And another question do i need to install anything to use <segment:face,0.7> or can i just use it in
And another question do i need to install anything to use <segment:face,0.7> or can i just use it in SD forge at the end of my prompts ?
F
Fit is format of swarmui
Fi think try adetailer
Fi just generate more :d
V@Dr. Furkan Gözükara is there a specific order to go about this file? https://www.patreon.com/posts/110293257
Patreon
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Vbecause there is not a step by step sort of guide
Fyou should watch video
Fyou can read subtitle and watch 2x
Fdistant shot hands are really hard
F
NDoc Any recommendations for distant images? since when I generate I lose a lot of likeness
Fwell just use more images in training with distant shots
Fand inpaint face
Fdmn extra finger :d
Fok this one good
F
Fsince 1536 px it has those stripe lines
Fnice
F
Fye high res causing these lines
SDr Furkan how do you achieve thtas expresions? must be in the datasheet?
Fthis quality is just mind blowing
F
Fdoing expressions too
Wdo you have some guide about using these kind of prompts, maybe when I need inpaint body, hand or something or want the image focus on face and so on. Thank you
Fnothing special here
FFit is all about training
Wso <segment:yolo-face_yolov9c.pt-0,0.7> is only for SwarmUI right ?
Fas far as i know yes
Fyou need to put that model into yolov8 folder check #tips-info
Fsupir upscaled
Sthis is OneTrainer ? Dr Furkan?
Fkohya
F256 images dataset
Fi will update patreon post also shared dataset there as grid
F
Fthis level details wow raw
SDrFurkan but that amount of pictures datasheet,,, should take mucho more time training, could be posible still making training local?
AReddit
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Falso you dont need 256 images
Fyou are late 
#work-on-next-list
#work-on-next-list
NYes, I get similar quality off a 20-30 image dataset. But the dataset was super high quality to begin with.
Fyes dataset is king
Fupdated the post
FPatreon
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Fwill update 1 more time
WHi @Dr. Furkan Gözükara for training person you said that no caption is better than with caption, however when I read your 3d lora style training section you also said if the dataset is inconsistent, caption is better. So does it apply to training person too
