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> Stable Diffusion (and similar tools) fall in this last category of truly disruptive technologies. I really don't see it. What tools like SD, DALL-E etc do is essentially similar to what Google Image Search does, except that the results are presented differently - instead of showing you the results it has indexed in some order, it picks features from the results it has trained on with some priority, and presents a kind of amalgam view of the entire collection at once. The only significant advantage compared to Google Image Search is that AI-generated art is getting around copyright, allowing you to publish it legally under your own name. This makes it very similar to Uber, which got around taxi regulations that were impeding market access. Essentially, if we ignore copyright, there are relatively few illustration problem you could have where DALL-E/SD/... would help more than searching for an existing image. Branding is an obvious one, where the need for unique-ness is not only legal, but also practical. The other is that DALL-E/SD/etc can also sometimes produce combinations of unrelated images, thought that is offset by just how bad their results are in other places where there is plenty of existing art to choose from (especially anything involving images of humans). |
This is probably true if you want a single image, but if you want many images that look consistent with each other then google images will be little help. Stable diffusion with textual inversion can just about do it though. I would imagine in a few years it will be able to do that better than it can currently generate a single image.