KSamplerAdvanced 'NoneType' object has no attribute 'store_cubin'

Open

#10,328 opened on Oct 13, 2025 0 comments 0 reactions 0 assignees View on GitHub

Potential Bug

Dominant language: Python
Stars: 133k
Forks: 15.7k
Avg merge: 1d 10h
Merged PRs (30d): 153

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

work without error

### Actual Behavior

node dont work

### Steps to Reproduce

any idea what may cause it and how to fix!?

### Debug Logs

```powershell
# ComfyUI Error Report
## Error Details
- **Node ID:** 17
- **Node Type:** KSamplerAdvanced
- **Exception Type:** AttributeError
- **Exception Message:** 'NoneType' object has no attribute 'store_cubin'

## Stack Trace

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\execution.py", line 496, 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:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\execution.py", line 315, 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:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\execution.py", line 289, in _async_map_node_over_list
await process_inputs(input_dict, i)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\execution.py", line 277, in process_inputs
result = f(**inputs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\nodes.py", line 1559, in sample
return common_ksampler(model, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\nodes.py", line 1492, 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:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\custom_nodes\comfyui-impact-pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\sample.py", line 45, 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:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\custom_nodes\comfyui_smznodes\smZNodes.py", line 131, in KSampler_sample
return orig_fn(*args, **kwargs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 1161, 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:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\custom_nodes\comfyui_smznodes\smZNodes.py", line 149, in sample
return orig_fn(*args, **kwargs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 1051, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 1036, in sample
output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 1004, in outer_sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 987, in inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\custom_nodes\comfyui_smznodes\smZNodes.py", line 114, in KSAMPLER_sample
return orig_fn(*args, **kwargs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 759, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\k_diffusion\sampling.py", line 199, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 408, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 960, in __call__
return self.outer_predict_noise(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 967, in outer_predict_noise
).execute(x, timestep, model_options, seed)
~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 970, in predict_noise
return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\custom_nodes\comfyui_smznodes\smZNodes.py", line 189, in sampling_function
out = orig_fn(*args, **kwargs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 388, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 206, in calc_cond_batch
return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 214, in _calc_cond_batch_outer
return executor.execute(model, conds, x_in, timestep, model_options)
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\samplers.py", line 333, in _calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\model_base.py", line 160, in apply_model
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
...<2 lines>...
comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.APPLY_MODEL, transformer_options)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
).execute(x, t, c_concat, c_crossattn, control, transformer_options, **kwargs)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\model_base.py", line 199, in _apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 614, in forward
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
...<2 lines>...
comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
).execute(x, timestep, context, clip_fea, time_dim_concat, transformer_options, **kwargs)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 634, in _forward
return self.forward_orig(x, timestep, context, clip_fea=clip_fea, freqs=freqs, transformer_options=transformer_options, **kwargs)[:, :, :t, :h, :w]
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 579, in forward_orig
x = block(x, e=e0, freqs=freqs, context=context, context_img_len=context_img_len, transformer_options=transformer_options)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_dynamo\eval_frame.py", line 658, in _fn
return fn(*args, **kwargs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 235, in forward
y = self.self_attn(

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 243, in torch_dynamo_resume_in_forward_at_235
x = x + self.cross_attn(self.norm3(x), context, context_img_len=context_img_len, transformer_options=transformer_options)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 95, in forward
def forward(self, x, context, transformer_options={}, **kwargs):

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_dynamo\eval_frame.py", line 849, in _fn
return fn(*args, **kwargs)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_functorch\aot_autograd.py", line 1207, in forward
return compiled_fn(full_args)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 330, in runtime_wrapper
all_outs = call_func_at_runtime_with_args(
compiled_fn, args, disable_amp=disable_amp, steal_args=True
)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_functorch\_aot_autograd\utils.py", line 126, in call_func_at_runtime_with_args
out = normalize_as_list(f(args))
~^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 691, in inner_fn
outs = compiled_fn(args)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 497, in wrapper
return compiled_fn(runtime_args)

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_inductor\output_code.py", line 558, in __call__
return self.current_callable(inputs)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_inductor\utils.py", line 2441, in run
return model(new_inputs)

File "C:\Users\smere\AppData\Local\Temp\latentsync_a6e9ea27\torchinductor_smere\ha\chaisb2zzincqjxt7nsiiqhz3bxs4rkzqjde4iaonz6vfacess2r.py", line 293, in call
triton_poi_fused_copy_0.run(buf4, 26214400, stream=stream0)
~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_inductor\runtime\triton_heuristics.py", line 1008, in run
if launcher.store_cubin and (not benchmark_run or not self.cuda_kernel_saved):
^^^^^^^^^^^^^^^^^^^^

## System Information
- **ComfyUI Version:** 0.3.64
- **Arguments:** ComfyUI\main.py --windows-standalone-build --listen 192.168.1.16
- **OS:** nt
- **Python Version:** 3.13.2 (tags/v3.13.2:4f8bb39, Feb 4 2025, 15:23:48) [MSC v.1942 64 bit (AMD64)]
- **Embedded Python:** true
- **PyTorch Version:** 2.8.0.dev20250401+cu128
## Devices

- **Name:** cuda:0 NVIDIA GeForce RTX 5090 : cudaMallocAsync
- **Type:** cuda
- **VRAM Total:** 34190458880
- **VRAM Free:** 32154964480
- **Torch VRAM Total:** 201326592
- **Torch VRAM Free:** 130404864

## Logs

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2025-10-13T17:26:09.729134 - Requested to load WAN21
2025-10-13T17:26:16.946148 - loaded partially 14570.890037588812 14560.488403320312 2
2025-10-13T17:26:16.952703 - Patching comfy attention to use sageattn2025-10-13T17:26:16.952874 -
2025-10-13T17:26:17.000661 -
0%| | 0/5 [00:00...
comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.APPLY_MODEL, transformer_options)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
).execute(x, t, c_concat, c_crossattn, control, transformer_options, **kwargs)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\model_base.py", line 199, in _apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 614, in forward
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
...<2 lines>...
comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.DIFFUSION_MODEL, transformer_options)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
).execute(x, timestep, context, clip_fea, time_dim_concat, transformer_options, **kwargs)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 634, in _forward
return self.forward_orig(x, timestep, context, clip_fea=clip_fea, freqs=freqs, transformer_options=transformer_options, **kwargs)[:, :, :t, :h, :w]
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 579, in forward_orig
x = block(x, e=e0, freqs=freqs, context=context, context_img_len=context_img_len, transformer_options=transformer_options)
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_dynamo\eval_frame.py", line 658, in _fn
return fn(*args, **kwargs)
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 235, in forward
y = self.self_attn(
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 243, in torch_dynamo_resume_in_forward_at_235
x = x + self.cross_attn(self.norm3(x), context, context_img_len=context_img_len, transformer_options=transformer_options)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\ComfyUI\comfy\ldm\wan\model.py", line 95, in forward
def forward(self, x, context, transformer_options={}, **kwargs):
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_dynamo\eval_frame.py", line 849, in _fn
return fn(*args, **kwargs)
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_functorch\aot_autograd.py", line 1207, in forward
return compiled_fn(full_args)
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 330, in runtime_wrapper
all_outs = call_func_at_runtime_with_args(
compiled_fn, args, disable_amp=disable_amp, steal_args=True
)
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_functorch\_aot_autograd\utils.py", line 126, in call_func_at_runtime_with_args
out = normalize_as_list(f(args))
~^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 691, in inner_fn
outs = compiled_fn(args)
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_functorch\_aot_autograd\runtime_wrappers.py", line 497, in wrapper
return compiled_fn(runtime_args)
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_inductor\output_code.py", line 558, in __call__
return self.current_callable(inputs)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_inductor\utils.py", line 2441, in run
return model(new_inputs)
File "C:\Users\smere\AppData\Local\Temp\latentsync_a6e9ea27\torchinductor_smere\ha\chaisb2zzincqjxt7nsiiqhz3bxs4rkzqjde4iaonz6vfacess2r.py", line 293, in call
triton_poi_fused_copy_0.run(buf4, 26214400, stream=stream0)
~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\AI\ComfyUI_windows_portable_nightly_pytorch\python_embeded\Lib\site-packages\torch\_inductor\runtime\triton_heuristics.py", line 1008, in run
if launcher.store_cubin and (not benchmark_run or not self.cuda_kernel_saved):
^^^^^^^^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'store_cubin'

2025-10-13T17:26:44.999015 - Prompt executed in 61.12 seconds

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## Additional Context
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KSamplerAdvanced 'NoneType' object has no attribute 'store_cubin'

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