update readme

README.md

@@ -10,7 +10,7 @@ PixelNet is a ControlNet model for Stable Diffusion.
 
 It takes a checkerboard image as input, which is used to control where logical pixels are to be placed.
 
-This is currently an experimental proof of concept. I trained this using on around 2000 pixel-art/pixelated images that I generated using Stable Diffusion (with a lot of cleanup and manual curation). The model is not very good, but it does work on grid sizes of about a max of 64 checker "pixels" for square generations. I did find that using 128x64 pattern still seemed to work moderately well for a 1024x512 image.
+This is currently an experimental proof of concept. I trained this using on around 2000 pixel-art/pixelated images that I generated using Stable Diffusion (with a lot of cleanup and manual curation). The model is not very good, but it does work on grid sizes of about a max of 64 checker "pixels" when the smallest dimension is 512. I can successfully get the model to understand 128x128 checkerboards for image generations of at least 1024x1024 pixels.
 
 The model works best with the "Balanced" ControlNet setting. Try using a "Control Weight" of 1 or a little higher.