AdverseCleaner Alternatives

AdverseCleaner reviews and mentions

• An image preprocessing tool to protect artworks from AI-for-Art based mimicry
  1 project | news.ycombinator.com | 24 Aug 2023

  These tools do not work in the real world for several reasons: first, people who train LoRA or models curate their datasets, removing adversarial noise is trivial: https://github.com/lllyasviel/AdverseCleaner; second, if they are trying to defend themselves against training AI models, then it will probably do almost nothing at all, models trained from scratch will learn the distribution, even one where the samples have adversarial noise (which can only attack a frozen model, like a VAE), SDXL has a new VAE, so the VAE will just be more robust if there is adversarial noise on the images, because it will learn to ignore it, many other models do not have a VAE to begin with.

  Also, resizing the image (as is almost always done when training the model) will probably destroy most if not all of the adversarial noise.

• Image Restoration vs Glaze
  1 project | /r/DefendingAIArt | 27 Jun 2023

  Glaze's new FAQ says that no one has bypassed Glaze yet and ignores that two papers have already suggested it's simple to bypass. They say that AdverseCleaner doesn't work and show a quote from the creator that suggests it doesn't. Has anyone else tried image restoration techniques like ESRGan or SwinIR? They seem to completely neutralize Glaze.

• Can artists protect their work from AI? – BBC News
  1 project | /r/ArtistHate | 18 Jun 2023

  GitHub - lllyasviel/AdverseCleaner: Remove adversarial noise from images

• Why you should NOT glaze/mist your work (for now). A view into what that actually does for you.
  1 project | /r/ArtistHate | 5 Jun 2023

  I appreciate the warning since it is done out of good faith, but I would still like to disagree with you. I tested many of these adversarial noise removers, such as "AdverseCleaner" (https://github.com/lllyasviel/AdverseCleaner), and they simply don't work, they don't remove the noise and just smooth it out to make it less noticeable. As long as you use a high enough strength, these cleaners will not be effective.

• ControlNet and A1111 Devs Discussing New Inpaint Method Like Adobe Generative Fill
  2 projects | /r/StableDiffusion | 30 May 2023
• Glazing, Noisifying, Bluring, Pixelizing, Lineifiction...
  1 project | /r/DefendingAIArt | 18 May 2023

  Also, aren't most of those techniques beaten by some 16 lines Python scripts, like https://github.com/lllyasviel/AdverseCleaner?

• the anti-AI lobby
  1 project | /r/CuratedTumblr | 25 Mar 2023

  glaze doesn't work (needs millions of glazed images to poison ai models) and also stole code and can also be beaten in 16 lines of code

• any Anti-glaze or Glaze-Decrypt In planning?
  1 project | /r/StableDiffusion | 24 Mar 2023
• Full source code of Glaze is leaked. I'm curious if someone with knowledge is able to reverse engineer this techinque for enhanced model training with minial style interference.
  2 projects | /r/StableDiffusion | 24 Mar 2023

  adverse cleaner (repo owned by the author of controlnet): https://github.com/lllyasviel/AdverseCleaner

• 16-line Python code for removing adversarial noise from images
  4 projects | /r/StableDiffusion | 24 Mar 2023

  This article is about adversarial noise. Check the https://github.com/lllyasviel/AdverseCleaner/blob/main/clean.py. In simple words, it reads an input image, applies the bilateral filter multiple times to remove noise, applies the guided filter multiple times to remove adversarial noise, and writes the resulting denoised image to an output file.

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