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我现在想要生成横版视频,输入视频为竖版视频,尺寸为2160 × 2880,输入参考图像为横版,尺寸为2500 × 1875,调整参数 resolution为720。运行程序报错:
warnings.warn(
DWPose: 100%|█████████████████████████████████████| 171/171 [03:46<00:00, 1.32s/it]
0%| | 0/75 [00:02<?, ?it/s]
Traceback (most recent call last):
File "inference.py", line 136, in
main(args)
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "inference.py", line 100, in main
_video_frames = run_pipeline(
File "inference.py", line 68, in run_pipeline
frames = pipeline(
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/root/MimicMotion/mimicmotion/pipelines/pipeline_mimicmotion.py", line 570, in call
_noise_pred = self.unet(
File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/root/MimicMotion/mimicmotion/modules/unet.py", line 481, in forward
sample = upsample_block(
File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/root/miniconda3/lib/python3.8/site-packages/diffusers/models/unets/unet_3d_blocks.py", line 2361, in forward
hidden_states = torch.cat([hidden_states, res_hidden_states], dim=1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 24 but got size 23 for tensor number 1 in the list.
The text was updated successfully, but these errors were encountered:
我现在想要生成横版视频,输入视频为竖版视频,尺寸为2160 × 2880,输入参考图像为横版,尺寸为2500 × 1875,调整参数 resolution为720。运行程序报错:
warnings.warn(
DWPose: 100%|█████████████████████████████████████| 171/171 [03:46<00:00, 1.32s/it]
0%| | 0/75 [00:02<?, ?it/s]
Traceback (most recent call last):
File "inference.py", line 136, in
main(args)
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "inference.py", line 100, in main
_video_frames = run_pipeline(
File "inference.py", line 68, in run_pipeline
frames = pipeline(
File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/root/MimicMotion/mimicmotion/pipelines/pipeline_mimicmotion.py", line 570, in call
_noise_pred = self.unet(
File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/root/MimicMotion/mimicmotion/modules/unet.py", line 481, in forward
sample = upsample_block(
File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/root/miniconda3/lib/python3.8/site-packages/diffusers/models/unets/unet_3d_blocks.py", line 2361, in forward
hidden_states = torch.cat([hidden_states, res_hidden_states], dim=1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 24 but got size 23 for tensor number 1 in the list.
The text was updated successfully, but these errors were encountered: