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[工具] [自行打包] comfyui去衣工作流含需要的模型lora [1本+25G][百度盘]

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本帖最后由 q784816293 于 2026-5-8 19:18 编辑

会用的直接下载，不会用的要稍微学一下新手教程，不包含COMFYUI本体，只有工作流和需要的模型和lora。comfyui本体需要自行下载或者可以到我搬运的帖子上面下载。




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发表于 2026-5-12 16:39:57 | 只看该作者
K采样器报错怎么弄？
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead



# ComfyUI Error Report
## Error Details
- **Node ID:** 288
- **Node Type:** KSampler
- **Exception Type:** RuntimeError
- **Exception Message:** RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead

## Stack Trace
```
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1290, in sample_euler_cfg_pp
    return sample_euler_ancestral_cfg_pp(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=0.0, s_noise=0.0, noise_sampler=None)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1265, in sample_euler_ancestral_cfg_pp
    denoised = model(x, sigmas[i] * s_in, **extra_args)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)

  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^

```
## System Information
- **ComfyUI Version:** 0.21.0
- **Arguments:** H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\main.py --windows-standalone-build --cpu --listen 0.0.0.0 --enable-cors-header * --auto-launch
- **OS:** win32
- **Python Version:** 3.13.11 (tags/v3.13.11:6278944, Dec  5 2025, 16:26:58) [MSC v.1944 64 bit (AMD64)]
- **Embedded Python:** true
- **PyTorch Version:** 2.10.0+cu130
## Devices

- **Name:** cpu
  - **Type:** cpu
  - **VRAM Total:** 34262593536
  - **VRAM Free:** 18333036544
  - **Torch VRAM Total:** 34262593536
  - **Torch VRAM Free:** 18333036544

## Logs
```
2026-05-12T16:30:33.631992 -
2026-05-12T16:30:33.632415 - #238 [KSampler]: 0.07s - vram 0b2026-05-12T16:30:33.633899 -
2026-05-12T16:30:33.635229 - Prompt executed in 0.08 seconds
2026-05-12T16:30:36.439414 - got prompt
2026-05-12T16:30:36.557122 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:30:36.557359 -
2026-05-12T16:30:36.565913 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:30:36.573327 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 801, in sample_dpmpp_2m
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:30:36.582669 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:30:36.582793 -
2026-05-12T16:30:36.583520 - #238 [KSampler]: 0.10s - vram 0b2026-05-12T16:30:36.583692 -
2026-05-12T16:30:36.584992 - Prompt executed in 0.11 seconds
2026-05-12T16:30:40.372297 - got prompt
2026-05-12T16:30:40.481483 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:30:40.481693 -
2026-05-12T16:30:40.490979 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:30:40.498582 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 801, in sample_dpmpp_2m
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:30:40.512987 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:30:40.513147 -
2026-05-12T16:30:40.513331 - #238 [KSampler]: 0.09s - vram 0b2026-05-12T16:30:40.513663 -
2026-05-12T16:30:40.515738 - Prompt executed in 0.10 seconds
2026-05-12T16:30:48.195233 - got prompt
2026-05-12T16:30:48.283903 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:30:48.284071 -
2026-05-12T16:30:48.291411 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:30:48.299096 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 801, in sample_dpmpp_2m
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:30:48.316488 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:30:48.319211 -
2026-05-12T16:30:48.319492 - #238 [KSampler]: 0.07s - vram 0b2026-05-12T16:30:48.319954 -
2026-05-12T16:30:48.321351 - Prompt executed in 0.09 seconds
2026-05-12T16:30:52.675679 - got prompt
2026-05-12T16:30:52.766713 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:30:52.766938 -
2026-05-12T16:30:52.776190 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:30:52.784179 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 801, in sample_dpmpp_2m
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:30:52.793061 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:30:52.795074 -
2026-05-12T16:30:52.795298 - #238 [KSampler]: 0.07s - vram 0b2026-05-12T16:30:52.795655 -
2026-05-12T16:30:52.797121 - Prompt executed in 0.08 seconds
2026-05-12T16:30:56.595676 - got prompt
2026-05-12T16:30:56.702430 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:30:56.702617 -
2026-05-12T16:30:56.712244 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:30:56.719161 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1354, in sample_dpmpp_2m_cfg_pp
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:30:56.728072 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:30:56.728212 -
2026-05-12T16:30:56.728676 - #238 [KSampler]: 0.09s - vram 0b2026-05-12T16:30:56.728848 -
2026-05-12T16:30:56.730708 - Prompt executed in 0.10 seconds
2026-05-12T16:30:58.571238 - got prompt
2026-05-12T16:30:58.693148 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:30:58.693345 -
2026-05-12T16:30:58.701720 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:30:58.709555 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 840, in sample_dpmpp_2m_sde
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:30:58.717035 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:30:58.717183 -
2026-05-12T16:30:58.717793 - #238 [KSampler]: 0.10s - vram 0b2026-05-12T16:30:58.717930 -
2026-05-12T16:30:58.718902 - Prompt executed in 0.11 seconds
2026-05-12T16:31:01.179026 - got prompt
2026-05-12T16:31:01.297899 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:01.298123 -
2026-05-12T16:31:01.305503 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:01.312951 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 965, in sample_dpmpp_2m_sde_gpu
    return sample_dpmpp_2m_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, solver_type=solver_type)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 840, in sample_dpmpp_2m_sde
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:01.321334 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:01.321452 -
2026-05-12T16:31:01.321989 - #238 [KSampler]: 0.10s - vram 0b2026-05-12T16:31:01.323873 -
2026-05-12T16:31:01.324820 - Prompt executed in 0.11 seconds
2026-05-12T16:31:03.876407 - got prompt
2026-05-12T16:31:03.995231 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:03.995442 -
2026-05-12T16:31:04.003744 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:04.012130 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 873, in sample_dpmpp_2m_sde_heun
    return sample_dpmpp_2m_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, solver_type=solver_type)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 840, in sample_dpmpp_2m_sde
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:04.021833 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:04.022100 -
2026-05-12T16:31:04.024385 - #238 [KSampler]: 0.09s - vram 0b2026-05-12T16:31:04.024608 -
2026-05-12T16:31:04.026071 - Prompt executed in 0.11 seconds
2026-05-12T16:31:06.066569 - got prompt
2026-05-12T16:31:06.189927 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:06.190176 -
2026-05-12T16:31:06.197834 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:06.205509 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 955, in sample_dpmpp_2m_sde_heun_gpu
    return sample_dpmpp_2m_sde_heun(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, solver_type=solver_type)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 873, in sample_dpmpp_2m_sde_heun
    return sample_dpmpp_2m_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, solver_type=solver_type)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 840, in sample_dpmpp_2m_sde
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:06.215392 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:06.216267 -
2026-05-12T16:31:06.216819 - #238 [KSampler]: 0.10s - vram 0b2026-05-12T16:31:06.216979 -
2026-05-12T16:31:06.218087 - Prompt executed in 0.11 seconds
2026-05-12T16:31:08.019827 - got prompt
2026-05-12T16:31:08.138038 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:08.138332 -
2026-05-12T16:31:08.150884 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:08.156819 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 897, in sample_dpmpp_3m_sde
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:08.163831 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:08.163998 -
2026-05-12T16:31:08.164291 - #238 [KSampler]: 0.10s - vram 0b2026-05-12T16:31:08.164961 -
2026-05-12T16:31:08.166214 - Prompt executed in 0.11 seconds
2026-05-12T16:31:11.428184 - got prompt
2026-05-12T16:31:11.551445 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:11.551653 -
2026-05-12T16:31:11.566483 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:11.573944 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 945, in sample_dpmpp_3m_sde_gpu
    return sample_dpmpp_3m_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 897, in sample_dpmpp_3m_sde
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:11.582036 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:11.582169 -
2026-05-12T16:31:11.582376 - #238 [KSampler]: 0.11s - vram 0b2026-05-12T16:31:11.582737 -
2026-05-12T16:31:11.583762 - Prompt executed in 0.12 seconds
2026-05-12T16:31:19.147984 - got prompt
2026-05-12T16:31:19.237326 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:19.237545 -
2026-05-12T16:31:19.246834 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:19.254910 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1006, in sample_ddpm
    return generic_step_sampler(model, x, sigmas, extra_args, callback, disable, noise_sampler, DDPMSampler_step)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 995, in generic_step_sampler
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:19.265912 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:19.266085 -
2026-05-12T16:31:19.266585 - #238 [KSampler]: 0.07s - vram 0b2026-05-12T16:31:19.266917 -
2026-05-12T16:31:19.268385 - Prompt executed in 0.08 seconds
2026-05-12T16:31:21.080869 - got prompt
2026-05-12T16:31:21.180966 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:21.181145 -
2026-05-12T16:31:21.191159 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:21.198321 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1015, in sample_lcm
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:21.208030 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:21.208192 -
2026-05-12T16:31:21.208480 - #238 [KSampler]: 0.07s - vram 0b2026-05-12T16:31:21.210033 -
2026-05-12T16:31:21.211213 - Prompt executed in 0.08 seconds
2026-05-12T16:31:23.131691 - got prompt
2026-05-12T16:31:23.223249 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:23.223423 -
2026-05-12T16:31:23.234890 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:23.241865 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1098, in sample_ipndm
    denoised = model(x_cur, t_cur * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:23.250409 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:23.250602 -
2026-05-12T16:31:23.251077 - #238 [KSampler]: 0.07s - vram 0b2026-05-12T16:31:23.251821 -
2026-05-12T16:31:23.253254 - Prompt executed in 0.08 seconds
2026-05-12T16:31:25.082860 - got prompt
2026-05-12T16:31:25.178237 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:25.178416 -
2026-05-12T16:31:25.188184 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:25.195089 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1142, in sample_ipndm_v
    denoised = model(x_cur, t_cur * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:25.205451 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:25.205598 -
2026-05-12T16:31:25.205898 - #238 [KSampler]: 0.08s - vram 0b2026-05-12T16:31:25.206306 -
2026-05-12T16:31:25.207452 - Prompt executed in 0.09 seconds
2026-05-12T16:31:27.251902 - got prompt
2026-05-12T16:31:27.565602 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:27.565792 -
2026-05-12T16:31:27.573581 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:27.579513 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1211, in sample_deis
    denoised = model(x_cur, t_cur * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:27.586667 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:27.586746 -
2026-05-12T16:31:27.586971 - #238 [KSampler]: 0.29s - vram 0b2026-05-12T16:31:27.587309 -
2026-05-12T16:31:27.588521 - Prompt executed in 0.30 seconds
2026-05-12T16:31:30.436161 - got prompt
2026-05-12T16:31:30.527189 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:30.527395 -
2026-05-12T16:31:30.534581 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:30.543096 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1435, in sample_res_multistep
    return res_multistep(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, s_noise=s_noise, noise_sampler=noise_sampler, eta=0., cfg_pp=False)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1393, in res_multistep
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:30.553957 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:30.554187 -
2026-05-12T16:31:30.554604 - #238 [KSampler]: 0.07s - vram 0b2026-05-12T16:31:30.554774 -
2026-05-12T16:31:30.555982 - Prompt executed in 0.08 seconds
2026-05-12T16:31:33.092652 - got prompt
2026-05-12T16:31:33.184085 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:33.184290 -
2026-05-12T16:31:33.195367 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:33.204993 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1439, in sample_res_multistep_cfg_pp
    return res_multistep(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, s_noise=s_noise, noise_sampler=noise_sampler, eta=0., cfg_pp=True)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1393, in res_multistep
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:33.215125 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:33.215283 -
2026-05-12T16:31:33.215565 - #238 [KSampler]: 0.08s - vram 0b2026-05-12T16:31:33.215809 -
2026-05-12T16:31:33.216880 - Prompt executed in 0.09 seconds
2026-05-12T16:31:35.940102 - got prompt
2026-05-12T16:31:36.035688 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:36.035893 -
2026-05-12T16:31:36.049751 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:36.056241 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1443, in sample_res_multistep_ancestral
    return res_multistep(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, s_noise=s_noise, noise_sampler=noise_sampler, eta=eta, cfg_pp=False)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1393, in res_multistep
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:36.065913 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:36.066080 -
2026-05-12T16:31:36.066377 - #238 [KSampler]: 0.08s - vram 0b2026-05-12T16:31:36.066708 -
2026-05-12T16:31:36.067866 - Prompt executed in 0.09 seconds
2026-05-12T16:31:38.291381 - got prompt
2026-05-12T16:31:38.386812 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:38.387002 -
2026-05-12T16:31:38.397985 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:38.407232 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1447, in sample_res_multistep_ancestral_cfg_pp
    return res_multistep(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, s_noise=s_noise, noise_sampler=noise_sampler, eta=eta, cfg_pp=True)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1393, in res_multistep
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:38.415756 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:38.415881 -
2026-05-12T16:31:38.416238 - #238 [KSampler]: 0.08s - vram 0b2026-05-12T16:31:38.416449 -
2026-05-12T16:31:38.417768 - Prompt executed in 0.09 seconds
2026-05-12T16:31:40.763233 - got prompt
2026-05-12T16:31:40.855019 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:40.855239 -
2026-05-12T16:31:40.864108 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:40.872076 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1468, in sample_gradient_estimation
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:40.882350 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:40.882499 -
2026-05-12T16:31:40.882927 - #238 [KSampler]: 0.08s - vram 0b2026-05-12T16:31:40.883097 -
2026-05-12T16:31:40.884266 - Prompt executed in 0.09 seconds
2026-05-12T16:31:43.539348 - got prompt
2026-05-12T16:31:43.630868 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:43.631074 -
2026-05-12T16:31:43.638612 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:43.645552 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1496, in sample_gradient_estimation_cfg_pp
    return sample_gradient_estimation(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, ge_gamma=ge_gamma, cfg_pp=True)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1468, in sample_gradient_estimation
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:43.653859 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:43.654184 -
2026-05-12T16:31:43.654464 - #238 [KSampler]: 0.07s - vram 0b2026-05-12T16:31:43.656236 -
2026-05-12T16:31:43.657857 - Prompt executed in 0.08 seconds
2026-05-12T16:31:46.363673 - got prompt
2026-05-12T16:31:46.452533 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:31:46.452696 -
2026-05-12T16:31:46.460844 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:31:46.468705 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1525, in sample_er_sde
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[1, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:31:46.484420 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:31:46.485057 -
2026-05-12T16:31:46.485318 - #238 [KSampler]: 0.08s - vram 0b2026-05-12T16:31:46.485417 -
2026-05-12T16:31:46.486468 - Prompt executed in 0.09 seconds
2026-05-12T16:32:13.715536 - got prompt
2026-05-12T16:33:33.967145 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:33:33.967365 -
2026-05-12T16:33:33.967623 - #223 [VAEDecode]: 80.21s - vram 0b2026-05-12T16:33:33.967743 -
2026-05-12T16:33:34.262925 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:33:34.263116 -
2026-05-12T16:33:34.263311 - #274 [PreviewImage]: 0.29s - vram 0b2026-05-12T16:33:34.263471 -
2026-05-12T16:34:44.765905 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:34:44.766114 -
2026-05-12T16:34:44.766429 - #236 [LatentRefiner]: 70.50s - vram 0b2026-05-12T16:34:44.766533 -
2026-05-12T16:34:44.767055 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:34:44.767220 -
2026-05-12T16:34:44.767459 - #218 [Flux2KleinOutputExtractor_EditUtils]: 0.00s - vram 0b2026-05-12T16:34:44.767605 -
2026-05-12T16:34:44.768306 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:34:44.768563 -
2026-05-12T16:34:44.768749 - #271 [CropWithPadInfo_EditUtils]: 0.00s - vram 0b2026-05-12T16:34:44.768851 -
2026-05-12T16:34:45.186290 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:34:45.186476 -
2026-05-12T16:34:45.186687 - #240 [Image Comparer (rgthree)]: 0.42s - vram 0b2026-05-12T16:34:45.186837 -
2026-05-12T16:34:45.187947 - Prompt executed in 151.43 seconds
2026-05-12T16:36:50.340140 - got prompt
2026-05-12T16:36:50.441109 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:36:50.441331 -
2026-05-12T16:36:50.451104 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:36:50.460063 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 205, in sample_euler
    denoised = model(x, sigma_hat * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:36:50.471351 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:36:50.471501 -
2026-05-12T16:36:50.471806 - #288 [KSampler]: 0.08s - vram 0b2026-05-12T16:36:50.472102 -
2026-05-12T16:36:50.474136 - Prompt executed in 0.09 seconds
2026-05-12T16:37:45.217581 - got prompt
2026-05-12T16:37:45.318659 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:37:45.318855 -
2026-05-12T16:37:45.327393 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:37:45.334478 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1630, in sample_exp_heun_2_x0
    return sample_seeds_2(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=0.0, s_noise=0.0, noise_sampler=None, r=1.0, solver_type=solver_type)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1587, in sample_seeds_2
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:37:45.346607 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:37:45.346829 -
2026-05-12T16:37:45.347032 - #288 [KSampler]: 0.08s - vram 0b2026-05-12T16:37:45.347542 -
2026-05-12T16:37:45.349082 - Prompt executed in 0.09 seconds
2026-05-12T16:38:14.093604 - got prompt
2026-05-12T16:38:14.190484 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:38:14.190641 -
2026-05-12T16:38:14.197996 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:38:14.205762 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1290, in sample_euler_cfg_pp
    return sample_euler_ancestral_cfg_pp(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=0.0, s_noise=0.0, noise_sampler=None)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1265, in sample_euler_ancestral_cfg_pp
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:38:14.213083 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:38:14.213247 -
2026-05-12T16:38:14.213535 - #288 [KSampler]: 0.07s - vram 0b2026-05-12T16:38:14.213916 -
2026-05-12T16:38:14.215084 - Prompt executed in 0.08 seconds
2026-05-12T16:38:33.806371 - got prompt
2026-05-12T16:38:33.902332 -
  0%|                                                                                            | 0/4 [00:00<?, ?it/s]2026-05-12T16:38:33.902575 -
2026-05-12T16:38:33.911632 - !!! Exception during processing !!! Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead
2026-05-12T16:38:33.918416 - Traceback (most recent call last):
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 535, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 335, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 309, in _async_map_node_over_list
    await process_inputs(input_dict, i)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\execution.py", line 297, in process_inputs
    result = f(**inputs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1572, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\nodes.py", line 1537, 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 "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\sample.py", line 66, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1070, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 1052, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 995, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 981, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 751, 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_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1290, in sample_euler_cfg_pp
    return sample_euler_ancestral_cfg_pp(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=0.0, s_noise=0.0, noise_sampler=None)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\k_diffusion\sampling.py", line 1265, in sample_euler_ancestral_cfg_pp
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 400, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 954, in __call__
    return self.outer_predict_noise(*args, **kwargs)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 961, in outer_predict_noise
    ).execute(x, timestep, model_options, seed)
      ~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 964, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 380, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch
    return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer
    return executor.execute(model, conds, x_in, timestep, model_options)
           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
             ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 180, 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_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\model_base.py", line 224, in _apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 838, 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, timesteps, context, y, control, transformer_options, **kwargs)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\patcher_extension.py", line 112, in execute
    return self.original(*args, **kwargs)
           ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 880, in _forward
    h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 62, in forward_timestep_embed
    x = layer(x)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
    return forward_call(*args, **kwargs)
  File "H:\ComfyUI_Mie_2026_V8.0_Base\ComfyUI\comfy\ops.py", line 518, in forward
    return super().forward(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 553, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "H:\ComfyUI_Mie_2026_V8.0_Base\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 548, in _conv_forward
    return F.conv2d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 256, 120, 80] to have 8 channels, but got 256 channels instead

2026-05-12T16:38:33.927898 - end_vram - start_vram: 0 - 0 = 02026-05-12T16:38:33.928076 -
2026-05-12T16:38:33.928565 - #288 [KSampler]: 0.07s - vram 0b2026-05-12T16:38:33.928751 -
2026-05-12T16:38:33.930447 - Prompt executed in 0.08 seconds

```
## Attached Workflow
Please make sure that workflow does not contain any sensitive information such as API keys or passwords.
```
Workflow too large. Please manually upload the workflow from local file system.
```

## Additional Context
(Please add any additional context or steps to reproduce the error here)
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q784816293
推荐
 楼主| 发表于 2026-5-8 18:18:41 | 只看该作者
91shui666 发表于 2026-5-8 14:30
你的模型路径都是错的，而且你上传的不全，根本就是浪费时间的包，自己不检测一遍就来发。 ...

确实没检查好，放错一个模型，但是有话就说话，我是当兴趣分享，卖这点币都顶不上签一次到送的，包里错了就说包里错了，我再重新上传就行，别搞得我诈骗你一样，上来就引流举报，不知道的还以为我拿你2枚币换了什么真金白银一样。如果可以，我情愿用200枚币换这帖子没遇到你
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1Anny3
推荐
发表于 3 天前 | 只看该作者
2295270187 发表于 2026-7-20 00:59
我找到了，就这huggingface上的那个krea 2  identity edit项目就可以实现krea2编辑图片，效果比flux好不 ...

@2295270187
             感谢大佬
       对拉伸和保留细节有改善
原图/原楼主@q784816293lora/@2295270187 推荐lora
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dongdong666
推荐
发表于 2026-9-5 20:28:40 | 只看该作者
sldx555 发表于 2026-5-12 16:39
K采样器报错怎么弄？
RuntimeError: Given groups=1, weight of size [320, 8, 3, 3], expected input[2, 2 ...

神经啊你 你去问AI啊， 发个评论都要爬楼半天
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skyler-g
推荐
发表于 2026-5-30 10:51:58 | 只看该作者
q784816293 发表于 2026-5-29 22:08
禁用那2个是留给你放自己的lora的，更方便的diy，不需要重新连接lora节点了
...

好的好的，大佬
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91shui666
推荐
发表于 2026-5-9 12:47:20 | 只看该作者
链接：https://pan.quark.cn/s/b9667d543a8e
提取码：Th4E python脚本 一键提取，自己写的。
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pilixiaozi
推荐
发表于 2026-5-9 03:27:12 | 只看该作者
我已经解决了，工作流有楼主的详细网盘地址，直接下载覆盖就行了
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834896725
推荐
发表于 2026-5-9 00:26:59 手机版 | 只看该作者
q784816293 发表于 2026-5-8 19:20
没有，这波是我的问题，有一个模型我打包错了，现在重新补链接了，要审核
...

已实测能正常出图，不过我显卡一般出图比较慢，哈哈，大佬nb
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91shui666
推荐
发表于 2026-5-8 15:54:37 | 只看该作者
我发了一个新帖可能正在审核，晚点就可以看到了，方便大家分享模型和工作流，一个python 脚本运行10s 即可，感谢你在论坛分享的workflow
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91shui666
推荐
发表于 2026-5-8 14:30:56 | 只看该作者
你的模型路径都是错的，而且你上传的不全，根本就是浪费时间的包，自己不检测一遍就来发。
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91shui666
12#
发表于 2026-5-6 05:47:40 | 只看该作者
浪费时间的帖子，模型不全，节点各种自定义。补全后效果还没自己搭的好用，疑似id引流，已举报
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q784816293
13#
 楼主| 发表于 2026-5-6 16:53:56 | 只看该作者
91shui666 发表于 2026-5-6 05:47
浪费时间的帖子，模型不全，节点各种自定义。补全后效果还没自己搭的好用，疑似id引流，已举报 ...

我包里哪个模型不全？截图出来啊，工作流有2个lora是绕过的，根据选择自己添加，绕过也正常运行的，插件就要你自己补，你不会连插件都补不了吧？
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q784816293
14#
 楼主| 发表于 2026-5-6 17:03:57 | 只看该作者
这里补一句啊，包里要用的模型都在，直接照着工作流就能跑，插件问题需要自己补插件，因为工作流的插件你未必已经安装，这是免不了的，实在新手的，有问题的搞不过去的，上截图我来告诉你怎么弄，不会玩但是想玩却没有耐心的，不要浪费自己的币。免得浪费币了又来发小作文
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pilixiaozi
15#
发表于 2026-5-7 10:20:21 | 只看该作者
K 采集器有问题
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q784816293
16#
 楼主| 发表于 2026-5-7 13:27:16 | 只看该作者
pilixiaozi 发表于 2026-5-7 10:20
K 采集器有问题

什么原因兄弟，报错什么，或者截个图我看看
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834896725
17#
发表于 2026-5-8 00:20:31 手机版 | 只看该作者
请问大佬这三个模型该怎么解决

IMG_20260508_001930.jpg (286.38 KB, 下载次数: 23)

IMG_20260508_001930.jpg
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834896725
18#
发表于 2026-5-8 01:25:59 手机版 | 只看该作者
834896725 发表于 2026-5-8 00:20
请问大佬这三个模型该怎么解决

解决了，但是我也是采样器出问题，怎么解决呢大佬

IMG_20260508_012525.jpg (346.48 KB, 下载次数: 11)

IMG_20260508_012525.jpg
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q784816293
19#
 楼主| 发表于 2026-5-8 13:34:38 | 只看该作者
834896725 发表于 2026-5-8 01:25
解决了，但是我也是采样器出问题，怎么解决呢大佬

你模型没放错吧
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91shui666
20#
发表于 2026-5-8 14:32:34 | 只看该作者
如果说到手都要自己重新配路径，重新下没有的模型，这种工作流在civitai 上多的是。
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834896725
21#
发表于 2026-5-8 14:46:35 手机版 | 只看该作者
q784816293 发表于 2026-5-8 13:34
你模型没放错吧

包里面解压出来就只有这几个，大佬是不是没上传全？

Image_1778222751831_872.png (133.47 KB, 下载次数: 12)

Image_1778222751831_872.png
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q784816293
22#
 楼主| 发表于 2026-5-8 18:05:53 | 只看该作者
834896725 发表于 2026-5-8 14:46
包里面解压出来就只有这几个，大佬是不是没上传全？

是我包没打好？我现在整理一遍，审核完了你再下载就行了，不好意思哦兄弟
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834896725
23#
发表于 2026-5-8 18:25:16 手机版 | 只看该作者
q784816293 发表于 2026-5-8 18:05
是我包没打好？我现在整理一遍，审核完了你再下载就行了，不好意思哦兄弟
...

ok啊，我是新手，有很多地方不懂，麻烦了
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q784816293
24#
 楼主| 发表于 2026-5-8 19:20:53 | 只看该作者
834896725 发表于 2026-5-8 18:25
ok啊，我是新手，有很多地方不懂，麻烦了

没有，这波是我的问题，有一个模型我打包错了，现在重新补链接了，要审核
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