While the built in embedding for Emma Stone is not terrible, I was curious on whether I could improve that.
I used 443 sample images, all cropped and tagged manually, mostly chosen from the top 1000 of the posts in her subreddit.
Description
1 vector. I may try training more vectors to add onto this to see if it improves any further, but I was surprised to see how good this looked with one vector alone. I think it already looks better than the what you get when you type Emma Stone into the base model, and the base model uses 2 vectors!
Trained on a 3080Ti (12GB)
Batch Size 24, 20,000 steps. Custom learning rate schedule:
8e-3:40, 7e-3:160, 6e-3:320, 5e-3:520, 4e-3:780, 3e-3:1140, 2e-3:1720, 1e-3:2300, 9e-4:2440, 8e-4:2620, 7e-4:2820, 6e-4:3060, 5e-4:3360, 4e-4:3760, 3e-4:4320, 2e-4:5320, 1e-4:6340, 9e-5:6620, 8e-5:6960, 7e-5:7340, 6e-5:7820, 5e-5:8440, 4e-5:9260, 3e-5:10420, 2e-5:12160, 1e-5:13560, 9e-6:13860, 8e-6:14200, 7e-6:14560, 6e-6:14960, 5e-6:15400, 4e-6:15920, 3e-6:16560, 2e-6:17420, 1e-6:18100, 9e-7:18260, 8e-7:18440, 7e-7:18620, 6e-7:18840, 5e-7:19080, 4e-7:19380, 3e-7:19760, 2e-7