multiple gpu means increased batch size
multiple gpu means increased batch size
Fso 2 gpu will make it batch size 2. so you should halve the number of steps
Fyes that training done with 24gb config on patreon
FF24GB_TextEncoder.json
WThanks , Repeats should be around 160 for sdxl , I remember for 1.5 it’s easy to overtrain and 25-40 was okay
Dthis time , the image creation needed very little effort to bring the face output. Using correct , HQ face images , makes lora training much easier.
ADo we use extract faces or resizer?
Ais this correct? I just want to do 1024x1024
MI find the big model training unnecessary. I'd only do it if I really wanted to make a new model, but that would require millions of photos, and I only do DreamBooth very rarely (for example for a pose that no model can do by default, like a full undereye). For everything else, I have Lora, which is fast, perfect for me, and the quality is absolutely comparable to a DB model, plus I can put it on top of any model, mix it with other Lora.
MNeed only one DATA array only for all size what you need, example:
DATA = [
((512, 512), r"G:\man dataset\new_cropped\512x512"),
((768, 768), r"G:\man dataset\new_cropped\768x768"),
((1024, 1024), r"G:\man dataset\new_cropped\1024x1024")
]ACan I just delete the second data = [] one?
Myes
Mlast comma no need
Aits being strange
Acropping and rotating
Aand also its 512?
MYes, it's 512. Have you used the Yolo script before?
Anope
MFirst is the Yolo script, it cuts the person. Then select the best images by hand or with CompreFace and then use this cropping tool.
Awhats extract_faces for?
MThere is a Yolo script under 30th october update:
https://www.patreon.com/posts/sota-subject-and-88391247
https://www.patreon.com/posts/sota-subject-and-88391247
M"Yolo v7 based cropper script updated and now works much better."
Mor Auto cropper (that's same)
MUnder this section found newer version on same patreon link:
How To Use Subject Cropper
How To Use Subject Cropper
MI use (1536, 1536) aspect ratio only, because need square crop later and this size is largest. No need other ratios from there
Mcropper_v7.py, line 13
MOnce you're done cutting and sorting, then use the resizer and it will cut it out really well.
MHi! I have some issues with Dreambooth Kohya, I tried to start learning but it stopped because of ‘ Doesn’t exist img folder’. I upload train dataset in workspace and pointed in dreambooth. It has happened on Runpod
ASo I have the yolo v7 in its completely own folder?
MYes, create a different folder for yolo script
Mand after install change cropper_v7.py constants, then go run_cropper.bat
Min cropper_v7.py comment second ASPECT_RATIOS line, need first one only.
Athis look good?
MYes, and if no need YOLO (tagged) images, set to False last constant
A
MI like to put the cropped images and the original images in separate folders, for example E:\woman dataset\original and E:\woman dataset\cropped
M*.dmg files not supported maybe
Atheyre all chopped off and unevenly cropped
Awhat did I do wrong
A
MIn principle, you have done nothing wrong. You should still ask for YOLO pictures where you can see what it found in the pictures.
A
MI see the parameters as good for the constants
Ado we no longer need to use --lowram for DB training?
Aon kaggle
MOn the YOLO pictures you can see what the cutter noticed in the pictures. Is that what you framed what you got?
Athis is the 3238 frame so it crops in pretty tightly it seems like, but in yolo its putting it to the side and the same wit hthe others
Freally good faces
Fyes make sure that your folder paths are accurate
Fuse dataset prepare feature of kohya gui
