These models do not contain copies. One way to describe the data is they contain a statistical breakdown of the artwork, which is substantially different from a JPEG -> PNG conversion you mention.
These models do not contain copies. One way to describe the data is they contain a statistical breakdown of the artwork, which is substantially different from a JPEG -> PNG conversion you mention.
Here's a whole paper, complete with citations:
https://arxiv.org/pdf/2212.03860.pdf
> These models do not contain copies. One way to describe the data is they contain a statistical breakdown of the artwork, which is substantially different from a JPEG -> PNG conversion you mention.
I don't understand the distinction you're making. What legally separates a "statistical breakdown" representation from a zip file representation, JPEG representation, PNG representation?
Food for thought: if I write instructions for generating an SVG of a black square, does my program contain copyrighted material (Malevich's Black Square)? You and I could argue about that, but you will probably quote more research that disproves your own point. So let's skip that.
If you're convinced that a photo of Mickey Mouse with slightly larger ears, or slightly reddish pants isn't copyright infringement, then sure, neither is any of this stuff. It would also mean that republishing copyrighted images with lossy compression algorithm (IE, JPEGs) would also not violate copyright.
I would suggest looking at the actual laws around copyright instead of relying on what you feel copyright should be.
Isn't this already well-established? For example, this image, used in The Simpsons:
https://static.simpsonswiki.com/images/d/d4/Mickey_Mouse.png
is clearly Mickey Mouse in intent, but not in a copyright infringing way.
Also, that usage of Mickey Mouse might be copyright infringing, but fall under fair use (probably parody), which is a specific defense of copyright infringement (similar to "self defense").
What I am saying is that:
1) If your model returns images which look near-identical to your training data, then any copyright infringement that applies to the training image will also apply to your image.
2) If your model can consistently return copyrighted imagery, there's little difference between explicitly sharing those images (with a password) and implicitly sharing them (via a model + prompt).