This is an experimental checkpoint I built by merging a very large number of checkpoints (sorry I didn't think to keep track of each one) using my own iterative merging workflow that involves repeatedly merging (1 step regular, 2 steps DARE) with randomized parameters and then picking the best candidate using a series of manual tests.

The goal is a NoobAI checkpoint that is easy to use and works for almost any prompt, with a range of knowledge and styles, and providing a medium level of detail.

I put a lot of manual effort into making this checkpoint but occasionally I'll screw something up, so the newest version is usually the most knowledgeable in general, but it may not be the best looking, so I encourage looking at earlier versions.

Usage Tips:

For the best balance between color and prompt accuracy I like a CFG between 4.0 to 7.0 and 22-32 steps.

Use hi-res fix to produce larger images with much more accuracy and detail. I have DARE merged in weights from models designed for higher res images to assist with this :)

For some example images I process multiple prompts independently and then concatenate the weights together (helps the model to avoid mixing unrelated subjects). I reconstructed those prompts in the image metadata using "BREAK" to denote where the prompts are concatenated, for compatibility with other workflows that use BREAK syntax.

Use a mixture of danbooru & e621 tags, and very simple sentences.