ohahaps2 commented 17 hours ago

ComfyUI Error Report

Error Details

Node Type: Joy_caption_two
Exception Type: AssertionError

Exception Message:

Stack Trace


File "H:\sd3\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 "H:\sd3\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 "H:\sd3\ComfyUI\execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)

File "H:\sd3\ComfyUI\execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 290, in generate
joy_two_pipeline.parent.loadModels()

File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 253, in loadModels
self.pipeline.loadModels()

File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 223, in loadModels
self.clip_model = JoyClipVisionModel()
                  ^^^^^^^^^^^^^^^^^^^^

File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 48, in __init__
assert (BASE_MODEL_PATH / "clip_model.pt").exists()

删除手动下载文件，让它自动下载models\clip\siglip-so400m-patch14-384 也是一样的错误，该怎么办大佬？

ohahaps2 commented 12 hours ago

pip install requirements.txt后新的错误又出来了. rope_scaling must be a dictionary with two fields, type and factor, got {'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}

ComfyUI Error Report

Error Details

Node Type: Joy_caption_two
Exception Type: ValueError

Exception Message: rope_scaling must be a dictionary with two fields, type and factor, got {'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}

Stack Trace


File "H:\sd3\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 "H:\sd3\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 "H:\sd3\ComfyUI\execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)

File "H:\sd3\ComfyUI\execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 374, in generate
text_model = joy_two_pipeline.llm.load_llm_model(joy_two_pipeline.model)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 172, in load_llm_model
text_model = AutoModelForCausalLM.from_pretrained(text_model_path,
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\auto\auto_factory.py", line 523, in from_pretrained
config, kwargs = AutoConfig.from_pretrained(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\auto\configuration_auto.py", line 958, in from_pretrained
return config_class.from_dict(config_dict, **unused_kwargs)
       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "H:\sd3\python_embeded\Lib\site-packages\transformers\configuration_utils.py", line 768, in from_dict
config = cls(**config_dict)
         ^^^^^^^^^^^^^^^^^^

File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\llama\configuration_llama.py", line 161, in __init__
self._rope_scaling_validation()

File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\llama\configuration_llama.py", line 182, in _rope_scaling_validation
raise ValueError(

2024-10-12 20:19:38,924 - root - INFO - got prompt 2024-10-12 20:19:40,746 - root - INFO - Requested to load SiglipVisionTransformer 2024-10-12 20:19:40,747 - root - INFO - Loading 1 new model 2024-10-12 20:19:41,034 - root - INFO - loaded completely 0.0 1618.345947265625 True 2024-10-12 20:19:41,569 - root - INFO - Requested to load ImageAdapter 2024-10-12 20:19:41,569 - root - INFO - Loading 1 new model 2024-10-12 20:19:41,583 - root - INFO - loaded completely 0.0 82.078125 True 2024-10-12 20:19:41,937 - root - ERROR - !!! Exception during processing !!! rope_scaling must be a dictionary with two fields, type and factor, got {'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'} 2024-10-12 20:19:41,940 - root - ERROR - Traceback (most recent call last): File "H:\sd3\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 "H:\sd3\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 "H:\sd3\ComfyUI\execution.py", line 169, in _map_node_over_list process_inputs(input_dict, i) File "H:\sd3\ComfyUI\execution.py", line 158, in process_inputs results.append(getattr(obj, func)(inputs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 374, in generate text_model = joy_two_pipeline.llm.load_llm_model(joy_two_pipeline.model) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 172, in load_llm_model text_model = AutoModelForCausalLM.from_pretrained(text_model_path, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\auto\auto_factory.py", line 523, in from_pretrained config, kwargs = AutoConfig.from_pretrained( ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\auto\configuration_auto.py", line 958, in from_pretrained return config_class.from_dict(config_dict, unused_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\configuration_utils.py", line 768, in from_dict config = cls(**config_dict) ^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\llama\configuration_llama.py", line 161, in init self._rope_scaling_validation() File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\llama\configuration_llama.py", line 182, in _rope_scaling_validation raise ValueError( ValueError: rope_scaling must be a dictionary with two fields, type and factor, got {'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}

2024-10-12 20:19:41,943 - root - INFO - Prompt executed in 3.00 seconds 2024-10-12 20:20:47,288 - root - INFO - got prompt 2024-10-12 20:20:47,538 - root - ERROR - !!! Exception during processing !!! rope_scaling must be a dictionary with two fields, type and factor, got {'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'} 2024-10-12 20:20:47,539 - root - ERROR - Traceback (most recent call last): File "H:\sd3\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 "H:\sd3\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 "H:\sd3\ComfyUI\execution.py", line 169, in _map_node_over_list process_inputs(input_dict, i) File "H:\sd3\ComfyUI\execution.py", line 158, in process_inputs results.append(getattr(obj, func)(inputs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 374, in generate text_model = joy_two_pipeline.llm.load_llm_model(joy_two_pipeline.model) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 172, in load_llm_model text_model = AutoModelForCausalLM.from_pretrained(text_model_path, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\auto\auto_factory.py", line 523, in from_pretrained config, kwargs = AutoConfig.from_pretrained( ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\auto\configuration_auto.py", line 958, in from_pretrained return config_class.from_dict(config_dict, unused_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\configuration_utils.py", line 768, in from_dict config = cls(**config_dict) ^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\llama\configuration_llama.py", line 161, in init self._rope_scaling_validation() File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\llama\configuration_llama.py", line 182, in _rope_scaling_validation raise ValueError( ValueError: rope_scaling must be a dictionary with two fields, type and factor, got {'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}

2024-10-12 20:20:47,540 - root - INFO - Prompt executed in 0.23 seconds 2024-10-12 20:21:45,770 - root - INFO - got prompt 2024-10-12 20:21:45,928 - root - ERROR - !!! Exception during processing !!! rope_scaling must be a dictionary with two fields, type and factor, got {'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'} 2024-10-12 20:21:45,929 - root - ERROR - Traceback (most recent call last): File "H:\sd3\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 "H:\sd3\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 "H:\sd3\ComfyUI\execution.py", line 169, in _map_node_over_list process_inputs(input_dict, i) File "H:\sd3\ComfyUI\execution.py", line 158, in process_inputs results.append(getattr(obj, func)(inputs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 374, in generate text_model = joy_two_pipeline.llm.load_llm_model(joy_two_pipeline.model) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 172, in load_llm_model text_model = AutoModelForCausalLM.from_pretrained(text_model_path, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\auto\auto_factory.py", line 523, in from_pretrained config, kwargs = AutoConfig.from_pretrained( ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\auto\configuration_auto.py", line 958, in from_pretrained return config_class.from_dict(config_dict, unused_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\configuration_utils.py", line 768, in from_dict config = cls(**config_dict) ^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\llama\configuration_llama.py", line 161, in init self._rope_scaling_validation() File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\llama\configuration_llama.py", line 182, in _rope_scaling_validation raise ValueError( ValueError: rope_scaling must be a dictionary with two fields, type and factor, got {'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}

2024-10-12 20:21:45,931 - root - INFO - Prompt executed in 0.14 seconds 2024-10-12 20:23:21,945 - root - INFO - got prompt 2024-10-12 20:23:22,178 - root - ERROR - !!! Exception during processing !!! rope_scaling must be a dictionary with two fields, type and factor, got {'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'} 2024-10-12 20:23:22,179 - root - ERROR - Traceback (most recent call last): File "H:\sd3\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 "H:\sd3\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 "H:\sd3\ComfyUI\execution.py", line 169, in _map_node_over_list process_inputs(input_dict, i) File "H:\sd3\ComfyUI\execution.py", line 158, in process_inputs results.append(getattr(obj, func)(inputs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 374, in generate text_model = joy_two_pipeline.llm.load_llm_model(joy_two_pipeline.model) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\ComfyUI\custom_nodes\ComfyUI_SLK_joy_caption_two\joy_caption_two_node.py", line 172, in load_llm_model text_model = AutoModelForCausalLM.from_pretrained(text_model_path, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\auto\auto_factory.py", line 523, in from_pretrained config, kwargs = AutoConfig.from_pretrained( ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\auto\configuration_auto.py", line 958, in from_pretrained return config_class.from_dict(config_dict, unused_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\configuration_utils.py", line 768, in from_dict config = cls(**config_dict) ^^^^^^^^^^^^^^^^^^ File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\llama\configuration_llama.py", line 161, in init self._rope_scaling_validation() File "H:\sd3\python_embeded\Lib\site-packages\transformers\models\llama\configuration_llama.py", line 182, in _rope_scaling_validation raise ValueError( ValueError: rope_scaling must be a dictionary with two fields, type and factor, got {'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}

2024-10-12 20:23:22,181 - root - INFO - Prompt executed in 0.21 seconds


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EvilBT commented 10 hours ago

你这里感觉应该是模型下载不完整之类的问题，建议从国内镜像下载整个目录下的文件，再复制到指定目录下，我截图里有确定的位置的，你再试试

ohahaps2 commented 9 hours ago

这个不用下吧，看你说用那个bnb-4bit小显存，我就没下载那个大的 “”“把整个文件夹内的内容复制到 models\LLM\Meta-Llama-3.1-8B-Instruct-bnb-4bit 下

国外:meta-llama/Meta-Llama-3.1-8B

国内:hf/meta-llama/Meta-Llama-3.1-8B”“”

biubiubiyabiu commented 8 hours ago

输入类型（torch.cuda.HalfTensor）和权重类型（torch.FloatTensor）应该相同，大佬，这是啥问题？

ohahaps2 commented 8 hours ago

全部重新下载了还是一样的报第二个错。

biubiubiyabiu commented 7 hours ago

ComfyUI Error Report

Error Details

Node Type: Joy_caption_two
Exception Type: RuntimeError
Exception Message: Input type (torch.cuda.HalfTensor) and weight type (torch.FloatTensor) should be the same
Stack Trace
```
![Uploading 微信截图_20241013013201.png…]()
```

ohahaps2 commented 7 hours ago

我照网上的办法修改了models\clip\siglip-so400m-patch14-384\config.json "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "type": "dynamic" 就能正常工作了，说是transformers新版本 rope_scaling 一些参数变了。

EvilBT commented 4 hours ago

ComfyUI Error Report ComfyUI 错误报告

Error Details 错误详情

Node Type: Joy_caption_two节点类型: Joy_caption_two

Exception Type: RuntimeError异常类型：运行时错误

Exception Message: Input type (torch.cuda.HalfTensor) and weight type (torch.FloatTensor) should be the same异常消息：输入类型（torch.cuda.HalfTensor）和权重类型（torch.FloatTensor）应保持一致

Stack Trace 堆栈跟踪
![Uploading 微信截图_20241013013201.png…]()

你的截图看不到呀，这个应该是系统默认的创建张量类型不一致导致的，因为我的系统比较老旧，不能够充分测试，所以你再提供一下详细的截图给我看看？我也方便更新代码，我的系统是rtx2080 8G的显卡，默认是能正常使用的，但是我也遇到过类似的，结果现在还是在你这边的环境下遇到了

EvilBT / ComfyUI_SLK_joy_caption_two

Joy_caption_two直接报错， #1

ComfyUI Error Report

Error Details

Stack Trace

ComfyUI Error Report

Error Details

Stack Trace

ComfyUI Error Report

Error Details

Stack Trace

ComfyUI Error Report ComfyUI 错误报告

Error Details 错误详情

Stack Trace 堆栈跟踪