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:
- 05b7bc1a97e2ffa4cbc6e8ac13089f72cdb733e7e5b2b3bf1fada19f1a73ba2c
- Size of remote file:
- 1.49 MB
- SHA256:
- 57dc81fb2e26ff66472dfbaca9af1bfe42ca32f224e8739a76e3bf9bedac8a1b
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