Hi, can I finetune flux kontext with dreamboth ?
Hi, can I finetune flux kontext with dreamboth ?
Four current configs works
Fnot with kohya yet
Falso it reuqires special dataset
KAnyone know what would cause my training to just stop randomly? This has happened numerous times since I upgraded to a 5090 a few weeks back. No errors are displayed and there seems to be nothing in particular triggering the event. I reinstalled everything and it runs smoothly...until it just stops and gpu utilization drops to zero. Once this occurs I'm unable to create a backup and have to restart onetrainer and resume from backup. Very frustrating because I have to keep restarting the training and can't leave and let it cook
Fyes out of RAM
Fit can cause crash
KI just restarted a training and RAM (while it's working is only at 22 (I have 64). VRAM however is at 31.5
Fhow much watt you using?
Fby the way normally it uses around 28.5gb vram
Fif all 1024x1024px
KWatt- fluctuating between 350-500 approximately if I'm looking at it right. I'm doing an SDXL training btw. All 1024x1024, batch size 2, accumulation steps 3 just experimenting. But ever since I installed 5090 Onetrainer just randomly stops responding.
Fah ye that is why
Fi really recommend use kohya and our config
KI much prefer onetrainer personally. Which setting is likely tripping it off? I haven't tried your new config yet so maybe that is next
Fmy new config for SDXL though. for FLUX on onetrainer i didnt do much research
KYea, I do use kohya for FLUX, but recently got back into SDXL. And yes, your new config for SDXL is what I meant. I'm wondering if one of my settings is wonky.
Fah yes SDXL config is up to date
Fbut my config is batch size 1
Fmore batch size and accumulation steps (fake batch size) changes learning rate
Fsingificantly
Fand reduces quality
KSo to confirm, with a 5090 you recommend keeping batch size 1 and acc. steps 1 as well correct? I didn't know it reduced quality
Fall 1
Falso use newest tier
Ftier1_17_GB_fast_v4.json
KWill give it a shot and let you know if perhaps that resolves it! Thanks
�on windows when i run kohya installer, i hit option 1 to install, once i press ENTER, the terminal just closes
�installation was complete in like 15 seconds, obviously it did not install
Fhow to change lr_shceduler to cosine in fluxgym? its default to constant with warmup
Fyou are lacking python
FYouTubeSECourses
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Fi never used fluxgym
Fwhat do you suggest using?
Ffor lora training
Five 48gb vram but with fluxgym im unable to fully utilize it. its only using 20gb vram
Fkohya
Ffor 48 gb we have batch size 7 dreambooth config
Ffully utilizes the GPU
FYouTubeSECourses
If you want to train FLUX with maximum possible quality, this is the tutorial looking for. In this comprehensive tutorial, you will learn how to install Kohya GUI and use it to fully Fine-Tune / DreamBooth FLUX model. After that how to use SwarmUI to compare generated checkpoints / models and find the very best one to generate most amazing image...
Fif you want lora it is here https://youtu.be/nySGu12Y05k
YouTubeSECourses
Ultimate Kohya GUI FLUX LoRA training tutorial. This tutorial is product of non-stop 9 days research and training. I have trained over 73 FLUX LoRA models and analyzed all to prepare this tutorial video. The research still going on and hopefully the results will be significantly improved and latest configs and findings will be shared. Please wat...
GHave an 3090 and recently did a fresh install of Kohya, followed by 'Windows_RTX5000_Series_Upgrade_Run_After_Install_Finished.bat', and previously my speed was ~8s/it but now its ~11s/it. Tried reverting and doing fresh installs again but the same issue. Any idea on what's the best way to debug what's causing this?
Fis your dataset all 1024x1024?
Gmy actual images are larger, but my 'Max resolution' is set to 1024x1024 (so assuming they're getting resized to 1024x1024 themselves)
Fthat is why
Fit wont resize to 1024x1024
Fit will only resize small side to 1024
Gsorry, I should have said that they're all 1:1 aspect ratio, so would end up being 1024x1024
Fhow much watt your gpu using did you check?
Fi mean like this
