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:
- 0fba07622973890e6ecbf3ab7d2e2c68888ab2570e53ec8b78b0de897d376560
- Size of remote file:
- 1.13 MB
- SHA256:
- e6c1f2865f85551a92fb51cac65f9a12043a468f8e5fc5b562d07fcbe91fb340
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