Instructions to use keras-dreambooth/keras_diffusion_lowpoly_world with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use keras-dreambooth/keras_diffusion_lowpoly_world with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://keras-dreambooth/keras_diffusion_lowpoly_world") - Notebooks
- Google Colab
- Kaggle
Set `library_name` to `tf-keras`.
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by Wauplin HF Staff - opened
README.md
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language:
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- stable-diffusion
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- text-to-image
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- nature
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license: creativeml-openrail-m
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inference: true
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library_name: keras
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## Model description
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language:
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- en
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library_name: tf-keras
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license: creativeml-openrail-m
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tags:
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- stable-diffusion
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- text-to-image
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- keras-dreambooth
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- nature
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inference: true
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---
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## Model description
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