StableDiffusion/KohyaSS
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Fix issue 81:

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https://github.com/bmaltais/kohya_ss/issues/81
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bmaltais 2023-01-29 11:17:30 -05:00
parent d45a7abb46
commit 2ec7432440
2 changed files with 4 additions and 2 deletions
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4
README.md
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@ -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:

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tools/cudann_1.8_install.py
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@ -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. ")