Instructions to use drmeeseeks/dreambooth_diffusion_model-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use drmeeseeks/dreambooth_diffusion_model-v2 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-v2") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 06488f8106d07e9944df8915e4f9ca5c137c114f190c60250b4ace59858a3463
- Size of remote file:
- 1.38 MB
- SHA256:
- 3375d1f492fd76116bb032711f112a971e213daffa42a1541f979ce6c5f2ca94
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