Training without images
Hello,
So some time ago I've found a way to "train" embeddings without using an image dataset.
I didn't gave it much attention but I searched and asked arround and I couldn't seem to find this existing anywhere so I just want to double check is this something novel?
Without getting into too much details on how this works atm, I take a text and compress it into a small reusable identity file. The trained embedding is a standard textual inversion that works with any sd / sdxl model.
Takes about 1-2 minutes to train, 2gb vram and it's 70 ish kbs.
I made this because I wanted to increase character consistency and to diminish prompt bleeding. And it does the job.
I usually don't engage in posting, heck this is my first reddit post ever, but I'm really curious if this is something new or if I just reinvented the wheel. Also I'm curious if y'all find this useful.
If you got questions I'll gladly provide more details.