The only machine I like on RunPod is the A40 for $0.39 (48GB VRAM), it's not spectacular, but it's s
The only machine I like on RunPod is the A40 for $0.39 (48GB VRAM), it's not spectacular, but it's sooo cheap.
Fit is worse than a6000
Fmassed compute is 31 cents :d
Falso runpod hdd and internet speed is like usually 1/10 for such gpus
MIndeed, but it's not always easy to find A6000s on MC, also thanks to your discount 
Ftrue i hope they add more
MHello @Furkan Gözükara SECourses , I just signed up for your patreon and downloaded these configs in the Best_Configs_v3.zip, a few questions 1) Are these configs for flux dreambooth? 2) What do the naming conventions mean for the different parts of the file name? 3) Which quality is better between 1 and 2? 4) Have you done a tutorial on Flux Dreambooth yet? 5) I guess it says to message you for a Patreon role. Thank you! 
Dfor Flux lora, when captioning a dataset, should I mention their defined characteristics? so if the subject is famously tall/pale skinned/muscular/whatever should those traits be mentioned or purposefully left out?
MMy impression when training for a specific person (ohwx, class woman) is that your top config has super-low effective learning rate. I generated samples with the same prompt and seed, and I can barely distinguish them between step 1000 and step 11,000. Is that something you noticed too? Should I not have kept the seed fixed?
Fthese are dreambooth
Fall quality 1 are same
Fthey are different vram and speed
Fwhat is your gpu
M4090
Ffor dreambooth i plan to record video very soon
Fi am doing few experiments
F4090 use 23100 mb
Fbut ensure that you have such free vram 
Fweird i use that learning rate
F15 images learn very well at 2250 steps
F256 images learn very well at 20480 steps
Fbatch size 1
Mi tried your script with multi-gpu and got an error "use_libuv was requested but PyTorch was build without libuv support" are you familiar with this or how to correct it?
Fdreambooth requires 80 gb
Ffor multi gpu
Mevidently it only affects multi-gpu
Fdoesnt worth get 1 L40S
Falso on windows it may not be working never tested
Fdont use captions :d
Mgotcha okay, i have a 4090 and 3090, was hoping 48GB would work between the two
Fhave consistent dataset thats all
Fno it cant merge
Fbut multi gpu lora may work
Mokay
Mso in your different configurations are you saying those are the required memory for each in MB?
DAt all? Not even "photo of name"?
Fuse ohwx class
Fnot matters much but not hurting either
Mso shouldnt the 23100MB work for me then? i was confused since you said it required 80GB but the config file says 23.1GB
F23100 mb
Fmulti gpu 80 gb
Fyou can do seperate training on each gpu
Mahhh okay that makes sense now, okay cool, thank you so much and looking forward to your dreambooth tutorial
Fawesome. i am experimenting batch size impact right now
Moh yah another quick question, i saw you have buckets disabled, is that better?
Funtil you have a base model
Fdisable
