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Traceback (most recent call last):
File "/mnt/personal/code/EasyAnimate/predict_i2v.py", line 314, in <module>
sample = pipeline(
^^^^^^^^^
File "/opt/miniconda/envs/py311/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/mnt/personal/code/EasyAnimate/easyanimate/pipeline/pipeline_easyanimate_multi_text_encoder_inpaint.py", line 1250, in __call__
noise_pred = self.transformer(
^^^^^^^^^^^^^^^^^
File "/opt/miniconda/envs/py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/miniconda/envs/py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/miniconda/envs/py311/lib/python3.11/site-packages/accelerate/hooks.py", line 169, in new_forward
output = module._old_forward(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/personal/code/EasyAnimate/easyanimate/models/transformer3d.py", line 1469, in forward
hidden_states, encoder_hidden_states = block(
^^^^^^
File "/opt/miniconda/envs/py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/miniconda/envs/py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/personal/code/EasyAnimate/easyanimate/models/attention.py", line 1119, in forward
attn_hidden_states, attn_encoder_hidden_states = self.attn1(
^^^^^^^^^^^
File "/opt/miniconda/envs/py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/miniconda/envs/py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "diffusers/models/attention_processor.py", line 502, in EasyAnimate.diffusers.models.attention_processor.Attention.forward
File "/mnt/personal/code/EasyAnimate/easyanimate/models/processor.py", line 283, in __call__
query[:, :, text_seq_length:] = apply_rotary_emb(query[:, :, text_seq_length:], image_rotary_emb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "diffusers/models/embeddings.py", line 629, in EasyAnimate.diffusers.models.embeddings.apply_rotary_emb
RuntimeError: The size of tensor a (48) must match the size of tensor b (13104) at non-singleton dimension 1
The text was updated successfully, but these errors were encountered:
The text was updated successfully, but these errors were encountered: