it was broken again and was training text encoder 2
it was broken again and was training text encoder 2
M@Furkan Gözükara SECourses have you noticed that style prompts are much harder to do without training the 2nd text encoder ?
Fstylized character output is harder i agree
Finstantid is better actually for stylized outputs
Myeah i noticed that quite a bit
MFwhat generates that? which tool?
Jthx, but what config, what do i need to dl ? not sure
FPatreon
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Fdue to error of bmaltais it was training text encoder 2 with high LR
Fcooking model
AAnyone had trouble loading extracted LORAs in SDWebUI? For some reason generation hangs with extracted Loras, they work in ComfyUI though
Fbest is use kohya
Fto extract lora
Fah you mean extracted lora not working
AYep I use Kohya
Fare you testing sdxl?
AYes
Fok let me test
Ftesting right now
AI used and cuda
Fvs extracted lora
Ffine tuned model
F
Fmy above config worked well no issues
F
FPatreon
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AFor some reason it started working after I re-started WebUI like 5 times
FPatreon
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Dwhats with the different naming across platforms? these supposed to be the same parameters, no?
Fyes all same
Fgood catch you have 
Dbtw a 128/128 extracted Lora will be like a gb per piece, right?
Fit totally depends rank and precision
Flet me check
F128 rank float precision is 2 gb
F128 rank bf16 would be 1 gb
F64 rank bf16 would be 500 mb
Dmost of the time I see it recommended that alpha is half of rank
Falpha is just multiplier of the LR
Fi think it wont matter in this case
DI'm curious, did you do experiments with training images with transparent pngs? no background at all, just purely the subject
Fi didnt for person
Falso tranmsparent becomes white or black
Fdepending on script i think
Fno transparent level exists in stable diffusion
Tactually there is a transparent concept in Forge with layer diffusion, but it is a layer calculation by generation, working great but impossible to import that kind of technique in a lora (for now)
T
Fi know there is 1 model
Fspecifically trained and designed for this