diff --git a/doc/TROUBLESHOOTING.md b/doc/TROUBLESHOOTING.md
index e7e14b3..9105df7 100644
--- a/doc/TROUBLESHOOTING.md
+++ b/doc/TROUBLESHOOTING.md
@@ -11,4 +11,12 @@ See [VRAM](VRAM.md) for more info.
 
 Check the file linked, this is a warning that some of the imags are smaller than the resolution you're using to train.  
 
-The best option is to source the originals again at a higher size. Or you can ignore it, use a high quality upscaler,  remove the images, or reduce the `resolution` you're training.  You might be ok if it is very small percentage of your dataset, but it is something you should check on.
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+The best option is to source the originals again at a higher size. Or you can ignore it, use a high quality upscaler,  remove the images, or reduce the `resolution` you're training.  You might be ok if it is very small percentage of your dataset, but it is something you should check on.
+
+### Errors with PIL
+
+Run this script to check images if your training crashes and PIL or you get any errors that seems image related:
+
+`python scripts/check_images.py --data_root "C:\my_training_data"`
+
+This will help identify invalid or malformatted images.  You can then try using a typical image editor (Photoshop, Gimp, Paint.net, etc.) to fix them, or simply delete them.
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