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learn-deeply t1_is2n8m7 wrote

What exactly is Lightning offering here? All I see is a text input that generates a stable diffusion image. There's already hundreds of similar projects that have better UI, advanced upscaling, lower memory usage, etc. See: https://github.com/awesome-stable-diffusion/awesome-stable-diffusion#actively-maintained-forks-and-containers and for free generation with advanced settings, there's Huggingface Spaces.

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LightningAI_Main OP t1_is2s0yy wrote

Great question! The main point is not the app itself, it's that you can build something easily as a fully-functioning app on Lightning and let us handle the underlying infrastructure orchestration for you. It's OSS, so if you want you can click "clone it" today, and you will have a version running on your cloud. Fully reproduced, fully functional. You can then drill down and see all the code that made it work, keep what you want, and change what you need to.

A huggingface space or a colab is great for a demo, but you can't build whatever UI you want, you can't add monetization, authentication, etc. You're just just limited to a demo. This is a great way to show something off quickly, but when you want to turn it into a product that's entirely another animal.

We believe people and companies will want to build fully functioning, scalable products for end-users, not just demo their work.

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39dotyt t1_is9ai2f wrote

The app isn't just another text-to-image generator. It's a powerful and flexible blueprint for all kinds of apps powered by AI.

Check it out! Both the app and the source code 😉 It's 🔥 I bet, after experiencing this, you'll want to build your next ML app with Lightning 😁⚡

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