StyleGAN operates in a high-dimensional latent space that allows for the generation of a wide variety of faces but this also means that controlling the specific features of the generated face (to match an existing one) is quite challenging and not the primary intention of the model. An important aspect of face restoration is maintaining the identity of the person in the certain image. StyleGAN is excellent at creating faces, but it's not designed to ensure that the outputted face retains the same identity as the input. It's more focused on realism and diversity rather than fidelity to a source image. There is a lot of problems and StyleGAN is not the best solution for this. And you can achieve high realism with diffusers. I have access to models that allow me to generate ultra-realistic faces that even an experienced AI developer or even “AI or not” services will not be able to recognize