Instructions to use kadirnar/dreambooth_diffusion_model_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kadirnar/dreambooth_diffusion_model_v3 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kadirnar/dreambooth_diffusion_model_v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac4b817749bd1e8cbaaef0a8bb76e5674cfaeaa78dc3422836cd113077702f93
- Size of remote file:
- 20.8 MB
- SHA256:
- 8561b9299414cf68a7ac314c49e9a9fe4cdb0116d5d637fd31577b21b7bed19e
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