Instructions to use kadirnar/dreambooth_diffusion_model_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kadirnar/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://kadirnar/dreambooth_diffusion_model_v3") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from kadirnar/dreambooth_diffusion_model_v3: direct link, hf CLI and curl.
- Browser
- Download file 20.8 MB
-
https://huggingface.co/kadirnar/dreambooth_diffusion_model_v3/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://kadirnar/dreambooth_diffusion_model_v3@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/kadirnar/dreambooth_diffusion_model_v3/resolve/refs%2Fpr%2F1/saved_model.pb
20.8 MB
- Xet hash:
- ac4b817749bd1e8cbaaef0a8bb76e5674cfaeaa78dc3422836cd113077702f93
- Size of remote file:
- 20.8 MB
- SHA256:
- 8561b9299414cf68a7ac314c49e9a9fe4cdb0116d5d637fd31577b21b7bed19e
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