Error occurred when executing OOTDGenerate: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 4, 128, 96] to have 8 channels, but got 4 channels instead

[hooray4boobies]

Error occurred when executing OOTDGenerate:

Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 4, 128, 96] to have 8 channels, but got 4 channels instead

File "D:\4.4\ComfyUI\ComfyUI\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\4.4\ComfyUI\ComfyUI\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\4.4\ComfyUI\ComfyUI\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\4.4\ComfyUI\ComfyUI\custom_nodes\ComfyUI-OOTDiffusion_init_.py", line 170, in generate
images = pipe(
^^^^^
File "D:\4.4\ComfyUI\ComfyUI\custom_nodes\ComfyUI-OOTDiffusion\inference_ootd.py", line 152, in call
images = self.pipe(
^^^^^^^^^^
File "D:\4.4\ComfyUI\python_embeded\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "D:\4.4\ComfyUI\ComfyUI\custom_nodes\ComfyUI-OOTDiffusion\pipelines_ootd\pipeline_ootd.py", line 354, in call
_, spatial_attn_outputs = self.unet_garm(
^^^^^^^^^^^^^^^
File "D:\4.4\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\4.4\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\4.4\ComfyUI\ComfyUI\custom_nodes\ComfyUI-OOTDiffusion\pipelines_ootd\unet_garm_2d_condition.py", line 1036, in forward
sample = self.conv_in(sample)
^^^^^^^^^^^^^^^^^^^^
File "D:\4.4\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\4.4\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\4.4\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 460, in forward
return self._conv_forward(input, self.weight, self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\4.4\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 456, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^