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sam__izdat t1_izi6p0a wrote

Reply to comment by Why_Soooo_Serious 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

The repo's README is literally the first link in the post.

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Why_Soooo_Serious t1_izia31z wrote

i did check the repo, but was hoping for an easier to follow -less technical- method, or a colab notebook like the dreambooth ones

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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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[deleted] t1_j0e1sfq wrote

Oh fuck you man some people need more help than others, what a pathetic answer.

Remember you had to start somewhere too

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sam__izdat t1_j0e20q4 wrote

I started by reading the documentation.

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[deleted] t1_j0e29x1 wrote

Yeah so did I but there's a fuckton of knowledge out there and it gets overwhelming and confusing for new people trying to figure it out, what a fucking dick answer to just be like "go look for it yourself"

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sam__izdat t1_j0e2kcd wrote

You don't have to look for it. The documentation is right there.

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