so i used torch 2 in the install for kohys
so i used torch 2 in the install for kohys
L@Furkan Gözükara SECourses thank you for latest video about Lora. I am trying to generate reg images, but they all look like sketches, not realistic portraits. I am using same model and VAE in video. Any advice?
Z@Lacerda613 what model are you using?
LRealistic vision 2.0, like in the tutorial
DKeep failing. I think my installations are borked, not right for my system/set-up.
Tsame thing happens to me
JAny opinions on captioning for face TI training? Do you structure your captions like "Photograph of a man, wearing a red shirt, white background" - Or do you tend to just have a single string without commas?
JIt occurred to me a while ago that commas carry their own weights, and do have somewhat of an influence on generation
JI guess the logic also applies to training
Idoesnt seem to matter for me
Ithe BLIP uses one long sentence seems to be fine
Ii just confirm they are correct
JSeems like it, I might just go through and delete all of my commas and run the training again, see if I get wildly different results
JThere's some people out there who place a lot of emphasis on captioning, a lot of people say it doesn't matter
Iand its correct 95%+ pretty cool
Ii bet in a couple years youll just be able to give it a few pictures of people and just tell it to make the best movie ever with them
Tyeah, not very useful until then. I have a feeling its gonna have that same vibe that vhs tapes give when you watch them. Instantly recognizable that its stable diffusion.
EI have a quick question. For Lora training. I’m wondering why ohwx has to be used as instance token? If we’re training a person, can’t we just use their first and last name as the instance token, followed by the class token? Or does that not work as well ? (For instance prompt and class prompt I use file words)
Zanyone seen the ai made pizza commercial yet?
MThanks for the kohya video @Furkan Gözükara SECourses you absolute legend. 
FSorry guys I have been away will read messages
FTy so much for the feedback
FYou don't need. () will make prompt strength 1.1
FYe I also found 128 performed best with alpha value 1. I plan to test even higher values
FI would try with same settings and even with higher network rank and compare
FYouTubeSECourses
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FThere is Linux instructions on the github page but I haven't tested yet. I plan to install on runpod and hopefully make a tutorial
FI think dreambooth still better
FI use the default one that comes with automatic1111
FImg2img works great when you use low denoise like 30% and upscale image to like 2x with same prompts
FCan you show above part of the screen
FYou can ignore it
FI was gonna ask this therefore asked above part of screen haha 
FYep. I find that no captions works better for teaching person or a style. Captions I think need for fine tuning
FNot possible atm. It's architecture is different. We need modified script. Kandinsky has training scripts on github but I haven't tested them yet
Zhave you noticed much of a difference between the results from kohya and auto1111?
FIt makes a venv so shouldn't affect your other installations
Iooh shoot can i continue to use 2 or do i need to uninstall everything now
HVery cool, I don’t think my machine can handle kohya training but I will watch
Ihow do you train a lora in auto1111?
FSomething must be wrong. You are using realistic vision v2? With man word?
FVery weird you are using text 2 img?
FI don't use captions for faces. I find that they degrade teaching a person
FThe logic is different. You can watch my this video to understand token logic https://youtu.be/Bdl-jWR3Ukc
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FThank you so much for the amazing comment
FI haven't compared yet but planning to do
FYou can continue. It is just slower. Only important thing is xformers version. Xformers 0.0.16 don't work
Ii have 0.0.18
FYou are welcome. It supports cpu training too. How much vram you had?
FOK it works 
