Fix issue 81:

https://github.com/bmaltais/kohya_ss/issues/81

README.md

@@ -2,7 +2,7 @@
 
 This repository repository is providing a Windows focussed Gradio GUI for kohya's Stable Diffusion trainers found here: https://github.com/kohya-ss/sd-scripts. The GUI allow you to set the training parameters and generate and run the required CLI command to train the model.
 
-If you run on linux and would like to use the GUI there is now a port of it as a docker container. You can find the project here: https://github.com/P2Enjoy/kohya_ss-docker
+If you run on Linux and would like to use the GUI there is now a port of it as a docker container. You can find the project here: https://github.com/P2Enjoy/kohya_ss-docker
 
 ## Tutorials
 
@@ -57,7 +57,7 @@ This step is optional but can improve the learning speed for NVidia 30X0/40X0 ow
 
 Due to the filesize I can't host the DLLs needed for CUDNN 8.6 on Github, I strongly advise you download them for a speed boost in sample generation (almost 50% on 4090) you can download them from here: https://b1.thefileditch.ch/mwxKTEtelILoIbMbruuM.zip
 
-To install simply unzip the directory and place the cudnn_windows folder in the root of the kohya_diffusers_fine_tuning repo.
+To install simply unzip the directory and place the `cudnn_windows` folder in the root of the kohya_ss repo.
 
 Run the following command to install:
 

tools/cudann_1.8_install.py

@@ -100,5 +100,7 @@ if os.name == "nt":
                 if os.path.exists(dest_file):
                     shutil.copy2(src_file, cudnn_dest)
             print("Copied CUDNN 8.6 files to destination")
+    else: 
+        print(f"Installation Failed: \"{cudnn_src}\" could not be found. ")