4 ms·
I wonder if this works for Stable Diffusion as well...
by RestlessAPI 3y ago
I wonder if this works for Stable Diffusion as well...
- samus 3y agoThere are transformer-based approaches to vision models. It should work for those.
- _lvbh 3y agoFrom what I understand, Stable Diffusion starts out with random noise that is then step by step made into the final image. Randomness is there at the beginning. Current LLMs first find the n most likely next token and only then gets randomness on the choice among the top-n. This injects randomness to the initial search for the top-n. So I think, from my ignorance, that Stable Diffusion is already doing this in some sense