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:
- addfd96156181f649e193b8a18d5893f20797bb2177f7a498b3e213d9c7ac5af
- Size of remote file:
- 1.35 MB
- SHA256:
- d85d539ca8026c533a0f980195f08784cd41ca6a15ea623d1a0687c64021ec0c
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