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
Hi @Dr. Furkan Gözükara, last year I trained a bunch of SDXL dreambooth models using your Kaggle notebook here: https://www.patreon.com/posts/kohya-sd-1-5-88397937. I'm just getting back into it, but having trouble. Firstly, after cloning https://github.com/FurkanGozukara/kohya_ss, the script sdxl_train.py doesn't seem to exist. I fixed this by updating '!git clone ...' to '!git clone --recursive ...' in the first cell, but the script /kaggle/working/kohya_ss/sd-scripts/sdxl_train.py now crashes with the error message 'RuntimeError: operator torchvision::nms does not exist'. Any ideas on how to fix this? (Patreon user 'Michael Dann' fyi.)
I managed to hack the notebook and get it working by avoiding gradio altogether (just manually creating the input folder structure) so no longer a pressing issue
Hi! Is there already a lesson on recognizing styles? In the lesson on learning Lora ( https://youtu.be/nySGu12Y05k?si=zQscauo48UK54N1F&t=1519) you said you'd do it. Maybe I didn't search well and didn't find it, or maybe there wasn't a lesson yet. Tell me, please, is there a separate lesson on image style recognition? This refers to Lora, which copy the style of different images, rather than the style of one person or object
hI @Dr. Furkan Gözükara my client is ready to accpet current results with 220 images flux dev training ,i sent them the grid ,I have 10 checkpoints ,the client says they want the whole 10 images that is 1 image per checkpoint as the output and they will select the best ,so how to host the whole 10 models on the cloud and it should run 24*7 without my need and the output should be the whole 10 images for each prompt ,whats the method to do this and host it in affordable price.The total size of the 10 models in 240 gb