Replies: 4 comments 5 replies
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Im sorry about that but im glad im not alone in this. Did you see if when you are training it it shows " text_encoder\model.safetensors not found"? while loading everything before any steps? Thats whay i get an my LoRa won't work either. |
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I join your discussion as I also have similar problems when trying to use my Lora on a trained SD 2.1 768 |
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I think I read that Auto1111 does not support SD2.x based LoRA. You need to use kohya's additional extension to use them. |
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I have trained SD 1.5 with no problems in 512x512 and 768x768, but I am having issues with faces in full body images, so I want to train with SD 2.1, however, when I run the training it shows "loss=nan". I have changed AdamW8 to adamw and lowered the training rate as seen in other discussion without success, always "loss=nan". I am using an RTX 3070 with 8GB VRAM |
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I am successful with many trainings with V1-5. Only issue, is that when I train on SD V2 or V2-1 with 768 base images, for training and regularization, the LoRa has no trained content. I have tried several different training parameter options but still no success. Any ideas of why I can't get standard V2-1 model to create a useable LoRa?
I use all of the standard (recommended) settings when creating LoRa's and the only changes moving to V2-1 are selecting the correct "Source Model", "max resolution" to 768,768 and use 768x768 training and regularization images. Zero success so far. Haven't tried V2 base models yet.
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