Instructions to use kadirnar/dreambooth_diffusion_model_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kadirnar/dreambooth_diffusion_model_v1 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://kadirnar/dreambooth_diffusion_model_v1") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from kadirnar/dreambooth_diffusion_model_v1: direct link, hf CLI and curl.
- Browser
- Download file 861 kB
-
https://huggingface.co/kadirnar/dreambooth_diffusion_model_v1/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://kadirnar/dreambooth_diffusion_model_v1/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/kadirnar/dreambooth_diffusion_model_v1/resolve/main/keras_metadata.pb
861 kB
- Xet hash:
- d6350414d900a0ea0f3a509678157ac9726c6206ce3d52db9d6fcf44a2bc55ca
- Size of remote file:
- 861 kB
- SHA256:
- 1566b3c08785151cb70eabee852ae5ed72d523fd41f9a7a90d441af251bd6ee5
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