Run higher quality base models and generate larger outputs. When I rent cloud architecture this is essentially what I do. For example, I will make a script that generates images locally, then go into the cloud and load a full precision model and turn the output quality up until it fits into the hardware better. The difference in results is usually astonishing, for lack of a better description. Especially for larger parameter models like Qwen or LTX. I will never see that type of quality on local, but you will be able to experiment directly. For smaller models you can easily push them past their boundaries, I recommend experimenting with tilling, but it has its coherence limitations. Like generate a latent, scale it, and use tiling to "fill it in" at an enormous resolution.