Instructions to use keras-io/denoising-diffusion-implicit-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/denoising-diffusion-implicit-models with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/denoising-diffusion-implicit-models") - Notebooks
- Google Colab
- Kaggle
Download model.png from keras-io/denoising-diffusion-implicit-models: direct link, hf CLI and curl.
- Browser
- Download file 126 kB
-
https://huggingface.co/keras-io/denoising-diffusion-implicit-models/resolve/3cb8f737c0083640cffc458df6636d50d5a3f008/model.png
- Command line
-
hf download hf://keras-io/denoising-diffusion-implicit-models@3cb8f737c0083640cffc458df6636d50d5a3f008/model.png
-
curl -L -o model.png https://huggingface.co/keras-io/denoising-diffusion-implicit-models/resolve/3cb8f737c0083640cffc458df6636d50d5a3f008/model.png
126 kB

- Xet hash:
- 3f5a7d61f9521512411dd8958c2c98eb5757000bb346000997ff368ec6ad3882
- Size of remote file:
- 126 kB
- SHA256:
- b52de2f11c89e503cdef3ede3cd7a4321640fde77a5d5ecce744f2e96b7f98fb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.