coronavirus VS VQGAN-CLIP

How difficult world it be to set up Folding@home on these? https://foldingathome.org

My personal recommendation would be Folding@Home[1]. Protein folding is an insanely complex thing life does and they use distributed computing to try to solve the large problems.

1. https://foldingathome.org/?lng=en

Context: Banano team is the top contributor to Folding@Home which is a philanthropic project that uses computing power to help study complex proteins involved in disease research, seeking preventions and cures! https://bananominer.com/ https://foldingathome.org/

A major and essential part of the Banano culture is helping fight various diseases through the use of Folding at Home. You can join the team here at Banano miner and earn Banano whilst contributing to science. For almost two years Banano has been the top contributor other than the default team. For more information on this check out Folding at Home statistics.

foldingathome.org try this op

Others could be used for folding@home. If you want to try it

VQGAN-CLIP

I've screwed with many text-to-image models over the past couple of years, and I found that while I currently enjoy Stable Diffusion's coherency, I have a soft spot for the ImageNet model used by default for VQGAN+CLIP. It easily approaches the uncanny valley when generating people or animals, but makes for great abstract backgrounds and wallpapers. I already have nostalgia for generating images with it on my CPU overnight.

For someone only tangentially familiar with this space, how is this different than e.g. https://github.com/nerdyrodent/VQGAN-CLIP which you can also run at home? Is it the quality of the generated images?

Used https://github.com/nerdyrodent/VQGAN-CLIP

I don't have any of the DALL-Es but I do have a couple from github [1], [2] which gave these outputs[3]

[1] https://github.com/nerdyrodent/VQGAN-CLIP

If you want to try your hand at buggering your whole system - try playing with AI image generation as it uses all possible computer assets :D . There is a lot of forms and installations for those but I VQGANs from github the easiest. Problem is that some require familarity with shell, python and in some cases - you need to enable the Linux subsystem in Windows (is it called a subsystem? it is not exactly a VM). This one is the easiest to install out of all I tried. But I liked the results of Pixray most but I wrecked it. I use this one nowadays.

For those that are interested, I used VQGAN-CLIP, specifically this GitHub repository