Well, every website I find is either crashing either not working on mobile.
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If you’re mobile-only, that’s probably going to be a problem.
The only tools I know are Glaze and Nightshade. Think of them as defense and offense, respectively. They both introduce subtle changes to your image that make it harder for AI to use it. Well I say subtle - the stronger the protection the more noticeable the effect is to the human eye.
Glaze is defense, meaning AI can’t use the image to imitate your style. I don’t personally use it because I’m simply not well-known enough for anyone to want to specifically imitate my nonsense.
Nightshade is offense, it poisons the AI’s data with useless information. Basically it makes the AI think that an image of, say, a cat is a chimney. That’s what I use on anything I upload.
You can use both, though I don’t remember if there’s a recommended order in which to use them. The effect will then also be more noticeable. If you decide to use one or both, you should play around with the settings to see what’s tolerable to you and what makes sense for an individual image.
Last time I looked, they were working on a mobile solution but I haven’t heard anything on that front, unfortunately.
I saw this note on the nightshade website:
For now, if you want to shade your own art, you should Nightshade it first, then Glaze it for protection.
I think it would be neat if people could donate computer time to artists to run nightshade, but it doesn’t look like there’s a docker image with a web UI I could host.
Oh nice, I seem to have missed that.
Donating computer time would be a fantastic idea.
Post them privately, or not at all.
Especially if you want to sell anything. Then only post your art in that store.okay what if my art is so crap if I try to sell it nobody will even buy it
Maybe you should want to feed that to an AI then.
Not an expert on this topic but I’ve read about it a fair bit and tinkered around with image generators:
You don’t post them, basically. Unfortunately nothing else will really work in the long term.
There are various tools – Glaze is the first one I can think of – that try to subtly modify the pixels in the image in a way that is imperceptible to humans but causes the computer vision part of image generator AIs (the part that, during the training process, looks at an image and produces a text description of what is in it) to freak out and become unable to understand what is in the image. This is known as an adversarial attack in the literature.
The intention of these tools is to make it harder to use the images for training AI models, but there are several caveats:
- Though they try to be visually undetectable to humans, they can still create obviously visible artifacts, especially on higher strength levels. This is especially noticeable on hand-drawn illustrations, less so on photographs.
- Lower strength levels with fewer artifacts are less effective.
- They can only target existing models, and even then won’t be equally effective against all of them.
- There are ways of mitigating or removing the effect, and it will likely not work on future AI models (preventing adversarial attacks is a major research interest in the field).
So the main thing you gain from using these is that it becomes harder for people to use your art for style transfer/fine-tuning purposes to copy your specific art style right now. The protection has an inherent time limit in it because it relies on a flaw in the AI models, which will be fixed in the future. Other abusable flaws will almost certainly remain and be discovered after the ones currently used are fixed, but the art you release now obviously cannot be protected by techniques that do not yet exist. It will be a cat-and-mouse game, and one where the protection systems play the role of the cat.
Anyway, if you want to try it, you can find the aforementioned Glaze at https://glaze.cs.uchicago.edu/. You may want to read one of their recent updates, which discusses at greater length the specific issue I bring up here, i.e. the AI models overcoming the adversarial attack and rendering the protection ineffective, and how they updated the protection to mitigate this: https://glaze.cs.uchicago.edu/update21.html
Recently, Glaze is now known to be easily bypassed with trivial effort on most available commercial (and also most free self-hosted) Diffuser models.
I know about this tool, but haven’t used it myself
https://glaze.cs.uchicago.edu/
Glaze is a system designed to protect human artists by disrupting style mimicry. At a high level, Glaze works by understanding the AI models that are training on human art, and using machine learning algorithms, computing a set of minimal changes to artworks, such that it appears unchanged to human eyes, but appears to AI models like a dramatically different art style.
