k采样器

### Expected Behavior

KSampler
Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 90, 62] to have 4 channels, but got 16 channels instead

### Actual Behavior

KSampler
Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 90, 62] to have 4 channels, but got 16 channels instead

### Steps to Reproduce


### Debug Logs

```powershell
# ComfyUI Error Report
## Error Details
- **Node Type:** KSampler
- **Exception Type:** RuntimeError
- **Exception Message:** Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 90, 62] to have 4 channels, but got 16 channels instead
## Stack Trace

File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 323, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 198, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)

File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/nodes.py", line 1430, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/nodes.py", line 1397, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 22, in informative_sample
raise e

File "/home/featurize/work/app/comfyui/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/sample.py", line 43, 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 "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 829, 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 "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 729, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 716, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 695, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 600, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/k_diffusion/sampling.py", line 144, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 299, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 682, in __call__
return self.predict_noise(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 685, 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 "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 279, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 228, in calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/model_base.py", line 142, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 857, 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 "/home/featurize/work/app/comfyui/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 50, in forward_timestep_embed
x = layer(x)
^^^^^^^^

File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/ComfyUI/comfy/ops.py", line 106, in forward
return super().forward(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 554, in forward
return self._conv_forward(input, self.weight, self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 549, in _conv_forward
return F.conv2d(
^^^^^^^^^

```
## System Information
- **ComfyUI Version:** v0.2.2-33-gf6b7194
- **Arguments:** main.py --listen 0.0.0.0 --port 23810
- **OS:** posix
- **Python Version:** 3.11.5 (main, Sep 11 2023, 13:54:46) [GCC 11.2.0]
- **Embedded Python:** false
- **PyTorch Version:** 2.5.1+cu124
## Devices

- **Name:** cuda:0 NVIDIA GeForce RTX 4090 : cudaMallocAsync
- **Type:** cuda
- **VRAM Total:** 25282281472
- **VRAM Free:** 22559712746
- **Torch VRAM Total:** 2181038080
- **Torch VRAM Free:** 13493738

## Logs
```
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2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_26_linear2.lora_up.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_26_modulation_lin.alpha
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_26_modulation_lin.lora_down.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_26_modulation_lin.lora_up.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_27_linear1.alpha
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_27_linear1.lora_down.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_27_linear1.lora_up.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_27_linear2.alpha
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_27_linear2.lora_down.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_27_linear2.lora_up.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_27_modulation_lin.alpha
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_27_modulation_lin.lora_down.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_27_modulation_lin.lora_up.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_28_linear1.alpha
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_28_linear1.lora_down.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_28_linear1.lora_up.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_28_linear2.alpha
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_28_linear2.lora_down.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_28_linear2.lora_up.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_28_modulation_lin.alpha
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_28_modulation_lin.lora_down.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_28_modulation_lin.lora_up.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_29_linear1.alpha
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_29_linear1.lora_down.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_29_linear1.lora_up.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_29_linear2.alpha
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_29_linear2.lora_down.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_29_linear2.lora_up.weight
2024-11-07 02:07:27,976 - root - WARNING - lora key not loaded: lora_unet_single_blocks_29_modulation_lin.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_29_modulation_lin.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_29_modulation_lin.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_2_linear1.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_2_linear1.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_2_linear1.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_2_linear2.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_2_linear2.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_2_linear2.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_2_modulation_lin.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_2_modulation_lin.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_2_modulation_lin.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_30_linear1.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_30_linear1.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_30_linear1.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_30_linear2.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_30_linear2.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_30_linear2.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_30_modulation_lin.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_30_modulation_lin.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_30_modulation_lin.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_31_linear1.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_31_linear1.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_31_linear1.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_31_linear2.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_31_linear2.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_31_linear2.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_31_modulation_lin.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_31_modulation_lin.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_31_modulation_lin.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_32_linear1.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_32_linear1.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_32_linear1.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_32_linear2.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_32_linear2.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_32_linear2.lora_up.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_32_modulation_lin.alpha
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_32_modulation_lin.lora_down.weight
2024-11-07 02:07:27,977 - root - WARNING - lora key not loaded: lora_unet_single_blocks_32_modulation_lin.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_33_linear1.alpha
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_33_linear1.lora_down.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_33_linear1.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_33_linear2.alpha
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_33_linear2.lora_down.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_33_linear2.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_33_modulation_lin.alpha
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_33_modulation_lin.lora_down.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_33_modulation_lin.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_34_linear1.alpha
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_34_linear1.lora_down.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_34_linear1.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_34_linear2.alpha
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_34_linear2.lora_down.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_34_linear2.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_34_modulation_lin.alpha
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_34_modulation_lin.lora_down.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_34_modulation_lin.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_35_linear1.alpha
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_35_linear1.lora_down.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_35_linear1.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_35_linear2.alpha
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_35_linear2.lora_down.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_35_linear2.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_35_modulation_lin.alpha
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_35_modulation_lin.lora_down.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_35_modulation_lin.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_36_linear1.alpha
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_36_linear1.lora_down.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_36_linear1.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_36_linear2.alpha
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_36_linear2.lora_down.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_36_linear2.lora_up.weight
2024-11-07 02:07:27,978 - root - WARNING - lora key not loaded: lora_unet_single_blocks_36_modulation_lin.alpha
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_36_modulation_lin.lora_down.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_36_modulation_lin.lora_up.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_37_linear1.alpha
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_37_linear1.lora_down.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_37_linear1.lora_up.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_37_linear2.alpha
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_37_linear2.lora_down.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_37_linear2.lora_up.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_37_modulation_lin.alpha
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_37_modulation_lin.lora_down.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_37_modulation_lin.lora_up.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_3_linear1.alpha
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_3_linear1.lora_down.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_3_linear1.lora_up.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_3_linear2.alpha
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_3_linear2.lora_down.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_3_linear2.lora_up.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_3_modulation_lin.alpha
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_3_modulation_lin.lora_down.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_3_modulation_lin.lora_up.weight
2024-11-07 02:07:27,979 - root - WARNING - lora key not loaded: lora_unet_single_blocks_4_linear1.alpha
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_4_linear1.lora_down.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_4_linear1.lora_up.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_4_linear2.alpha
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_4_linear2.lora_down.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_4_linear2.lora_up.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_4_modulation_lin.alpha
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_4_modulation_lin.lora_down.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_4_modulation_lin.lora_up.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_5_linear1.alpha
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_5_linear1.lora_down.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_5_linear1.lora_up.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_5_linear2.alpha
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_5_linear2.lora_down.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_5_linear2.lora_up.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_5_modulation_lin.alpha
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_5_modulation_lin.lora_down.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_5_modulation_lin.lora_up.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_6_linear1.alpha
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_6_linear1.lora_down.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_6_linear1.lora_up.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_6_linear2.alpha
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_6_linear2.lora_down.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_6_linear2.lora_up.weight
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_6_modulation_lin.alpha
2024-11-07 02:07:27,980 - root - WARNING - lora key not loaded: lora_unet_single_blocks_6_modulation_lin.lora_down.weight
2024-11-07 02:07:27,981 - root - INFO - got prompt
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_6_modulation_lin.lora_up.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_7_linear1.alpha
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_7_linear1.lora_down.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_7_linear1.lora_up.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_7_linear2.alpha
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_7_linear2.lora_down.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_7_linear2.lora_up.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_7_modulation_lin.alpha
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_7_modulation_lin.lora_down.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_7_modulation_lin.lora_up.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_8_linear1.alpha
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_8_linear1.lora_down.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_8_linear1.lora_up.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_8_linear2.alpha
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_8_linear2.lora_down.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_8_linear2.lora_up.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_8_modulation_lin.alpha
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_8_modulation_lin.lora_down.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_8_modulation_lin.lora_up.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_9_linear1.alpha
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_9_linear1.lora_down.weight
2024-11-07 02:07:27,981 - root - WARNING - lora key not loaded: lora_unet_single_blocks_9_linear1.lora_up.weight
2024-11-07 02:07:27,982 - root - WARNING - lora key not loaded: lora_unet_single_blocks_9_linear2.alpha
2024-11-07 02:07:27,982 - root - WARNING - lora key not loaded: lora_unet_single_blocks_9_linear2.lora_down.weight
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2024-11-07 02:07:27,982 - root - WARNING - lora key not loaded: lora_unet_single_blocks_9_modulation_lin.alpha
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2024-11-07 02:07:27,982 - root - WARNING - lora key not loaded: lora_unet_single_blocks_9_modulation_lin.lora_up.weight
2024-11-07 02:07:28,018 - root - INFO - Requested to load SD1ClipModel
2024-11-07 02:07:28,018 - root - INFO - Loading 1 new model
2024-11-07 02:07:28,092 - root - INFO - loaded completely 0.0 235.84423828125 True
2024-11-07 02:07:28,111 - root - INFO - Requested to load SD1ClipModel
2024-11-07 02:07:28,111 - root - INFO - Loading 1 new model
2024-11-07 02:07:28,167 - root - INFO - loaded completely 0.0 235.84423828125 True
2024-11-07 02:07:28,279 - root - INFO - Requested to load BaseModel
2024-11-07 02:07:28,279 - root - INFO - Loading 1 new model
2024-11-07 02:07:28,401 - root - INFO - loaded completely 0.0 1639.406135559082 True
2024-11-07 02:07:28,423 - root - ERROR - !!! Exception during processing !!! Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 90, 62] to have 4 channels, but got 16 channels instead
2024-11-07 02:07:28,429 - root - ERROR - Traceback (most recent call last):
File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 323, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 198, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)
File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/nodes.py", line 1430, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/nodes.py", line 1397, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 22, in informative_sample
raise e
File "/home/featurize/work/app/comfyui/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/sample.py", line 43, 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 "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 829, 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 "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 729, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 716, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 695, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 600, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/k_diffusion/sampling.py", line 144, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 299, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 682, in __call__
return self.predict_noise(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 685, 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 "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 279, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 228, in calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/model_base.py", line 142, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 857, 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 "/home/featurize/work/app/comfyui/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 50, in forward_timestep_embed
x = layer(x)
^^^^^^^^
File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/ops.py", line 106, in forward
return super().forward(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 554, in forward
return self._conv_forward(input, self.weight, self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/env/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 549, in _conv_forward
return F.conv2d(
^^^^^^^^^
RuntimeError: Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 90, 62] to have 4 channels, but got 16 channels instead

2024-11-07 02:07:28,431 - root - INFO - Prompt executed in 1.07 seconds
2024-11-07 02:07:28,663 - root - INFO - got prompt
2024-11-07 02:07:28,737 - root - ERROR - !!! Exception during processing !!! Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 90, 62] to have 4 channels, but got 16 channels instead
2024-11-07 02:07:28,740 - root - ERROR - Traceback (most recent call last):
File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 323, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 198, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)
File "/home/featurize/work/app/comfyui/ComfyUI/execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/nodes.py", line 1430, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/nodes.py", line 1397, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 22, in informative_sample
raise e
File "/home/featurize/work/app/comfyui/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/sample.py", line 43, 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 "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 829, 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 "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 729, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 716, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/featurize/work/app/comfyui/ComfyUI/comfy/samplers.py", line 695, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
```

### Other

_No response_