If RunPod gives me advantages though, I would rather spend a little money for those advantages. Kag
If RunPod gives me advantages though, I would rather spend a little money for those advantages. Kaggle isn't exactly fast.
![Digital [Starburst]](https://cdn.discordapp.com/avatars/220961909447458817/8ecbbb3132fc6e44312f3d6d2ae3df69.webp?size=16)
Frunpod is way better than any paid service
Fbut if you want free kaggle is best
![Digital [Starburst]](https://cdn.discordapp.com/avatars/220961909447458817/8ecbbb3132fc6e44312f3d6d2ae3df69.webp?size=40)
DSo I have ComfyUI running on Colab. It's really slow, but it says it is connected to a T-4 GPU. I get errors saying that the version of Pytorch is 12.0 but the version of Cuda is 11.8 and they aren't compatible which leads me to believe that's why it is slow. The other possibility is that I need a pod running. I don't know for certain how it works yet. I added a piece of code to install the ComfyUI_Manager to it, but even though the custom_node is present it isn't showing up in the interface. Not sure what I did wrong there. I know enough linux to check directories and by using commands you already have in your code it installed.
Twhy this error keep on showing 'Nonetype' object has no attribute? while start render the stable diffusion
can anyone explain why and how so that i can rectify. pls help
can anyone explain why and how so that i can rectify. pls help
Fwith colab problem is we cant make venv
Ftry latest dev version of automatic1111
Tok sir
Tcan you share me a link pls
Ti cant find it in Git
TFopen your automatic1111 installation folder in cmd
Ftype
Fgit checkout dev
Ftype
Fgit pull
TOK
Tstill same i dont know what to do
Tsorry to bother you sir
Fah you are trying deforum
Fi havent used it yet
Fi would try to do a complete fresh install
Ti did twice
Fmaybe your used model is not supported
Ti took the model for civit.ai
Trev animated
Twhich model supports this dev automatic 1111
Teven youtube videos tutorial are not working
Fok i just noticed your error
Fyou have 2 GB having GPU
Fyou wont run it
Tso what can i do ?
Fyou need to get a new computer
For use cloud services
Fwe have kaggle uaotmatic1111 notebook
FYouTubeSECourses
You want to use Stable Diffusion, use image generative #AI models for free, but you can't pay online services or you don't have a strong computer. Then this is the tutorial you were looking for. By watching this tutorial, you will learn how to use Kaggle free cloud service with famous Stable Diffusion #Automatic1111 SD Web UI as easy as it is ru...
Fif you prefer runpod is better but paid
Tmm kk
Tthank you sir
DAh I see. Can you make a venv if you use RunPod (a paid account)?
DEr I guess a Colab paid account, and how far will 100 units get you?
Fnot sure about colab venv
Fbut runpod you can do anything
Ri am not that geeky and just about to get started with SDXL since i didn't have the hardware before to run it properly.
i assume SDXL is now possible to be run locally, is there any upto date simple tutorials i can follow to setup SDXL to get started, nothing fancy.
i also assume 16 GB vram would be enough to run SDXL at a reasonable speed
i assume SDXL is now possible to be run locally, is there any upto date simple tutorials i can follow to setup SDXL to get started, nothing fancy.
i also assume 16 GB vram would be enough to run SDXL at a reasonable speed
Rif it isn't too much to ask for , does there exist any 1 click installs for SDXL ? that is not locked behind a patreon paywall?
F16 gb is great for inference
Fi only have installers on patreon
Fbut you can follow these 2 too install manually
FYouTubeSECourses
How to install Python, have multiple Python installations, set system wide default Python version. How to compose venv for any Python installation, change Python default path, and install SD web UI properly. Discord: https://bit.ly/SECoursesDiscord.
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