it's under the extras tab
it's under the extras tab
Zyou can use any of the remove background types, return mask will give you an alpha mask, alpha matting allows you to customize how close it gets to the outline
Zfor the embedding inspector, i know you want loss to stay under 0.2, but what about magnitude?
Zor is it different for every data set?
Fit is different for every dataset. best way is checkpoint comparison
Zdoing the xyz plot, is there a way to do multiple textual inversions as well as cfg?
Fyou want to use more than 1 in 1 run?
Fyes you can do with s/r prompt
Zwell what's the best way to compare multiple textual inversions
Zcause i see a couple that have images that are really close
Fyou want to compare checkpoints right?
Znot checkpoints, textual inversions
Ftextual inversion savings
Zembeddings
Fso we can say as checkpoint
Fok they are activated with filename
Fso you can use s/r prompt
Fwhich is looking for a keyword
Fand replaces it
Fi explained it in my videos
Zoh right, so photo of [embedding[, then replace would be the different embeddings
Zgot it, thanks doc
CDo you know whats the best one to choose from the selection for remove background?
Zyou just have to play around with it, turning on return mask and trying each one will give you a visual of what they do
C@Zono50 thank you for the help
Zabsolutely
COne more question, how low did you go with your learning rate. ive seen a reddit post saying to reduce by 30%?
Ci normally use the default
Zyeah right now i'm doing 0.005:200, 0.002:500, 0.001:3000, 0.0005
but 30% less would be 0.035:7, 0.014:14, 0.007:42, 0.0035:140, 0.0014:350, 0.0007:2100, 0.00035
but 30% less would be 0.035:7, 0.014:14, 0.007:42, 0.0035:140, 0.0014:350, 0.0007:2100, 0.00035
Zwhich this subject kinda turned out ok that i'm working on around 5500 steps, but now she is looking kinda deformed so may have to stop it here soon
Zwell actually at 7500 steps, she's looking pretty good
Zit's hard cause sometimes you will get results tha tlook like this and you think it's time to stop, but then the next result looks like the one where she's in blue.
ZWhat do you think? pic on the left is the actual girl
Zwomen always think they look different than they actually do, it's their perception of themselves. I think it's pretty spot on
2is it ok to ask question here about errors in a google colab? or is there a more appropriate chanel?
2I'm getting an error when trying to train the model, unrecognized arguments: portraits
Clooks almost spot on. as you say the eyes are the tricky one but looks good
Zthank you
CPromise last question. Once you remove backgrounds do you blip your new dataset?
Zit wouldn't let me
Zlike it kept throwing errors, i don'tthink it likes it, but you shouldn't have to caption cause your subject is the only thing in the picture
Cthank you going to now give it a go with new data set
ZGreat! can't wait to see the results. I posted some scary stuff yesterday
EFor past two days I was working with Lora and I could do training without problem. All of the sudden I can't train anymore because of the CUDA out of memory...
Is there any way to lower the vram usage for dreambooth / lora training?
Is there any way to lower the vram usage for dreambooth / lora training?
EI have 8gb vram it should work with lora 
Zdoes anyone know a good way of converting prompts between systems such as auto1111, invoke ai, midjourney?
Zwonder what's using your vram
Fyou can ask here
Fplease show error message
Fyes it should work. must be a settings error