zlacker

>>kevema+(OP)
Would be fascinated to see the DALL-E output for the same prompts as the ones used in this paper. If you've got DALL-E access and can try a few, please put links as replies!

>>benwik+L6
Posting a few comparisons here.

https://twitter.com/joeyliaw/status/1528856081476116480?s=21...

>>joeyco+Pf
Looking at these… I can’t help but wonder if these are literal examples of AI imagination?

>>dclowd+b41
I've started to ask myself if my own creativity is a result of random sampling from the diffusion tapestry of associated memories and experience on that topic.

>>joeyco+z41
I do wonder what Dall-E 2 would output for a request along the lines of "A still life of a vase of flowers in a completely new art style."

>>Nition+Bj1
Don't have access to Dall-E 2 or Imagen but I do have [1] and [2] locally and they produced [3] with that prompt.

[1] https://github.com/nerdyrodent/VQGAN-CLIP.git [2] https://github.com/CompVis/latent-diffusion.git [3] https://imgur.com/a/dCPt35K

>>zimpen+7q1
Nice. Latent-diffusion has come out very traditional but the VQGAN/CLIP ones are fairly original.

>>Nition+Jj3
From my experiments, the LD one doesn't seem to have been trained on as big or as tagged data set - there's a whole bunch of "in the style of X" that the VQGAN knows* about but the LD doesn't. That might have something to do with it.