Ahoy to the denizens of this slop mountain! On this day, I bring you the product of experimentation and a fun time made of experimenting with a dataset that went nowhere. Without irony or hyperbole, delirious from a flu, I have tumbled through my files, and found a dataset I didn't do anything with. Deciding to try the on-site trainer, I threw it up and had been left with this. The dataset itself is made up of grain filled, retro/90's/painted D&amp;D type beat images, and it has a tendency to show as it should. I have found it very much flexible in my testing — weights can go anywhere from 1 to 2 (See XYZ Plot for reference.) The usual warnings about weights apply — you really are gambling with this one, depending on the model. Though, testing with my own illustrious model collection has revealed a decent degree of insensitivity, as long as it is within the same family, however your mileage may vary.The support prompt ((Scenery, detailed background)), helps bring out the detailed backgrounds lodged within the dataset. It is not necessary to bring the style out, as you can see in the sample images, but it is more evocative of the style in the original dataset.The Lora itself doesn't have an activation phase pre-say, but using tags like mentioned above, along with film grain, grain, nature, outside, horror (theme), will help as they are adjacent to the dataset, though they are not necessary. I have included them as activators for convenience anyway.

Files with SHA256: 63db238a05fc41714d91a509b2655ed2c78e0da628bdeb629b99760d45b63c44