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Comment by Timwi | Hacker News Reader

Sounds awesome! Unfortunately, it says that it requires a GPU. Please consider making it accessible to people without a GPU, for example using OpenVino like this (command line only) project does:

https://github.com/bes-dev/stable_diffusion.openvino

Thanks!

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Those who don't have a GPU could use the Stable Horde: https://stablehorde.net

What you're asking for isn't entirely possible for local installs. Yes, you can run SD on a cpu, but each image takes minutes at a time vs seconds via gpu.

For example, it's not possible to run SD on my 2 year old 16 intel MacBook Pro. This is because PyTorch doesn't have support for the slightly older AMD gpu on board. There's a newer framework called RocM for AMD cards that allows them to work with recent versions of PyTorch.

Given all that, the requirements to have a Nvidia card is entirely acceptable, and for the most part a technical requirement.

Minutes isn't really that big a deal though, one could give it a list of prompts to round-robin through and come back in the morning to a huge collection of images to explore. It's just a different workflow.

Ironically, cpu support would be faster for me (in terms of throughput, at least) because I have on the order of a thousand zen cores put only a couple CUDA compatible GPUs with enough ram to run SD.

> What you're asking for isn't entirely possible for local installs.

The project I linked to does it, so it's clearly possible. I didn't ask for speed, I only ask to be able to run it at all.

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