How large an image will this handle (versus how much RAM you have)?
It seems the GPU memory requirements beyond 512x512 are obscene.
It seems the GPU memory requirements beyond 512x512 are obscene.
The biggest issue with apple chips is that the --seed setting doesn't work. I should be able to set a seed to, for instance, 1083958 and if I re-run a command at the same resolution with that seed, I should get the same image every time. This would allow me to test different steps so I could generate a 100 images at 16 steps (which is quite fast) and pick the ones that are most promising and re-render at 64 or 128 steps.
But currently you can't do that on apple hardware because of an open issue in PyTorch. Genuinely hoping a fix comes soon, until it is this is more of a novelty than a tool on Apple hardware.
Me now: "a red juicy apple floating in outer space, like a planet" --H 768 --W 768
Uses about 27GB. 1.81s/it.
Can't do 1024x1024 yet because of some hardcoded Metal issue (https://github.com/pytorch/pytorch/issues/84039.
I was amazed at how fast and powerful it was. I thought this meant I could stop buying top-of-the-line Macs every 4 years and start buying bottom-of-the-line Macs every 5 years. And that would have been 100% true... if it weren't for stable-diffusion.
Use external upscalers like RealESRGAN, SwinIR or BSRGAN or GFPGAN (faces).
Alternatively use hacks like txt2imghd to get it to natively create 1 MP images.