* By default, upscaling will loop up to 3 times to upscale the incoming image to the target dimensions. This is necessary, as upscaling models work in fixed increments (x4 is common).
* For very small images, such as those generated by ADetailer for inpainting, this can result in additional upscaling steps, which can be expensive. Usually the incoming image is only off by a small amount, so it can be preferable to do a minor upscale via Lanczos before the main upscaling step.
* We introduce an optional value to the upscaler settings to allow this minor upscale, should the incoming image fall below a certain threshold compared to the fixed scaling value of the upscaler model. By default, this setting is set to 1.0, effectively disabling it.
Yep.
Fix gfpgan_model_arch requirement(s).
Add Upscaler base class, move from images.
Add a lot of methods to Upscaler.
Re-work all the child upscalers to be proper classes.
Add BSRGAN scaler.
Add ldsr_model_arch class, removing the dependency for another repo that just uses regular latent-diffusion stuff.
Add one universal method that will always find and load new upscaler models without having to add new "setup_model" calls. Still need to add command line params, but that could probably be automated.
Add a "self.scale" property to all Upscalers so the scalers themselves can do "things" in response to the requested upscaling size.
Ensure LDSR doesn't get stuck in a longer loop of "upscale/downscale/upscale" as we try to reach the target upscale size.
Add typehints for IDE sanity.
PEP-8 improvements.
Moar.
