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Realistic Universal Base Build XL

31
426
11
Verified:
SafeTensor
Type
Checkpoint Merge
Stats
426
9
Reviews
Published
Nov 28, 2024
Base Model
SDXL 1.0
Hash
AutoV2
2A5FF878E7

Or RUBB XL as I like to call it.

If you wish to use this model with diffusers, I also have this model over on huggingface.

Usage

  • 1024x1024, 1024x1536, 1536x1024, but best at 1024x1024 for general usage

  • DPM++ 2M Karras

  • 100 steps - less than 10 steps is useless, 10-20 gives a reasonably converged image, 20-50 adds lots of detail, by 100 steps the image usually stops changing completely.

  • Hi Res Fix R-ESRGAN 4x+, denoising 0.2, 8 steps

  • Use the standard SDXL Refiner model

  • CFG 6 - 1-3 is interesting but lowish contrast. 4-8 is useful, 9 and above tends to get weird.

About

This model is a merge of many realistic SDXL models that had permissive licensing and had additional training layered on top, then through some very careful analysis, distillation, and merging arrived at this model. It's not perfect by any means, but I feel that it has a really nice mix of unique elements with a minimum of cross merging going on and should service as a nice starting point for either merging in specific needs or using with Controlnets, LORAs, etc.

NSFW Note

This model was not created with the intent of generating NSFW content, however, due to the nature of some of the base models mixed in, can generate pretty good NSFW content. If you don't want that, then put NSFW, Nude, etc in the negative prompt to avoid it.

Licensing Disclosure

Below is a per released version listing of models that have been mixed in that have licensing that requires creator credit be given, so those are listed below. There are many more base models included in the final output than what is listed below, however, the recipe used to get to the release was quite complex with a lot of distillation required to reduce cross merging of some of the models, so I'm not going to list all of them and how they were mixed in because I can easily fill a volume on just that, and at the end of the day, what's important is whether the final result model works as a good starting point for people, not on how it got there.

Version 1.0.0