Trained on animefull-final-pruned. Experimented with mixing datasets for this one, so trained for around 3000 steps on a large dataset of ~1100 images then another 3000 on a cherry-picked subset of ~90 images. Fully training on the large set seems to get the tape placement right often enough but tends to mess up the tape itself while only using the small set (v1.0) gets the look better but noticeably affects how it interacts with the rest of the image. This version seems to be a middle ground the appears more stable but occasionally worse than v1.0
Trained on animefull-final-pruned.
Experimented with mixing datasets for this one, so trained for around 3000 steps on a large dataset of ~1100 images then another 3000 on a cherry-picked subset of ~90 images. Fully training on the large set seems to get the tape placement right often enough but tends to mess up the tape itself while only using the small set (v1.0) gets the look better but noticeably affects how it interacts with the rest of the image. This version seems to be a middle ground the appears more stable but occasionally worse than v1.0