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 inf3_v2.png from drmeeseeks/dreambooth_diffusion_model-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.38 MB
-
https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/inf3_v2.png
- Command line
-
hf download hf://drmeeseeks/dreambooth_diffusion_model-v2/inf3_v2.png
-
curl -L -o inf3_v2.png https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/inf3_v2.png
1.38 MB

- Xet hash:
- 06488f8106d07e9944df8915e4f9ca5c137c114f190c60250b4ace59858a3463
- Size of remote file:
- 1.38 MB
- SHA256:
- 3375d1f492fd76116bb032711f112a971e213daffa42a1541f979ce6c5f2ca94
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