yes they are very intensively researched
yes they are very intensively researched
Fi even shared higher lower LRs on research patreon post
Yaight will check now thanks!
Yokay ngl.... it's decent, i did lower the epochs quite a lot (u had 200 lol) because i have like 1200+ images for art style
Ffor 1200 ofc you need lesser epochs
Fmy 200 epoch is usually recommended for up to 100 images
Ffor example for 256 images best epoch i find is 70
Fbut 50 is also great
DFor style and for Flux I had success with as low as 50 good quality pics. Flux is smart, you don't need that many pics. You REALLY don't
�Using the joy caption batch, I get these at end of many of the generated captions: "<|end_of_text|><|end_of_text|><|end_of_text|><|end_of_text|><|end_of_text|><|end_of_text|><|end_of_text|><|end_of_text|>" How do I avoid those?
Freduce the caption lenght
Fi can also remove them from the generation actually
Flet me update
FPatreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
�appreciate your work so much, Dr., I happily upgraded my patreon to Gold just now. At the same time, I will cancel some other memberships which are not very helpful 
Fawesome ty
YHaha it just happened I have access to 1k+ images
Ymight as well use it
Dquality>quantity
�Is there any point in using 2048px train pics? like could I get better details in the checkpoint? or should I reduce size to 1024.
Ffor person training it didnt help me
Fbut i didnt test it after initial
Xuse multires training
SHello any tips for training/finetuning flux with a logo or can I train It the same way we do for people ?
�why multires? they're all the same res, 2048px
�Question: If I launch massedcompute with 2 a6000, can I run two trainings at the same time on that machine? @Furkan Gözükara SECourses
Xno train your 2048px images at 1024x1024 with bucket
but also train them at 512x and 768x
at least for me provides better results
but also train them at 512x and 768x
at least for me provides better results
�oh, never messed with those settings
Fexactly same way
Fjut dataset matters
Fi run 8 trainings on a single machine 
F8 gpus
�hm, but when starting the second isntance of kohya, should I use the same command in the terminal? or navigate to kohya ss folder in apps and run ./gui.sh, I went with option 1 while the first training already had started, hope I don't ruin anything
�you select the same folder for output for the 2nd training? diffusion models inside swarmui? or will that cause conflict
SThanks
Fas long as they are on different port
Fit will work
Falso just set different gpu id
Fin accelerator
�yes, I found that option, set gpu id 1 on the second training
�both are running now, I went with a different folder for the 2nd training, just diffusion_models2 to be sure they don't get mixed up
�Running smoothly
Fye use different image folders
For 1 overwrites others cache
�yeah, luckily I thought so before I started the 2nd one
�Uploaded checkpoints and pics using the huggingface script, but having all those pics in the same directory as the models became very annoying, how to I delete all pics from the huggingface directory?
Fsadly i dont know how to delete all try llms
�ok, I don't really need hugging for pics anyways, it's really for models
�Getting error using cropper on the newest version of ultimate img batch crop/resize, it can't save the files...using massedcompute. Write Error
Flet me test