2024-11-25 17:33:34 +07:00
2024-08-29 19:48:48 -04:00
2024-11-08 19:13:34 -05:00
2024-11-17 22:56:31 +00:00
2024-08-29 19:48:48 -04:00
2023-01-16 22:37:14 -05:00
2024-11-08 19:13:34 -05:00
2024-09-09 04:31:18 -04:00
2023-08-14 16:54:30 -04:00
2023-04-10 03:37:46 -04:00
2024-07-01 13:51:00 -04:00
2024-11-17 22:56:31 +00:00
2023-01-16 22:37:14 -05:00
2024-08-15 11:21:11 -04:00
2024-11-25 17:33:34 +07:00
2024-07-11 22:58:03 -04:00
2024-11-08 19:13:34 -05:00

ComfyUI-TPU

TPUs/XLA devices support for ComfyUI

#### TPU/XLA Devices Users with TPU/XLA devices can install the PyTorch XLA stable build with the following command:
pip install torch~=2.5.0 torch_xla[tpu]~=2.5.0 -f https://storage.googleapis.com/libtpu-releases/index.html

This is the command to install the nightly 2.6.0 which might have some performance improvements:

pip3 install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu
pip install 'torch_xla[tpu] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.6.0.dev-cp310-cp310-linux_x86_64.whl' -f https://storage.googleapis.com/libtpu-releases/index.html

To get memory info for TPU devices, install the tpu-info package with the following command:

pip install tpu-info
Description
No description provided
Readme GPL-3.0 1.2 GiB
Languages
Python 100%