welcome what you are trying to install?
welcome what you are trying to install?
Fto install latest version
Ftype pip install xformers==dev
Fit will list you all latest versions
KThank you! 
KMy installation had somehow stopped working. It does from time to time. Dunno why, but I'm installing a shitload or other AI-tools and updates all the time, so it probably have something to do with that. I just wish all tools used venv so the installations was separate form eachother
F100% agreed
KWell... Now it's running again atleast
FYouTubeSECourses
How to install Python, have multiple Python installations, set system wide default Python version. How to compose venv for any Python installation, change Python default path, and install SD web UI properly. Discord: https://bit.ly/SECoursesDiscord.
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FI am working on a tutorial for locally using DeepFloyd IF with a nice UI
Kproblem is... My day is only 24 hours I'd like at least the double to be able to both keep up and actually use the tools for something other than just testing stuff
KI have no idea how you get the time 
KI'm planning to watch this next "Longgboi 64K+ Context Size / Tokens Trained Open Source LLM and ChatGPT / GPT4 with Code Interpreter"
Fthanks for replies. ye i am sleeping lesser and spending huge time nowadays really really hard to keep up
really really hard to keep upKYeah like... I just stubled on LORA block weight... WTH.... What is that? 
JI am using Dreambooth using your guide (which is awesome by the way!) but I get the following error when trying to train a model 'Please check your dataset directories.' I have my images in the following folder C:\johntrain and this is what I entered into the Dataset Directory. Do you know what I am doing wrong?
JIgnore me, I restarted my webui-user.bat and it fixed it!
Fnice
RIs there a necessary correlation between the base model used for training Lora and the generated class dataset? Does the class images have to be generated by the base model used? Are we attempting to pass the model weights (bias?) to the trained Lora model? Trying to understand the underlying logic @Furkan Gözükara SECourses
Fif you use other images than the model you are training on, it will do also fine tuning according to those new images
Fso the model original knowledge of that class will change
RSo one should try to use images generated by the base model used for the Lora in order not to mess up the models own fine tuning. I'm going to test this out
Acan someone help me with this error on runpod?
message.txt16.42KB
Fwelcome
Fwhat are you trying to do_?
Ai try to launch relauncher.py with python relauncher.py
Ai just finished setting up my runpod using your videohttps://www.youtube.com/watch?v=zA4LksIVas8&t=334s
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RunPod: https://bit.ly/RunPodIO. Discord : https://bit.ly/SECoursesDiscord. How to install latest version of Automatic1111 Web UI and #DreamBooth on #RunPod. 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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Abut before i never encountered this error
Ranother question. Batch size will affect how exactly the learning rate? I know one should divide total steps by batch size to get the number of steps. So for a training of (12 instance images x 10 epochs x 80 repeats) (total 9600steps) / batch size = 1200 steps... I use batch 8 to speed up the process, but does this degrade the learning rate or loss? And I guess 1200 steps is on the low side. I should be rather between 1500-3000 steps after batch divide, correct?
Awhat.... now it worked, i haven't done anything, just stopped and started my pod...?? maybe some bugs related to runpod??
JHey guys. Thank you Furkan for your contributions!
I've a question. I'm running Dreambooth trainings with the A111 SD extension. I've a Nvidia GeForce RTX 3060 12gb. For what I've seen from your videos, the card should be able to make 5-7 it/s right? I don't know if anyone here has the same card and does trainings...
I'm stuck in 2.5 it/s and can't go any faster, I've tried a lot of things. Do anyone here know what things I should test or check to see if there's any issue or that's the expected card speed?
I've a question. I'm running Dreambooth trainings with the A111 SD extension. I've a Nvidia GeForce RTX 3060 12gb. For what I've seen from your videos, the card should be able to make 5-7 it/s right? I don't know if anyone here has the same card and does trainings...
I'm stuck in 2.5 it/s and can't go any faster, I've tried a lot of things. Do anyone here know what things I should test or check to see if there's any issue or that's the expected card speed?
Fbatch size makes things different. it changes how the model learns : https://www.baeldung.com/cs/epoch-vs-batch-vs-mini-batch
Baeldung on Computer Science
Explore the differences between an epoch, a batch, and a mini-batch.
Fi think for teaching a face batch size 1 works best
Fit is for generating images not training
Ftraining slower
RThanks. will read up on this
Fso instead of showing a picture at a time
Fchanging weights
Fyou show multiple images to model
Fchange weight according to all
DHi Furkan, saw your Lora dreambooth video and wondered if you could share the CKPT file of your trained facf
D*face
DI'd like to play around and see how photorealistic it is myself.
DRefering to this video https://youtu.be/TpuDOsuKIBo
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#Kohya SS web GUI DreamBooth #LoRA training full tutorial. You don't need technical knowledge to follow this tutorial. In this tutorial I have explained how to generate professional photo studio quality portrait / self images for free with Stable Diffusion training.
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FMy own face ckpt?
FWhy would you need that
FBy the way I did training realistic vision model
FDownload link already in gist file
JHey! Love the tutorials. Im getting stuck at generating images in Automatic1111 getting "OutOfMemoryError: CUDA out of memory." tried a bunch of things but havent been able to solve it yet. Any ideas?