Error occurred when executing UltraPixelProcess:

[JunpeakChen]

Error(s) in loading state_dict for CLIPTextModelWithProjection: size mismatch for text_projection.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([512, 1280]). You may consider adding ignore_mismatched_sizes=True in the model from_pretrained method.

File "E:\Comfy UI\ComfyUI-aki-v1.3\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "E:\Comfy UI\ComfyUI-aki-v1.3\execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "E:\Comfy UI\ComfyUI-aki-v1.3\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "E:\Comfy UI\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-UltraPixel\nodes.py", line 209, in ultrapixel image, edge_preview = model.process() File "E:\Comfy UI\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-UltraPixel\ultrapixel.py", line 127, in process models = core.setup_models(extras) File "E:\Comfy UI\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-UltraPixel\train\train_t2i.py", line 420, in setup_models CLIPTextModelWithProjection.from_pretrained( File "E:\Comfy UI\ComfyUI-aki-v1.3\python\lib\site-packages\transformers\modeling_utils.py", line 3838, in from_pretrained ) = cls._load_pretrained_model( File "E:\Comfy UI\ComfyUI-aki-v1.3\python\lib\site-packages\transformers\modeling_utils.py", line 4349, in _load_pretrained_model raise RuntimeError(f"Error(s) in loading state_dict for {model.class.name}:\n\t{error_msg}")

I'd like to ask for help in resolving this. Thank you.请求帮忙解决，谢谢。