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 saved_model.pb from kadirnar/dreambooth_diffusion_model_v1: direct link, hf CLI and curl.
- Browser
- Download file 20.9 MB
-
https://huggingface.co/kadirnar/dreambooth_diffusion_model_v1/resolve/main/saved_model.pb
- Command line
-
hf download hf://kadirnar/dreambooth_diffusion_model_v1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/kadirnar/dreambooth_diffusion_model_v1/resolve/main/saved_model.pb
20.9 MB
- Xet hash:
- 48cd6ec8c4ab2e07a6b313587e7a70d8e9dbbdd4c9dac493f55adf2bf8082422
- Size of remote file:
- 20.9 MB
- SHA256:
- 22332cd6ff4a8d0e61c33ff56fb1c6bab71875fd382b5b97d130eaec36d6288b
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