Instructions to use okenk/face2comic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use okenk/face2comic with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("okenk/face2comic") - Notebooks
- Google Colab
- Kaggle
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Download README.md from okenk/face2comic: direct link, hf CLI and curl.
- Browser
- Download file 326 Bytes
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https://huggingface.co/okenk/face2comic/resolve/main/README.md
- Command line
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hf download hf://okenk/face2comic/README.md
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curl -L -o README.md https://huggingface.co/okenk/face2comic/resolve/main/README.md
326 Bytes
| # Face2Comic: A cGAN approaach to cartoonify human portraits | |
| This repo contains the model trained on Google Colab using the free T4 GPU usage. The code and documentation can be accessed to the GitHub repository | |
| Link:- https://github.com/OkenHaha/face2comic-a-cGAN-approach-to-cartoonify-human-potraits | |
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| license: mit | |
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