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:
- 1fefd69b3c07db85d9f5e4849ae955ba7bf228cda589f52352d098debed7d4da
- Size of remote file:
- 21.7 MB
- SHA256:
- 3cf0b439bf751a2098acb5ec27328c6707afbd470941f9a3e0cdd37729a14592
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