RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 1 but got size 2 for tensor number 1 in the list.

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Error occurred when executing KSampler:

Sizes of tensors must match except in dimension 1. Expected size 1 but got size 2 for tensor number 1 in the list.

mac m3

help

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@nullquant run BrushNet_SDXL_basic.json

[nullquant]

Can you please post complete log of error?

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Can you please post complete log of error?

Error occurred when executing KSampler:

Sizes of tensors must match except in dimension 1. Expected size 1 but got size 2 for tensor number 1 in the list.

File "/Users/jack/works/StableDiffusion/ComfyUI/execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "/Users/jack/works/StableDiffusion/ComfyUI/execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "/Users/jack/works/StableDiffusion/ComfyUI/execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "/Users/jack/works/StableDiffusion/ComfyUI/nodes.py", line 1344, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "/Users/jack/works/StableDiffusion/ComfyUI/custom_nodes/ComfyUI-BrushNet/brushnet_nodes.py", line 335, in modified_common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "/Users/jack/works/StableDiffusion/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 279, in motion_sample return orig_comfy_sample(model, noise, *args, *kwargs) File "/Users/jack/works/StableDiffusion/ComfyUI/custom_nodes/ComfyUI-Advanced-ControlNet/adv_control/control_reference.py", line 47, in refcn_sample return orig_comfy_sample(model, args, kwargs) File "/Users/jack/works/StableDiffusion/ComfyUI/custom_nodes/Comfyui-StableSR/nodes.py", line 69, in hook_sample return original_sample(*args, kwargs) File "/Users/jack/works/StableDiffusion/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 22, in informative_sample raise e File "/Users/jack/works/StableDiffusion/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 "/Users/jack/works/StableDiffusion/ComfyUI/comfy/sample.py", line 37, 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 "/Users/jack/works/StableDiffusion/ComfyUI/comfy/samplers.py", line 755, 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 "/Users/jack/works/StableDiffusion/ComfyUI/comfy/samplers.py", line 657, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "/Users/jack/works/StableDiffusion/ComfyUI/comfy/samplers.py", line 644, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "/Users/jack/works/StableDiffusion/ComfyUI/comfy/samplers.py", line 623, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "/Users/jack/works/StableDiffusion/ComfyUI/comfy/samplers.py", line 534, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, self.extra_options) File "/Users/jack/works/StableDiffusion/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "/Users/jack/works/StableDiffusion/ComfyUI/comfy/k_diffusion/sampling.py", line 701, 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 "/Users/jack/works/StableDiffusion/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, kwargs) File "/Users/jack/works/StableDiffusion/ComfyUI/comfy/k_diffusion/sampling.py", line 613, in sample_dpmpp_2m_sde denoised = model(x, sigmas[i] * s_in, *extra_args) File "/Users/jack/works/StableDiffusion/ComfyUI/comfy/samplers.py", line 272, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "/Users/jack/works/StableDiffusion/ComfyUI/comfy/samplers.py", line 610, in call return self.predict_noise(args, kwargs) File "/Users/jack/works/StableDiffusion/ComfyUI/comfy/samplers.py", line 613, 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 "/Users/jack/works/StableDiffusion/ComfyUI/comfy/samplers.py", line 258, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "/Users/jack/works/StableDiffusion/ComfyUI/comfy/samplers.py", line 218, in calc_cond_batch output = model.apply_model(inputx, timestep, c).chunk(batch_chunks) File "/Users/jack/works/StableDiffusion/ComfyUI/comfy/model_base.py", line 97, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, extra_conds).float() File "/Users/jack/works/StableDiffusion/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "/Users/jack/works/StableDiffusion/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "/Users/jack/works/StableDiffusion/ComfyUI/custom_nodes/ComfyUI-BrushNet/brushnet_nodes.py", line 413, in forward_patched_by_brushnet input_samples, mid_sample, output_samples = brushnet_inference(x, timesteps, transformer_options) File "/Users/jack/works/StableDiffusion/ComfyUI/custom_nodes/ComfyUI-BrushNet/brushnet_nodes.py", line 367, in brushnet_inference return brushnet(x, File "/Users/jack/works/StableDiffusion/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "/Users/jack/works/StableDiffusion/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "/Users/jack/works/StableDiffusion/ComfyUI/custom_nodes/ComfyUI-BrushNet/brushnet/brushnet.py", line 823, in forward brushnet_cond=torch.concat([sample,brushnet_cond],1)

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@nullquant Please take a look at what issue

[nullquant]

Okay, check it now, please

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Running normally 。。tks