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I am running the command for inference of Face Reenactment with the images and videos provided in the repo
python scripts/lmks2vid.py --config ./configs/prompts/inference_reenact.yaml --driving_video_path ./config/inference/talkinghead_videos --source_image_path ./config/inference/talkinghead_images
But I get this error: (animate) [malmaim@node2076 Moore-AnimateAnyone]$ python scripts/lmks2vid.py --config ./configs/prompts/inference_reenact.yaml --driving_video_path ./config/inference/talkinghead_videos --source_image_path ./config/inference/talkinghead_images /home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() return self.fget.__get__(instance, owner)() ------------------initial all networks------------------ Traceback (most recent call last): File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 337, in <module> main() File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 207, in main reference_unet.load_state_dict( File "/home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for UNet3DConditionModel: Missing key(s) in state_dict: "conv_norm_out.weight", "conv_norm_out.bias", "conv_out.weight", "conv_out.bias". (animate) [malmaim@node2076 Moore-AnimateAnyone]$ python scripts/lmks2vid.py --config ./configs/prompts/inference_reenact.yaml --driving_video_path ./config/inference/talkinghead_videos --source_image_path ./config/inference/talkinghead_images /home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() return self.fget.__get__(instance, owner)() ------------------initial all networks------------------ Traceback (most recent call last): File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 337, in <module> main() File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 200, in main denoising_unet.load_state_dict( File "/home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for UNet3DConditionModel: Missing key(s) in state_dict: "down_blocks.0.motion_modules.0.temporal_transformer.norm.weight", "down_blocks.0.motion_modules.0.temporal_transformer.norm.bias", "down_blocks.0.motion_modules.0.temporal_transformer.proj_in.weight", 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(animate) [malmaim@node2076 Moore-AnimateAnyone]$ python scripts/lmks2vid.py --config ./configs/prompts/inference_reenact.yaml --driving_video_path ./config/inference/talkinghead_videos --source_image_path ./config/inference/talkinghead_images /home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() return self.fget.__get__(instance, owner)() ------------------initial all networks------------------ Traceback (most recent call last): File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 337, in <module> main() File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 207, in main reference_unet.load_state_dict( File "/home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for UNet3DConditionModel: Missing key(s) in state_dict: "conv_norm_out.weight", "conv_norm_out.bias", "conv_out.weight", "conv_out.bias". (animate) [malmaim@node2076 Moore-AnimateAnyone]$ python scripts/lmks2vid.py --config ./configs/prompts/inference_reenact.yaml --driving_video_path ./config/inference/talkinghead_videos --source_image_path ./config/inference/talkinghead_images /home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() return self.fget.__get__(instance, owner)() ------------------initial all networks------------------ Traceback (most recent call last): File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 337, in <module> main() File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 200, in main denoising_unet.load_state_dict( File "/home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for UNet3DConditionModel: Missing key(s) in state_dict: "down_blocks.0.motion_modules.0.temporal_transformer.norm.weight", "down_blocks.0.motion_modules.0.temporal_transformer.norm.bias", "down_blocks.0.motion_modules.0.temporal_transformer.proj_in.weight", 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Thank you for the help.
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I am running the command for inference of Face Reenactment with the images and videos provided in the repo
python scripts/lmks2vid.py --config ./configs/prompts/inference_reenact.yaml --driving_video_path ./config/inference/talkinghead_videos --source_image_path ./config/inference/talkinghead_images
But I get this error:
(animate) [malmaim@node2076 Moore-AnimateAnyone]$ python scripts/lmks2vid.py --config ./configs/prompts/inference_reenact.yaml --driving_video_path ./config/inference/talkinghead_videos --source_image_path ./config/inference/talkinghead_images /home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() return self.fget.__get__(instance, owner)() ------------------initial all networks------------------ Traceback (most recent call last): File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 337, in <module> main() File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 207, in main reference_unet.load_state_dict( File "/home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for UNet3DConditionModel: Missing key(s) in state_dict: "conv_norm_out.weight", "conv_norm_out.bias", "conv_out.weight", "conv_out.bias". (animate) [malmaim@node2076 Moore-AnimateAnyone]$ python scripts/lmks2vid.py --config ./configs/prompts/inference_reenact.yaml --driving_video_path ./config/inference/talkinghead_videos --source_image_path ./config/inference/talkinghead_images /home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() return self.fget.__get__(instance, owner)() ------------------initial all networks------------------ Traceback (most recent call last): File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 337, in <module> main() File "/scratch/malmaim/Moore-AnimateAnyone/scripts/lmks2vid.py", line 200, in main denoising_unet.load_state_dict( File "/home/malmaim/miniconda3/envs/animate/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for UNet3DConditionModel: Missing key(s) in state_dict: "down_blocks.0.motion_modules.0.temporal_transformer.norm.weight", "down_blocks.0.motion_modules.0.temporal_transformer.norm.bias", "down_blocks.0.motion_modules.0.temporal_transformer.proj_in.weight", 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Thank you for the help.
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