Comments (4)
Thanks for the update, I should probably just disable cpu generation as well then.
The issue is that some parameters are in float32 and some in float16. CUDA has an option to paper over issues when numbers are in different formats. The fix was turning that option back on. For CPU and MPS (eventually) it will be necessary to hunt down why some parameters are in a different type and convert them.
I dont think I'm going to have time in the near future to do that.
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Fixed in just released version 14.0.4
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Thank you so much!
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Hi,
The issue is confirmed fixed on Linux with GPU (CUDA) but when using my Mac with M1 proc (hence using the CPU)
"Apple Silicon MPS (M1, M2, etc) is not currently supported for video generation. Switching to cpu generation."
I still have the same issue "RuntimeError: mat1 and mat2 must have the same dtype, but got Float and Half"
return forward_call(*args, **kwargs)
File "/opt/homebrew/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)
RuntimeError: mat1 and mat2 must have the same dtype, but got Float and Half
I tried on my Mac because I just have 8Gb of Memory in my GPU and it seems it is not enough for video generation.
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