@coin yeah, and this is pretty much standard XL, if you see how far SD 1.5 has come from SD 1.5 base to current finetunes, i'm really expecting a lot SDXL in the future
@waltercool this one's axtually dreamshaper xl, so it's already a bit better, but the one you linked doesn't seem to suffer from the softness that much, i'll try it out
@piggo it's trained on 1024x1024, so you essentially get high-res images without upscaling. it's also has a two-tiered setup with a base model and a refiner model that adds details. Overall i wouldn't say it's better than a tuned 1.5 yet, but if you've ever used 1.5 base you know how bad it is, and XL base gives pretty good results already
@lain 1024 sounds exciting. So basically I don't have to buy a new GPU just yet, but the time is coming. Vanilla SD is indeed crap, but some models make really good results even with like 8 inference steps
... although you can jack off to 512px just fine also
@piggo i think 1.5 is still more versatile and can get you to the high resolutions with more advanced techniques (controlnet, upscalers, etc), but it's a great start.
@lain I dunno if I did it wrong, but I tried upscaling and it was mostly quite mediocre and fuzzy, not worth the time. This is with "stable diffusion UI"
@lain@coin Yep, we're only just starting to see some finetunes getting merged for SDXL. The best 1.5 checkpoints by now are a convoluted tree of finetunes and merges, so we're still in the very early stages of building that for SDXL. https://civitai.com/models/124419?modelVersionId=136753
As of now, I find the most interesting thing to do is check how SDXL fares with things that SD 1.5 had a hard time doing. Like raccoons :blobraccoon:
@piggo@lain I run it with same number of steps as original pass (set to 0 steps), and the choice of upscaler matters. Latent isn't good. I like 4x Valar and I know a lot of people use 4x UltraSharp.
@waltercool@coin@guizzy yeah, i've done some advanced images with controlnets, tiled rendering and so on, it works but it really takes time, i worked for hours on some of these images.