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README.md
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license: apache-2.0
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language:
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- en
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tags:
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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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## 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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---
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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.
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