Ok thanks. Yes, it generate the class correctly but the training all samples are black haha
Ok thanks. Yes, it generate the class correctly but the training all samples are black haha
Fmust be another error
Fperhaps yaml
Fresolution
F2.1 you are using?
Fwhich model you are using to train,?
Wsd15newvaeproned.ckpt
WI just have one installed
Fwhich one is that
Fwhere did you get it
WFrom your video, mmmm it is a luncher EmpireMediaScience
WIt download and install the model from the luncher
W
Fi see they must have added this later
Fi am using this one
Fit is the official base model
Fbest one for training
WOk let me try
WTo install a new model I only need that file and put it on the "stable-diffusion-webui\models\Stable-diffusion" folder?
Fif it is 2.1 version you need also yaml file
Wok I will try 1.5 first. How 2.1 version works? Thanks a lot.
F2.1 is much harder
Ffirst get success with 1.5
Nthat is interesting! looking forward for your next video 
do you mean mixing two concepts- one person and a style or merging two checkpoints? one trainined on an individual and the other on a style-
do you mean mixing two concepts- one person and a style or merging two checkpoints? one trainined on an individual and the other on a style-Fi am first teaching myself
Fthen training style
Nhttps://huggingface.co/plasmo/woolitize-768sd1-5 <-- this is so sweet 
but a trained image i want to combine with me
but a trained image i want to combine with me
Fthen i think i will teach myself again with further training
Fthat model probably baked
Fso your training on that may fail
Nwhat does baked mean?
Fbaked means model lost flexibility with overtraining
Fi will explain in video hopefully
Fwhy to follow my strategy
Nwell- it works, but the sheeps are much cuter then me..
N
Nsounds interesting (once again)!
HInstall instruction on the discord under notebooks
TAwesome, thanks
WNow I'm geeting men images thank!!!
IYes, in your tutorial it was clear. On Runpod I can't tell which one is supported, so I always run the wizard. Yesterday the wizard was always wrong, for some reason. On my local machine, the wizard gives me nearly the best settings! So my only solution was to train, cancel, see if the images were black or not. It took me hours to find the right settings, but it's time consuming. Then on a different pod, it's the same story again, which means paying for extra hours.
Fyou are welcome
Fwell i dont stick wizard
FYouTubeSECourses - Software Engineering Courses
RunPod: https://bit.ly/RunPodIO. Discord : https://bit.ly/SECoursesDiscord. Web UI DreamBooth got epic update and we tested all new features to find the best settings (10). If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on 
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Playlist of...
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Fi am following them
I(Runpod experience) Speaking of extra hours, runpodctl download speed is...honestly very disappointing. 3-5 MB/s in the best case, seriously? And it interrupts very often. My line can handle 100 MB/s, I never had one interruption in a year of work. I use it everyday, so I know for sure that the issue is not from my end, as I use plenty of different sources to do transfer. For instance, installing Automatic 1111 from zero, with all the packages and models is a thing I can do in less than 1 hour. This has nothing to do with Mr. Furkan's tutorials, but since he suggested to use runpodctl, I am sharing my experience. It could be an isolted case, I m not sure. So I begin to think that runpod just want us to sped more hours, if you add the fact that gradio freezes every single time, and the fact that often times GPUs are assigned when you are idle, which means again > transferring files > extra hours.
In short, using runpodctl to move 1 GB TO Runpod takes 10 second, which is fantastic. Moving it back to the same source takes 15 minutes if you re lucky. Moving the same size from another source (not from runpod) to the same destination takes less time, which proves that the transfer speed is controlled by Runpod.
Great service for GPU, but given that I am not an expert someone please explain why runpod's download speed is so terrible. I get faster download via browser,but...they interrupt.
In short, using runpodctl to move 1 GB TO Runpod takes 10 second, which is fantastic. Moving it back to the same source takes 15 minutes if you re lucky. Moving the same size from another source (not from runpod) to the same destination takes less time, which proves that the transfer speed is controlled by Runpod.
Great service for GPU, but given that I am not an expert someone please explain why runpod's download speed is so terrible. I get faster download via browser,but...they interrupt.
IGitHub
PyTorch 2.0.0 is now GA in the last 24 hours and has the cuDNN v8.7 fix if you get the correct version of it. In other words, no more file copying hacks. However, there are two versions of 2.0.0. t...
Fye it was 100 mb before. now very slow :/