31 lines
1.3 KiB
Python
31 lines
1.3 KiB
Python
# Download all textual inversion models sd-concepts-library
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# https://huggingface.co/sd-concepts-library
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# Make sure to add your username and password below.
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hf_username = ''
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hf_password = ''
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# Install/Setup:
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# pip install huggingface-hub
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# apt update && apt install -y git-lfs
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# mkdir -p /sd-concepts-library/repositories
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from huggingface_hub import HfApi
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import os
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api = HfApi()
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models_list = api.list_models(author="sd-concepts-library")
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print('Downloading', len(models_list), 'models...')
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i = 1
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for model_info in models_list:
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print(f'\nCloning {model_info.modelId} | {i}/{len(models_list)}')
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model_name = model_info.modelId.replace('sd-concepts-library/', '')
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os.system(f'git clone --depth=1 https://{hf_username}:{hf_password}@huggingface.co/{model_info.modelId} repositories/{model_name}') # clone with no git history
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os.system(f'rm -rf repositories/{model_name}/.git*') # delete all git stuff in the repository
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os.system(f'mv repositories/{model_name}/learned_embeds.bin {model_name}.pt') # move the bin file out of the repository and rename it to a .pt file
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i = i + 1
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# Pro-tip: use this command to compress the files with 7zip max compression.
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# 7z a -t7z -m0=lzma2 -mx=9 -mfb=64 -md=32m -ms=on sd-concepts-library_complete.7z sd-concepts-library/
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