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:
- 8b1ed2b436113b65622cb33e6e56496fea98bb54e45d628f783101091641f8ee
- Size of remote file:
- 1.42 MB
- SHA256:
- 89f5198d6e38aea004a11e9d77a6184afc852b01034bcec29a5b8a27818548c2
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