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Wraceback(most recent call last):File "/UD-AI-sD/stable diffusion/server_gpu.py", line 278, in image outpaintingoutputs = brushNet pipeline(params)File "/uD-AI-sD/stable diffusion/power paint/brushNet pipeline.py", line 25, in calloutputs=self.brushNet pipeline(File "/usr/local/lib/python3.10/dist-packages/torch/utils/ contextlib.py", line 1l5, in decorate contextreturn func(*args,**kwargs)File "/uD-AI-SD/stable diffusion/power paint/pipeline/pipeline PowerPaint Brushnet cA.py", line 1453, inlatents = self.scheduler,step(noise pred, t, latents, **extra step kwargs, retum dict-False) [0]File "/usr/local/lib/python3.10/dist-packages/diffusers/schedulers/scheduling unipc multistep .py". line 86sample=self.multistep uni c bh update(File "/usr/local/lib/python3.10/dist-packages/diffusers/schedulers/scheduling unipc multistep.py". line 776Dlt=modelt-mRuntimeError: The size of tensor a (79) must match the size of tensor b (127) at non-singleton dimension
The text was updated successfully, but these errors were encountered:
Wraceback(most recent call last):File "/UD-AI-sD/stable diffusion/server_gpu.py", line 278, in image outpaintingoutputs = brushNet pipeline(params)File "/uD-AI-sD/stable diffusion/power paint/brushNet pipeline.py", line 25, in calloutputs=self.brushNet pipeline(File "/usr/local/lib/python3.10/dist-packages/torch/utils/ contextlib.py", line 1l5, in decorate contextreturn func(*args,**kwargs)File "/uD-AI-SD/stable diffusion/power paint/pipeline/pipeline PowerPaint Brushnet cA.py", line 1453, inlatents = self.scheduler,step(noise pred, t, latents, **extra step kwargs, retum dict-False) [0]File "/usr/local/lib/python3.10/dist-packages/diffusers/schedulers/scheduling unipc multistep .py". line 86sample=self.multistep uni c bh update(File "/usr/local/lib/python3.10/dist-packages/diffusers/schedulers/scheduling unipc multistep.py". line 776Dlt=modelt-mRuntimeError: The size of tensor a (79) must match the size of tensor b (127) at non-singleton dimension
The text was updated successfully, but these errors were encountered: