do you have python 3.10.11 installed?
do you have python 3.10.11 installed?
Fi am able to use both with my installer
Fmaybe not displaying on cmd?
Fdid you check your speed_? which config you used?
DThank you for your reply. Yes I have python 3.10.11, I am using the latest config "48GB_GPU_28200MB_6.3_second_it_Tier_1".
Speed is around 3.85s/it.
Perhaps it is indeed working but I find it strange there is no menion of this in the cmd windows. I remember the use of xformers was shown here on older installs (when using a 4090).
Do you see this in your koyha cmd windows when training?
Speed is around 3.85s/it.
Perhaps it is indeed working but I find it strange there is no menion of this in the cmd windows. I remember the use of xformers was shown here on older installs (when using a 4090).
Do you see this in your koyha cmd windows when training?
DFurther more, I am getting the exact same 3.85s/it speed and 27.7 GB VRAM used when I set CrossAttention to "none" in tge Koyha GUI, as when I set it to "xformers".
So that shows that there is no cross attention happening.
So that shows that there is no cross attention happening.
Tmy first guesst would be - some compression artefacts trained in with dataset. Another potential issue - you are trying to generate at much larger resolution than you training set
TI was able to partially work aroung models trained on subpar datasets by doing img2img from donor image of high quality and fairly large creativity
TIt would be cool if someone found prompting techniques to improve quality (the obvious ones like "hi res image", "high quality image" have almost no effect on the generation)
F3.85 is accurate
Fit is working
Falso SPDA and xFormers are same speed recently
DOkay but if I set cross attention to "none" I get the sane speed and VRAM. That and the missing mention of this in the cmd window makes me very suspicious if this is actually working.
Fah i think you should report it
Fbecause that shouldnt happen
DOkay I will do that, thanks.
DJust to cross off all posibilities; which nvidia driver do you have installed?
Jcan I train at higher resolution than 1024x1024 with this setup... dreambooth flux
Fyes but i didnt see much benefit
Fremoving it from dataset
For in prompt after training try to prompt carefully that would generate different side eye
PIs there any way to resume LoRa training after the overnight automatic Windows update that restarted my PC?
LHi all - followed the Flux training Lora guide/tutorial. Does my speeds seem correct for a 3090? It’s roughly 9 it/s using the level 2 workflow.
I keep seeing references to a “massive speed increase” with torch 2.5, but the 1 click installer has I believe installs 2.7? So I imagine that’s already implemented.
FluxGym is substantially faster, around 2 it/s, if memory serves me. But as I am just learning about all this, is a bit difficult for me to compare apples to apples/settings to settings. FluxGym while easy to use, doesn’t have the most friendly of interfaces when digging into additional settings.
I keep seeing references to a “massive speed increase” with torch 2.5, but the 1 click installer has I believe installs 2.7? So I imagine that’s already implemented.
FluxGym is substantially faster, around 2 it/s, if memory serves me. But as I am just learning about all this, is a bit difficult for me to compare apples to apples/settings to settings. FluxGym while easy to use, doesn’t have the most friendly of interfaces when digging into additional settings.
!how could i fix this?
F
Fyes already implemented
FFluxGym is not faster using different config
Fand a weaker one
Fmodel download looks like failed / missing
Fhugging face is down atm
!ah okay
!thanks for the reply, i've managed to fix it but now i run into this. Can this been the file is corrupted?
Fyep can be corrupted
LThat’s what I figured. Appreciate the response!
Fyou are welcome
Fserializing messages usually related to model corruption
JScammer
Fyep banned
PHi! I have a question, maybe someone can help me.
Can we retrain a fine-tuned model to create another fine-tuned model based on it instead of starting from Flux1dev?
Thanks!
Can we retrain a fine-tuned model to create another fine-tuned model based on it instead of starting from Flux1dev?
Thanks!
SWhat’s the best program or extension to use right now to make a sd model of myself
SI will take any recommendations
Fyes but it gets worse as you train also if same concept it will bleed
Fonetrainer
FYouTubeSECourses
In this tutorial, I am going to show you how to install OneTrainer from scratch on your computer and do a Stable Diffusion SDXL (Full Fine-Tuning 10.3 GB VRAM) and SD 1.5 (Full Fine-Tuning 7GB VRAM) based models training on your computer and also do the same training on a very cheap cloud machine from MassedCompute if you don't have such compute...
�I trained a flux lora on cicitai, and for testing i went with a real person. On generations, skin gets plastic and shiny...not like my dataset. Using heun beta 30 steps. Curious about what might cause this
Fcivitai training weak
Fsee my latest tutorial i shown myself trained result
FYouTubeSECourses
FusionX: The BEST AI Video Model? + FLUX Hyper-Realistic Upscaling (One-Click Setup!). Struggling to create high-quality AI videos and hyper-realistic images? This tutorial is your ultimate solution! I'm introducing the incredible new Wan 2.1 FusionX model and a game-changing 2x latent upscaler for the FLUX model, all made incredibly simple with...
F13:48 Generating a High-Quality Image with The Official FLUX Preset
14:50 Using Automatic Face Segmentation & Inpainting with FLUX
16:05 The Ultimate Upgrade: Applying The FLUX 2x Latent Upscaler Preset
16:32 Final Result: Comparing Standard vs. 2x Upscaled Image Quality
16:50 Outro & Sneak Peek of The New Ultimate Video Processing App
14:50 Using Automatic Face Segmentation & Inpainting with FLUX
16:05 The Ultimate Upgrade: Applying The FLUX 2x Latent Upscaler Preset
16:32 Final Result: Comparing Standard vs. 2x Upscaled Image Quality
16:50 Outro & Sneak Peek of The New Ultimate Video Processing App
MScammer