(venv) C:\ComfyUI>python main.py --listen 0.0.0.0 --port 9999 --use-sage-attention --auto-launch
[START] Security scan
[DONE] Security scan
## ComfyUI-Manager: installing dependencies done.
** ComfyUI startup time: 2025-11-30 22:00:33.314
** Platform: Windows
** Python version: 3.13.9 (tags/v3.13.9:8183fa5, Oct 14 2025, 14:09:13) [MSC v.1944 64 bit (AMD64)]
** Python executable: C:\ComfyUI\venv\Scripts\python.exe
** ComfyUI Path: C:\ComfyUI
** ComfyUI Base Folder Path: C:\ComfyUI
** User directory: C:\ComfyUI\user
** ComfyUI-Manager config path: C:\ComfyUI\user\default\ComfyUI-Manager\config.ini
** Log path: C:\ComfyUI\user\comfyui.log

Prestartup times for custom nodes:
   4.9 seconds: C:\ComfyUI\custom_nodes\ComfyUI-Manager

Checkpoint files will always be loaded safely.
Total VRAM 8187 MB, total RAM 15834 MB
pytorch version: 2.9.1+cu130
WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.9.0+cu128 with CUDA 1208 (you have 2.9.1+cu130)
    Python  3.10.11 (you have 3.13.9)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
Traceback (most recent call last):
  File "C:\ComfyUI\venv\Lib\site-packages\torch\_ops.py", line 1488, in load_library
    ctypes.CDLL(path)
    ~~~~~~~~~~~^^^^^^
  File "C:\Users\studi\AppData\Local\Programs\Python\Python313\Lib\ctypes\__init__.py", line 390, in __init__
    self._handle = _dlopen(self._name, mode)
                   ~~~~~~~^^^^^^^^^^^^^^^^^^
FileNotFoundError: Could not find module 'C:\ComfyUI\venv\Lib\site-packages\xformers\_C.pyd' (or one of its dependencies). Try using the full path with constructor syntax.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\ComfyUI\venv\Lib\site-packages\xformers\_cpp_lib.py", line 132, in _register_extensions
    torch.ops.load_library(ext_specs.origin)
    ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\_ops.py", line 1490, in load_library
    raise OSError(f"Could not load this library: {path}") from e
OSError: Could not load this library: C:\ComfyUI\venv\Lib\site-packages\xformers\_C.pyd

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\ComfyUI\venv\Lib\site-packages\xformers\_cpp_lib.py", line 142, in <module>
    _build_metadata = _register_extensions()
  File "C:\ComfyUI\venv\Lib\site-packages\xformers\_cpp_lib.py", line 134, in _register_extensions
    raise xFormersInvalidLibException(build_metadata) from exc
xformers._cpp_lib.xFormersInvalidLibException: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.9.0+cu128 with CUDA 1208 (you have 2.9.1+cu130)
    Python  3.10.11 (you have 3.13.9)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 4060 : cudaMallocAsync
Using async weight offloading with 2 streams
Enabled pinned memory 7125.0
working around nvidia conv3d memory bug.
Using sage attention
Python version: 3.13.9 (tags/v3.13.9:8183fa5, Oct 14 2025, 14:09:13) [MSC v.1944 64 bit (AMD64)]
ComfyUI version: 0.3.75
________________________________________________________________________
WARNING WARNING WARNING WARNING WARNING

Installed frontend version 1.30.6 is lower than the recommended version 1.32.9.

Please install the updated requirements.txt file by running:
C:\ComfyUI\venv\Scripts\python.exe -m pip install -r C:\ComfyUI\requirements.txt
If you are on the portable package you can run: update\update_comfyui.bat to solve this problem.

This error is happening because the ComfyUI frontend is no longer shipped as part of the main repo but as a pip package instead.
________________________________________________________________________
[Prompt Server] web root: C:\ComfyUI\venv\Lib\site-packages\comfyui_frontend_package\static
Total VRAM 8187 MB, total RAM 15834 MB
pytorch version: 2.9.1+cu130
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 4060 : cudaMallocAsync
Using async weight offloading with 2 streams
Enabled pinned memory 7125.0
### Loading: ComfyUI-Manager (V3.37.2)
[ComfyUI-Manager] network_mode: public
### ComfyUI Version: v0.3.75-30-gf8b981ae | Released on '2025-11-30'
[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json
[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json
[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json
[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json
[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json
WanVideoWrapper WARNING: FantasyPortrait nodes not available due to error in importing them: No module named 'onnx'

Import times for custom nodes:
   0.0 seconds: C:\ComfyUI\custom_nodes\websocket_image_save.py
   0.3 seconds: C:\ComfyUI\custom_nodes\ComfyUI-KJNodes
   0.6 seconds: C:\ComfyUI\custom_nodes\ComfyUI-Manager
   3.6 seconds: C:\ComfyUI\custom_nodes\ComfyUI-WanVideoWrapper

FETCH ComfyRegistry Data: 5/109
Context impl SQLiteImpl.
Will assume non-transactional DDL.
No target revision found.
________________________________________________________________________
WARNING WARNING WARNING WARNING WARNING

Installed frontend version 1.30.6 is lower than the recommended version 1.32.9.

Please install the updated requirements.txt file by running:
C:\ComfyUI\venv\Scripts\python.exe -m pip install -r C:\ComfyUI\requirements.txt
If you are on the portable package you can run: update\update_comfyui.bat to solve this problem.

This error is happening because the ComfyUI frontend is no longer shipped as part of the main repo but as a pip package instead.
________________________________________________________________________
Starting server

To see the GUI go to: http://0.0.0.0:9999
[DEPRECATION WARNING] Detected import of deprecated legacy API: /scripts/ui.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.
[DEPRECATION WARNING] Detected import of deprecated legacy API: /extensions/core/groupNode.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.
[DEPRECATION WARNING] Detected import of deprecated legacy API: /scripts/ui/components/buttonGroup.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.
[DEPRECATION WARNING] Detected import of deprecated legacy API: /scripts/ui/components/button.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.
FETCH ComfyRegistry Data: 10/109
FETCH ComfyRegistry Data: 15/109
FETCH ComfyRegistry Data: 20/109
FETCH ComfyRegistry Data: 25/109
FETCH ComfyRegistry Data: 30/109
FETCH ComfyRegistry Data: 35/109
FETCH ComfyRegistry Data: 40/109
got prompt
Using pytorch attention in VAE
Using pytorch attention in VAE
FETCH ComfyRegistry Data: 45/109
VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16
Using scaled fp8: fp8 matrix mult: False, scale input: False
CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
FETCH ComfyRegistry Data: 50/109
FETCH ComfyRegistry Data: 55/109
FETCH ComfyRegistry Data: 60/109
FETCH ComfyRegistry Data: 65/109
Requested to load ZImageTEModel_
FETCH ComfyRegistry Data: 70/109
loaded completely; 5677.80 MB usable, 4207.25 MB loaded, full load: True
Found quantization metadata (version 1.0)
Detected mixed precision quantization: 179 layers quantized
Using mixed precision operations: 179 quantized layers
model weight dtype torch.float8_e4m3fn, manual cast: torch.bfloat16
model_type FLOW
unet missing: ['norm_final.weight']
TorchCompileModelAdvanced: Compile key list:
 - diffusion_model.layers.0
 - diffusion_model.layers.1
 - diffusion_model.layers.2
 - diffusion_model.layers.3
 - diffusion_model.layers.4
 - diffusion_model.layers.5
 - diffusion_model.layers.6
 - diffusion_model.layers.7
 - diffusion_model.layers.8
 - diffusion_model.layers.9
 - diffusion_model.layers.10
 - diffusion_model.layers.11
 - diffusion_model.layers.12
 - diffusion_model.layers.13
 - diffusion_model.layers.14
 - diffusion_model.layers.15
 - diffusion_model.layers.16
 - diffusion_model.layers.17
 - diffusion_model.layers.18
 - diffusion_model.layers.19
 - diffusion_model.layers.20
 - diffusion_model.layers.21
 - diffusion_model.layers.22
 - diffusion_model.layers.23
 - diffusion_model.layers.24
 - diffusion_model.layers.25
 - diffusion_model.layers.26
 - diffusion_model.layers.27
 - diffusion_model.layers.28
 - diffusion_model.layers.29
Requested to load Lumina2
FETCH ComfyRegistry Data: 75/109
FETCH ComfyRegistry Data: 80/109
FETCH ComfyRegistry Data: 85/109
FETCH ComfyRegistry Data: 90/109
FETCH ComfyRegistry Data: 95/109
FETCH ComfyRegistry Data: 100/109
FETCH ComfyRegistry Data: 105/109
FETCH ComfyRegistry Data [DONE]
[ComfyUI-Manager] default cache updated: https://api.comfy.org/nodes
FETCH DATA from: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json [DONE]
[ComfyUI-Manager] All startup tasks have been completed.
loaded partially; 5635.67 MB usable, 5523.17 MB loaded, 1044.61 MB offloaded, 112.50 MB buffer reserved, lowvram patches: 0
  0%|                                                                                                                                                                                                                 | 0/4 [00:00<?, ?it/s]QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
W1130 22:03:05.781000 1092 venv\Lib\site-packages\torch\_inductor\utils.py:1613] [0/2] Not enough SMs to use max_autotune_gemm mode
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
 25%|██████████████████████████████████████████████████▎                                                                                                                                                      | 1/4 [00:35<01:46, 35.48s/it]QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
QuantizedTensor: dtype conversion requested to torch.bfloat16, but not supported for quantized tensors. Ignoring dtype.
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 4/4 [00:52<00:00, 13.11s/it]
Requested to load AutoencodingEngine
!!! Exception during processing !!! _apply(): Couldn't swap Linear.weight
Traceback (most recent call last):
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 979, in _apply
    torch.utils.swap_tensors(param, param_applied)
    ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\utils\__init__.py", line 45, in swap_tensors
    raise RuntimeError("Cannot swap t1 because it has weakref associated with it")
RuntimeError: Cannot swap t1 because it has weakref associated with it

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\ComfyUI\execution.py", line 510, 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, hidden_inputs=hidden_inputs)
                                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\execution.py", line 324, 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, hidden_inputs=hidden_inputs)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\execution.py", line 298, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "C:\ComfyUI\execution.py", line 286, in process_inputs
    result = f(**inputs)
  File "C:\ComfyUI\nodes.py", line 295, in decode
    images = vae.decode(samples["samples"])
  File "C:\ComfyUI\comfy\sd.py", line 745, in decode
    model_management.load_models_gpu([self.patcher], memory_required=memory_used, force_full_load=self.disable_offload)
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\model_management.py", line 671, in load_models_gpu
    free_memory(total_memory_required[device] * 1.1 + extra_mem, device)
    ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\model_management.py", line 603, in free_memory
    if current_loaded_models[i].model_unload(memory_to_free):
       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\model_management.py", line 526, in model_unload
    freed = self.model.partially_unload(self.model.offload_device, memory_to_free)
  File "C:\ComfyUI\comfy\model_patcher.py", line 913, in partially_unload
    m.to(device_to)
    ~~~~^^^^^^^^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 1371, in to
    return self._apply(convert)
           ~~~~~~~~~~~^^^^^^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 983, in _apply
    raise RuntimeError(
        f"_apply(): Couldn't swap {self._get_name()}.{key}"
    ) from e
RuntimeError: _apply(): Couldn't swap Linear.weight

Prompt executed in 121.84 seconds
got prompt
TorchCompileModelAdvanced: Compile key list:
 - diffusion_model.layers.0
 - diffusion_model.layers.1
 - diffusion_model.layers.2
 - diffusion_model.layers.3
 - diffusion_model.layers.4
 - diffusion_model.layers.5
 - diffusion_model.layers.6
 - diffusion_model.layers.7
 - diffusion_model.layers.8
 - diffusion_model.layers.9
 - diffusion_model.layers.10
 - diffusion_model.layers.11
 - diffusion_model.layers.12
 - diffusion_model.layers.13
 - diffusion_model.layers.14
 - diffusion_model.layers.15
 - diffusion_model.layers.16
 - diffusion_model.layers.17
 - diffusion_model.layers.18
 - diffusion_model.layers.19
 - diffusion_model.layers.20
 - diffusion_model.layers.21
 - diffusion_model.layers.22
 - diffusion_model.layers.23
 - diffusion_model.layers.24
 - diffusion_model.layers.25
 - diffusion_model.layers.26
 - diffusion_model.layers.27
 - diffusion_model.layers.28
 - diffusion_model.layers.29
Requested to load Lumina2
!!! Exception during processing !!! _apply(): Couldn't swap Linear.weight
Traceback (most recent call last):
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 979, in _apply
    torch.utils.swap_tensors(param, param_applied)
    ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\utils\__init__.py", line 45, in swap_tensors
    raise RuntimeError("Cannot swap t1 because it has weakref associated with it")
RuntimeError: Cannot swap t1 because it has weakref associated with it

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\ComfyUI\comfy\model_patcher.py", line 972, in partially_load
    self.load(device_to, lowvram_model_memory=current_used + extra_memory, force_patch_weights=force_patch_weights, full_load=full_load)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\model_patcher.py", line 785, in load
    x[2].to(device_to)
    ~~~~~~~^^^^^^^^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 1371, in to
    return self._apply(convert)
           ~~~~~~~~~~~^^^^^^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 983, in _apply
    raise RuntimeError(
        f"_apply(): Couldn't swap {self._get_name()}.{key}"
    ) from e
RuntimeError: _apply(): Couldn't swap Linear.weight

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 979, in _apply
    torch.utils.swap_tensors(param, param_applied)
    ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\utils\__init__.py", line 45, in swap_tensors
    raise RuntimeError("Cannot swap t1 because it has weakref associated with it")
RuntimeError: Cannot swap t1 because it has weakref associated with it

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\ComfyUI\execution.py", line 510, 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, hidden_inputs=hidden_inputs)
                                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\execution.py", line 324, 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, hidden_inputs=hidden_inputs)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\execution.py", line 298, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "C:\ComfyUI\execution.py", line 286, in process_inputs
    result = f(**inputs)
  File "C:\ComfyUI\nodes.py", line 1535, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "C:\ComfyUI\nodes.py", line 1502, in common_ksampler
    samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
                                  denoise=denoise, disable_noise=disable_noise, start_step=start_step, last_step=last_step,
                                  force_full_denoise=force_full_denoise, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "C:\ComfyUI\comfy\sample.py", line 60, in sample
    samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "C:\ComfyUI\comfy\samplers.py", line 1163, in sample
    return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "C:\ComfyUI\comfy\samplers.py", line 1053, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\samplers.py", line 1035, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "C:\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\samplers.py", line 984, in outer_sample
    self.inner_model, self.conds, self.loaded_models = comfy.sampler_helpers.prepare_sampling(self.model_patcher, noise.shape, self.conds, self.model_options)
                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\sampler_helpers.py", line 130, in prepare_sampling
    return executor.execute(model, noise_shape, conds, model_options=model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\sampler_helpers.py", line 138, in _prepare_sampling
    comfy.model_management.load_models_gpu([model] + models, memory_required=memory_required + inference_memory, minimum_memory_required=minimum_memory_required + inference_memory)
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\model_management.py", line 701, in load_models_gpu
    loaded_model.model_load(lowvram_model_memory, force_patch_weights=force_patch_weights)
    ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\model_management.py", line 506, in model_load
    self.model_use_more_vram(use_more_vram, force_patch_weights=force_patch_weights)
    ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\model_management.py", line 536, in model_use_more_vram
    return self.model.partially_load(self.device, extra_memory, force_patch_weights=force_patch_weights)
           ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\model_patcher.py", line 974, in partially_load
    self.detach()
    ~~~~~~~~~~~^^
  File "C:\ComfyUI\comfy\model_patcher.py", line 983, in detach
    self.unpatch_model(self.offload_device, unpatch_weights=unpatch_all)
    ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ComfyUI\comfy\model_patcher.py", line 857, in unpatch_model
    self.model.to(device_to)
    ~~~~~~~~~~~~~^^^^^^^^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 1371, in to
    return self._apply(convert)
           ~~~~~~~~~~~^^^^^^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 930, in _apply
    module._apply(fn)
    ~~~~~~~~~~~~~^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 930, in _apply
    module._apply(fn)
    ~~~~~~~~~~~~~^^^^
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 930, in _apply
    module._apply(fn)
    ~~~~~~~~~~~~~^^^^
  [Previous line repeated 2 more times]
  File "C:\ComfyUI\venv\Lib\site-packages\torch\nn\modules\module.py", line 983, in _apply
    raise RuntimeError(
        f"_apply(): Couldn't swap {self._get_name()}.{key}"
    ) from e
RuntimeError: _apply(): Couldn't swap Linear.weight

Prompt executed in 3.44 seconds