Text-to-Image
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lora

about the lcm lora base model

#13
by jiangtaozh - opened

I am applying this SDXL LCM-LoRA to waiNSFWIllustrious - a fully fine-tuned model on SDXL base model. the final image style is not consistent with waiNSFWIllustrious originally generated one. My thought:

Base SDXL's path: noise β†’ [step1] β†’ [step2] β†’ ... β†’ [step50] β†’ image
LCM LoRA learns: noise β†’ [shortcut learned from above denoising trajectory] β†’ image
waiNSFWIllustrious's path: noise β†’ [step1'] β†’ [step2'] β†’ ... β†’ [step50'] β†’ image'
↑ Different trajectory!
since The entire denoising trajectory is changed, so we have to distill another LCM-lora on the base model waiNSFWIllustrious, even though waiNSFWIllustrious is fine-tuned out of SDXL. please confirm whether my thought is right or not

i gave up on this a few times - a bit of perseverance and digging through links -

rename this pytorch file to lcm-lora-sdxl.safetensors
then just add that to lora folder
Sampling method must be = LCM !!!!
use cfg 1.5 (higher defaults at 7 dont work)
steps 3 or 4
https://civitai.com/models/195519?modelVersionId=424720

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