view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.

  File "/Users/$USER/comflowy/ComfyUI/execution.py", line 323, in execute
    output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
  File "/Users/$USER/comflowy/ComfyUI/execution.py", line 198, in get_output_data
    return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
  File "/Users/$USER/comflowy/ComfyUI/execution.py", line 169, in _map_node_over_list
    process_inputs(input_dict, i)
  File "/Users/$USER/comflowy/ComfyUI/execution.py", line 158, in process_inputs
    results.append(getattr(obj, func)(**inputs))
  File "/Users/$USER/comflowy/ComfyUI/comfy_extras/nodes_upscale_model.py", line 70, in upscale
    s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar)
  File "/Users/$USER/comflowy/ComfyUI/comfy/utils.py", line 821, in tiled_scale
    return tiled_scale_multidim(samples, function, (tile_y, tile_x), overlap, upscale_amount, out_channels, output_device, pbar)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
  File "/Users/$USER/comflowy/ComfyUI/comfy/utils.py", line 795, in tiled_scale_multidim
    ps = function(s_in).to(output_device)
  File "/Users/$USER/comflowy/ComfyUI/comfy_extras/nodes_upscale_model.py", line 70, in <lambda>
    s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/spandrel/__helpers/model_descriptor.py", line 472, in __call__
    output = self._call_fn(self.model, image)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/spandrel/__helpers/model_descriptor.py", line 439, in <lambda>
    self._call_fn = call_fn or (lambda model, image: model(image))
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/spandrel/architectures/ESRGAN/__arch/RRDB.py", line 143, in forward
    return self.model(x)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/torch/nn/modules/container.py", line 250, in forward
    input = module(input)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 554, in forward
    return self._conv_forward(input, self.weight, self.bias)
  File "/Users/$USER/miniconda3/envs/comflowy/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 549, in _conv_forward
    return F.conv2d(