disco-diffusion
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alembics
is it possible to use multi GPUs to speed up the inference?
Currently, Disco Diffusion doesn't support this. In theory there are ways to do this.. but it hasn't been implemented. Its history of being primarily used via Google Colab (and by relatively few users running locally, often with a single consumer Nvidia GPU) made implementation of it low priority.
“Allow 3D animation to run on GPU's other than GPU0”，Can I use multiple GPUs, or can I specify other GPUs？
It's easy to make it run on a different GPU, an it's something that I do sometimes. You can search for the "cuda:0" string in disco.py and change it to your desired GPU index. Then you can e.g. run several instances of Disco Diffusion on the same system to use all the system's GPUs in parallel (working on separate jobs).
It's inconvenient to access foreign Internet. I hope to realize this function as soon as possible. Thank you very much！
It's easy to make it run on a different GPU, an it's something that I do sometimes. You can search for the "cuda:0" string in disco.py and change it to your desired GPU index. Then you can e.g. run several instances of Disco Diffusion on the same system to use all the system's GPUs in parallel (working on separate jobs).
Thank you for your suggestion, but it may not fit my job well. I am struggling with multiprocess to speed up the diffusion step.
I hope to send your multi process tutorial based on this project. Thank you very much！