Instructions to use drmeeseeks/dreambooth_diffusion_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use drmeeseeks/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://drmeeseeks/dreambooth_diffusion_model") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 70fc38d9eebdd470838b30b611f6089594a3e87129f7e9240bf6ac3313aeb69b
- Size of remote file:
- 1.17 MB
- SHA256:
- 5e09f8b3c7a315a8623f125d01fafe593d3f0a95058246b82783e801f73e2aae
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