Instructions to use drmeeseeks/dreambooth_diffusion_model-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use drmeeseeks/dreambooth_diffusion_model-v3 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://drmeeseeks/dreambooth_diffusion_model-v3") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from drmeeseeks/dreambooth_diffusion_model-v3: direct link, hf CLI and curl.
- Browser
- Download file 21.7 MB
-
https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v3/resolve/main/saved_model.pb
- Command line
-
hf download hf://drmeeseeks/dreambooth_diffusion_model-v3/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v3/resolve/main/saved_model.pb
21.7 MB
- Xet hash:
- 3efd4c7d3851aa02f79418918a4954cd83c88a3c3d96bc496d445fc74d870bc8
- Size of remote file:
- 21.7 MB
- SHA256:
- ad2470616b8a0e0304f19be5000011985e7d44ab9fa2cdbe7c6e83b2d043342d
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