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.