diff --git a/README.md b/README.md
index 7c67b16..f165073 100644
--- a/README.md
+++ b/README.md
@@ -81,3 +81,29 @@ Some technical background:
 
 ![](images/cn-sd.png)
 
+## AI Upscaling
+
+Since VRAM on GPUs is limited, use one that fits your need.
+
+### Context-based Upscaling (Suitable on GPUs, Better Quality)
+
+Most universal is [Real-ERSGAN](https://github.com/xinntao/Real-ESRGAN). A1111 already has this and several other upscalers.
+
+### Generic AI Upscaling (Suitable on CPUs, Lower Quality)
+
+Most universal is [EDSR](https://huggingface.co/eugenesiow/edsr-base). Sample python code to run on CPU:
+```
+from super_image import EdsrModel, ImageLoader
+from PIL import Image
+import requests
+
+url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
+image = Image.open(requests.get(url, stream=True).raw)
+
+model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=2)      # scale 2, 3 and 4 models available
+inputs = ImageLoader.load_image(image)
+preds = model(inputs)
+
+ImageLoader.save_image(preds, './scaled_2x.png')                        # save the output 2x scaled image to `./scaled_2x.png`
+ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png')      # save an output comparing the super-image with a bicubic scaling
+```
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