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  license: mit
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- anywefadoor
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: mit
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+ anywefadoor
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+
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+ ## Installation
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+
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+ various necesary libs to install via apt will reveal themselves depending on hardware. libxext and others after the conda install and run first time.
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+
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+ Install with `conda`:
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+ ```bash
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+ conda env create -f environment.yaml
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+ conda activate anydoor
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+ ```
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+ or `pip`:
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+ ```bash
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+ pip install -r requirements.txt
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+ ```
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+ Additionally, for training, you need to install panopticapi, pycocotools, and lvis-api.
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+ ```bash
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+ pip install git+https://github.com/cocodataset/panopticapi.git
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+
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+ pip install pycocotools -i https://pypi.douban.com/simple
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+
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+ pip install lvis
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+ ```
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+ ## Download Checkpoints
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+ Download WefaDoor checkpoint:
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+ * [HuggingFace](https://huggingface.co/thisisAce/ADOOR_ACE/blob/main/models/adbase-step%3D41250.ckpt)
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+
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+
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+ Download DINOv2 checkpoint and revise `/configs/anydoor.yaml` for the path (line 83)
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+ * URL: https://github.com/facebookresearch/dinov2?tab=readme-ov-file
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+
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+ Download Stable Diffusion V2.1 if you want to train from scratch.
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+ * URL: https://huggingface.co/thisisAce/ADOOR_ACE/blob/main/models/dinov2_vitg14_pretrain.pth