Instructions to use fal/AuraSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fal/AuraSR with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fal/AuraSR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# AuraSR
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GAN-based Super-Resolution for
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## Usage
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# AuraSR
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GAN-based Super-Resolution for upscaling generated images, a variation of the [GigaGAN](https://mingukkang.github.io/GigaGAN/) paper for image-conditioned upscaling. Torch implementation is based on the unofficial [lucidrains/gigagan-pytorch](https://github.com/lucidrains/gigagan-pytorch) repository.
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## Usage
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