lora
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Train unet and text_encoder separately? (feature request)
Can be useful For low vram, and/or bigger batch sizer and/or fine tuning only one network, maybe?
You can already do this, disabling train_text_encoder will only train the unet, enabling it will train both.
Or perhaps you mean you want to train the text_encoder by itself?
I know that we can train unet alone, I'm asking if theorically we can get some advantages training only the text encoder ;)
Ah got it. That's a pretty easy change, I could do that in a day or so if you want to test it ;-)
Sure thats no problem. I also think that we can update them one at a time, iteratively. This will get the best of both worlds: training both text, unet + small memory
Sure thats no problem. I also think that we can update them one at a time, iteratively. This will get the best of both worlds: training both text, unet + small memory
this is a very good idea too :) still, the ability to train the two networks indipendently.. i think it can be a good source for experiments ;)