Instructions to use drmeeseeks/dreambooth_diffusion_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use drmeeseeks/dreambooth_diffusion_model 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") - Notebooks
- Google Colab
- Kaggle
Download fingerprint.pb from drmeeseeks/dreambooth_diffusion_model: direct link, hf CLI and curl.
- Browser
- Download file 59 Bytes
-
https://huggingface.co/drmeeseeks/dreambooth_diffusion_model/resolve/main/fingerprint.pb
- Command line
-
hf download hf://drmeeseeks/dreambooth_diffusion_model/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/drmeeseeks/dreambooth_diffusion_model/resolve/main/fingerprint.pb
59 Bytes
- Xet hash:
- f202f20e2519d62cea46ce71af695e0b2905decdfc361b6abcc9f3f985d3878b
- Size of remote file:
- 59 Bytes
- SHA256:
- ae1670359a5abfb448a7871aef3e2efaad3fa7b98ed41c7b770ff294f24674f3
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