diff --git a/Troubleshooting.md b/Troubleshooting.md
index 6f911de9..e5be9d60 100644
--- a/Troubleshooting.md
+++ b/Troubleshooting.md
@@ -3,6 +3,8 @@ Common issues and their solutions. If these solutions don't work, please feel fr
 ## Green image generated
 This usually happens if you're running NVIDIA 1650 or 1660 Super. To solve this, please close and run the Stable Diffusion command on your computer. If you're using the older Docker-based solution (v1), please upgrade to v2: https://github.com/cmdr2/stable-diffusion-ui/tree/v2#installation
 
+If you're still seeing this error, please try enabling "Full Precision" under "Advanced Settings" in the Stable Diffusion UI.
+
 ## No module found
 This can happen if you're hitting the Windows file path length limitation. To solve this, please upgrade to v2 by following the installation steps here: https://github.com/cmdr2/stable-diffusion-ui/tree/v2#installation , and ensure that you've placed the `stable-diffusion-ui` folder in `C:` or `D:` (or any top-level location).
 
@@ -25,4 +27,4 @@ After this, you can access the server at `http://localhost:1337` (where 1337 is
 ## RuntimeError: CUDA error: unknown error
 Please ensure that you have an NVIDIA GPU and the latest [NVIDIA driver](http://www.nvidia.com/Download/index.aspx), and that you've installed [nvidia-container-toolkit](https://stackoverflow.com/a/58432877).
 
-Also, if you are using WSL (Windows), please ensure you have the latest WSL kernel by running `wsl --shutdown` and then `wsl --update`. (Thanks [AndrWeisR](https://github.com/AndrWeisR))
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+Also, if you are using WSL (Windows), please ensure you have the latest WSL kernel by running `wsl --shutdown` and then `wsl --update`. (Thanks [AndrWeisR](https://github.com/AndrWeisR))