zlacker

>>zacwes+(OP)
> Sta­ble Dif­fu­sion relies on a math­e­mat­i­cal process called dif­fu­sion to store com­pressed copies of these train­ing images, which in turn are recom­bined to derive other images. It is, in short, a 21st-cen­tury col­lage tool.

Just no, that's not how any of that works.

I guess that lie is convenient to legitimate the lawsuit.

>>realus+S2
It's a pretty funny assertion. The whole point of ML models is to take training data and learn something general from it, the common threads, such that it can identify/generate more things like the training examples. If the model were, as they assert, just compressing and reproducing/collaging training images then that would just indicate that the engineers of the model failed to prevent overfitting. So basically they're calling StabilityAI's engineers bad at their job.

>>idle_z+t3
As a side discussion, is there any research model which tries to do what they describe? Like overfitting to the maximum possible to create a way to compress data. It might be useful in different ways.

>>realus+k9
Yes, look at NeRF (neural radiance fields) and SIREN (Implicit Neural Representations with Periodic Activation Functions)