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:
- 7ff15621c9eaad7f74b5507ed515441531b252aac73b2402dbca07fbaefbe7a6
- Size of remote file:
- 1.39 MB
- SHA256:
- 63359ceeec1fa042bbe1b64a766988655da3b56d40c9a06f3050436e427d6429
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