stable.art VS fast-stable-diffusion

I am using Stable.Art and A1111 to integrate Stable Diffusion into Photoshop, I have followed the guides to the best of my abilities, modified the BAT file

Also this one: https://github.com/isekaidev/stable.art

I use this two: https://github.com/isekaidev/stable.art and https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin

I haven't tried it, but there's also this in case you haven't either: https://github.com/isekaidev/stable.art

depends on what you are trying to to do, if it's just some light inpainting and img2img I personally use this plugin: https://github.com/isekaidev/stable.art

I'd recommend Stable.art, more intuitive/simple UI but you still get to choose models/VAE's since it connects with what WebUI loaded.

Looks like stable.art to me, similar menus at least. Maybe look into that?

It was unique a great tool when It first came out. But Now I use OpenOutpaint extension for A1111 - https://github.com/zero01101/openOutpaint/wiki/Manual It a bit less comfortable to use, bit I can use it in A1111 and it's a plus. I also tried the StableART extension for Photohop - https://github.com/isekaidev/stable.art , I like the forkflow cuz it's in Photoshop and I am used to it interface and tools, it even forced me to upgrade my PS to latest one, but somewhy it generates worse quality images that A1111 and openOutpaint, and it has only basic A1111 functions. But I used it only for couple days, need to comapre more. :-)

But if you really hate CC, try stable-art, get the .ccx and install it manually by extracting it in PS plug-in folder.

I tried using TheLastBen's fast dreambooth trainer. I managed to train a ckpt file but I can't run it.

You have a colab from ThelastBen It uses to be thes best at the time when auto1111 was working in google colab free. https://github.com/TheLastBen/fast-stable-diffusion

Using https://github.com/TheLastBen/fast-stable-diffusion

This repo offers a template how to start with SD on runpod https://github.com/TheLastBen/fast-stable-diffusion. But I know how to code, si I made my own solution.

I can confirm I'm using the latest version of the colab notebook of this repo (https://github.com/TheLastBen/fast-stable-diffusion). Anyone can point to any solutions to this problem? Thanks in advance!

TheLastBen's Fast DB SD Colabs, +25-50% speed increase, AUTOMATIC1111 + DreamBooth

CalledProcessError Traceback (most recent call last) in () 182 wget.download('https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/det.py') 183 print('Detecting model version...') --> 184 Custom_Model_Version=check_output('python det.py '+sftnsr+' --MODEL_PATH '+MODEL_PATH, shell=True).decode('utf-8').replace('\n', '') 185 clear_output() 186 print(''+Custom_Model_Version+' Detected')

have you tried https://github.com/TheLastBen/fast-stable-diffusion ?