发生Error occurred when executing DownloadAndLoadChatGLM3:Torch not compiled with CUDA enabled错误，求解决

[BannyLon]

我的电脑是MAC M2，在运行ComfyUI-KwaiKolorsWrapper插件时：
1、fp16 - 12 GB爆显存；
2、quant8 - 8-9 GB、quant4 - 4-5 GB时出现如下错误：

!!! Exception during processing!!! Torch not compiled with CUDA enabled
Traceback (most recent call last):
File "/Users/habhy/Sites/ComfyUI/execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/habhy/Sites/ComfyUI/execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/habhy/Sites/ComfyUI/execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/habhy/Sites/ComfyUI/custom_nodes/ComfyUI-KwaiKolorsWrapper/nodes.py", line 188, in loadmodel
text_encoder.quantize(4)
File "/Users/habhy/Sites/ComfyUI/custom_nodes/ComfyUI-KwaiKolorsWrapper/kolors/models/modeling_chatglm.py", line 852, in quantize
quantize(self.encoder, weight_bit_width)
File "/Users/habhy/Sites/ComfyUI/custom_nodes/ComfyUI-KwaiKolorsWrapper/kolors/models/quantization.py", line 157, in quantize
weight=layer.self_attention.query_key_value.weight.to(torch.cuda.current_device()),
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/habhy/Sites/ComfyUI/myenv/lib/python3.11/site-packages/torch/cuda/init.py", line 778, in current_device
_lazy_init()
File "/Users/habhy/Sites/ComfyUI/myenv/lib/python3.11/site-packages/torch/cuda/init.py", line 284, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled

[BannyLon]

fp16 可以使用了，只是出一张1024的图需要6分20秒，使用quant8 - 8-9 GB、quant4 - 4-5 GB还是出现AssertionError: Torch not compiled with CUDA enabled报错。

另外想询问下这个插件是不是不能用最新的kolors的ipadapter啊？？？？？

[foggyghost0]

I also have the same error