stable-diffusion
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CompVis
Use CPU if no CUDA device is detected
@philippschw how did the duration for the run change? i feel like it would take way longer, if it works at all?
@JustinGuese, it works but you are also right, it takes over an hour to make a single inference call on my MacBook Pro. 2.9 GHz 6-Core Intel i9 and 16GB RAM.
That can't be right. I have an i7-1260p with 8 actual cores. A 512x512 image with 50 steps will inference in 12 minutes on my branch. The OpenVINO model does the same in 7 minutes.
yeah anyways, cpu time is way too long
out of curiosity: if I would provide a "hosted" stable-diffusion, would you actually pay for it? or rather use the CPU for cost reasons? like the server would cost me ~600€/month, so I would need a lot of interest/people to be worth it
conda env create -f environment.yaml
fails on mac, not sure if this PR should include an alternative environment.yaml?
conda env create -f environment.yamlon mac, not sure if this PR should include an alternative environment.yaml?
sorry, didn't realize there is environment-cpu.yaml
There is a bug: undefined variable wm_encoder in scripts/txt2img.py, because imwatermark was intentionally removed.
There is a bug: undefined variable
wm_encoderin scripts/txt2img.py, because imwatermark was intentionally removed.
Thanks @jpdeleon, I updated the code.
That can't be right. I have an i7-1260p with 8 actual cores. A 512x512 image with 50 steps will inference in 12 minutes on my branch. The OpenVINO model does the same in 7 minutes.
similar for me here
