Instructions to use drmeeseeks/dreambooth_diffusion_model-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use drmeeseeks/dreambooth_diffusion_model-v2 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://drmeeseeks/dreambooth_diffusion_model-v2") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from drmeeseeks/dreambooth_diffusion_model-v2: direct link, hf CLI and curl.
- Browser
- Download file 861 kB
-
https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://drmeeseeks/dreambooth_diffusion_model-v2/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/keras_metadata.pb
861 kB
- Xet hash:
- 20793a13881c66efbd3319758750b1e71082448ed127874171b4168ec879ceaf
- Size of remote file:
- 861 kB
- SHA256:
- cff7a296a05818286c32f0650b3dd5965419efc977363923babe9df5a6062690
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