i got to sleep. i slept like 4 hours today :/
i got to sleep. i slept like 4 hours today :/
GYeah GN bro. Also A6000 is best price/GPU ratio right? Fastest on Massed Compute?
Fget 4x there
Fi explained all in tutorial
Fcould be first multi gpu training tutorial
TDr Gözükara , do you have any teaching/posts about using NF4 models in SwarmUI ? (Sorry, I am from Automatic 1111, I got no idea how to set up SwarmUI for Flux regarding NF4 models)
Also are Dev original models better than NF4 models? NF4 models are smaller. I am worried about the quality
Also are Dev original models better than NF4 models? NF4 models are smaller. I am worried about the quality
Fand so easy one
Fyes nf4 models loses some quality
Fi think q models better
Fi plan to cover them later but you can ask developer in swarmui he really helps
FTThanks so much !
GADD Massed COmpute and Runpod Links to the Youtube video description bro
FPatreon
Get more from SECourses: Tutorials, Guides, Resources, Training, FLUX, MidJourney, Voice Clone, TTS, ChatGPT, GPT, LLM, Scripts by Furkan Gözü on Patreon
Fand watch 
Fi got to be afk now
FAny tips on getting more realistic results? You've replicated the face very well, but these all look like "AI Images" and I think folks can very well recognize that now and disregard them. With Flux training I think we have moved past the challenge of replicating faces, and the new challenge is to train and prompt to get more convincing results.
Gwhen you upscale do like 40 denoise 20 steps that helps, i upscale twice 1.5x and the results are nice, or use face detailer workflow
FComfyUI? Do you have a link to the face detailer you use?
I am trying to stick with Forge since it seems to be so much faster and simpler than a ComfyUI workflow
I am trying to stick with Forge since it seems to be so much faster and simpler than a ComfyUI workflow
TDr Gözükara, can you shed light on choices of 'Samplers" and their respective scheduler? I usually generate Asians and I have found (not necessarily true) DPM-2 looks better than Euler. Care explain how Sampling works ? (like if you already have 1 in your video)
JI have a question about training LoRA. My LoRA files usually have a very large size after training, while the LoRA files I download from the internet are much smaller. How can I reduce the size of my LoRA files after training?
Nyou might try this tab in kohya
GBro I followed the video, I see at 4 x GPU you do not change your batch size to 4, you leave it at 1. Also, when I hit training, (I have 10,000 images) Changed it to 8 epoch, save each 1 Epoch, I do see that when it starts 2500 steps instead of 10,000 But when I do nvitop I only see 1 GPU being used. 3 are unused or not moving? Why? I thought I would see all 4 GPUs being used. Changed the learning rate to 0.0001 as well on both places.
GI only see 1 GPU being used
G(Loaded your 4xGPU-FAST) I see only 1 batch running at 10000 steps now, not 2500. but I do see all 4 GPU being used now in NviTop, GPU 0 fluctuates between 25% and 100% training ends quickly and no model comes out. Its not working at all loading your config. Your config has 0.00005 Learning rate when it loads not 0.0001 like your video shows
G:1222pepeblunt:
GTerminated instance so its not charging, will relaunch after you respond bro, thanks
�Aren't you supposed to list all the other GPU Ids in the command line args? I haven't checked yet but should be already configured in a Multi GPU config if he has one on Patreon
Ghis config has that already, i checked it, but his learning rate doesnt match what he does in the video
Gand batch is at 1 not 4 too
�Oh ok gotcha, I'm barely watching the video rn
Gtheres just a couple conflicts from video/4xgpu gpu configs that you load
Gis a bit grey
�This is from the video, you sure this was configured correctly?
Gthats under accelerated right?
GI checked it against his video and loaded his settings bro
Gthose 4X gpu settings are set
Gthat had to be set and was
�Yeah from Accelerate, what about this setting?
GYes all good, i loaded his settings bro
�Yeah I'm looking at the config template you used, don't know what else to tell ya. I guess wait for the Dr.
Gi relaunched a new instance starting from scratch
�How much faster is training with 4x GPU?
�I'm guessing 4x faster lol
Ghis config has 0.00005 Learning rate when it loads not 0.0001 like the video shows too, so its not the same
Gyup
G10,000 Images I think in 6 hrs is what im thinking
�Oh wow damn yeah with dataset that huge it makes sense to go fast
�Well he explained why he changed it in the video here
