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 saved_model.pb from drmeeseeks/dreambooth_diffusion_model-v2: direct link, hf CLI and curl.
- Browser
- Download file 21.7 MB
-
https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/saved_model.pb
- Command line
-
hf download hf://drmeeseeks/dreambooth_diffusion_model-v2/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/saved_model.pb
21.7 MB
- Xet hash:
- 1fefd69b3c07db85d9f5e4849ae955ba7bf228cda589f52352d098debed7d4da
- Size of remote file:
- 21.7 MB
- SHA256:
- 3cf0b439bf751a2098acb5ec27328c6707afbd470941f9a3e0cdd37729a14592
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