Error occurred when executing KSampler: Given groups=1, weight of size [320, 9, 3, 3], expected input[1, 8, 126, 94] to have 9 channels, but got 8 channels instead who knows how to solve this problem?

[Jaylorandy]

Error occurred when executing KSampler:

Given groups=1, weight of size [320, 9, 3, 3], expected input[1, 8, 126, 94] to have 9 channels, but got 8 channels instead

File "E:\Softwares\Ai\ComfyUI-aki-v1.1\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\nodes.py", line 1344, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\nodes.py", line 1314, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
raise e
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\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 "E:\Softwares\Ai\ComfyUI-aki-v1.1\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control_reference.py", line 47, in refcn_sample
return orig_comfy_sample(model, *args, **kwargs)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 111, in uncond_multiplier_check_cn_sample
return orig_comfy_sample(model, *args, **kwargs)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\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 "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\samplers.py", line 761, 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 "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\samplers.py", line 663, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\samplers.py", line 650, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\samplers.py", line 629, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\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 "E:\Softwares\Ai\ComfyUI-aki-v1.1\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\k_diffusion\sampling.py", line 618, in sample_dpmpp_2m_sde
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\samplers.py", line 272, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\samplers.py", line 616, in call
return self.predict_noise(*args, **kwargs)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\samplers.py", line 619, 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 "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\samplers.py", line 258, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\samplers.py", line 216, 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 "E:\Softwares\Ai\ComfyUI-aki-v1.1\custom_nodes\ComfyUI-IC-Light\ic_light_nodes.py", line 116, in wrapper_func
return existing_wrapper(unet_apply, params=apply_c_concat(params))
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\custom_nodes\ComfyUI-IC-Light\ic_light_nodes.py", line 108, in unet_dummy_apply
return unet_apply(x=params["input"], t=params["timestep"], **params["c"])
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 63, in apply_model_uncond_cleanup_wrapper
return orig_apply_model(self, *args, **kwargs)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\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 "E:\Softwares\Ai\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 852, 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 "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 50, in forward_timestep_embed
x = layer(x)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\comfy\ops.py", line 66, in forward
return super().forward(*args, **kwargs)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\conv.py", line 460, in forward
return self._conv_forward(input, self.weight, self.bias)
File "E:\Softwares\Ai\ComfyUI-aki-v1.1\python\lib\site-packages\torch\nn\modules\conv.py", line 456, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,

[huchenlei]

You probably should not use an inpainting model.

[ssm82]

As it is written in the instructions, installing the ComfyUI-layerdiffuse solved the problem.

[cardenluo]

RuntimeError: Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 12, 64, 64] to have 4 channels, but got 12 channels instead

I have the same issue. Did you solve?

[cardenluo]

As it is written in the instructions, installing the ComfyUI-layerdiffuse solved the problem.

@ssm82 a good way ,fix