Error occurred when executing KSamplerAdvanced:
mat1 and mat2 shapes cannot be multiplied (385x2048 and 768x320)
File "/home/admin188/AI/ComfyUI/execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/home/admin188/AI/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 "/home/admin188/AI/ComfyUI/execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/home/admin188/AI/ComfyUI/nodes.py", line 1378, in sample
return common_ksampler(model, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise)
File "/home/admin188/AI/ComfyUI/nodes.py", line 1314, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "/home/admin188/AI/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 313, in motion_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
File "/home/admin188/AI/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 22, in informative_sample
raise e
File "/home/admin188/AI/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/admin188/AI/ComfyUI/custom_nodes/ComfyUI-Advanced-ControlNet/adv_control/control_reference.py", line 47, in refcn_sample
return orig_comfy_sample(model, *args, **kwargs)
File "/home/admin188/AI/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 "/home/admin188/AI/ComfyUI/custom_nodes/ComfyUI_smZNodes/smZNodes.py", line 1446, in KSampler_sample
return _KSampler_sample(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/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 "/home/admin188/AI/ComfyUI/custom_nodes/ComfyUI_smZNodes/smZNodes.py", line 1469, in sample
return _sample(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/comfy/samplers.py", line 663, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "/home/admin188/AI/ComfyUI/comfy/samplers.py", line 650, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "/home/admin188/AI/ComfyUI/comfy/samplers.py", line 629, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "/home/admin188/AI/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 "/home/admin188/anaconda3/envs/fooocus/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/comfy/k_diffusion/sampling.py", line 503, in sample_dpmpp_2s_ancestral
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "/home/admin188/AI/ComfyUI/comfy/samplers.py", line 272, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "/home/admin188/AI/ComfyUI/custom_nodes/ComfyUI_smZNodes/smZNodes.py", line 992, in __call__
return self.predict_noise(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/custom_nodes/ComfyUI_smZNodes/smZNodes.py", line 1042, in predict_noise
out = super().predict_noise(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/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 "/home/admin188/AI/ComfyUI/comfy/samplers.py", line 258, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "/home/admin188/AI/ComfyUI/custom_nodes/ComfyUI-TiledDiffusion/.patches.py", line 89, 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 "/home/admin188/anaconda3/envs/fooocus/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/custom_nodes/ComfyUI-TiledDiffusion/tiled_diffusion.py", line 547, in __call__
c_tile['control'] = control.get_control(x_tile, t_tile, c_tile, len(cond_or_uncond))
File "/home/admin188/AI/ComfyUI/comfy/controlnet.py", line 184, in get_control
control = self.control_model(x=x_noisy.to(dtype), hint=self.cond_hint, timesteps=timestep.float(), context=context.to(dtype), y=y)
File "/home/admin188/anaconda3/envs/fooocus/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/comfy/cldm/cldm.py", line 306, in forward
h = module(h, emb, context)
File "/home/admin188/anaconda3/envs/fooocus/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 60, in forward
return forward_timestep_embed(self, *args, **kwargs)
File "/home/admin188/AI/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 44, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "/home/admin188/anaconda3/envs/fooocus/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/comfy/ldm/modules/attention.py", line 633, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "/home/admin188/anaconda3/envs/fooocus/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/custom_nodes/ComfyUI-layerdiffuse/lib_layerdiffusion/attention_sharing.py", line 253, in forward
return func(self, x, context, transformer_options)
File "/home/admin188/AI/ComfyUI/custom_nodes/ComfyUI-Easy-Use/py/layer_diffuse/attension_sharing.py", line 253, in forward
return func(self, x, context, transformer_options)
File "/home/admin188/AI/ComfyUI/comfy/ldm/modules/attention.py", line 560, in forward
n = self.attn2(n, context=context_attn2, value=value_attn2)
File "/home/admin188/anaconda3/envs/fooocus/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/comfy/ldm/modules/attention.py", line 406, in forward
k = self.to_k(context)
File "/home/admin188/anaconda3/envs/fooocus/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/admin188/AI/ComfyUI/comfy/ops.py", line 52, in forward
return super().forward(*args, **kwargs)
File "/home/admin188/anaconda3/envs/fooocus/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)
The 1st gives :