An experimental merge of various models I like, using an algorithm that ideally takes the strengths of each.

NOTE: This model is very much WIP, but results are promising by all the people graciously testing.

Models Used

IllustriousXL V2.0 Stable - Used as base merge target
Rouwei v0.7 eps
IllumiYume v3.1
Hassaku v1.3 Style A
ionsyx v3.0
Wicked Illustrious Mix v1.1
mdntIllus Syn v1
Kokio v2.0
Diving Illustrious Anime v11
Bismuth Illustrious Mix v2.0
NoobAI v1.1 eps
Unreleased Merge
Plant Milk Hemp II
Plant Milk Coconut

The above may not make the most sense, but using the algorithm, each model's UNET and CLIP were compared and the best was chosen tensor by tensor, using the above weights as my subjective adjustment to influence how likely they would be chosen. I can't tell you exactly what part of what model is used where, my merge script just chose what it considered the best.

For future versions I will be experimenting with different models, along with more granular adjustments (at the block level, or even more granular than that).

License & Use

SDXL - CreativeML Open RAIL++-M

Illustrious - https://freedevproject.org/faipl-1.0-sd/

NoobAI-XL - https://civitai.com/models/license/1140829

Hyphoria [Illustrious 2.0 & NAI] - v0.01

Hyphoria [Illustrious 2.0 & NAI] - v0.01

Sampler

Steps

CFG Scale

Seed

Clip Skip

Size