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:
# !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-v2") - Notebooks
- Google Colab
- Kaggle
Download fingerprint.pb from drmeeseeks/dreambooth_diffusion_model-v2: direct link, hf CLI and curl.
- Browser
- Download file 58 Bytes
-
https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/fingerprint.pb
- Command line
-
hf download hf://drmeeseeks/dreambooth_diffusion_model-v2/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/fingerprint.pb
58 Bytes
- Xet hash:
- e4d4833a187718fc26faf3cd0e58ccbf61b4eee804e20848ebed804956d7a1fe
- Size of remote file:
- 58 Bytes
- SHA256:
- e9bdf2e17be6b5ef86047d9397e420f4facc5568e55830732a1880750106edd1
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