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
- Xet hash:
- a5a3b385cae983fb7bcb38ecee789f4aed50878c11d2de83362e3ebaae215598
- Size of remote file:
- 5.14 MB
- SHA256:
- 5a9189f2378f7b187d5c235373a60fdb18a7971f0fca73acbf9647a25e9d8fe5
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