@Furkan Gözükara SECourses is there any way to pause the training for a while and resume again
@Furkan Gözükara SECourses is there any way to pause the training for a while and resume again
Pin masscompute
Pwhats the fastest way to upload 24 gb to huggingface ,or is possible to save to my pc local drive ?
Fwe have notebook
FPatreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
FReddit
Explore this post and more from the SECourses community
TWhat is different in this training?
Foptimizer
Fwe will see if they will perform better or not
AAdam?
Fi am testing adam varients and lion
Wcan you do some test about this, finetuning on this flux dev version
WReddit
Explore this post and more from the StableDiffusion community
Wpeople already merge file, now only finetuning and see the result: https://huggingface.co/georgesung/flux.1-dev-abliterated-merged/tree/main
�Can you test prodigy as well?
P@Dr. Furkan Gözükara which model is better for fine tuning with only 130 pics of a single person adn the dataset doesn't have much variations . Is SDXL+Dreambooth a good combo or FluxDev+Drreambooth a good combo.I want the best realistic photos
Fi tried but doesnt fit into 48 gb
Fflux is always the best atm
�for dreambooth or lora?
Fdreambooth
�Are you not testing lora?
Fnope
P@Dr. Furkan Gözükara so I was able to get 160 High Quality edited and retouched pics of the same person and 100 RAW ones directly from the camera .
Will it be a good idea to mix both types of pics as the edited ones have only face as the focus but the raw ones do have different body angles
So will it be better if I train Flux+Dreambooth with 160 edited+100 raw pics.total dataset of 260 pics
Will it be a good idea to mix both types of pics as the edited ones have only face as the focus but the raw ones do have different body angles
So will it be better if I train Flux+Dreambooth with 160 edited+100 raw pics.total dataset of 260 pics
Fit depends on purpose
Fif you want to get both outputs after training
Fyes you can mix
Fpaged optimizers are a great feature
Fthey utilize VRAM to maximum 
Fthose used ones are running training atm
P@Dr. Furkan Gözükara I mean can the fine tuning give good output,I want only single output I want retouched images only after outpit so if the output is not accurate sometimes,I can just use SUPR to upscale
Is this the right approach?
Is this the right approach?
PCan I use this flux model for training or the you told about in the video is the right one?
Cim watching a video for sdxl lora training rn where my boy says everything is for free, but the SDXL configs are behind a pay wall. can i find them here?
https://www.youtube.com/watch?v=0t5l6CP9eBg
https://www.youtube.com/watch?v=0t5l6CP9eBg
YouTubeSECourses
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...
Fthe video displays them keep watching
Cok, thank you so much - will do
Fyes this model best
Fin that case dont include retouched images
Ci just bought a 3090, trying it out for the first time with your tutorials 
P@Dr. Furkan Gözükara so the models command in the terminal automatically fetches this one right?
Fif you are using our downloaders yes
Fflux 1 dev
POk thanks
Fi hate slowness of runpod
Fyou waste at least 5x time to load and install something compared to massed compute
Fsometimes even more
PYeah massedcompute is really fast,I like it
P@Dr. Furkan Gözükara i want my model to get the body structure also correct so can I put some images in the dataset without cropping ,only resizing
Cif i am trying to create a character for myself like was done in these video, is it best to set this drop down in the top right to LoRa?
Cin the video it was on fine tune
Cand would that effect what settings i would want to use
CI’m also curious about number of images. I have 59 in my dataset. I noticed in the video you did 15 images x 200 epochs = 3000 steps.
I went ahead and did 59 x 100 epochs = 5900 steps and will look extra carefully at the models around epoch 5, I kinda just wanted the slack of the other epochs in case it’s under trained by then. thoughts on this? how many epochs would you go with? seems like with my hardware I’ll hit epoch 100/100 in 4-5 hrs
I went ahead and did 59 x 100 epochs = 5900 steps and will look extra carefully at the models around epoch 5, I kinda just wanted the slack of the other epochs in case it’s under trained by then. thoughts on this? how many epochs would you go with? seems like with my hardware I’ll hit epoch 100/100 in 4-5 hrs