- use face enhancement in a smarter way that doesn't blur high-res images
- use a different upscale model for composition images
**Upscaling**
RealESRGAN is great but it blurs parts of images it doesn't understand
4xUltrasharp is a finetune of RealESRGan that isn't as good but doesn't have this blurry patch problem. This makes it more suitable to use as part of the composition/upscale process. We still use realesrgan for any last-step upscales since it does look better.
had to write a state dict translator to use the ultrasharp model
**Face Enhancement**
We no longer enhance faces that are larger than 512 pixels. They should already have enough details and the face enhancer doesn't produce faces at high enough resolution to look good at that size.
while the previous version did produce much better blending it also makes images that lack detail for some reason.
tests: Added more tests to help catch this sort of thing earlies
fix: found that median blur is really slow, so I made sure we only do it on downsampled masks. Was taking like 3 minutes to run on the large pearl girl picture on M1
- docs: update examples
Specify advanced text based masks using boolean logic and strength modifiers. Mask descriptions must be lowercase. Keywords uppercase.
Valid symbols: `AND`, `OR`, `NOT`, `()`, and mask strength modifier `{*1.5}` where `+` can be any of `+ - * /`. Single-character boolean
operators also work. When writing strength modifies know that pixel values are between 0 and 1.
- feature: apply mask edits to original files
- feature: auto-rotate images if exif data specifies to do so
- fix: accept mask images in command line
Bryce
jaydrennan