Comfy-Org / Comfy-Org/ComfyUI

qwen edit mistake

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Potential Bug
Dominant language
Python
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1d 7h
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Description

### Custom Node Testing

- [ ] I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-with-all-custom-nodes-disabled) if you need help)

### Expected Behavior

i don't know

### Actual Behavior

RuntimeError: C:\b\pytorch\build\aten\src\ATen\RegisterCompositeExplicitAutograd_0.cpp:10423: SymIntArrayRef expected to contain only concrete integers

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 524, in execute
output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 333, in get_output_data
return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 307, in _async_map_node_over_list
await process_inputs(input_dict, i)

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 295, in process_inputs
result = f(**inputs)
^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy_api\internal\__init__.py", line 149, in wrapped_func
return method(locked_class, **inputs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy_api\latest\_io.py", line 1764, in EXECUTE_NORMALIZED
to_return = cls.execute(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy_extras\nodes_qwen.py", line 103, in execute
conditioning = clip.encode_from_tokens_scheduled(tokens)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd.py", line 313, in encode_from_tokens_scheduled
pooled_dict = self.encode_from_tokens(tokens, return_pooled=return_pooled, return_dict=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd.py", line 377, in encode_from_tokens
o = self.cond_stage_model.encode_token_weights(tokens)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\text_encoders\qwen_image.py", line 62, in encode_token_weights
out, pooled, extra = super().encode_token_weights(token_weight_pairs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd1_clip.py", line 737, in encode_token_weights
out = getattr(self, self.clip).encode_token_weights(token_weight_pairs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd1_clip.py", line 45, in encode_token_weights
o = self.encode(to_encode)
^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd1_clip.py", line 306, in encode
return self(tokens)
^^^^^^^^^^^^

File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd1_clip.py", line 266, in forward
embeds, attention_mask, num_tokens, embeds_info = self.process_tokens(tokens, device)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd1_clip.py", line 228, in process_tokens
emb, extra = self.transformer.preprocess_embed(emb, device=device)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\text_encoders\llama.py", line 1019, in preprocess_embed
return self.visual(image.to(device, dtype=torch.float32), grid), grid
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\text_encoders\qwen_vl.py", line 425, in forward
hidden_states = block(hidden_states, position_embeddings, cu_seqlens_now, optimized_attention=optimized_attention)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\text_encoders\qwen_vl.py", line 252, in forward
hidden_states = self.attn(hidden_states, position_embeddings, cu_seqlens, optimized_attention)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\text_encoders\qwen_vl.py", line 209, in forward
torch.split(tensor, lengths.tolist(), dim=2) for tensor in (query_states, key_states, value_states)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\functional.py", line 173, in split
return tensor.split(split_size_or_sections, dim)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\_tensor.py", line 1030, in split
return torch._VF.split_with_sizes(self, split_size, dim)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

### Steps to Reproduce

This problem occurs the second time qwen edit is run; it works normally the first time.

### Debug Logs

```powershell
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Found quantization metadata version 1
Detected mixed precision quantization
Using mixed precision operations
model weight dtype torch.float16, manual cast: torch.float16
model_type FLOW
unet unexpected: ['model.diffusion_model.blocks.0.cross_attn.k.comfy_quant', 'model.diffusion_model.blocks.0.cross_attn.o.comfy_quant', 'model.diffusion_model.blocks.0.cross_attn.q.comfy_quant', 'model.diffusion_model.blocks.0.cross_attn.v.comfy_quant', 'model.diffusion_model.blocks.0.ffn.0.comfy_quant', 'model.diffusion_model.blocks.0.ffn.2.comfy_quant', 'model.diffusion_model.blocks.0.self_attn.k.comfy_quant', 'model.diffusion_model.blocks.0.self_attn.o.comfy_quant', 'model.diffusion_model.blocks.0.self_attn.q.comfy_quant', 'model.diffusion_model.blocks.0.self_attn.v.comfy_quant', 'model.diffusion_model.blocks.1.cross_attn.k.comfy_quant', 'model.diffusion_model.blocks.1.cross_attn.o.comfy_quant', 'model.diffusion_model.blocks.1.cross_attn.q.comfy_quant', 'model.diffusion_model.blocks.1.cross_attn.v.comfy_quant', 'model.diffusion_model.blocks.1.ffn.0.comfy_quant', 'model.diffusion_model.blocks.1.ffn.2.comfy_quant', 'model.diffusion_model.blocks.1.self_attn.k.comfy_quant', 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'model.diffusion_model.blocks.4.cross_attn.k.comfy_quant', 'model.diffusion_model.blocks.4.cross_attn.o.comfy_quant', 'model.diffusion_model.blocks.4.cross_attn.q.comfy_quant', 'model.diffusion_model.blocks.4.cross_attn.v.comfy_quant', 'model.diffusion_model.blocks.4.ffn.0.comfy_quant', 'model.diffusion_model.blocks.4.ffn.2.comfy_quant', 'model.diffusion_model.blocks.4.self_attn.k.comfy_quant', 'model.diffusion_model.blocks.4.self_attn.o.comfy_quant', 'model.diffusion_model.blocks.4.self_attn.q.comfy_quant', 'model.diffusion_model.blocks.4.self_attn.v.comfy_quant', 'model.diffusion_model.blocks.5.cross_attn.k.comfy_quant', 'model.diffusion_model.blocks.5.cross_attn.o.comfy_quant', 'model.diffusion_model.blocks.5.cross_attn.q.comfy_quant', 'model.diffusion_model.blocks.5.cross_attn.v.comfy_quant', 'model.diffusion_model.blocks.5.ffn.0.comfy_quant', 'model.diffusion_model.blocks.5.ffn.2.comfy_quant', 'model.diffusion_model.blocks.5.self_attn.k.comfy_quant', 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'model.diffusion_model.blocks.9.cross_attn.o.comfy_quant', 'model.diffusion_model.blocks.9.cross_attn.q.comfy_quant', 'model.diffusion_model.blocks.9.cross_attn.v.comfy_quant', 'model.diffusion_model.blocks.9.ffn.0.comfy_quant', 'model.diffusion_model.blocks.9.ffn.2.comfy_quant', 'model.diffusion_model.blocks.9.self_attn.k.comfy_quant', 'model.diffusion_model.blocks.9.self_attn.o.comfy_quant', 'model.diffusion_model.blocks.9.self_attn.q.comfy_quant', 'model.diffusion_model.blocks.9.self_attn.v.comfy_quant']
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
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Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9630.45 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 460.37 seconds
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loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
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Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
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Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9630.45 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 478.31 seconds
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
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Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
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0%| | 0/2 [00:00
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
100%|██████████| 2/2 [01:55<00:00, 57.69s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9322.83 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 555.73 seconds
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
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Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [01:54<00:00, 57.39s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9322.83 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 459.40 seconds
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
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Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
50%|█████ | 1/2 [00:58<00:58, 58.47s/it]Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle:
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
100%|██████████| 2/2 [01:55<00:00, 57.57s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9322.83 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 478.95 seconds
Requested to load WAN21
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle:
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle:
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [01:54<00:00, 57.32s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [01:55<00:00, 57.67s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9322.83 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 474.69 seconds
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle:
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [02:56<00:00, 88.02s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [02:08<00:00, 64.30s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9322.83 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 571.80 seconds
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle:
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [01:54<00:00, 57.49s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [03:53<00:00, 116.64s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9630.45 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 583.79 seconds
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [01:55<00:00, 57.65s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [03:52<00:00, 116.36s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9630.45 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 598.16 seconds
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [04:37<00:00, 138.71s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [02:07<00:00, 63.53s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9322.83 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 00:10:53
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
0%| | 0/2 [00:00
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle:
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle:
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
100%|██████████| 2/2 [02:54<00:00, 87.10s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8590.74 MB usable, 8452.58 MB loaded, 5400.40 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [02:07<00:00, 63.50s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9322.83 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 560.40 seconds
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [01:55<00:00, 57.89s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [03:53<00:00, 116.58s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9630.45 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 574.82 seconds
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [01:55<00:00, 57.62s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [03:53<00:00, 116.58s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9630.45 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 573.32 seconds
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle:
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle:
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [02:14<00:00, 67.15s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [03:52<00:00, 116.43s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9630.45 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 00:10:08
Requested to load WAN21
got prompt
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [02:14<00:00, 67.25s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WAN21
loaded partially; 8939.14 MB usable, 8802.72 MB loaded, 5050.26 MB offloaded, 175.03 MB buffer reserved, lowvram patches: 0
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████| 2/2 [03:52<00:00, 116.03s/it]
Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
Requested to load WanVAE
loaded completely; 9630.45 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 00:10:02
model weight dtype torch.float8_e4m3fn, manual cast: torch.bfloat16
model_type FLUX
Using split attention in VAE
Using split attention in VAE
VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16
CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
Found quantization metadata version 1
Using MixedPrecisionOps for text encoder
CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
Requested to load QwenImageTEModel_
loaded completely; 14040.74 MB usable, 7910.28 MB loaded, full load: True
Requested to load WanVAE
loaded completely; 3601.92 MB usable, 242.03 MB loaded, full load: True
Requested to load QwenImage
loaded partially; 13379.98 MB usable, 13198.88 MB loaded, 6285.07 MB offloaded, 180.01 MB buffer reserved, lowvram patches: 0
100%|██████████| 4/4 [03:32<00:00, 53.17s/it]
Requested to load WanVAE
Unloaded partially: 5276.30 MB freed, 7922.58 MB remains loaded, 180.06 MB buffer reserved, lowvram patches: 0
loaded completely; 2997.44 MB usable, 242.03 MB loaded, full load: True
Prompt executed in 452.81 seconds
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle:
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\events.py", line 88, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\Administrator\AppData\Roaming\uv\python\cpython-3.12.11-windows-x86_64-none\Lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] 远程主机强迫关闭了一个现有的连接。
got prompt
Requested to load QwenImageTEModel_
Unloaded partially: 3277.07 MB freed, 4645.51 MB remains loaded, 270.09 MB buffer reserved, lowvram patches: 0
loaded completely; 8812.86 MB usable, 7910.28 MB loaded, full load: True
!!! Exception during processing !!! C:\b\pytorch\build\aten\src\ATen\RegisterCompositeExplicitAutograd_0.cpp:10423: SymIntArrayRef expected to contain only concrete integers
Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 524, in execute
output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 333, in get_output_data
return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 307, in _async_map_node_over_list
await process_inputs(input_dict, i)
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 295, in process_inputs
result = f(**inputs)
^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy_api\internal\__init__.py", line 149, in wrapped_func
return method(locked_class, **inputs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy_api\latest\_io.py", line 1764, in EXECUTE_NORMALIZED
to_return = cls.execute(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy_extras\nodes_qwen.py", line 103, in execute
conditioning = clip.encode_from_tokens_scheduled(tokens)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd.py", line 313, in encode_from_tokens_scheduled
pooled_dict = self.encode_from_tokens(tokens, return_pooled=return_pooled, return_dict=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd.py", line 377, in encode_from_tokens
o = self.cond_stage_model.encode_token_weights(tokens)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\text_encoders\qwen_image.py", line 62, in encode_token_weights
out, pooled, extra = super().encode_token_weights(token_weight_pairs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd1_clip.py", line 737, in encode_token_weights
out = getattr(self, self.clip).encode_token_weights(token_weight_pairs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd1_clip.py", line 45, in encode_token_weights
o = self.encode(to_encode)
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd1_clip.py", line 306, in encode
return self(tokens)
^^^^^^^^^^^^
File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd1_clip.py", line 266, in forward
embeds, attention_mask, num_tokens, embeds_info = self.process_tokens(tokens, device)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\sd1_clip.py", line 228, in process_tokens
emb, extra = self.transformer.preprocess_embed(emb, device=device)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\text_encoders\llama.py", line 1019, in preprocess_embed
return self.visual(image.to(device, dtype=torch.float32), grid), grid
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\text_encoders\qwen_vl.py", line 425, in forward
hidden_states = block(hidden_states, position_embeddings, cu_seqlens_now, optimized_attention=optimized_attention)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\text_encoders\qwen_vl.py", line 252, in forward
hidden_states = self.attn(hidden_states, position_embeddings, cu_seqlens, optimized_attention)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Administrator\AppData\Local\Programs\ComfyUI\resources\ComfyUI\comfy\text_encoders\qwen_vl.py", line 209, in forward
torch.split(tensor, lengths.tolist(), dim=2) for tensor in (query_states, key_states, value_states)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\functional.py", line 173, in split
return tensor.split(split_size_or_sections, dim)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ADM-comfyui\.venv\Lib\site-packages\torch\_tensor.py", line 1030, in split
return torch._VF.split_with_sizes(self, split_size, dim)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: C:\b\pytorch\build\aten\src\ATen\RegisterCompositeExplicitAutograd_0.cpp:10423: SymIntArrayRef expected to contain only concrete integers

Prompt executed in 7.23 seconds
```

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