Home
Artists
Search Recent Random
Posts
Search DMs Popular Hash Lookup Tags Random
Importer
Import FAQ
Register
Partychan Telegram Find&Fuck Waifus ThePornDude
Home Artists Posts Import Register

My new hardware arrived yesterday. (Patreon)

Published:
2022-09-23 18:13:35
Imported:

Content

Got a new SSD, a 3080 and two memory ram of 16gb.

The computer just had an upgrade from 4vram to 12vram and 8gb ram to 32gb.
Did not had the time to finish installation of all my applications on the new SSD, but I can already tell it will help a lot developing my apps.

There is the speed increase in testing the software and options that I could not even test it, like 32float and batch rendering.


So the next update will be better tested, hopeful it will have less bugs =p

Comments

Anonymous

Nice! congratulations! i need to upgrade my G card too but it takes a lot of effort lol

Anonymous

The fact you were able to make this much software with those specs.

Anonymous

More game companys need to step up their game ;)

DAINAPP
>>92210505

That's easy, I developed Dain-App for months without been able to run the app because I did not had a Nvidia card. (Thanks to all my Patreons who helped me test it back then)

Anonymous

I’m glad you were able to meet your goal! Look forward to what’s to come. Would love to be able to use any model in this gui just by dropping it in models folder since a lot are starting to pop up. Though I quickly realized that didn’t work at all. Lol… I mean is it possible? I have the .ckpt files but like I tried just throwing them in the models folder. Though it didn’t load up in the gui. I guess they are called “fine tuned models?”

Anonymous

Grats - this is awesome for you!

Anonymous

Nice!! Do you think will you be able to use both GPU to sum their VRAM and power procesing in one render? I also have 2 GPUs a 3080 and a 3060Ti

Anonymous
>>92210505

You are welcome! The app will be free released or only in this paid patreon?

Anonymous

Google's DreamBooth has been modified to run in a 24GB VRAM environment. Since DreamBooth's accuracy is so much better, it may be worth considering if it can be implemented as an option for Grisk AI SD. https://github.com/gammagec/Dreambooth-SD-optimized This is an implementtaion of Google's Dreambooth with Stable Diffusion. If something like this could also be realized with Grisk AI's GUI, it would change the world.

DAINAPP
>>92297446

This really take 24vram? I can't even run this, even if I want to develop a GUI for it 🤣 Will save the link and take a look soon, but it need to be able to run with 12vram so I can give it a shot.

DAINAPP
>>92251807

Not for now, multiple GPU usage is a little more complex. For now you will be able to open 2 GUI and use a card for each.

DAINAPP
>>92216237

.ckpt files will not work, since they need to be compiled with exactly the correct code. You need to find models trained with the Diffusers base and use my tutorial to add the models.

Anonymous
>>92297446

Apparently it has been modified to work with lower VRAM. In any case, it may only be a matter of time before it can be used with even lower VRAM. https://www.reddit.com/r/StableDiffusion/comments/xphaiw/dreambooth_stable_diffusion_training_in_just_125/ "Dreambooth Stable Diffusion training in just 12.5 GB VRAM, using the 8bit adam optimizer from bitsandbytes along with xformers while being 2 times faster." Colab: https://colab.research.google.com/github/ShivamShrirao/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb Code: https://github.com/ShivamShrirao/diffusers/blob/main/examples/dreambooth/

Anonymous

https://github.com/ShivamShrirao/diffusers/tree/main/examples/dreambooth

Anonymous

Above Under 12gb now :)