崩溃在采样器节点了。人也崩溃了。折腾了两周也反复看啦issuses，求救！ #53
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已解决，按照博主这个连接#16 (comment) |
先进D:\ComfyUI_windows_portable\python_embeded\输入cmd，在命令行执行 |
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@ smthemex 请问大佬，我也按照页面，到了加载出现错误。请教一下怎么处理， Prompt executed in 0.06 seconds Prompt executed in 0.24 seconds |
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您的来信已经收到，我会尽快给您回复。
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这是ffmpeg 错误，这个issues里有解决的办法，你仔细找找吧 |
老大，我安装了python -m pip install ffmpeg-python moviepy av，启动也是提示loaded temporal unet's pretrained weights from D:\SD\SD\ComfyUI-aki-v1.4\models\echo_mimic\unet ... |
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大佬，我重启了，好像可以用了，谢谢你解答 |
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你的是让人头大的秋叶包，本来应该是\python\scripts 和 \python 加入系统变量，但是你是用的conda，可能秋叶的沙箱也能调用 |
我也不懂，我看上面那个conda，我AI搜索安装的，我对编程一窍不通。误打误撞 |
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你应该在秋叶的控制台里直接安装就好，不过能用就行，这个话题结束了。 |
got prompt
D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\diffusers\configuration_utils.py:245: FutureWarning: It is deprecated to pass a pretrained model name or path to
from_config.If you were trying to load a model, please use <class 'ComfyUI_EchoMimic.src.models.unet_2d_condition.UNet2DConditionModel'>.load_config(...) followed by <class 'ComfyUI_EchoMimic.src.models.unet_2d_condition.UNet2DConditionModel'>.from_config(...) instead. Otherwise, please make sure to pass a configuration dictionary instead. This functionality will be removed in v1.0.0.deprecate("config-passed-as-path", "1.0.0", deprecation_message, standard_warn=False)
D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\diffusers\models\lora.py:306: FutureWarning:
LoRACompatibleConvis deprecated and will be removed in version 1.0.0. Use ofLoRACompatibleConvis deprecated. Please switch to PEFT backend by installing PEFT:pip install peft.deprecate("LoRACompatibleConv", "1.0.0", deprecation_message)
D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_EchoMimic\EchoMimic_node.py:514: FutureWarning: You are using
torch.loadwithweights_only=False(the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value forweights_onlywill be flipped toTrue. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user viatorch.serialization.add_safe_globals. We recommend you start settingweights_only=Truefor any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.reference_unet.load_state_dict(torch.load(re_ckpt, map_location="cpu"),strict=False)
loaded temporal unet's pretrained weights from D:\ComfyUI_windows_portable\ComfyUI\models\echo_mimic\unet ...
Load motion module params from D:\ComfyUI_windows_portable\ComfyUI\models\echo_mimic\motion_module.pth
Loaded 453.20928M-parameter motion module
D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_EchoMimic\EchoMimic_node.py:549: FutureWarning: You are using
torch.loadwithweights_only=False(the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value forweights_onlywill be flipped toTrue. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user viatorch.serialization.add_safe_globals. We recommend you start settingweights_only=Truefor any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.denoising_unet.load_state_dict(torch.load(denois_pt, map_location="cpu"), strict=False)
D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_EchoMimic\EchoMimic_node.py:563: FutureWarning: You are using
torch.loadwithweights_only=False(the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value forweights_onlywill be flipped toTrue. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user viatorch.serialization.add_safe_globals. We recommend you start settingweights_only=Truefor any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.face_locator.load_state_dict(torch.load(face_locator_pt),strict=False)
D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_EchoMimic\src\models\whisper\whisper_init_.py:109: FutureWarning: You are using
torch.loadwithweights_only=False(the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value forweights_onlywill be flipped toTrue. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user viatorch.serialization.add_safe_globals. We recommend you start settingweights_only=Truefor any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.checkpoint = torch.load(fp, map_location=device)
D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\facenet_pytorch\models\mtcnn.py:34: FutureWarning: You are using
torch.loadwithweights_only=False(the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value forweights_onlywill be flipped toTrue. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user viatorch.serialization.add_safe_globals. We recommend you start settingweights_only=Truefor any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.state_dict = torch.load(state_dict_path)
D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\facenet_pytorch\models\mtcnn.py:79: FutureWarning: You are using
torch.loadwithweights_only=False(the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value forweights_onlywill be flipped toTrue. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user viatorch.serialization.add_safe_globals. We recommend you start settingweights_only=Truefor any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.state_dict = torch.load(state_dict_path)
D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\facenet_pytorch\models\mtcnn.py:132: FutureWarning: You are using
torch.loadwithweights_only=False(the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value forweights_onlywill be flipped toTrue. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user viatorch.serialization.add_safe_globals. We recommend you start settingweights_only=Truefor any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.state_dict = torch.load(state_dict_path)
!!! Exception during processing !!! [WinError 2] 系统找不到指定的文件。
Traceback (most recent call last):
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 317, 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 "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 192, 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 "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_EchoMimic\EchoMimic_node.py", line 678, in em_main
output_video,audio_form_v= process_video(image, audio_file, width, height, length, seeds, facemask_ratio,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_EchoMimic\EchoMimic_node.py", line 208, in process_video
video = pipe(
^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_EchoMimic\src\pipelines\pipeline_echo_mimic.py", line 394, in call
whisper_feature = self.audio_guider.audio2feat(audio_path)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_EchoMimic\src\models\whisper\audio2feature.py", line 100, in audio2feat
result = self.model.transcribe(audio_path)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_EchoMimic\src\models\whisper\whisper\transcribe.py", line 85, in transcribe
mel = log_mel_spectrogram(audio)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_EchoMimic\src\models\whisper\whisper\audio.py", line 111, in log_mel_spectrogram
audio = load_audio(audio)
^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_EchoMimic\src\models\whisper\whisper\audio.py", line 44, in load_audio
.run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\ffmpeg_run.py", line 313, in run
process = run_async(
^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\ffmpeg_run.py", line 284, in run_async
return subprocess.Popen(
^^^^^^^^^^^^^^^^^
File "subprocess.py", line 1026, in init
File "subprocess.py", line 1538, in _execute_child
FileNotFoundError: [WinError 2] 系统找不到指定的文件。
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