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:
- a82449fb5b83227ecc41fda904a71ec799848e9ec36230062cd7921732d6825e
- Size of remote file:
- 56 Bytes
- SHA256:
- e4dbba643c09e86a792be73150b50ea15cae36d6b66dfc81802ea2dc7fa5f1b3
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