File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\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 "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\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 "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\execution.py", line 289, in _async_map_node_over_list
await process_inputs(input_dict, i)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\execution.py", line 277, in process_inputs
result = f(**inputs)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\custom_nodes\ComfyUI-WanMoeKSampler\nodes.py", line 116, in sample
return wan_ksampler(model_high_noise, model_low_noise, seed, steps, (cfg_high_noise, cfg_low_noise), sampler_name, scheduler, positive, negative, latent_image,boundary=boundary, denoise=denoise)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\custom_nodes\ComfyUI-WanMoeKSampler\nodes.py", line 62, in wan_ksampler
latent_image = comfy.sample.sample(model_low_noise, noise, steps, cfgs[1], sampler_name, scheduler, positive, negative, latent_image,
denoise=denoise, disable_noise=disable_noise, start_step=begin_step, last_step=last_step,
force_full_denoise=force_full_denoise, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\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 "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\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 "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\samplers.py", line 1051, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\samplers.py", line 1036, in sample
output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\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 "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\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 "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\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 "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\custom_nodes\RES4LYF\beta\__init__.py", line 167, in sample_res_2s
return rk_sampler_beta.sample_rk_beta(model, x, sigmas, None, extra_args, callback, disable, rk_type="res_2s",)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 120, in decorate_context
return func(*args, **kwargs)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\custom_nodes\RES4LYF\beta\rk_sampler_beta.py", line 1665, in sample_rk_beta
eps_[row], data_[row] = RK(x_tmp, s_tmp, x_0, sigma, transformer_options={'row': row, 'x_tmp': x_tmp, 'sigma_next': sigma_next})
~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\custom_nodes\RES4LYF\beta\rk_method_beta.py", line 901, in __call__
denoised = self.model_denoised(x.to(self.model_device), sub_sigma.to(self.model_device), **self.extra_args).to(sigma.device)
~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\custom_nodes\RES4LYF\beta\rk_method_beta.py", line 241, in model_denoised
denoised = self.model(x, sigma * s_in, **extra_args)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\samplers.py", line 408, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\samplers.py", line 960, in __call__
return self.outer_predict_noise(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\samplers.py", line 967, in outer_predict_noise
).execute(x, timestep, model_options, seed)
~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\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 "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\samplers.py", line 388, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\samplers.py", line 206, in calc_cond_batch
return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\samplers.py", line 214, in _calc_cond_batch_outer
return executor.execute(model, conds, x_in, timestep, model_options)
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\samplers.py", line 333, in _calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\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 "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\patcher_extension.py", line 113, in execute
return self.wrappers[self.idx](self, *args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy_api\torch_helpers\torch_compile.py", line 26, in apply_torch_compile_wrapper
return executor(*args, **kwargs)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\patcher_extension.py", line 105, in __call__
return new_executor.execute(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\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 "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1773, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1784, in _call_impl
return forward_call(*args, **kwargs)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\ldm\wan\model.py", line 613, 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 "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\patcher_extension.py", line 112, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\ldm\wan\model.py", line 633, in _forward
return self.forward_orig(x, timestep, context, clip_fea=clip_fea, freqs=freqs, transformer_options=transformer_options, **kwargs)[:, :, :t, :h, :w]
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\ldm\wan\model.py", line 761, in forward_orig
x = block(x, e=e0, freqs=freqs, context=context, context_img_len=context_img_len, transformer_options=transformer_options)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\_dynamo\eval_frame.py", line 375, in __call__
return super().__call__(*args, **kwargs)
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1773, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1784, in _call_impl
return forward_call(*args, **kwargs)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\_dynamo\eval_frame.py", line 736, in compile_wrapper
return fn(*args, **kwargs)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1773, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1784, in _call_impl
return forward_call(*args, **kwargs)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\ldm\wan\model.py", line 235, in forward
y = self.self_attn(
torch.addcmul(repeat_e(e[0], x), self.norm1(x), 1 + repeat_e(e[1], x)),
freqs, transformer_options=transformer_options)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1773, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1784, in _call_impl
return forward_call(*args, **kwargs)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\ComfyUI\comfy\ldm\wan\model.py", line 81, in forward
x = optimized_attention(
q.view(b, s, n * d),
...<3 lines>...
transformer_options=transformer_options,
)
File "H:\ComfyUI_Nunchaku-cu128torch2.8-cp313\python_embeded\Lib\site-packages\torch\_dynamo\eval_frame.py", line 929, in _fn
return fn(*args, **kwargs)
