Instructions to use usbmd/taesdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use usbmd/taesdxl with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("usbmd/taesdxl") - Notebooks
- Google Colab
- Kaggle
wessel-20241107-124716
Browse files- fingerprint.pb +3 -0
- saved_model.pb +3 -0
- variables/variables.data-00000-of-00001 +0 -0
- variables/variables.index +0 -0
fingerprint.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:b66e0b22489cda010f99e7713aa8d26c4dd4bcf655a758ecf3ff11112cc51b24
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size 57
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saved_model.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:5a9189f2378f7b187d5c235373a60fdb18a7971f0fca73acbf9647a25e9d8fe5
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size 5138018
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variables/variables.data-00000-of-00001
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Binary file (19.8 kB). View file
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variables/variables.index
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Binary file (146 Bytes). View file
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