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Seems like it fails if you have an AMD GPU instead of an Nvidia one (at least that's my guess, based on the error contents): ERROR: for stable-diffusion Can
by KronisLV 4y ago
Seems like it fails if you have an AMD GPU instead of an Nvidia one (at least that's my guess, based on the error contents):
ERROR: for stable-diffusion Cannot start service stable-diffusion: failed to create shim: OCI runtime create failed: container_linux.go:380: starting container process caused: process_linux.go:545: container init caused: Running hook #0:: error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: initialization error: load library failed: libnvidia-ml.so.1: cannot open shared object file: no such file or directory: unknown
- mach1ne 4y agoIndeed, Stable Diffusion does not currently run on AMD graphics cards.
- btdmaster 4y agoSome people have been able to run on recent AMD cards with rocm: https://github.com/CompVis/stable-diffusion/issues/48 https://github.com/CompVis/stable-diffusion/issues/48
- CapsAdmin 4y agoI'm able to run it on my rx6900 xt on Linux. I tried using a docker container and it took 3 min to generate a prompt. However it seems that 2:45 min is somehow spent on tje GPU and finally the remaining 15 seconds the GPU gets utilized. I haven't had the time to look into this yet, but it does seem to work.
- fragmede 4y agoIt does, on Linux, Windows, and MacOS.
- needle0 4y agoI've gotten it running with a Radeon RX 6800 on Ubuntu Linux 22.04 (with overwriting PyTorch with a ROCm-supporting version), and on Windows 10 (in a very barebones way using ONNX), but are there better, more full-featured ways to get it running on Windows? Would love to know.