It seems like I am over training my model with my face and I am not sure how I can prevent this ?
It seems like I am over training my model with my face and I am not sure how I can prevent this ?
Ti have a question, if I want to train specific outfit, what class should i use in Class Prompt in Dreambooth?
TAnyone notice in generating images that nomatter how you replace your promts or even delete all text and replace new compostion, after web ui has been reset and still the composition and style always generates the same? something like your stuck on the same seed. How to totally get away with that?
TPersonaly i found a good results with the method of 16 images 768,High res, Lr 0.0001, constant, 100epoch.
GNice! I will give that a try
Gdoes anyone know where the sample imgaes get generated in RUnpod ?
GAlright so I am not sure if I am doing this right. My CFG scale needs to be really low for my face to generate and even then it's not looking great
GThis is with the cfg scale on 1 and that is creepy AF but it's all warped
GAlright. after some testing, the new version of Dreambooth seems to over train VERY quickly. 150 for the face seems way to much
Gwhen I go to checkpoint 2 it's already overtrained , no style and my face is not even correct . I do think I might be doing something wrong
Zmy model keeps getting tripped up and making pictures of the girls drink lmao
Z
EI trained my model in Textual Inversion on SD 2.1. Results were not that bad, but I decided to check SD 1.5 because I was able to do hypernetwork on sd 1.5 and not on 2.1. I used same images and filewords in 1.5 as I used in 2.1. My embeddings have comparable loss value every 500 steps. But it is learning bad. Samples are much worse than in 2.1. Any idea what options or anything that I can change to improve my results? I used 22 images maybe I need to use more?
Gthis is the closest I can get my face into any image and then the ears, eyes and mustache is wrong
GI look like a 50 year old here XD hahahah
GI don't even have a mustache 
GAll of this is on epoch 100 so I need to fine tune a little more . Not sure how
KHello, it's me again.
I trained the model based on a cup, and it gave me pretty good sample images, but when prompted after training it doesn't give me the result i wanted. I used ohwx mug as a instance prompt and photo of ohwx mug as a sample image prompt
What have i done wrong ? Any ideas how to get the result from the training ?
I trained the model based on a cup, and it gave me pretty good sample images, but when prompted after training it doesn't give me the result i wanted. I used ohwx mug as a instance prompt and photo of ohwx mug as a sample image prompt
What have i done wrong ? Any ideas how to get the result from the training ?
Gwhat checkpoint are you using ?
KThe ones nearest to the sample prompts in question.
KWhen Prompted in text2img (with the model at 3000 selected - due to best sanity result) with the keywords : photo of ohwx mug, it gives me random mug images. The gray mug is the image i used (total of 25 images), and it gave me pretty good results during training.
KMaybe the base model i used for training already used ohwx ? maybe that's the problem?
KAs a base model i used Realistic Vision 1.3
GWell here is my reference and the images I managed to generate, bare in mind that my settings seem to be VERY different to any video based on the latest Dreambooth
G
Gthe CFG model is literally on 11 for most of these imgaes
KWhat did you use for the base model for training your images?
Gv1.5-pruned
Fno ideas. it should work as in sample prompts very weird
Ftoday
Fi will do a new training
Ffor animation video
Fon latest version
GYes please. It would be great if you could dive into some of the settings . I feel the videos of 3 weeks ago are all already outdated. Dreambooth development is just moving at a very fast pace.
Factually my latest video just recorded few days ago
Goh, I must have missed that one then
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Fit worked very well
Goh, I saw this and did not watch it. I will for sure try refine my process with this
SI did not understand this question I don't think.
Kis it maybe because i used Realistic Vision 1.3 instead of SDv1.5 model ?
Fcheckpoint comparison is most important part of training
Fplease watch this video
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Fif you are able to get during training you should be also get after training as well. but custom models usually not working well with training
Esomeone tested pytorch 2.0 with sd 1.5 textual inversion training?
Fi havent yet
Fcurrently working on animation
Fframes extracted
F
ENice