Summary
This chapter offered a summary of contemporary image upscaling and super-resolution methodologies, emphasizing their unique characteristics. The primary focus of the chapter was on two super-resolution techniques that leverage the capabilities of Stable Diffusion:
- Utilizing the Stable Diffusion image-to-image pipeline
- Implementing ControlNet Tile to upscale images while enhancing details
Furthermore, we showcased additional examples of the ControlNet Tile super-resolution technique.
If your goal is to preserve as many aspects of the original image as possible during upscaling, we recommend the image-to-image pipeline. Conversely, if you prefer an AI-driven approach that generates a wealth of detail, ControlNet Tile is the more appropriate option.
In Chapter 12, we will develop a scheduled prompt parser to allow us more accurate control over image generation.
