Instructions to use kfahn/dreambooth_diffusion_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kfahn/dreambooth_diffusion_model 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af34551c7e3e52e0c32a13c440094fc58132f793b798f3b950a5b1637360dbd3
- Size of remote file:
- 56 Bytes
- SHA256:
- e766539aa52987084f565861750b8a27c4de372b4a5c53f67a399821725d876c
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