Update readme

README.md

@@ -44,7 +44,7 @@ A: From my experience SD has a hard time creating genuine pixel art (even with d
 
 Q: Should I use this model with a post-processor?
 
-A: Yes, I still recommend you do post-processing to clean up the image. This model is not perfect and will still have artifacts. Note that none of the sample output images are post-processed; they are raw outputs from the model. Consider sampling the image based on the location of the control grid checker faces. The provided `controlled_downscale.py` script can do this for you. You can take the output of this script (presumably the `--output-downscaled` file) and then run it through a different post-processor (e.g. to refine the color palette).
+A: Yes, I still recommend you do post-processing to clean up the image. This model is not perfect and will still have artifacts. Note that none of the sample output images are post-processed; they are raw outputs from the model. Consider sampling the image based on the location of the control grid checker faces. The provided `controlled_downscale.py` script can do this for you. You can take the output of this script (presumably the `--output-downscaled` file) and then run it through a different post-processor (e.g. to refine the color palette). I only tested the script for a few generated images, so it might still be a bit buggy in the way it computes the sample locations. So for now, compare the output of the script. You may find that supplying an alternative control grid image may be beneficial, or may find that using some alternative post-processing method may be better.
 
 Q: Does the model support non-square grids?