Instructions to use zeahub/taesdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use zeahub/taesdxl with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("zeahub/taesdxl") - Notebooks
- Google Colab
- Kaggle
Download encoder/saved_model.pb from zeahub/taesdxl: direct link, hf CLI and curl.
- Browser
- Download file 5.11 MB
-
https://huggingface.co/zeahub/taesdxl/resolve/main/encoder/saved_model.pb
- Command line
-
hf download hf://zeahub/taesdxl/encoder/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/zeahub/taesdxl/resolve/main/encoder/saved_model.pb
5.11 MB
- Xet hash:
- 691ba352203e7ff7fe1ee660b41ff1c224ded638f7819cdcf1c19cdd46d943fa
- Size of remote file:
- 5.11 MB
- SHA256:
- ed311b5dff821be8ac415d781bfaf25ed7a179585d921e3e1dfa3743acfe6a18
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