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                          Unstable Confusion

                            Proudly Present
							
                             A Demo Called
							
                          "Throwback Throwup"

                              Released At

                     TRSAC 2022 in Aarhus, Denmark
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We accidentally a full demo /o\ Cables is just too good <3
Almost all images in this demo were AI generated using Stable Diffusion.
Tweaking prompts is fun, so we made a demo about it.

Credits:  

Effects & Cable Wrangling: dojoe & draugven
Music and SFX: SunSpire
GFX & Stable Diffusion: D.Fox

Made with cables.gl, which we are glad exists.
Thanks a lot to pandur, steam and kb for cabling support <3
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What is this?

This demo is intended to be a throwback and hommage to demos from the
late 90s and early 2000s as well as a showcase for artifically
generated assets in a demoscene context, which was done by using
Stable Diffusion 1.4.

So - instead of talking about the merits and pitfalls of this emerging
technology, we "made a demo about it" - as one should.

We started this spontaneously about three weeks before the party and
didn't have any previous experience using cables.gl.

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Artificially generated images?

In addition to the use of the basic Stable Diffusion model, we
experimented with training the model to generate images of ourselves
by using Textual Inversion. This turned out to be a time intensive,
iterative process and it took us more than a week to produce the first
usable results. Overall, training our four faces took close to 100
hours of calculations, most of which were done on the Google Colab
infrastructure with high-end GPUs.

What turned out to be close to impossible was the creation of a
repeatable, coherent art style. Over three weeks, we generated more
than 15.000 images from which > 99% were unusable or unsuitable for
what we imagined. The calculation of the image took about one minute
each, resulting in a computing time of about 250 hours on an 
Apple M1 Pro Max.

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Links:

https://stability.ai/blog/stable-diffusion-public-release
https://textual-inversion.github.io/
https://trsac.dk