discoart VS Disco_Diffusion_Local

Just look at basic Python syntax and read through the discoart readme and it should all make sense :). If you still get lost, me and other people are always here to help more

just install latest Python from official page, then PyTorch from here (make sure it's some of the CUDA versions) and then follow the steps here and you should be good to go

discoart is a python library that significantly simplifies interacting with disco diffusion. Install the library with pip, a single import statement, and call the create() function and you're running. I've used it with a Google Colab sheet set to use a GPU runtime and had a good time generating until I hit Big G's limits.

try out discoart! Takes a bit of practice though

I am using Ubuntu, Anaconda, and all installs as GitHub instructions say: https://github.com/MohamadZeina/Disco_Diffusion_Local

I tried DD on a Colab notebook but wanted to run it locally for faster render times. I’m now trying to use this package to run DD locally.

Initially I used this guide to setup a pytorch wsl environment but I installed a newer anaconda version (should be self explanatory when you reach this step), this environment works also fine for the newer DD 5.6 and my fork too.

I just followed the tutorial from MZ (https://github.com/MohamadZeina/Disco_Diffusion_Local) even if I never touched anything similar in my life (just have an artist background why I’m interested in doing more AI generated Art)

I used this repo to setup a local 5.2 instance.

Here’s a guide on how I ran this locally on my windows machine :). After I wrote this I saw that something similar has been posted here already - my approach is slightly different so some may find it useful.