ArizonaDeviants

Group Info

This is a group for people on Deviant Art that also live in Arizona! Share your local events, share your art, share your adventure living in this beautiful desert! If you live in Arizona, this is the group for you!

Founded Dec 4, 2009

535 Members

4 Admins

31.4K Pageviews

Rules

No AI please.

While we know DeviantArt is full of amazingly talented members, we ask that submissions to this group be done by artists based in Arizona.

You may submit journals about upcoming events in Arizona, but keep in mind the admins will decide if they are appropriate or not. Also remember that anything posted by a member is NOT endorsed by the group. If it is a meet-up, attend at your own risk and be super safe!

As far as mature content goes, stick to DeviantArt's rules on the matter and you'll be fine here.

Be supportive to your fellow member! This is a safe haven were members are free to show off their talent without ridicule, spite, etc.

This is a Zero Tolerance group. We will ban and report any member posting racist, bigoted, sexist, slanderous, hate filled content in any form (art, comments, notes, etc.).

More Info

We want to inspire and assist, we hope all our members benefit from being a part of this group and we hope to offer a safe place for members to show off their abilities! Stay inspired, Arizona!

Posts

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RavynCrescent

Jan 19, 2024

Nightshade is here, and it's fighting AI!

4 min read

THIS IS EXCITING! Artists, check out https://nightshade.cs.uchicago.edu/ NightShade is Here! Download v1.0! Note: this version is standalone, i.e. without Glaze. Please be aware that a shaded image that is not Glazed is potentially vulnerable to style mimicry. We are testing and will release a combined version of Glaze/Nightshade when ready. Since their arrival, generative AI models and their trainers have demonstrated their ability to download any online content for model training. For content owners and creators, few tools can prevent their content from being fed into a generative AI model against their will. Opt-out lists have been disregarded by model trainers in the past, and can be easily ignored with zero consequences. They are unverifiable and unenforceable, and those who violate opt-out lists and do-not-scrape directives can not be identified with high confidence. In an effort to address this power asymmetry, we have designed and implemented Nightshade, a tool