3 ms·
Not an expert at all, but maybe because the accuracy of a LLM needs to be higher than Stable Diffusion. Pictures can just 'look' good. But text very quickly can
by POiNTx 4y ago
Not an expert at all, but maybe because the accuracy of a LLM needs to be higher than Stable Diffusion. Pictures can just 'look' good. But text very quickly can be 'off'. Put one word in the wrong place and the entire thing doesn't make sense anymore. And there's overall context you need to take care of, can't repeat and can't go off the rails too much.
A picture at the end of the day is a 512x512 grid and there's many many combinations that would pass as a good result.
- sebastiennight 4y agoThis!!! I think the secret reason is that, on first glance, we are totally OK with six fingers in the picture. On closer examination we might balk at this but we won't notice if the "brush stroke" in a painting is slightly off (e.g. discontinuous in color by a few hues of red here or there). In language, we would definitely notice a missing, or a Japanese word in the 中 of an English text. So maybe the best and largest current image is just equivalent to GPT-1 in precision... but we just don't notice because our brains "smooth out" the imperfection.