i think the latest automatic1111 still broken for training
i think the latest automatic1111 still broken for training
Fyep you have error
Funinstall all python
FYouTubeSECourses
How to install Python, have multiple Python installations, set system wide default Python version. How to compose venv for any Python installation, change Python default path, and install SD web UI properly. Discord: https://bit.ly/SECoursesDiscord.
If I have been of assistance to you and you would like to show your support for my work, please...
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Finstall 3.10.11 as shown in above video
Faccurate. we use older version but that person is following kohya 
Lso, at this point, can i just do a simple dreambooth training? so, that i don't have to go through a python installation process again!!
Fi dont think so none of the scripts will work with your python
Fgive it a try if you wish
LOhho, I see. Understood. I've already these two python version installed in my pc.
Funinstall both
Finstall as shown in video
Finstall into C drive
SGood night guys I’m trying to follow the lora training youtube video for runpod and I want to know what is the code to unzip the images files
Son the same folder as the video
Snever mind I solve it
Vhello Furkan, I only use a few images, about 10 approx, see, out of memory,
J@Dr. Furkan Gözükara I want to know how to train. lora use multi gpu in Ubuntu ? How to set accelerate config ?
Vmorning all, possible to make models or sth under temp folder to gain more ram, for the training notebook? i have tried two notebooks, only 10 pics, all failed ./sdxl_train_network.py FAILED
-----------------------------------------------------
Failures:
<NO_OTHER_FAILURES>
-----------------------------------------------------
Root Cause (first observed failure):
[0]:
time : 2023-10-07_02:51:09
host : 08833fa205ae
rank : 0 (local_rank: 0)
exitcode : -9 (pid: 1097)
error_file: <N/A>
traceback : Signal 9 (SIGKILL) received by PID 1097 i tried, two notebooks, possible to make everything in temp folders? otherwise it is too big, out of ram
-----------------------------------------------------
Failures:
<NO_OTHER_FAILURES>
-----------------------------------------------------
Root Cause (first observed failure):
[0]:
time : 2023-10-07_02:51:09
host : 08833fa205ae
rank : 0 (local_rank: 0)
exitcode : -9 (pid: 1097)
error_file: <N/A>
traceback : Signal 9 (SIGKILL) received by PID 1097 i tried, two notebooks, possible to make everything in temp folders? otherwise it is too big, out of ram
Vaccelerate launch --num_cpu_threads_per_process=2 "./sdxl_train_network.py" --pretrained_model_name_or_path="stabilityai/stable-diffusion-xl-base-1.0" --train_data_dir="/kaggle/working/results/img" --resolution="1024,1024" --output_dir="/kaggle/working/results/model" --logging_dir="/kaggle/working/results/log" --network_alpha="1" --save_model_as=safetensors --network_module=networks.lora --text_encoder_lr=0.0004 --unet_lr=0.0004 --network_dim=32 --output_name="kaggle_flower" --lr_scheduler_num_cycles="8" --no_half_vae --learning_rate="0.0004" --lr_scheduler="constant" --train_batch_size="1" --max_train_steps="1000" --save_every_n_epochs="1" --mixed_precision="fp16" --save_precision="fp16" --cache_latents --optimizer_type="Adafactor" --optimizer_args scale_parameter=False relative_step=False warmup_init=False --max_data_loader_n_workers="0" --bucket_reso_steps=64 --gradient_checkpointing --xformers --bucket_no_upscale --noise_offset=0.0 --lowram, are these settings too big?
Khi
Bwill you share those results in patreon?
DI have the solution for this
Vhello Ihsas, good morning
Vdoes it mean my settings are too big?
Vbecause of no half vae?
Vif so, i do not notice it
S@Dr. Furkan Gözükara Good morning I follow step by step the lora training that you prepare on youtube until the end I have 17 images and I use the regularization woman images but when I try to use the lora nothing happen on the generated images the 17 images are pictures of a woman
Sany advice? with dreamboth is a better way to train? what is the difference
Zanyone got a good starting point for me getting a runpod so i can train an sdxl lora of my face?
JWho knows how to do it?Make the picture clear without losing details?
LAnyone been able to do a face swap and also swap the skin color??
MThis could also be an interesting solution, although I haven't played with it much: https://www.reddit.com/r/StableDiffusion/comments/16vkhrt/how_to_use_ipadapter_controlnets_for_consistent/
It also says here that you should use the IP adapter + face swap (which is ReActor). This way you can create more accurate real reproductions.:
https://www.reddit.com/r/StableDiffusion/comments/16vkhrt/comment/k2tuyfb/?utm_source=reddit&utm_medium=web2x&context=3
It also says here that you should use the IP adapter + face swap (which is ReActor). This way you can create more accurate real reproductions.:
https://www.reddit.com/r/StableDiffusion/comments/16vkhrt/comment/k2tuyfb/?utm_source=reddit&utm_medium=web2x&context=3
Reddit
Explore this post and more from the StableDiffusion community
Reddit
Explore this conversation and more from the StableDiffusion community
Lman it's quite annoying the majority of tutorials, including those here, are done with Automatic1111 GUI instead of with simple jupyter notebooks 
GHi guys, I encountered an error when trying to train with optimizer adam8bit, does anyone have any suggestions how to solve it? Have kohya 21.8.9, Python 30.10.9
error_2.txt11.66KB
EHey @mikemenders , thanks very much for sharing! I'm going to try to test these different options out this week. On that note, it's actually really interesting. Adetailer can be really good if your prompts are a bit simpler, and with certain shape faces and skin tones. If you look at some of my pictures in the "strictly-sfw-image-share channel", with me, it worked very well in most cases. But the more complicated prompts get, or if the person trained has certain features, it starts faltering. Still not terrible, it's definitely better having it than not, but you do start seeing some cracks. I'd be curious to see if the other solutions solve for that.
Fi replied you from patreon
Fyou are missing full fp16
Fyou can use my kaggle video install settings
Fthey auto use
FYouTubeSECourses
If you don't have a strong GPU for Stable Diffusion XL training then this is the tutorial you are looking for. We will use Kaggle free notebook to do Kohya SDXL LoRA training. In this tutorial you will master Kohya SDXL with Kaggle! 
Curious about training Kohya SDXL? Learn why Kaggle outshines Google Colab! We will uncover the power of free Ka...
Curious about training Kohya SDXL? Learn why Kaggle outshines Google Colab! We will uncover the power of free Ka...Fi am sharing on Twitter the results. batch size didn't reduce quality much really good. but uses more vram
FI also updated best workflow files on Patreon for dreambooth : https://www.patreon.com/posts/89213064
Fas i replied from patreon you are missing full fp16
Fdreambooth much better
Fwhat gpu do you have?
F
FYouTubeSECourses
If you don't have a GPU, or have a strong GPU, or you are using Mac and your computer not supporting Stable Diffusion training, SDXL training, then this is the tutorial you are looking for. In this tutorial, we will use a cheap cloud GPU service provider RunPod to use both Stable Diffusion Web UI Automatic1111 and Stable Diffusion trainer Kohya ...
Fyou mean existing picture?
Fjupyter notebooks are harder 
Fdisable caching caching Text Encoder outputs
