Instructions to use keras-sd/diffusion-model-tflite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use keras-sd/diffusion-model-tflite 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-sd/diffusion-model-tflite") - Notebooks
- Google Colab
- Kaggle
Upload diffusion_model.tflite
Browse files- diffusion_model.tflite +3 -0
diffusion_model.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:90a89b9314c3c11ec02b1b2e51e9fa787bf55c882b68c6a35bde7839910e8bbf
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size 1721677440
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