The primary objective of this merge model is to craft a versatile framework suitable for diverse applications.
The merging process utilises a combination of iterative methods and genetic algorithms.
During this procedure, various models are assessed using standardised prompts and seeds, subsequently selecting the most optimal one.
This iterative approach incorporates multiple models, including prior versions of the current model, to ensure the finest outcome across a broad spectrum of prompts.
Please test the model and share your thoughts to help enhance its capabilities.
Description
FAQ
Comments (3)
v3.0 is very interesting and stable... huge variety of results from the same prompt.
thanks, I've tried to fix some of the previous instabilities by merging few more models in.
What I aim is to have a really flexible model.
This checkpoint is very underrated. My favorite XL models currently is: galaxytimemachinesGTM, crystalClearXL and mbbxlUltimate_v10RC, but this one give better results in most situations. Great and maybe just lucky merge.