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
I've done some refinement and tried to get decent results already at 20 steps.
FAQ
Comments (3)
That this model doesn't have more downloads astounds me. It's an outstanding model.
Thank you. I think this is part due to popularity and part lack of uploaded images.
I'm glad you liked it though :)
would love to read a writeup of your process to make this, I think it could help a lot of us to make better models.