What would be the best image-to-text model for a lot of images?
I got more than 1,000,000 images which I need to describe with text (with 75 words/tokens or less).I’ve tried using CLIP and BLIP, but I find them fairly slow, as well as many times they yield unsatisfying results. I also wanted to experiment with BLIP 2, but don’t have the hardware to run it (I guess I could pay for cloud computing to run it, but I don’t know if it’s worth it nor how fast it would be). Added to that, I searched for other alternatives, but none seemed promising enough and got no one else to ask for advise.What do you think that could be solution to this problem (considering that I mostly care about the speed, but also a bit about the quality of the descriptions)?