can we download the lora we've trained or do we have to stay on the Citivai platform to generate the
can we download the lora we've trained or do we have to stay on the Citivai platform to generate the images?
Fyou can download
Fi downloaded
Fbut civitai default config is not that great
D@Dr. Furkan Gözükara this my speed and memory usage with TE
DWSL was super fast yesterday
D3.5 to 4 it/s
F3.5 to 4 is amazing
Ffor rtx 3090
Fwsl makes huge diff but hard to use for average people
Fi still couldnt find this difference reason it doesnt make sense
Fi compared venv and it is same as linux
Fno diff
Frecording the video 
Fwow i am tired. tutorial recorded 90 minutes without introduction 
F
VIt's fine you can record it later
Fpreparing intro speech
DI trained flux TE 1e04 and unet 1e04 with pictures of me and a friend after 15 epochs all man looked like me on the samples, I think I'm overtraining with too high learning rate, now I'm testing with 5e05 unet and 1e04 TE I leave the TE high to see its effects on the training.
Famazing news
Ftorch 2.4.1 gonna fix slowness on windows
Fmy trainings running
Fi will update config file hopefully once i find best spot
Dmay be with text encoder regularization images can be used
Fyep need to be testedf
Dthe speed es much better now, I restarted the pc I'm with WSL rtx3090
Famazing
Flike 2x of me on windows
Fi hope torch 2.4.1 comes asap
DWSL was not so hard to set up
Fgenerating prompts for showcase
Fit is hard for many
Dwsl -d ubuntu
sudo apt install python3.10-venv
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-key del 7fa2af80
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo apt-get -y install cuda
git clone --recursive https://github.com/bmaltais/kohya_ss.git
chmod +x ./setup.sh
sudo apt update -y
sudo apt install -y python3-tk
sudo apt install software-properties-common -y
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update
sudo apt install python3.10 python3.10-venv python3.10-dev
python3 --version
./gui.sh
git branch
git switch sd3-flux.1
source venv/bin/activate
pip install torch==2.4.0+cu124 --index-url https://download.pytorch.org/whl/cu124
pip install torchvision==0.19.0+cu124 --index-url https://download.pytorch.org/whl/cu124
pip install xformers==0.0.27.post2
./gui.sh
sudo apt install python3.10-venv
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-key del 7fa2af80
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo apt-get -y install cuda
git clone --recursive https://github.com/bmaltais/kohya_ss.git
chmod +x ./setup.sh
sudo apt update -y
sudo apt install -y python3-tk
sudo apt install software-properties-common -y
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update
sudo apt install python3.10 python3.10-venv python3.10-dev
python3 --version
./gui.sh
git branch
git switch sd3-flux.1
source venv/bin/activate
pip install torch==2.4.0+cu124 --index-url https://download.pytorch.org/whl/cu124
pip install torchvision==0.19.0+cu124 --index-url https://download.pytorch.org/whl/cu124
pip install xformers==0.0.27.post2
./gui.sh
GitHub
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Fcode format it
Falso how do you handle file saving setup?
Dthat is the list of commands I used to set it up
DI save it on a txt
Fit probably cant reach your windows folders
Dyes it can
Fi see so its aim is not isolation
D
Fi see what you mean
D
Fi think i may make seperate tutorial for it
Dby default the windows drives are mounted under \wsl.localhost\Ubuntu\mnt
Dthese are my paths on kohya
Dim using my windows folders
Fi see thanks for info
Dyou welcome
Nthis is literally what i've just been trying to do for the last hour lol - thank you so much!! i got the kohya gui to launch, but am getting cuda errors, so i haven't bothered trying since that's the whole point over using native windows lol. i may try, though, wondering how soon torch fix is coming?