-
automatic
SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
I found this thread on GitHub talking about how this was fixed in the latest version with an optional setting. I tried enabling it, as they mentioned, but it just resulted in an immediate CUDA out of memory error when starting generation. So it seems I'm actually needing the shared memory, which I assume is my issue.
-
Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
-
The Automatic setting in cross attention defaults to doggettx if it's the first option and you run out of VRAM. Select either Xformers or SDP-no-mem and restart A1111. Also, you'll need to use the medvram SDXL switch as specified here https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Optimum-SDXL-Usage --medvram-sdxl --xformers
-
Fooocus and u/runew0lf's RuinedFooocus are great options, but if you want to go deep, it's either A1111, SD Next or Comfy.
Related posts
-
Being a developer for A1111 extensions is less eye-appealing
-
Trying to install for AMD GPU, I'm not sure where I went wrong. Suggestions?
-
I've re-installed windows and all dependencies multiple times. "ImportError: DLL load failed while importing cv2: The specified module could not be found." Please help.
-
Is there a way to easily queue a series of ControlNet input in a1111? Or specify a1111 settings through a purely text-based interface?
-
"AI iS GoInG To rEPlAce mY jOb SoOn" Is something I have been hearing a lot lately. SO... I give this AI thing a go and it made a sex dungeon castle when I wanted a dark sunset sky.