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 inf5.png from drmeeseeks/dreambooth_diffusion_model-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.42 MB
-
https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/inf5.png
- Command line
-
hf download hf://drmeeseeks/dreambooth_diffusion_model-v2/inf5.png
-
curl -L -o inf5.png https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/inf5.png
1.42 MB

- Xet hash:
- 8b1ed2b436113b65622cb33e6e56496fea98bb54e45d628f783101091641f8ee
- Size of remote file:
- 1.42 MB
- SHA256:
- 89f5198d6e38aea004a11e9d77a6184afc852b01034bcec29a5b8a27818548c2
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