As you had said in the long tutorial that checkpoints can be saved midway so I proceeded with 4 chec
As you had said in the long tutorial that checkpoints can be saved midway so I proceeded with 4 checkpoints 
Fyou can. but you have to monitor
Fas soon as saved upload to huggin gface
Fand delete :d
Fit saves the checkpoint
Fand continue training
PSo is checkpoint 1 completed here?
PIn the screenshot
Fyes saved
Fcheck folder
Pbut why the individual epochs are still in process none is 100% complete
PI am getting confused
Fwhat do you mean?
Pi mean for checkpoint 1 the epochs status bar is not fully filled.does every epoch status need to be filled till 100% ?
Fit shows entire progress
Fit is steps based training actually as you see
Pok ok got it so checkpoint is safe to upload to huggingface and deleted from the instance right?
Pcheckpoint 1
Pok thanks for clearing my doubt doctor
Fsure no issues
P@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
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FReddit
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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
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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 