stable-diffusion-ui VS Dreambooth-SD-optimized

CMDR2's 1-Click Installer

Hey so i'm currently using easydiffusion but its missing one feature i've been really wanting to play around with recently. Video, and i've heard from some others that its one of the easiest to install but least peformant and worse options you can get; so what do you guys suggest?

Or just use the CPU and it works, just takes a few minutes. stable diffusion cpu But don't let me stop you, I need one too.

No. CUDA is very straightforward. There is even a nice project that sets up Stable Diffusion for you. With basically no knowledge about AI i was able to get it to run. If i recall correctly i just needed to install one dependency manually, and i was provided with nice web gui for playing with it.

You could read the guide first: https://github.com/cmdr2/stable-diffusion-ui/wiki/UI-Overview or Start easy diffusion

Thanks and your right there are loads, trying out this from GitHub

Simplest start https://github.com/cmdr2/stable-diffusion-ui

First is Easy Diffusion, you need to be online just once to run the installer. It downloads several extra files. Let it finish and then make some test pictures. Exit everything (browser window and text window). Then anytime you want to run it, just turn off internet and run the batch file to start it up. No internet!

Yesterday I got Easy Diffusion to work (on Windows only), but it refuses to use the GPU and instead uses the CPU, which of course, takes nearly an hour to make a 512x512 image.

Hey guys im quite new to dream booth i tried the one in stabel diffusion but wasnt really satisfied with the output. Im lloking for a external dreambooth that could be started with anaconda but doesnt need 24 gb Vram i only have 12 Gb. I tried gammagec / Dreambooth-SD-optimizedbut he says you need at least 24 GB

Using this GitHub https://github.com/gammagec/Dreambooth-SD-optimized from this guide https://pastebin.com/xcFpp9Mr

I had pretty good results with 20 images of myself, 200 reg images and 6000 step using https://github.com/gammagec/Dreambooth-SD-optimized.

I use Automatic1111 for SD and then Dreambooth Optimized https://github.com/gammagec/Dreambooth-SD-optimized to do custom models.

Gammagec Dreambooth-SD-optimized - https://github.com/gammagec/Dreambooth-SD-optimized

I use this dreambooth repo to train the SD model. https://github.com/gammagec/Dreambooth-SD-optimized Here's the video that shows how to install it in very good detail. https://youtu.be/TwhqmkzdH3s He uses it to train in a face but you can use it to train in a style as well. I suggest taking about 15 or 20 detailed frames of the video and training it in as a style for the class name. You'll have to experiment with how many training steps to take. I suggest doing 1,000 steps at a time and testing out the model. Also don't leave the default "sks", the researchers forgot that that's a common acronym if you know what I mean. Do something like my_style1 so the model doesn't get confused with something else.

I'm using this guide: https://www.reddit.com/r/StableDiffusion/comments/xpoexy/yet_another_dreambooth_post_how_to_train_an_image/ to train locally with this repo https://github.com/gammagec/Dreambooth-SD-optimized on windows. Needs a 24gb card though.