isidentical
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README.md
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- pytorch
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- super-resolution
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# AuraSR
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![aurasr example](https://storage.googleapis.com/falserverless/gallery/aurasr-animated.webp)
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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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```python
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from aura_sr import AuraSR
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aura_sr = AuraSR.from_pretrained("fal-ai/AuraSR")
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```
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```python
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- pytorch
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- super-resolution
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# AuraSR-v2
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![aurasr example](https://storage.googleapis.com/falserverless/gallery/aurasr-animated.webp)
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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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```python
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from aura_sr import AuraSR
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aura_sr = AuraSR.from_pretrained("fal-ai/AuraSR-v2")
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```
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```python
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