An experimental merge of various models I like, using an algorithm that ideally takes the strengths of each. Thanks to @epiTune for the advice and guidance, I still have a lot to learn and a lot to do, but this is a great start.
NOTE: This model is very much WIP, use at your own risk. There are some weird issues that show up with "fringes" at the side of the image among other things. I am new to merging in general, I am only putting this up because people keep asking me what I use for my images.
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).
