Why_Soooo_Serious t1_izia31z wrote
Reply to comment by sam__izdat in [P] Using LoRA to efficiently fine-tune diffusion models. Output model less than 4MB, two times faster to train, with better performance. (Again, with Stable Diffusion) by cloneofsimo
i did check the repo, but was hoping for an easier to follow -less technical- method, or a colab notebook like the dreambooth ones
sam__izdat t1_iziau6e wrote
What are you having trouble following? I'm not trying to be rude, but it's already a -less technical- method because HF's diffusers and accelerate stuff will download everything for you and set it all up. I rather it was a little more technical, because it's a bit of a black box.
I was having problems with unhelpful error messages until I updated transformers. I'm still having CUDA illegal memory access errors at the start of training, but I think that's because support for old Tesla GPUs is just fading -- had the same issue with new pytorch trying to run any SD in full precision.
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