I'm not a fan of describing models, but this is my last agony while waiting for SD3, so I'll tell you about savsdxl-5.2.3- Increased detail and sharpness of lines.- Great light- High dynamics.- Decent nsfw.Compliance with artistic requests and not quite the right adherence to the promt that you will not even notice, as they say a feature, not a bug, but judges you when you notice it at more than 75 tokens.In order to avoid questions I will tell you at once: this is a mix of the previous model 4.0.5 between <a rel="ugc" href="https://civarchive.com/models/259563/xi">Xi </a>and <a rel="ugc" href="https://civarchive.com/models/249918/delta">delta</a>. In order counting can realize that I created and tested two dozen versions before coming to it. No, I don't need donations, just try this model.Compare it for yourself with one seed on your favorite queries and favorite sdxl models, maybe you will like its spirit as I liked it!From experience: 100 steps can give you a good result and just as well you can get a good result in 30 steps. Start your comparison with small.Please let me know if you have any problems with the samplers, because I didn't have time to test all of them, use mine for starters.And a secret for all who merge checkpoint: I was not aiming for a certain result, I expected only beauty at the end of generation. In alpha and beta it was RANDOM (R), but when choosing models for merge I expected to get a good result. Choose good models for merge.

savsdxl

- Increased detail and sharpness of lines.- Great light- High dynamics.- Decent nsfw.Compliance with artistic requests and not quite the right adherence to the promt that you will not even notice, as they say a feature, not a bug, but judges you when you notice it at more than 75 tokens.In order to avoid questions I will tell you at once: it is a mix of the previous model 4.0.2 between Xi and delta. In order counting can realize that I created and tested two dozen versions before coming to it. No, I don't need donations, just try this model.Compare it for yourself with one seed on your favorite queries and favorite sdxl models, maybe you will like its spirit as I liked it!From experience: 100 steps can give you a good result and just as well you can get a good result in 30 steps. Start your comparison with small.Please let me know if you have any problems with the samplers, because I didn't have time to test all of them, use mine for starters.And a secret for all who merge checkpoint: I was not aiming for a certain result, I expected only beauty at the end of generation. In alpha and beta it was RANDOM (R), but when choosing models for merge I expected to get a good result. Choose good models for merge.

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