Glaze is a tool designed to protect artists from AI style mimicry. It works by applying cloaks to images that prevent AI models from stealing the artist's style. These cloaks are image-specific and robust against various removal techniques. The tool is available as a desktop application and a web service (WebGlaze). The project is a research effort from the University of Chicago, aiming to protect human creatives against misuse of generative AI.
• stronger cloak leads to stronger protection
• robust against removal
• effective against different ai models
• image specific
The cloaks needed to prevent AI from stealing the style are different for each image. Our cloaking tool, run locally on your computer, will "calculate" the cloak needed given the original image and the target style (e.g., Van Gogh) you specify.
No, it has not. Since our initial release of Glaze on March 15, 2023, a number of folks have attempted to break or bypass Glaze. Some attempts were more serious than others. Many detractors did not understand what the mimicry attack was, and instead performed Img2Img transformations on Glazed art (see below). Other, more legitimate attempts to bypass Glaze include a PEZ reverse prompt attack by David Marx, the results of which he [posted publicly](https://twitter.com/digthatdata/status/1636386617392009224?s=61&t=cyq6W1GqajNrmhtWPVmJLg). Others thought that removing artifacts produced by Glaze was equivalent to bypassing Glaze, and developed pixel-smoothing tools, including AdverseCleaner by Lyumin Zhang, author of ControlNet. A few days after creating the project, he added a note on March 28, 2023 admitting it doesn't work as planned.
Glaze was designed to protect artists against art style mimicry, not img2img attacks. Since then, we have seen evidence to suggest that Glaze as a tool can potentially disrupt img2img attacks at very high intensity levels. From our limited tests, we observe that Glaze provides some protection against weaker img2img style transfers, such as built in functions in Stable Diffusion, but that protection against stronger img2img tools like controlnet require much higher intensity settings. At this time, we do not believe Glaze provides consistent protection against img2img attacks, including style transfer and inpainting.
There will not be a mobile Android/iOS version, but yes, we have WebGlaze! WebGlaze is a free-to-artists web service that runs Glaze on GPU servers in the Amazon cloud. It is paid by the SAND Lab, and access to WebGlaze is free for human artists who do not use AI. Any human artist can request an account invite for free, just by sending us a direct message on Twitter or Instagram (@TheGlazeProject on both). Once you create an account, you can log in to [WebGlaze](https://webglaze.cs.uchicago.edu), upload an art image, enter your email, select intensity, and hit go. WebGlaze runs glaze on the image, emails you the result, and then deletes all images immediately thereafter. WebGlaze will remain invite-only to human (non-AI) artists, because it does cost $ for us to run.
Thank you so much for thinking of us. It is important to us that we not only continue to provide Glaze to visual creators for free, but also extend its protective capabilities. If you or your organization may be interested in pitching in to support and advance our work, you can donate directly to Glaze via the [Physical Sciences Division webpage](https://physicalsciences.uchicago.edu/about/give/), click on "Make a gift to PSD" and choose "GLAZE" as your area of support (managed by the University of Chicago Physical Sciences Division).
Glazing works by shifting the AI model's view of your style in its “feature space” (the conceptual space where AI models interpret artistic styles). If you, like other artists, already have a significant amount of artwork online, then an AI model like Stable Diffusion has likely already downloaded those images, and used them to learn your style as a location in its feature space. However, these AI models are always adding more training data in order to improve their accuracy and keep up with changes in artistic trend looks over time. The more cloaked images you post online, the more your style will shift in the AI model's feature space, shifting closer to the target style (e.g., abstract cubism). At some point, when the shift is significant enough, the AI model will start to generate images in van Gogh's style when being asked for your style.
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