TF-Keras
TensorBoard
ImageGeneration
GauGAN
GAN
spatially-adaptive normalization
Encoder
Segmentation-maps
Instructions to use keras-io/GauGAN-Image-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/GauGAN-Image-generation 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/GauGAN-Image-generation") - Notebooks
- Google Colab
- Kaggle
Download model.png from keras-io/GauGAN-Image-generation: direct link, hf CLI and curl.
- Browser
- Download file 1.22 kB
-
https://huggingface.co/keras-io/GauGAN-Image-generation/resolve/main/model.png
- Command line
-
hf download hf://keras-io/GauGAN-Image-generation/model.png
-
curl -L -o model.png https://huggingface.co/keras-io/GauGAN-Image-generation/resolve/main/model.png
1.22 kB

- Xet hash:
- 47d02dbb230ad7c4340b6065d4356f565a227bad01787764e6a7025c582f3e93
- Size of remote file:
- 1.22 kB
- SHA256:
- 623cb26084e5c5d2c125ebb12102a6d41ef6fad2f21f0b2fe8dbc537dcdf739c
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