Add some sample output images.

.vscode/settings.json

@@ -2,6 +2,7 @@
   "cSpell.words": [
     "controlnet",
     "creativeml",
+    "Eding",
     "loras",
     "openrail",
     "safetensors",

README.md

@@ -2,15 +2,15 @@
 license: creativeml-openrail-m
 ---
 
-# pixelnet
+# PixelNet (Thomas Eding)
 
-### About"
+### About:
 
-This 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.
+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 generated 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.
 
-### Usage
+### Usage:
 
 To install, copy the `.safetensors` and `.yaml` files to your Automatic1111 ControlNet extension's model directory like (e.g. `sd-webui-controlnet/models`)
 
@@ -18,7 +18,7 @@ There is no preprocessor. Instead, supply a black and white checkerboard image a
 
 The script `gen_checker.py` can be used to generate checkerboard images of arbitrary sizes.
 
-### FAQ
+### FAQ:
 
 Q: Why is this needed? Can't I use a post-processor to downscale the image?
 A: From my experience SD has a hard time creating genuine pixel art (even with dedicated base models and loras), where it has a mismatch of pixel sizes, smooth curves, etc. What appears to be a straight line at a glance, might bend around. This can cause post-processors to create artifacts based on quantization rounding a pixel to a position one pixel off in some direction. This model is intended to fix that.