diff --git a/docs/installation/030_INSTALL_CUDA_AND_ROCM.md b/docs/installation/030_INSTALL_CUDA_AND_ROCM.md
index 68d1f6ed23..1f1f4ee617 100644
--- a/docs/installation/030_INSTALL_CUDA_AND_ROCM.md
+++ b/docs/installation/030_INSTALL_CUDA_AND_ROCM.md
@@ -57,31 +57,26 @@ familiar with containerization technologies such as Docker.
 For downloads and instructions, visit the [NVIDIA CUDA Container
 Runtime Site](https://developer.nvidia.com/nvidia-container-runtime)
 
-### (Optional) Cudnnn Installation for 40 series Optimization*
+### cuDNN Installation for 40/30 Series Optimization* (Optional)
 
-1) Find the InvokeAI folder
-2) Click on .venv folder - e.g., YourInvokeFolderHere\.venv
-3) Click on Lib folder - e.g., YourInvokeFolderHere\.venv\Lib
-4) Click on site-packages folder - e.g., YourInvokeFolderHere\.venv\Lib\site-packages
-5) Click on Torch directory - e.g., YourInvokeFolderHere\InvokeAI\.venv\Lib\site-packages\torch
-6) Click on the lib folder - e.g., YourInvokeFolderHere\.venv\Lib\site-packages\torch\lib
-7) __Copy everything inside the folder as a Backup in whatever folder you want, it's just in case.__
-8) Go to https://developer.nvidia.com/cudnn
-9) Log-in Or Create an account if you're not already connected
-10) Download the latest version
-11) Go to the folder and extract it.
-12) Find the bin folder E\cudnn-windows-x86_64-__Whatever Version__\bin
-13) Copy the 7 dll files
-14) Go Back to YourInvokeFolderHere\.venv\Lib\site-packages\torch\lib
-15) Paste the 7 dll took earlier. It should ask for replacement, accept it.
-16) Enjoy !
+1. Find the InvokeAI folder
+2. Click on .venv folder - e.g., YourInvokeFolderHere\.venv
+3. Click on Lib folder - e.g., YourInvokeFolderHere\.venv\Lib
+4. Click on site-packages folder - e.g., YourInvokeFolderHere\.venv\Lib\site-packages
+5. Click on Torch directory - e.g., YourInvokeFolderHere\InvokeAI\.venv\Lib\site-packages\torch
+6. Click on the lib folder - e.g., YourInvokeFolderHere\.venv\Lib\site-packages\torch\lib
+7. Copy everything inside the folder and save it elsewhere as a backup.
+8. Go to https://developer.nvidia.com/cudnn
+9. Log-in Or Create An account
+10. Download the latest version and extract it from the download location
+12. Find the bin folder E\cudnn-windows-x86_64-__Whatever Version__\bin
+13. Copy and paste the 7 .dll files into YourInvokeFolderHere\.venv\Lib\site-packages\torch\lib **Make sure to copy, and not move the files**
+14. If prompted, replace any existing files 
+
+**Notes:** 
+* If no change is seen or any issues are encountered, follow the same steps as above and paste the torch/lib backup folder you made earlier and replace it. If you didn't make a backup, you can also uninstall and reinstall torch through the command line to repair this folder. 
+* This optimization is  intended for the newer version of graphics card (40/30 series) but results have been seen with older graphics card.
 
-__Very Important: You should Copy everything inside the folder of the torch lib. You do not moove It.__
-*Note: 
-If _no change is seen or a bug appears__ follow the same step instead just copy the Torch/lib back up folder you made earlier and replace it! If you 
-didn't make a backup, you can also uninstall and reinstall torch through the command line to repair this folder.
-This optimization is normally intented for the newer version of graphics card (4th series 3th series) but results have been seen with older graphics card.
-So giving a try could be good.
 
 ### Torch Installation