Instructions to use kfahn/dreambooth_diffusion_model_mag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kfahn/dreambooth_diffusion_model_mag with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kfahn/dreambooth_diffusion_model_mag") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c1cd29241542f6af96624c30b81923e3caef969a905371acf00d6f9c29229f2
- Size of remote file:
- 20.8 MB
- SHA256:
- 0ba8a12e9311673237644e2f4ae3b680deb0cefcfd021ed029b9895d0d571757
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