art 
that doesn't work either
https://nightshade.cs.uchicago.edu/whatis.html
It creates blatantly visible artifacts that cover up fine detail:
https://twitter.com/sini4ka111/status/1748378223291912567
It doesn't even work on modern training processes:
It's utter snake oil.
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Your screenies don't support that claim (it's actually pretty difficult to test):
Describing an image is not the same as learning to draw an image.
The point of nightshade/glaze is to prevent an image from being useful for training of the next version of SD or Dall-E or whatever.
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Not really. Furries did it, and the main dev coped about it on twitter saying that it's not possible to test nightshade locally since they had to use A100 clusters to do so.
Which is completely r-slurred if you think about it since that would mean local training is somehow immune
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Uh bro, training a model like SD does indeed require something akin to an A100 cluster.
did what exactly?
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Pretraining maybe, fine-tuning certainly not. It's perfectly doable locally on 3090s, and it's much cheaper than renting clusters.
Finetuned base SD1.5 (the model most exposed to the "poison") with a poisoned dataset for a significant number of steps, with very little to show in favor of nightshade.
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I agree insofar that these kinds of obfuscation methods are not useful for preventing people from recreating a specific artist's images, unless perhaps she has a very unique style. If the original dataset (used for training the base model) already contained images with the elements necessary to recreate a given image, obfuscating that image (in a way that leaves it recognizable for humans) won't prevent the base model from being able to recreate it.
if that's what you want to call the first 99.9% of training...
do you have a link?
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Which then no one uses since base SD1.5 is garbage at anything people actually want it to generate (realistic/anime/furry porn), which needs significant finetuning. Pretraining is always left to researchers who get clusters since weight initializing is the boring part of ML.
It's all in a groomercord thread on the furry diffusion server, they mostly wanted to know if there was a need to filter and counter it.
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This but unironically, 99% of people only care about this part
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Who are you quoting?
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base SD1.5 is garbage at anything except of course without it you wouldn't be able to do anything at all lol.
"finetuning" is just nudging a fully finished model in a desired direction.
So it's probably safe to assume they don't know what they're doing or what they're testing?
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Completely r-slurred. SD 1.5 is a eps-prediction NLP model trained on 512x512 images, current models are v-prediction tag-based models trained with aspect ration bucketing on 1088 base resolution. There's a significant difference between them both in terms of training time and underlying training tech.
Not even mentioning the garbage dataset used for base SD1.5 training, looking at LAION for a split second will tell you that.
They are the main group of trainers, most current local models come from them, so they definitely know way more than these grifters.
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those "current models", were they built from scratch or on top of some existing model that cost a couple million dollars to train?
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