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
@Dr. Furkan Gözükara downloading juggernautxl to workspace to make a LoRA on kaggle worked. however also learned that juggernautxl seems to respond better to a person LoRA made with SDXL than one trained on juggernautxl
I am using kaggle and I notice the default path to the model is stabilityai/stable-diffusion-xl-base-1.0 - I don't really know where this stabilityai folder is... if I use the huggingface API to upload a model from huggingface to kaggle should I save it under /kaggle/input/ folder and use that as the 'Pretrained model name or path' to the model in kohya GUI?
I have moy model on huggingface, wondering how I can upload it, the info I have is I need to download it from hugging face into the kaggle as a dataset, or is there a better way to do this?
I see, if I have a private model on huggingface, whats the best way to import it to kaggle if I want to reference it in the kohya GUI? do I need to upload it as a dataset in Kaggle? is there a way to get the notebook to use huggingface API to download it to kaggle directly? I want to train my private model from huggingface not the default one
if you want to use it often it makes sense to upload it as a dataset in kaggle, as you don't need to redownload it all the time. I can't recall if I'm right, but I think used kaggle datasets are also not using storage from the kaggle disk.
hm ok, I think to upload locally it requires 2 steps, upload to kaggle working directory and then a seperate step to add it to dataset. I just noticed dataset has an option to upload via URL so seemed a more direct route