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View Code? Open in Web Editor NEWA way to use Stable Diffusion without having to compile Torch
A way to use Stable Diffusion without having to compile Torch
I got a RADEON 7900 XTX in a machine running Ubuntu 22.04, Python 3.10, and Kernel 6.2.10, The container run with podman and podman-compose.
Using the default Stable diffusion 1.5 checkpoint, with Euler a got ~3.14 it/s, and changing the sampling method for DPM++ SDE Karras made it worse, with ~1.55 it/s.
Is there a way to improve the performance? Thanks.
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