Couldnt I technically do like RANK 6 Batch 4 or 5 on 1 A6000? - Currently doing rank 2 FAST Batch 2
Couldnt I technically do like RANK 6 Batch 4 or 5 on 1 A6000? - Currently doing rank 2 FAST Batch 2 on 1 A6000, taking about 4 hrs so not too bad
LHelp me with Kohya_GUI_Flux_Installer_21, I have such a problem coming out, I have installed all the requirements of Python 3.10.11, FFmpeg, Cuda 11.8, C++ and Git tools as it was in the patrion post
L
Fmassed compute
Fi made the tutorial editing but you can see here
FYouTubeSECourses
FLUX is the first time every an open source txt2img is able to truly surpass and produce better quality and better prompt following images than #Midjourney, Adobe Firefly, Leonardo Ai, Playground Ai, Stable Diffusion, SDXL, SD3 and Dall E3. #FLUX is developed Black Forest Labs and its team is mainly composed by the original authors of #StableDi...
DIs the Flux text encoder limited in token length?
F14:35 How to use SwarmUI and FLUX on cloud services - no PC or GPU is required
14:48 How to use pre-installed SwarmUI on amazing Massed Compute 48 GB GPU for 31 cents per hour with FLUX dev FP16 model
16:05 How to download FLUX models on Massed Compute instance
17:15 FLUX models downloading speed of Massed Compute
18:19 How much time it takes on Massed Compute download all very best FP16 FLUX and T5 models
14:48 How to use pre-installed SwarmUI on amazing Massed Compute 48 GB GPU for 31 cents per hour with FLUX dev FP16 model
16:05 How to download FLUX models on Massed Compute instance
17:15 FLUX models downloading speed of Massed Compute
18:19 How much time it takes on Massed Compute download all very best FP16 FLUX and T5 models
F512 i think
Fyou can use both fp8 or fp16
Dah its 77 for CLIP, 512 for T5
Fyep
Fover batch 2
Fdoesnt bring any speed
Fbatch 2 brings slight like 20%
Fhello this is internet error
Fyou can fix with warp vpn - cloudflrare
FInstall the free app that makes your phone’s Internet more fast, private, and reliable.
Fso activate warp vpn and do a fresh install
OYes... but fp8 just not working with Lora. I don't know why. I just switch models, everything else stay the same.
Maybe I'll risk a forge update
Maybe I'll risk a forge update
LThe problem is not with the internet, I installed the original one and it works https://github.com/bmaltais/kohya_ss and your build is failing
GitHub
Contribute to bmaltais/kohya_ss development by creating an account on GitHub.
FYou can see my install by editing file it is nothing special it installs that with accurate branch 
FAh could be forge thing
FI used only Fp16 on forge
SJust a quick FYI for anyone interested, here's how long it took me to do a 20img/150 epoch training session on a 4090 this morning. Used 'Rank 4 best config better colours' script
FVery nice speed
LIs this error going to cause me problems down the road?
LThanks
FNope
FWe don't use xformers with FLUX
OThe fp16 works really well.
I used no captioning, no regs. Best Lora i ever made
I used no captioning, no regs. Best Lora i ever made
D@Dr. Furkan Gözükara Can you please tell me if this is considered a good learning curve for my 3090?
Floss rate is meaningless
Fspeed is looking ok not very bad
Fi think your model will be really good
Ftrained a lora for a client i think it turned out to be perfect
Fcan do smiling very well since we included that :d
MWhile you guys are training Flux, I'm experiencing the interesting features of PonyRealism 2.1 under Prodigy. (I see that the Flux training is still being tweaked at Kohya, so I'll wait.) It turns out that the SDXL rule of only training Unet doesn't apply here, because then the finished Lora will only look a little like the person. However, if I train normally (i.e. without the --network_train_unet_only switch), I'm already on target. By using the 'fp8 base training' switch I can weaken the strength of the model a bit, i.e. sometimes it can come in handy in achieving a more accurate Lora. Without fp8, the Lora is stronger, so the d_coef switch needs to be reduced.
Ffor sdxl i suggest unet + text encoder 1
Falso for flux i am testing training clip large text encoder atm
DRealVisXL5 was released
Fwow i should test
Ftesting flux clip large trainings
Dseems to be a big training effort, not just remerge: "Hello everyone! An early version of RealVisXL V5.0 (560k steps) is now available on Hugging Face. The model is still in training, and the final version will be released on Hugging Face and CivitAI at the end of August. You can leave your feedback on this version in the comments below."
G@Dr. Furkan Gözükara Bro, I am going to sleep now its 6am haha, training loras all night, I fixed all my machines now. Anyway, I want to Train 1000 images (a style of art) I want to train that but doing it on 1 A6000 it would take like a week right? What system you recommend and how much would it cost me on Mass compute? 4-8 GPU A6000? If its $3-5 an HR I am down to pay it. Please do recommend the correct VM to use on there and do you have a video setting one up as I only use local, never rented hardware before. Let me know thanks and gn brother! Totally worth the Patreon fee!
Fget 4x A6000 on massed compute
Fit is 1.25$ per hour with our coupon
Fi made the multi gpu training tutorial so it will be published today or tomorrow hopefully
V@Dr. Furkan Gözükara two models have been changed by the author, %cd /kaggle/temp/VAE
!wget "https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/ae.safetensors" -O "ae.safetensors" !wget "https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/flux1-schnell.safetensors" -O "flux1-schnell.safetensors" am I right? another question it seems to take a few mins to get 1 image from flux model on kaggle, right?
!wget "https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/ae.safetensors" -O "ae.safetensors" !wget "https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/flux1-schnell.safetensors" -O "flux1-schnell.safetensors" am I right? another question it seems to take a few mins to get 1 image from flux model on kaggle, right?