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:
- 151bee1f5dc7c931d7be9aa0ab040f87562e50d6b3a230fbaeb494872b45a2b9
- Size of remote file:
- 1.13 MB
- SHA256:
- 7c79b1c84b1d37b3708d3df0ebbc246a5028e322fda40c175cf155bd5fb9f226
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