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:
- 1ebe5df0012208b8562c8b6c5fec51be088e0e9c6e0e208ca6af36561cc854e1
- Size of remote file:
- 4.92 MB
- SHA256:
- 5f6e3bc2ff5e5a6552f8c832897b1784d70c2076f9cf09771e214c55ab06bf53
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