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:
# !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://keras-sd/diffusion-model-tflite") - Notebooks
- Google Colab
- Kaggle
Download diffusion_model.tflite from keras-sd/diffusion-model-tflite: direct link, hf CLI and curl.
- Browser
- Download file 864 MB
-
https://huggingface.co/keras-sd/diffusion-model-tflite/resolve/main/diffusion_model.tflite
- Command line
-
hf download hf://keras-sd/diffusion-model-tflite/diffusion_model.tflite
-
curl -L -o diffusion_model.tflite https://huggingface.co/keras-sd/diffusion-model-tflite/resolve/main/diffusion_model.tflite
864 MB
- Xet hash:
- 975a143675b8a7e2a7324ea29364e3f20f98ce03d3f12dbbcbc57c2dba4c95aa
- Size of remote file:
- 864 MB
- SHA256:
- 4854fd5d9751dfb394cfea6867ee821d5bd2d8280e9cae1c851776b28fec84ea
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