Update README.md

README.md

@@ -15,5 +15,8 @@ Based on my personal experience, preparing a LoRA's dataset properly is more imp
    3. Upscale all low-resolution images to at least 2k resolution. But why? Let's see an example:  
       We have two identical png images, one with 907x823 pixels, the other with 3624x3288 pixels using simple 4x-upscale from SD WebUI.
       <img src="imgs/upscale/comp.png"/>
-      Now we will crop them into roughly 1k resolution using SD WebUI's _Auto-size Crop_:
-      <img src=""/>
+      Now we will crop them into roughly 1k resolution (960x832 in this case) using SD WebUI's Auto-size Crop:
+      <img src="imgs/upscale/cut-comp.png"/>
+      See the differences? The image with 4x-upscale has a sharper edges comparing to the one without any upscale, and hence looks more clean and less blurry when getting cropped into 1k resolution.  
+      So what does it translate to LoRA learning? 
+