Using this pre-built template, I am getting a VAE error (see below for full output)
RuntimeError: Given groups=1, weight of size [5120, 36, 1, 2, 2], expected input[1, 64, 21, 80, 80] to have 36 channels, but got 64 channels instead
- I've tried portable and windows versions of ComfyUI, with no change
- the 5B version works (Wan 2.2 5B Video Generation template)
- Windows 11/RTX4090 (not the D version)
- Tried with and without extensions
- Updated Visual Studio 2022, Cuda 13 etc.
- Tried with wan2.2_vae.safetensors and wan_2.1_vae.safetensors
- Workflow Template is included but it is from the built-in templates
System Info
ComfyUI: 0.3.50
ComfyUI_frontend: v1.24.4
OS: nt
Python Version: 3.13.6 (tags/v3.13.6:4e66535, Aug 6 2025, 14:36:00) [MSC v.1944 64 bit (AMD64)]
Embedded Python: true
Pytorch Version: 2.8.0+cu129
Arguments: ComfyUI\main.py
RAM Total: 31.11 GB
RAM Free: 21.6 GB
Devices
Name cuda:0 NVIDIA GeForce RTX 4090 : cudaMallocAsync
Type: cuda
VRAM Total: 23.99 GB
VRAM Free: 22.45 GB
Torch VRAM Total: 0 B
Torch VRAM Free: 0 B
Terminal Output:
got prompt
Requested to load WanTEModel
loaded completely 19986.588032531738 6419.477203369141 True
Using scaled fp8: fp8 matrix mult: True, scale input: True
model weight dtype torch.float16, manual cast: None
model_type FLOW
Requested to load WAN21
loaded completely 15268.594980926515 13629.075424194336 True
0%| | 0/2 [00:00<?, ?it/s]
!!! Exception during processing !!! Given groups=1, weight of size [5120, 36, 1, 2, 2], expected input[1, 64, 21, 80, 80] to have 36 channels, but got 64 channels instead
Traceback (most recent call last):
File "Y:\ComfyUI\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 "Y:\ComfyUI\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 "Y:\ComfyUI\ComfyUI\execution.py", line 289, in _async_map_node_over_list
await process_inputs(input_dict, i)
File "Y:\ComfyUI\ComfyUI\execution.py", line 277, in process_inputs
result = f(**inputs)
File "Y:\ComfyUI\ComfyUI\nodes.py", line 1555, 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 "Y:\ComfyUI\ComfyUI\nodes.py", line 1488, 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 "Y:\ComfyUI\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 "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 1150, 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 "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 1040, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 1025, in sample
output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "Y:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 111, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 993, in outer_sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 976, in inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "Y:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 111, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 755, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\utils_contextlib.py", line 120, in decorate_context
return func(*args, **kwargs)
File "Y:\ComfyUI\ComfyUI\comfy\k_diffusion\sampling.py", line 190, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 407, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 956, in call
return self.predict_noise(*args, **kwargs)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 959, 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 "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 387, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
return executor.execute(model, conds, x_in, timestep, model_options)
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 111, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 332, in calc_cond_batch
output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\model_base.py", line 155, 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 "Y:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 111, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\model_base.py", line 194, in _apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1773, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1784, in _call_impl
return forward_call(*args, **kwargs)
File "Y:\ComfyUI\ComfyUI\comfy\ldm\wan\model.py", line 599, in forward
return self.forward_orig(x, timestep, context, clip_fea=clip_fea, freqs=freqs, transformer_options=transformer_options, **kwargs)[:, :, :t, :h, :w]
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\ldm\wan\model.py", line 525, in forward_orig
x = self.patch_embedding(x.float()).to(x.dtype)
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1773, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1784, in _call_impl
return forward_call(*args, **kwargs)
File "Y:\ComfyUI\ComfyUI\comfy\ops.py", line 149, in forward
return self.forward_comfy_cast_weights(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\ops.py", line 145, in forward_comfy_cast_weights
return self._conv_forward(input, weight, bias)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 712, in _conv_forward
return F.conv3d(
~~~~~~~~^
input, weight, bias, self.stride, self.padding, self.dilation, self.groups
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
RuntimeError: Given groups=1, weight of size [5120, 36, 1, 2, 2], expected input[1, 64, 21, 80, 80] to have 36 channels, but got 64 channels instead
Prompt executed in 77.74 seconds
video_wan2_2_14B_t2v.json
Using this pre-built template, I am getting a VAE error (see below for full output)
RuntimeError: Given groups=1, weight of size [5120, 36, 1, 2, 2], expected input[1, 64, 21, 80, 80] to have 36 channels, but got 64 channels instead
System Info
ComfyUI: 0.3.50
ComfyUI_frontend: v1.24.4
OS: nt
Python Version: 3.13.6 (tags/v3.13.6:4e66535, Aug 6 2025, 14:36:00) [MSC v.1944 64 bit (AMD64)]
Embedded Python: true
Pytorch Version: 2.8.0+cu129
Arguments: ComfyUI\main.py
RAM Total: 31.11 GB
RAM Free: 21.6 GB
Devices
Name cuda:0 NVIDIA GeForce RTX 4090 : cudaMallocAsync
Type: cuda
VRAM Total: 23.99 GB
VRAM Free: 22.45 GB
Torch VRAM Total: 0 B
Torch VRAM Free: 0 B
Terminal Output:
got prompt
Requested to load WanTEModel
loaded completely 19986.588032531738 6419.477203369141 True
Using scaled fp8: fp8 matrix mult: True, scale input: True
model weight dtype torch.float16, manual cast: None
model_type FLOW
Requested to load WAN21
loaded completely 15268.594980926515 13629.075424194336 True
0%| | 0/2 [00:00<?, ?it/s]
!!! Exception during processing !!! Given groups=1, weight of size [5120, 36, 1, 2, 2], expected input[1, 64, 21, 80, 80] to have 36 channels, but got 64 channels instead
Traceback (most recent call last):
File "Y:\ComfyUI\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 "Y:\ComfyUI\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 "Y:\ComfyUI\ComfyUI\execution.py", line 289, in _async_map_node_over_list
await process_inputs(input_dict, i)
File "Y:\ComfyUI\ComfyUI\execution.py", line 277, in process_inputs
result = f(**inputs)
File "Y:\ComfyUI\ComfyUI\nodes.py", line 1555, 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 "Y:\ComfyUI\ComfyUI\nodes.py", line 1488, 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 "Y:\ComfyUI\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 "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 1150, 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 "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 1040, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 1025, in sample
output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "Y:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 111, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 993, in outer_sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 976, in inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "Y:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 111, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 755, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\utils_contextlib.py", line 120, in decorate_context
return func(*args, **kwargs)
File "Y:\ComfyUI\ComfyUI\comfy\k_diffusion\sampling.py", line 190, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 407, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 956, in call
return self.predict_noise(*args, **kwargs)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 959, 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 "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 387, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
return executor.execute(model, conds, x_in, timestep, model_options)
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 111, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\samplers.py", line 332, in calc_cond_batch
output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\model_base.py", line 155, 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 "Y:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 111, in execute
return self.original(*args, **kwargs)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\model_base.py", line 194, in _apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1773, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1784, in _call_impl
return forward_call(*args, **kwargs)
File "Y:\ComfyUI\ComfyUI\comfy\ldm\wan\model.py", line 599, in forward
return self.forward_orig(x, timestep, context, clip_fea=clip_fea, freqs=freqs, transformer_options=transformer_options, **kwargs)[:, :, :t, :h, :w]
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\ldm\wan\model.py", line 525, in forward_orig
x = self.patch_embedding(x.float()).to(x.dtype)
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1773, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1784, in _call_impl
return forward_call(*args, **kwargs)
File "Y:\ComfyUI\ComfyUI\comfy\ops.py", line 149, in forward
return self.forward_comfy_cast_weights(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\ComfyUI\comfy\ops.py", line 145, in forward_comfy_cast_weights
return self._conv_forward(input, weight, bias)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^
File "Y:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 712, in _conv_forward
return F.conv3d(
~~~~~~~~^
input, weight, bias, self.stride, self.padding, self.dilation, self.groups
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
RuntimeError: Given groups=1, weight of size [5120, 36, 1, 2, 2], expected input[1, 64, 21, 80, 80] to have 36 channels, but got 64 channels instead
Prompt executed in 77.74 seconds
video_wan2_2_14B_t2v.json