not work for brushnet, "The size of tensor a (640) must match the size of tensor b (320) at non-singleton dimension 1"

[xueqing0622]

RuntimeError: The size of tensor a (640) must match the size of tensor b (320) at non-singleton dimension 1
use gguf xl
remove the --fast for startup, also change the script: not work
if is_SDXL:

input_blocks = [[0, comfy.ops.disable_weight_init.Conv2d],

input_blocks = [[0, comfy.ops.manual_cast.Conv2d],
.....
else:

input_blocks = [[0, comfy.ops.disable_weight_init.Conv2d],

input_blocks = [[0, comfy.ops.manual_cast.Conv2d],

ComfyUI Error Report
Error Details
Node ID: 52
Node Type: KSampler
Exception Type: RuntimeError
Exception Message: The size of tensor a (640) must match the size of tensor b (320) at non-singleton dimension 1
Stack Trace
File "F:\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 "F:\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 "F:\ComfyUI\ComfyUI\execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)

File "F:\ComfyUI\ComfyUI\execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\nodes.py", line 1465, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\nodes.py", line 1432, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
raise e

File "F:\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 "F:\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 "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 1020, 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 "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BrushNet\model_patch.py", line 126, in modified_sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 904, in sample
output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 873, in outer_sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 857, in inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 714, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\k_diffusion\sampling.py", line 861, 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 "F:\ComfyUI\python_embeded\Lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\k_diffusion\sampling.py", line 764, in sample_dpmpp_2m_sde
denoised = model(x, sigmas[i] * s_in, **extra_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 384, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 839, in call
return self.predict_noise(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 842, 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 "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 364, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 200, in calc_cond_batch
return executor.execute(model, conds, x_in, timestep, model_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 311, in calc_cond_batch
output = model_options['model_function_wrapper'](model.apply_model, {"input": input_x, "timestep": timestep, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BrushNet\model_patch.py", line 58, in brushnet_model_function_wrapper
return apply_model_method(x, timestep, **options_dict['c'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\model_base.py", line 128, in apply_model
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\model_base.py", line 157, in _apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 831, in forward
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 873, 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 "F:\ComfyUI\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed
x = layer(x, context, transformer_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BrushNet\brushnet_nodes.py", line 1060, in forward_patched_by_brushnet
h += to_add.to(h.dtype).to(h.device)

File "F:\ComfyUI\python_embeded\Lib\site-packages\torch_tensor.py", line 1512, in torch_function
ret = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^

System Information
ComfyUI Version: v0.3.7-11-ga220d11e6b
Arguments: ComfyUI\main.py --multi-user --disable-xformers --auto-launch
OS: nt
Python Version: 3.11.9 (tags/v3.11.9:de54cf5, Apr 2 2024, 10:12:12) [MSC v.1938 64 bit (AMD64)]
Embedded Python: true
PyTorch Version: 2.5.1+cu124
Devices
Name: cuda:0 NVIDIA GeForce RTX 3060 Laptop GPU : cudaMallocAsync
Type: cuda
VRAM Total: 12884246528
VRAM Free: 920282668
Torch VRAM Total: 5435817984
Torch VRAM Free: 149931564
Logs
2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.825791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 - ^2024-12-14T09:59:42.826791 -
2024-12-14T09:59:42.827792 - 2024-12-14T09:59:42.827792 - File "F:\ComfyUI\python_embeded\Lib\site-packages\aiohttp\connector.py", line 944, in _create_connection
2024-12-14T09:59:42.827792 - 2024-12-14T09:59:42.827792 - 2024-12-14T09:59:42.827792 - _, proto = await self._create_direct_connection(req, traces, timeout)2024-12-14T09:59:42.827792 -
2024-12-14T09:59:42.827792 - 2024-12-14T09:59:42.827792 - 2024-12-14T09:59:42.828792 - 2024-12-14T09:59:42.828792 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - 2024-12-14T09:59:42.829793 - ^2024-12-14T09:59:42.829793 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.830792 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.831793 - ^2024-12-14T09:59:42.832793 - ^2024-12-14T09:59:42.832793 - ^2024-12-14T09:59:42.832793 - ^2024-12-14T09:59:42.832793 - ^2024-12-14T09:59:42.832793 - ^2024-12-14T09:59:42.832793 - ^2024-12-14T09:59:42.832793 - ^2024-12-14T09:59:42.832793 - ^2024-12-14T09:59:42.832793 - ^2024-12-14T09:59:42.832793 - ^2024-12-14T09:59:42.832793 -
2024-12-14T09:59:42.832793 - 2024-12-14T09:59:42.832793 - File "F:\ComfyUI\python_embeded\Lib\site-packages\aiohttp\connector.py", line 1257, in _create_direct_connection
2024-12-14T09:59:42.833793 - 2024-12-14T09:59:42.833793 - 2024-12-14T09:59:42.833793 - raise last_exc2024-12-14T09:59:42.833793 -
2024-12-14T09:59:42.833793 - 2024-12-14T09:59:42.833793 - File "F:\ComfyUI\python_embeded\Lib\site-packages\aiohttp\connector.py", line 1226, in _create_direct_connection
2024-12-14T09:59:42.833793 - 2024-12-14T09:59:42.833793 - 2024-12-14T09:59:42.834793 - transp, proto = await self._wrap_create_connection(2024-12-14T09:59:42.834793 -
2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.834793 - 2024-12-14T09:59:42.835794 - 2024-12-14T09:59:42.835794 - 2024-12-14T09:59:42.835794 - 2024-12-14T09:59:42.835794 - 2024-12-14T09:59:42.835794 - 2024-12-14T09:59:42.835794 - 2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.835794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 - ^2024-12-14T09:59:42.836794 -
2024-12-14T09:59:42.836794 - 2024-12-14T09:59:42.836794 - File "F:\ComfyUI\python_embeded\Lib\site-packages\aiohttp\connector.py", line 1033, in _wrap_create_connection
2024-12-14T09:59:42.837794 - 2024-12-14T09:59:42.837794 - 2024-12-14T09:59:42.837794 - raise client_error(req.connection_key, exc) from exc2024-12-14T09:59:42.837794 -
2024-12-14T09:59:42.837794 - 2024-12-14T09:59:42.837794 - aiohttp.client_exceptions2024-12-14T09:59:42.838794 - .2024-12-14T09:59:42.838794 - ClientConnectorError2024-12-14T09:59:42.838794 - : 2024-12-14T09:59:42.838794 - Cannot connect to host raw.githubusercontent.com:443 ssl:default [信号灯超时时间已到]2024-12-14T09:59:42.838794 -
2024-12-14T09:59:48.147822 - []2024-12-14T09:59:48.147822 -
2024-12-14T09:59:48.147822 - []2024-12-14T09:59:48.148822 -
2024-12-14T09:59:48.287854 - WARNING: request with non matching host and origin 127.0.0.1:8188 != 127.0.0.1:8000, returning 403
2024-12-14T09:59:54.193816 - WARNING: request with non matching host and origin 127.0.0.1:8188 != 127.0.0.1:8000, returning 403
2024-12-14T09:59:56.621112 - got prompt
2024-12-14T09:59:56.646117 - WARNING: [Errno 2] No such file or directory: 'F:\ComfyUI\ComfyUI\input\test_mask3 (1).png'
2024-12-14T09:59:56.741138 - SELECTED: input12024-12-14T09:59:56.741138 -
2024-12-14T09:59:56.754141 - BrushNet model type: Loading SDXL2024-12-14T09:59:56.754141 -
2024-12-14T09:59:56.776146 - BrushNet model file:2024-12-14T09:59:56.777146 - 2024-12-14T09:59:56.777146 - F:\ComfyUI\ComfyUI\models\inpaint\brushnet\brushnet_segmentation_mask_XL.safetensors2024-12-14T09:59:56.777146 -
2024-12-14T09:59:56.803152 - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set max_memory in to a higher value to use more memory (at your own risk).
2024-12-14T09:59:58.246023 - BrushNet SDXL model is loaded2024-12-14T09:59:58.246023 -
2024-12-14T09:59:58.282031 - Using pytorch attention in VAE
2024-12-14T09:59:58.284032 - Using pytorch attention in VAE
2024-12-14T09:59:58.491078 - Requested to load SDXLClipModel
2024-12-14T09:59:58.501081 - loaded completely 9.5367431640625e+25 1560.802734375 True
2024-12-14T09:59:59.113744 - clip missing: ['text_projection.weight']
2024-12-14T09:59:59.260777 -
ggml_sd_loader:2024-12-14T09:59:59.261777 -
2024-12-14T09:59:59.261777 - 1 9122024-12-14T09:59:59.262777 -
2024-12-14T09:59:59.262777 - 0 22024-12-14T09:59:59.262777 -
2024-12-14T09:59:59.262777 - 8 7662024-12-14T09:59:59.262777 -
2024-12-14T09:59:59.325791 - model weight dtype torch.float16, manual cast: None
2024-12-14T09:59:59.326792 - model_type EPS
2024-12-14T09:59:59.541839 - SELECTED: input12024-12-14T09:59:59.541839 -
2024-12-14T09:59:59.813900 - Base model type: SDXL2024-12-14T09:59:59.813900 -
2024-12-14T09:59:59.814901 - BrushNet image.shape =2024-12-14T09:59:59.814901 - 2024-12-14T09:59:59.814901 - torch.Size([1, 900, 600, 3])2024-12-14T09:59:59.814901 - 2024-12-14T09:59:59.814901 - mask.shape =2024-12-14T09:59:59.814901 - 2024-12-14T09:59:59.814901 - torch.Size([1, 900, 600])2024-12-14T09:59:59.814901 -
2024-12-14T09:59:59.818901 - Requested to load AutoencoderKL
2024-12-14T09:59:59.858910 - loaded completely 9.5367431640625e+25 159.55708122253418 True
2024-12-14T10:00:00.213990 - WARNING: request with non matching host and origin 127.0.0.1:8188 != 127.0.0.1:8000, returning 403
2024-12-14T10:00:00.261000 - BrushNet CL: image_latents shape =2024-12-14T10:00:00.261000 - 2024-12-14T10:00:00.261000 - torch.Size([1, 4, 112, 75])2024-12-14T10:00:00.261000 - 2024-12-14T10:00:00.261000 - interpolated_mask shape =2024-12-14T10:00:00.261000 - 2024-12-14T10:00:00.261000 - torch.Size([1, 1, 112, 75])2024-12-14T10:00:00.261000 -
2024-12-14T10:00:00.297009 - Requested to load SDXL
2024-12-14T10:00:01.447680 - loaded completely 9.5367431640625e+25 2630.7519607543945 True
2024-12-14T10:00:01.570708 -
0%| | 0/20 [00:00<?, ?it/s]2024-12-14T10:00:01.580709 - BrushNet inference: do_classifier_free_guidance is True2024-12-14T10:00:01.581709 -
2024-12-14T10:00:01.581709 - BrushNet inference, step = 0: image batch = 1, got 2 latents, starting from 02024-12-14T10:00:01.581709 -
2024-12-14T10:00:01.582710 - BrushNet inference: sample2024-12-14T10:00:01.582710 - 2024-12-14T10:00:01.582710 - torch.Size([2, 4, 112, 75])2024-12-14T10:00:01.582710 - 2024-12-14T10:00:01.582710 - , CL2024-12-14T10:00:01.582710 - 2024-12-14T10:00:01.582710 - torch.Size([2, 5, 112, 75])2024-12-14T10:00:01.582710 - 2024-12-14T10:00:01.583711 - dtype2024-12-14T10:00:01.583711 - 2024-12-14T10:00:01.583711 - torch.float162024-12-14T10:00:01.583711 -
2024-12-14T10:00:01.766751 - BrushNet can't find2024-12-14T10:00:01.766751 - 2024-12-14T10:00:01.766751 - <class 'comfy.ops.manual_cast.Conv2d'>2024-12-14T10:00:01.766751 - 2024-12-14T10:00:01.766751 - layer in2024-12-14T10:00:01.766751 - 2024-12-14T10:00:01.767752 - 02024-12-14T10:00:01.767752 - 2024-12-14T10:00:01.767752 - input block:2024-12-14T10:00:01.767752 - 2024-12-14T10:00:01.767752 - None2024-12-14T10:00:01.767752 -
2024-12-14T10:00:01.808761 -
0%| | 0/20 [00:00<?, ?it/s]2024-12-14T10:00:01.808761 -
2024-12-14T10:00:01.818763 - !!! Exception during processing !!! The size of tensor a (640) must match the size of tensor b (320) at non-singleton dimension 1
2024-12-14T10:00:01.823765 - Traceback (most recent call last):
File "F:\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 "F:\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 "F:\ComfyUI\ComfyUI\execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)
File "F:\ComfyUI\ComfyUI\execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\nodes.py", line 1465, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\nodes.py", line 1432, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
raise e
File "F:\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 "F:\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 "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 1020, 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 "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BrushNet\model_patch.py", line 126, in modified_sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 904, in sample
output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 873, in outer_sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 857, in inner_sample
samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 714, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\k_diffusion\sampling.py", line 861, 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 "F:\ComfyUI\python_embeded\Lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\k_diffusion\sampling.py", line 764, in sample_dpmpp_2m_sde
denoised = model(x, sigmas[i] * s_in, **extra_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 384, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 839, in call
return self.predict_noise(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 842, 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 "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 364, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 200, in calc_cond_batch
return executor.execute(model, conds, x_in, timestep, model_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\samplers.py", line 311, in calc_cond_batch
output = model_options['model_function_wrapper'](model.apply_model, {"input": input_x, "timestep": timestep, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BrushNet\model_patch.py", line 58, in brushnet_model_function_wrapper
return apply_model_method(x, timestep, **options_dict['c'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\model_base.py", line 128, in apply_model
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\model_base.py", line 157, in _apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 831, in forward
return comfy.patcher_extension.WrapperExecutor.new_class_executor(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\patcher_extension.py", line 110, in execute
return self.original(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 873, 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 "F:\ComfyUI\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed
x = layer(x, context, transformer_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BrushNet\brushnet_nodes.py", line 1060, in forward_patched_by_brushnet
h += to_add.to(h.dtype).to(h.device)
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch_tensor.py", line 1512, in torch_function
ret = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
RuntimeError: The size of tensor a (640) must match the size of tensor b (320) at non-singleton dimension 1

2024-12-14T10:00:01.828765 - Prompt executed in 5.20 seconds

Attached Workflow
Please make sure that workflow does not contain any sensitive information such as API keys or passwords.

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Additional Context
(Please add any additional context or steps to reproduce the error here)

[xueqing0622]

simple sdxl..safetensors works fine.