good working
good working
Zhm, I will take a look at your reg images, I'd been using Aitrepreneur's images but it looks like your dataset is much larger (5200 images vs 1000 for his)
Zalso, do you have tips for number of images vs repeats? Is there some target I'm aiming for like images*repeats=500, or something like that?
Zoh yeah these images are way more diverse. Ethnicities, ages, body shapes. I'll have a try with these. Thanks!
Fmy images are manually collected
Fi spent over 5 days
Fi suggest repeat 200
Fand save based number of steps
Fso 1 epoch
F200 repeat
Zrepeat 200 regardless of the number of images?
Fhow many train images you have?
Z39
Fok it is quite a lot
Fmake repeat 130
Fbecause otherwise you will need more reg images
Falso 130 epoch is decent for 39 images
Zis there an ideal ratio of reg images to training images?
Factually the more you use it is better
Ftherefore we try to use max
Fbut as you do more repeat
Fit will do more epochs
F200 repeat actually means 200 epoch
Fnot exactly due to scripts random image training logic but almost equal
Zok so 130*39=5070, which is close to 5200 which is the number of regularization images. Is that number similarity a coincidence or is that what I'm aiming for, for the number of repeats multiplied by the number of images to be about equal to the number of reg images?
Fye i calculated that way
Fbut it could lead to overtraining
Fsince it will be equal to
F130 * 39 * 2 steps
Fusually 15 images with 150 repeat yields good results even little bit overtrained for realism
A
Fmust be out of vram
Fshow task manager
Fgpu
Fyou know i can connect your pc and fix your python installaating and everything with private lecture
For you can follow this tutorial and instrall everything properly https://youtu.be/-NjNy7afOQ0
YouTubeSECourses
Welcome to the Pillars of AI Application Libraries: How to Install Tutorial! 
Are you ready to embark on a journey of installing AI libraries and applications with ease? 
In this video, we'll guide you through the process of installing Python, Git, Visual Studio C++ Compile tools, and FFmpeg on your Windows 10 machine. 
We'll also show you ho...
Are you ready to embark on a journey of installing AI libraries and applications with ease? In this video, we'll guide you through the process of installing Python, Git, Visual Studio C++ Compile tools, and FFmpeg on your Windows 10 machine. We'll also show you ho...
ZWhat is the most effective method of inpainting now?
Fcan you eloborate more?
ZI see people making many crazy cursed images on Facebook. I try on stable diffusion and just doesn't work, like this one of krampus and pit bulls
ZI assume they are inpainting the details
Fyes mask the area in auto1111 and inpaint
Fi think they are doing that
ZDo you recommend inpaint models, controlnet inpainting or sdxl?
Fi think just masking and inpainting with good prompt should work for that level of image
Fbut you can try sd 1.5 controlnet inpainting nodes too
A
APastebin.pl is a website where you can store code/text online for a set period of time and share to anybody on earth
PNeed some help, need to ideate on what the background should look like. Is there something in control net I can use to ideate some background ideas?
Cc: @Dr. Furkan Gözükara
Cc: @Dr. Furkan Gözükara
DAnyone recommend a good lora dim/alpha for realistic sdxl models? Is 128/1 still best or has everyone moved to the dreamboat extract mode now?
Bfor one epoch?
Zif I'm correctly understanding what he's saying, an "epoch" is a "full run" of training on your data set. So multiple epochs constitutes multiple runs of training on your data set. This is functionally the same thing as doing repeats for images. so your total number of steps is [training images] x [repeats] x [epochs], and take that and double it if you have regularization images. So doing 15 training images with 150 repeats and 1 epoch is 2250 steps (or 4500 with reg images). If you instead did 15 training images with 10 repeats for 15 epochs, that would also be 2250 steps (4500 with regs).