Update README.md

README.md

@@ -1,3 +1,30 @@
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-license: cc-by-sa-4.0
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+# AuraSR
+![aurasr example](https://storage.googleapis.com/falserverless/gallery/aurasr-animated.webp)
+
+GAN-based Super-Resolution for real-world 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.
+
+## Usage
+
+```bash
+$ pip install aura-sr
+```
+
+```python
+from aura_sr import AuraSR
+
+aura_sr = AuraSR.from_pretrained("fal-ai/AuraSR")
+```
+
+```python
+import requests
+from io import BytesIO
+from PIL import Image
+
+def load_image_from_url(url):
+    response = requests.get(url)
+    image_data = BytesIO(response.content)
+    return Image.open(image_data)
+
+image = load_image_from_url("https://mingukkang.github.io/GigaGAN/static/images/iguana_output.jpg").resize((256, 256))
+upscaled_image = aura_sr.upscale_4x(image)
+```