Models here will likely be builds using ideas I have for broad spectrum improvements to Flux using low to no compute, usually using methods I call "back-of-van ablation," and most focusing on improving generalization within the base model as opposed to focusing on particular concepts, running under the assumption that a lot of information is latent in the model and simply difficult to "access" due to a safety tuned unet.