Instructions to use keras-dreambooth/keras_diffusion_lowpoly_world with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use keras-dreambooth/keras_diffusion_lowpoly_world with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://keras-dreambooth/keras_diffusion_lowpoly_world") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from keras-dreambooth/keras_diffusion_lowpoly_world: direct link, hf CLI and curl.
- Browser
- Download file 20.8 MB
-
https://huggingface.co/keras-dreambooth/keras_diffusion_lowpoly_world/resolve/main/saved_model.pb
- Command line
-
hf download hf://keras-dreambooth/keras_diffusion_lowpoly_world/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/keras-dreambooth/keras_diffusion_lowpoly_world/resolve/main/saved_model.pb
20.8 MB
- Xet hash:
- 1002103e59a6c42928c08b739a03de7a56c89e095711db9cae205f28e71f58fc
- Size of remote file:
- 20.8 MB
- SHA256:
- eec8934520fdb0405f39f9db715af2df9d1b0c16cad7504140735d4d3af5ee36
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