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:
- af926cdc3d2bc150545fbac73216a02207f023d0d56687bd6a6f6a61835a4067
- Size of remote file:
- 1.14 MB
- SHA256:
- 0ef89f30e406c9467ba4851b25007418030cbb51b36fbb1f96c69bdec3ed1deb
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