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Hi, when i use xDiT for latte inference, it told me the following error. I checked the diffusers and num_frames has never been a parameter for LattePipeline, so how can i avoid the problem? Thanks!
main()
File "/mnt/bn/multimodel/code/t2v/xDiT/examples/latte_example.py", line 40, in main
output = pipe(
File "/opt/tiger/miniconda3/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "/mnt/bn/multimodel/code/t2v/xDiT/xfuser/model_executor/pipelines/base_pipeline.py", line 133, in data_parallel_fn
return func(self, *args, **kwargs)
File "/mnt/bn/multimodel/code/t2v/xDiT/xfuser/model_executor/pipelines/base_pipeline.py", line 147, in check_naive_forward_fn
return self.module(*args, **kwargs)
File "/opt/tiger/miniconda3/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
TypeError: LattePipeline.__call__() got an unexpected keyword argument 'num_frames'
My diffusers version 0.30.3, the xdit is main branch and the infer script is as follows.
We developped Latte using an outdated version of diffusers and plan to address this issue as soon as possible. Your assistance in resolving this matter would be greatly appreciated.
Hi, when i use xDiT for latte inference, it told me the following error. I checked the diffusers and num_frames has never been a parameter for LattePipeline, so how can i avoid the problem? Thanks!
My diffusers version
0.30.3
, the xdit is main branch and the infer script is as follows.torchrun --nproc_per_node=1 --master_port 12345 latte_example.py --model="/mnt/bn/multimodel/models/t2v/maxin-cn--Latte-1/" --warmup_steps=5
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