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 keras_metadata.pb from drmeeseeks/dreambooth_diffusion_model-v3: direct link, hf CLI and curl.
- Browser
- Download file 861 kB
-
https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v3/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://drmeeseeks/dreambooth_diffusion_model-v3/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v3/resolve/main/keras_metadata.pb
861 kB
- Xet hash:
- 9d14f8b299b2e8bb454b98f3c45e9315e5a3fc0cf12771feec2b5b77e94734c6
- Size of remote file:
- 861 kB
- SHA256:
- d2133be0a8b3b95c18cad5f691f58096c8177ad0aa2808a4562fa07170453256
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