Can you explain to me how the stable diffusion algorithm for ai generated images can be used to enhance the visual quality of low resolution and low quality images? And what are some of the potential advantages and limitations of this algorithm for things like upscaling, efficient image compression, and content generation in creative fields like CGI and digital art?
Stable diffusion is very good at continuing patterns, as the smaller image is enlarged the coherence of the original local areas are maintained this results in an accurate averaging of the area colour, any artefacts will be blended, the downside is that over iterations the algorithm might start to define unwanted areas as relevant and they will grow with time, another artefact might be the blending and un-sharpening of fine straight lines and edges, furthermore it might be different every time you run it dependent if you have access to the seeds.
What role will the prompt play in defining the small details, as opposed to the values in the original source image?