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 inf2.png from drmeeseeks/dreambooth_diffusion_model-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.17 MB
-
https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/inf2.png
- Command line
-
hf download hf://drmeeseeks/dreambooth_diffusion_model-v2/inf2.png
-
curl -L -o inf2.png https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/inf2.png
1.17 MB

- Xet hash:
- 70fc38d9eebdd470838b30b611f6089594a3e87129f7e9240bf6ac3313aeb69b
- Size of remote file:
- 1.17 MB
- SHA256:
- 5e09f8b3c7a315a8623f125d01fafe593d3f0a95058246b82783e801f73e2aae
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