(echomimic) PS E:\code\Live_Portrait\EchoMimic> python -c "import torch; print(torch.version)"
2.2.2+cpu
(echomimic) PS E:\code\Live_Portrait\EchoMimic>
(echomimic) PS E:\code\Live_Portrait\EchoMimic>
(echomimic) PS E:\code\Live_Portrait\EchoMimic>
(echomimic) PS E:\code\Live_Portrait\EchoMimic>
(echomimic) PS E:\code\Live_Portrait\EchoMimic>
(echomimic) PS E:\code\Live_Portrait\EchoMimic> python -u infer_audio2vid.py
C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
Cannot initialize model with low cpu memory usage because accelerate was not found in the environment. Defaulting to low_cpu_mem_usage=False. It is strongly recommended to install accelerate for faster and less memory-intense model loading. You can do so with:
pip install accelerate
.
Traceback (most recent call last):
File "infer_audio2vid.py", line 257, in
main()
File "infer_audio2vid.py", line 111, in main
vae = AutoencoderKL.from_pretrained(
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 1152, in to
return self._apply(convert)
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 802, in _apply
module._apply(fn)
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 802, in _apply
module._apply(fn)
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 825, in _apply
param_applied = fn(param)
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 1150, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\cuda__init__.py", line 293, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
(echomimic) PS E:\code\Live_Portrait\EchoMimic> python -c "import torch; print(torch.version)" 2.2.2+cpu (echomimic) PS E:\code\Live_Portrait\EchoMimic> (echomimic) PS E:\code\Live_Portrait\EchoMimic> (echomimic) PS E:\code\Live_Portrait\EchoMimic> (echomimic) PS E:\code\Live_Portrait\EchoMimic> (echomimic) PS E:\code\Live_Portrait\EchoMimic> (echomimic) PS E:\code\Live_Portrait\EchoMimic> python -u infer_audio2vid.py
C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead. torch.utils._pytree._register_pytree_node( C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead. torch.utils._pytree._register_pytree_node( C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead. torch.utils._pytree._register_pytree_node( Cannot initialize model with low cpu memory usage because
accelerate
was not found in the environment. Defaulting tolow_cpu_mem_usage=False
. It is strongly recommended to installaccelerate
for faster and less memory-intense model loading. You can do so with:. Traceback (most recent call last): File "infer_audio2vid.py", line 257, in
main()
File "infer_audio2vid.py", line 111, in main
vae = AutoencoderKL.from_pretrained(
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 1152, in to
return self._apply(convert)
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 802, in _apply
module._apply(fn)
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 802, in _apply
module._apply(fn)
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 825, in _apply
param_applied = fn(param)
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 1150, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
File "C:\Users\seekm\anaconda3\envs\echomimic\lib\site-packages\torch\cuda__init__.py", line 293, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled