How to learn stuff outside of LLMs? I talked to my friends recently that told me they have their own image generation model, that's architecture agnostic and can work with Midjourney, StableDiffusion etc. But works on their GPUs. I have no idea what they're talking about. How can I start digging into the topic? I'd love to understand how startups like photoai.com or headshotpro.com managed to build their... Source: 8 months ago

The idea is to code up a website that will let brothers upload 10-20 of their pictures, and using AI will professionally generate AI headshots (like headshotpro.com quality), and put them all together in a nice composite layout ready for ordering prints. It would definitely be cheaper than hiring a photographer or an online service to come and handle it. Source: about 1 year ago

From transformers import Tool From huggingface_hub import list_models Class CatImageFetcher(Tool): name = "cat_fetcher" description = ("This is a tool that fetches an actual image of a cat online. It takes no input, and returns the image of a cat.") inputs = [] outputs = ["image"] def __call__(self): return Image.open(requests.get('https://cataas.com/cat',... - Source: dev.to / about 1 year ago

CATAAS - Cat as a service is a REST API to spread peace and love (or not) thanks to cats. Source: about 1 year ago

See https://cataas.com/ for all the options. Source: over 1 year ago

I always thought web facing APIs were cool. They can do so much useful stuff! Bonus points if you can figure out how to get it hosted somewhere. It doesn't even have to do anything meaningful - here is an API that serves up random pictures of cats lol https://cataas.com/. Source: over 1 year ago

I feel this needs to be a SaaS product like Cat as a service! Source: about 2 years ago