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@@ -5,7 +5,7 @@ tags:
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  - pytorch
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  - super-resolution
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  ---
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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.
@@ -19,7 +19,7 @@ $ pip install aura-sr
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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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  ---
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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