June 2024
Intermediate to advanced
352 pages
8h 8m
English
Content preview from Using Stable Diffusion with Python
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15
Generating Image Descriptions Using BLIP-2 and LLaVA
Imagine you have an image in hand and need to upscale it or generate new images based on it, but you don’t have the prompt or description associated with it. You may say, “Fine, I can write up a new prompt for it.” For one image, that is acceptable, what if there are thousands or even millions of images without descriptions? It is impossible to write them all up manually.
Fortunately, we can use artificial intelligence (AI) to help us generate descriptions. There are many pretrained models that can achieve this goal, and the number is always increasing. In this chapter, I am going to introduce two AI solutions to generate the caption, description, or prompt for an image, all fully automated: ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.