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:
- 73c1534eed09a6e884362f87a4db041ed18afb0bd3dae3fdd5d41959abcfddcf
- Size of remote file:
- 57 Bytes
- SHA256:
- b66e0b22489cda010f99e7713aa8d26c4dd4bcf655a758ecf3ff11112cc51b24
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