1. Is it bad for masks to cover more than the edges of a face (backgrounds, hair, .etc) for models with higher coverage - for capturing a more accurate silhouette e.g. the bridge of the nose, cheekbone protrusion, etc.? Will it just add to the training time or will it draw things outside of the face during conversion?
2. Do higher coverage models learn beyond what the mask includes? For example, with unet masks ending just above the brow, will a coverage of 87.5% (legacy) still learn some of the forehead?
3. Also is the coverage the same between the new faceswap (extracted faces end near the collar) and the older version (extracted faces end below the chin)? Is 87.5% still down to the chin for the new version of faceswap like it was for the older version?