Instructions to use kailashsp/dreambooth_diffusion_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kailashsp/dreambooth_diffusion_model 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://kailashsp/dreambooth_diffusion_model") - Notebooks
- Google Colab
- Kaggle
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## Model description
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More information needed
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## Intended uses & limitations
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## Training and evaluation data
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## Model description
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This is a Stable Diffusion model fine-tuned using Dreambooth on pokemon
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to get cuter pokemons
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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