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:
- db99a6b863f079ecaad46939764216d030e1c1a9d95fff1ed2c7956733e6b6b5
- Size of remote file:
- 1.35 MB
- SHA256:
- 422a6bf8f8665fcb3d0d832d77da63e451039d6396b4043cbf3fb1af78c7e2ba
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