  # 🔧 Preparation
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  # 🎬 Inference
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  LoomVideo provides a unified inference script that supports **four generation tasks** through a single entry point. Each task is selected via the `--task` flag.