zlacker

[parent] [thread] 3 comments
1. Nition+(OP)[view] [source] 2022-05-24 08:52:48
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."
replies(1): >>zimpen+w6
2. zimpen+w6[view] [source] 2022-05-24 09:55:20
>>Nition+(OP)
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

replies(1): >>Nition+802
◧◩
3. Nition+802[view] [source] [discussion] 2022-05-24 20:40:31
>>zimpen+w6
Nice. Latent-diffusion has come out very traditional but the VQGAN/CLIP ones are fairly original.
replies(1): >>zimpen+u32
◧◩◪
4. zimpen+u32[view] [source] [discussion] 2022-05-24 21:04:54
>>Nition+802
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.
[go to top]