Whats the best upscaler model that allows commercial use?
Whats the best upscaler model that allows commercial use?
Ctopaz's models
Bcan they be intergrated into comfyUI?
Cno. they're propiratory and exclusive to topaz, and not free - but they are the best and you can use the output commercially
Byeah its not the output commercially im looking to do. Its for a the backend of a SaaS product.
Dcmon everyone, be nice to each other
D@Dr. Furkan Gözükara you can try flux finetuning with regularization and in the last epochs remove the regularization, may be the model get resemblance at the end but stays more flexible
Fit is an idea
Fmay work
Fi am testing each gpu config to get max speed
Fman this is taking time
Dflux-dev-de-distill is giving this error @kohya_tech is already informed and he said that he will fix it as soon a possible.
Fwow batch size 7 way faster than before
Fkohya did huge improvement
Ftraining takes under 2 hours haha
F3000 steps
F
Fah but my current speed test of batch size 7 not accurate
Fi need to give bigger
Fye made the images count 256 testing its speed again
Fye for 256 images not that fast 
Fso i guess best would be testing 14 images
D@crystalwizard You keep claiming that flux-dev can't be trained I was doing many tests with flux-dev-de-distill, I think that it can work. Its behavior on inference is completely different than regular flux-dev it works perfect without distilled cfg, what they did to model probably works, its behavior is similar to sdxl, if you prompt random you get random noise but if you prompt properly you get a perfect image, on regular flux-dev with distilled cfg you always get a coherent image, did you test it?
F14 images 200 epochs taking 3 hours
Fbatch size 7
Fso total 1$
Dgreat price!!
Cyeah. i spent a solid month testing flux
Fyep
Fnew configs
F
DTry this one https://huggingface.co/nyanko7/flux-dev-de-distill its behavior is completely different
Dthey did something to it, may be it surprises you
Ci know what they are doing, and it's not what they think they are doing.
Cplus - it's 100% impossible to put information back that's been removed if you don't know what it is - and they don't have the original weights.
D@Dr. Furkan Gözükara Kohya updated nyanko7/flux-dev-de-distill is training now.
DI agree you cant get that was deleted back, but it doesn't mean that you can't put new information on its place
Cbut that doesn't undo what was done, does it?
DI agree
Cif you have a bag of chocolate chips, i take them out, you have an empty bag. if i then put potato chips in it, do you have a bag of choclate chips again?
Cand even if i put more chocolate chips in it, do you ahve the same chips you had?
DWe want a functional model I dont care if it is identical to the original if it works
Dflux pro is private and we will never have it
Cyou'd be better off just using SDXL - what was done to flux was not only the distill process, but other things as well. those were done to try to fix an issue that the neural network has. that's resulted in flux being rigid, untrainable, and giving very strange results outside of a narrow window.
Cand the licenses do not allow you to modify flux the way that some people are trying to do
FPatreon
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Cflux by itself, if prompted correctly, doesn't need loras or fine tuned for any reason other than the very specific issue of you wanting to make images of stuff it can't possibly know about, anyway
DIDK I'm training a lora with many subjects on flux-dev-de-distill right now, kohya was updated some minutes ago and now supports the modified model
Dlets give it a chance
DI use SDXL too, but the quality is much worse
Cthere's no reason to train loras, or make fine tunes of flux, for any reason other than needing to be able to generate images of something it has no data at all about. the community, for some odd reason, thinks they can't generate without all those add ons. all it takes is learning how the model thinks, and then prompting it correctly