By this logic, you can copy a copyrighted imege as long as you decrease the resolution, because the new image does not contain all the information in the original one.
Just because something is defined legally instead of technologically, that doesn’t make it vague. The modification violates copyright when the result is a derivative work; no more, no less.
In the case of Stable Diffusion, they used 5 billion images to train a model 1.83 gigabytes in size. So if you reduce a copyrighted image to 3 bits (not bytes - bits), then yeah, I think you’re probably pretty safe.
Your calculation is assuming that the input images are statistically independent, which is certainly not the case (otherwise the model would be useless for generating new images)
Of course it’s silly. Of course the images are not statistically independent, that’s the point. There are still people to this day who claim that stable diffusion and its ilk are producing “collages” of their training images, please tell this to them.
The way that these models work is by learning patterns from their training material. They learn styles, shapes, meanings. None of those things are covered by copyright.
By this logic, you can copy a copyrighted imege as long as you decrease the resolution, because the new image does not contain all the information in the original one.
Am I allowed to take a copyrighted image, decrease its size to 1x1 pixels and publish it? What about 2x2?
It’s very much not clear when a modification violates copyright because copyright is extremely vague to begin with.
Just because something is defined legally instead of technologically, that doesn’t make it vague. The modification violates copyright when the result is a derivative work; no more, no less.
What is a derivative work though? That’s again extremely vague and has been subject to countless lawsuits seeking to determine the bounds.
More like reduce it to a handful of vectors that get merged with other vectors.
In the case of Stable Diffusion, they used 5 billion images to train a model 1.83 gigabytes in size. So if you reduce a copyrighted image to 3 bits (not bytes - bits), then yeah, I think you’re probably pretty safe.
Your calculation is assuming that the input images are statistically independent, which is certainly not the case (otherwise the model would be useless for generating new images)
Of course it’s silly. Of course the images are not statistically independent, that’s the point. There are still people to this day who claim that stable diffusion and its ilk are producing “collages” of their training images, please tell this to them.
The way that these models work is by learning patterns from their training material. They learn styles, shapes, meanings. None of those things are covered by copyright.