LoRA is a technique for fine-tuning Stable Diffusion models using much less time and memory than traditional training techniques. The resulting model files are much smaller than full model files, and can be used to generate specialized styles and subjects. LoRAs are built on top of Stable Diffus...
As such, the ITM was selected and was then fine-tuned to minimize the prediction error. In this regard, the RMSE was considered the objective function to be minimized by adding a correction factor (S) to the ITM PL response in dB. The fine-tuning step led to S = 14.664 dB, which ...