Hello everyone. I am Dr. Furkan Gözükara. PhD Computer Engineer. SECourses is a dedicated YouTube channel for the following topics : Tech, AI, News, Science, Robotics, Singularity, ComfyUI, SwarmUI, ML, Artificial Intelligence, Humanoid Robots, Wan 2.2, FLUX, Krea, Qwen Image, VLMs, Stable Diffusion
morning 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
@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
Hi 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
Hey @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.
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...
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 ...
No I typed wrong , I mean, how can I adjust the details of the enhanced image to make it sharper? Without losing details Refers to my face shape used for training
I liked the hires fix better. For the face trained loras, it definitely worked better with the hires fix than with adetailer. I tried the other adetailer models, but most of the time they made the original result worse. True, I just turned it on by default, not trying to get a better result, but I would think it would work fine by default. But I'll check later to see if I really need a pilot test.
@Dr. Furkan Gözükara hi, I trying to do a training in dreamboth using runpod when I try to put the path of the source directory like "/workspace/768x1024" where my images to be trained is supposed to be I and the click on preprocess I have an error --- Error completing request
files = listfiles(src) File "/workspace/stable-diffusion-webui/modules/textual_inversion/preprocess.py", line 30, in listfiles return os.listdir(dirname) FileNotFoundError: [Errno 2] No such file or directory: '/workspace/768x1024'