1024x1024. It works in single GPU, but always memory error when I try to use dual GPU
1024x1024. It works in single GPU, but always memory error when I try to use dual GPU
JI will try 0.000234 next as learning rate
Jjust a little bit more than 2e-4
JAt ~ 1000 steps
JI have no idea if amount of images affects the learning rate, if we keep the steps the same
Smaybeeee
Slet me know 
JSure thing but I think I am on to something 
Fdual gpu dreambooth need 96 gb
For lets say at least 80 gb
Fgpus
Mi got memory errors on 2x RTX A6000 (48GB)
Fyes you cant train dual gpu dreambooth
Fbut you can train lora
Mi see in your training log 256_img_BS_7_Fine_Tuning.txt that you trained 8x GPU dreambooth with NVIDIA RTX A6000 VRAM 48577MB Arch
Fyes but that 8x gpu was used for different trainings
Fnot as a combination 
Flora works with multiple gpu but dreambooth fails unless you get big vram gpus
Jso whats better for fine tuned image gen realism right now?
dev or krea?
pros and cons? can someone give me their observations?
dev or krea?
pros and cons? can someone give me their observations?
Fi posted grids and hopefully will make a video today
Fstill working on wan 2.2 presets
Jwhere can I see your grids, patreon?
Jand how about wan 2.2? kling 2.1 master still better?
Fi dont use kling sadly
Fgirds here https://www.patreon.com/posts/112099700
Patreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
F
JI appreciate you taking the time to make that
JI personally don't see any differences/patterns
Jprobably going to stick to flux.dev for now
SHey guys, can confirm the tests of our dearest Dr Furkan.
Flux Krea training is amazing but needs more epoch. I trained a makeup style checkpoints with 200+ images, and this is epoch 200. With flux dev the sweetspot is often around 140/150 epochs for my trainings.
I will train 20 epochs more on this one cause I think it may be beneficial for some details. Go ahead Flux Krea is awesome, reach for high epochs !
Flux Krea training is amazing but needs more epoch. I trained a makeup style checkpoints with 200+ images, and this is epoch 200. With flux dev the sweetspot is often around 140/150 epochs for my trainings.
I will train 20 epochs more on this one cause I think it may be beneficial for some details. Go ahead Flux Krea is awesome, reach for high epochs !
Snice, whats your learning rate?
S4e-06
Fmatching with my results
Fwritten this on patroen post :d
S@cyberbol
KGlad to see this I’ll keep training
KHave you trained a Lora on the same makeup style?
JHello Dr, do you think we will be able to do something similar to dreambooth style full finetune of qwen? Is this possible?
筋I would like to ask everyone, I used 38 high-definition half-body portrait materials to fine-tune the DreamBooth training, with a configuration of 48G and 200 training rounds. Currently, the results from round 120 to round 200 are indeed becoming more similar to the characters in the material set, but I encountered two problems: 1. The test results for cartoon images are all realistic people, 2. If the character is relatively small in the image, there is only a very small probability that the face resembles the original.
JDid you caption the cartoon images with a cartoon keyword, and photorealism images with "photo" or a similar keyword?
JMaybe also introduce images where the face is more distant in your training ? Maybe you could pad the training images twice, but the second time with a big black border, so the face comes out relatively small?
Fdreambooth later i think
Ffirst lora
Fhow do you test?=
F2 : yes zoom in character
筋comfyui，Grid test
筋I relabeled the data again, added a realistic style, and plan to retrain for DB testing.
Fyou are training a game character or something?
筋I'm using the krea flux base model. I don't know if this is the reason.
筋I'm training a LoRA of a character similar to you using my own photos. However, currently, when I write the cartoon prompt, it turns into a real - life person.
