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WuJunde avatar WuJunde commented on July 29, 2024

Did you run it on GPU? one step is about seconds for me. btw, you can set --dpm-solver as true to speed up the convergence.

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luoshiyong avatar luoshiyong commented on July 29, 2024

yes, my gpu is 3080 with 12GB. In the infer process, the gpu use is 7901/12288MiB, so i think the problem is not on the gpu.

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luoshiyong avatar luoshiyong commented on July 29, 2024

recorrect it that one image(1000timestep) infer need 2min, not one timestep

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WuJunde avatar WuJunde commented on July 29, 2024

Yes, that's a major weakness of DPM. Many works have proposed to speed up the sampling, for example, DPM-solver we deployed in the recent versions. You can set --dpm_solver True to speed up the sampling. In this case, you can set --diffusion_steps 50 instead of 1000 to see a convergence, but it has a slight performance compromise.

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