block swap only changes vram usage - thus speed not quality
block swap only changes vram usage - thus speed not quality
Fhow much RAM you have?
Fthis sounds like out of RAM error
MOh got it, thanks a lot for clearing that up!
Fyou are welcome
MOh, just one more thing. For example, is it possible to 'pause' a LoRA at checkpoint 50 and then resume from that point to continue training up to 100 or even 200?
Fit has use last lora weights
Fon interface you can try
FMAh, got it. I'll give it a try. Thank you so much!
JHello, it’s an eGPU RTX3080 with 16GB RAM, task manager says it’s all available. I noticed my HDD had dropped to 50gbs free space, I’ll free more up and try again.. should I try with one of your 12gb Lora best wf’s instead?
JI always believed that VRAM was the same as RAM? This party always confuses me!
Ftotally different
FRAM is system RAM and VRAM is GPU RAM
Fyou can show me screenshot of task manager
4Vram is a type of ram only for the gpu, it has way better bandwitch and optimized for certain type of data and lot of transfer. But it has a lot more latency that the ram and it too slow for random acces file and slow data that's why we got ram and vram
4DDR5 in dual channel can transfer like 90GB/s, the GDDr7 of the 5090 can do 1792GB/s. Nothing compare
4@Furkan Gözükara SECourses
Hello,
i run a dreambooth training on my machine and when i leave my home and come back i saw the training crash with no explication. I have a 10epoch checkpoint, (i think i was near 15), how i can resume the training ?
Hello,
i run a dreambooth training on my machine and when i leave my home and come back i saw the training crash with no explication. I have a 10epoch checkpoint, (i think i was near 15), how i can resume the training ?
JHey thanks for sharing the info on Vram , I feel that I understand it now but still not entirely sure how to measure what Vram I have! I’ve attached a screenshot from my task manager maybe someone can take a look, knowing what Vram I have will help me choose the correct Koyha Flux workflow, thanks in advance!
Fprobably out of RAM
Fyes you can give last saved checkpoint
Fand it will continue - just reduce number of epochs you gonna do
Fyes you have 32 GB RAM that is the issue
Fplease upgrade to min 64 GB
Fmore is better
4You have 16GB vram, it's write in "Dedicated GPU memory"
JThanks for checking that for me! I’ll probably take the good Doc’s advice and upgrade soon — but in the meantime, out of the Lora training workflows available, which one would you recommend I try with my current setup?
Fsadly none will work very possibly but you can try this
Fuse fp8 dev flux
Fuse fp8 config
Fand select fp8 base on gradio interface and let me know if works
JThanks Doc! Rather than struggle along I feel it will be more productive that I spend my time learning how to set up Massed Compute for Lora training for now, I’ll give it a whirl!
Fgreat mindset
Ffor SDXL? that can work yes
Fbut for flux they will get mixed
Fah you mean their defualt configs?
Fthey never worked good for me
Fye onetrainer is best
Ffor SDXL
NIn sdxl, can I use 256 images to train a person just like with Flux? If so, what epochs would you recommend?
Fi didnt test epoch there but probably 100 should be pretty sufficient
HShould I be worried if my current epoch is still at 0 when it's supposed to be at epoch 5?
Fdont bother epochs
F343/4000 steps what matters
�Can we use a flux turbo lora together with flux dev fine tune? For 8 step gens
�Anyone tried?
Fprobably will be lower quality
Fbut you can use sage attention
Fit speeds up
