V.2

*Better Realism

*Enhanced img2img support

*Natural Language support

*More Custom Characters

*Unique Styles

*Support for Illustrious & Pony Loras (WiP)

This version fixes a lot of broken things in my v1 model but also suffers from keeping generations with very similar elements. If you don't change up how you prompt something you'll tend to get very similar results (Which can be good and bad)

In order to remedy this I would change your CFG occasionally. 3-7 generally works well. I would use 3-4 for generations and 5-7 for any upscaling or refiners.

Tags work well, but I would try things that aren't the usual. The more unique the better. During training I used a combination of natural language and tags. 3 methods were applied, Ai generated descriptions, traditional tagging and then describing the scenes in my own words.

Start with your subject description, describe the scene or background and then finally apply any tags.

This model can and will generate ??????, if you don't specify the subjects attire they will default to wearing nothing. Explicit scenes are something this model does struggle with, it works sometimes but not reliably. Solo subjects work really well, duo encounters are ify. I would strongly encourage using your favorite loras to depict any acts you wish to see. (However if you're shooting for realism things might not go as expected, if you use a stylized lora stick to a stylized prompt and vice versa.)

This dataset contains publicly available images and my own generations and photographs i've taken, as well as my own art.

This model also features base model merges of SDXL, Pony and Illustrious.

If you'd like to suggest styles or datasets please message me and I will try to add features or subjects to the dataset.

V.1

My first XL checkpoint that I use for all my generations. When paired with my lora's at low strengths will generally get you something resembling my stylistic examples.

Can do both realistic and semi-realistic generations, but by default might yield pony-like results. (was trained on real and animated images) due to this some tags will lean certain directions. Natural language and tags both seem to work well in most cases.

Try these tags for realism:

in the year 1995, analog film, kodak snapshot, candid photography, high resolution, 100mp, filmic, natural face, proportional facial features, imperfect skin, low contrast, modern color grade, aged, film grain,, unique angle, instagram, profile pic, screen grab, captured in 4k, photo of (insert subject), (fake name of a person), technicolor, digital cinema, movie-like