johnslegers
johnslegers t1_izexocv wrote
Reply to [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
End result being less than 4MB?
So this means the finetuned content is saved separately?
What if I don't want that? What if I want it to be merged with the model, as is the case for Dreambooth training?
Is there a way to merge the trained concept with the model itself?
johnslegers t1_izh1tue wrote
Reply to comment by PrimaCora 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
Oh, wow, that changes things.
Thanks for the info.
Definitely will need to check out LoRa, then...