fastsdcpu VS safetensors_util

Release : https://github.com/rupeshs/fastsdcpu/releases/tag/v1.0.0-beta.21

Too bad I don't have the Hardware to run it. Anyone had success with stable diffusion on Steam Deck ? The only thing that works for me is https://github.com/rupeshs/fastsdcpu , but it takes 1m per 512x512 image and is LCM

> one minute and 50 seconds to generate a 512 x 512-pixel image with the default setting of 50 steps

A little over 2s/iter? That is... Not great.

It is slower than CPU diffusion: https://github.com/rupeshs/fastsdcpu

Stable Diffusion in particular doesn't need much VRAM anyway. I get that many people are stuck on lower end computers, but ~4GB is not an unreasonable requirement.

There is also this tool: https://github.com/by321/safetensors_util which can show captions used to train a LoRA. It probably works on mine. You could try it on CIVITAI models to get an idea of other peoples captions.

If it's a safetensors file then you might be able to read the metadata with this, I have no idea about anything LyCORIS tho lol sorry, no idea if they're even safetensors or what. Figured I'd link the Reddit post so you can leave the person a like if you use their app and it helps you, but if you'd rather just skip to the Github for it that's your decision :) I've tried it and can confirm it works with Loras and regular models in safetensors format, so LyCORIS should be at least possible, as long as it's a safetensors file.

Many safetensors files, especially LoRA files, have a metadata field in the file header that records training information. This small python utility program lets you see this information, run it like this: