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:
- 406a84fd63bc504e22894e17f323f64bc7abdce27439a217b0fd560b6e24ddb8
- Size of remote file:
- 1.54 MB
- SHA256:
- 127fc79bbbca0e8d997b4171376edcb8a1226bb56db1006fb1b4e13720e6db08
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