Created by Yolup This Model Increases "Quality" Quality here is defined by the model itself, as the training process I used involved reinforcing the model's "masterpiece" tag and various others across a large number of different example compositions. How did I do this? I used the LECO training script on GitHub by P1atdev based on the LECO paper to train this model, the LECO training process generates an image at an arbitrary denoising strength, and then trains on the difference between the output of the model when prompted for a concept, and when unprompted. this allows the model to alias tags, words, concepts, or phrases to any arbitrary prompt, in this case, I aliased masterpiece, best quality, newest, absurdres, highres, high quality, highly detailed the "quality paragraph" to so I effectively was training it to always produce images that looked as though it had been prompted for the "quality paragraph"