Sooooooo all my trains look like crap what am I doing wrong #1929
Replies: 2 comments 10 replies
-
did you use one single token as filename for all the images ? |
Beta Was this translation helpful? Give feedback.
-
If you want to use my workflow, feel free to try. I'm using an old colab, make a copy: Use maximum 20 pictures and multiplies x100.. the ideal is 10 like Ben said, but 20 depending of variety can be good.. I always focus only on face training like this: Not all the models will be good!! You need to test them. The deliberate model on hugginface looks cool. I also train 768x768 pictures. and Focus to create 768x1024 pictures using controlNET or Img2Img to increase the time producing without aberrations. I don't know why Ben's updates changed the results during the time.. I would like not using old colabs.. I'm a bit insecure if for some reason stop working on the future. But for now its pretty good to me, and hope continues working throught all the updates. |
Beta Was this translation helpful? Give feedback.
-
I am really trying my best to fine tune the training setup and I noticed that all my models are just not working as I seen lots of others being trained on civitia I cant really use the models for NFTs I think if anyone has insite so I want to be able to train my own concepts.
Is there something that I missing this is kinda what I been using
20 photos x 200
so 4000 steps on main encode
then 350 for the text.
I am not sure if be honest lets say naked women if I would want to train on style or if I need to really focus on the face.
Does anyone know a good formula I can use that will rock it.
any advice much apricated
Beta Was this translation helpful? Give feedback.
All reactions