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 inf4.png from drmeeseeks/dreambooth_diffusion_model-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.13 MB
-
https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/inf4.png
- Command line
-
hf download hf://drmeeseeks/dreambooth_diffusion_model-v2/inf4.png
-
curl -L -o inf4.png https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/inf4.png
1.13 MB

- Xet hash:
- 151bee1f5dc7c931d7be9aa0ab040f87562e50d6b3a230fbaeb494872b45a2b9
- Size of remote file:
- 1.13 MB
- SHA256:
- 7c79b1c84b1d37b3708d3df0ebbc246a5028e322fda40c175cf155bd5fb9f226
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