【求助】mat1 and mat2 shapes cannot be multiplied (512x4096 and 2048x640)

【求助】comfyui 新手，按readme搭起来的查看了类似issue，已更新comfyui和本项目代码到最新，还是报错也google, baidu相关问题，大多是说模型不兼容导致但除了vae是从https://huggingface.co/stabilityai/sdxl-vae/tree/main下载的，其它所有的模型都是按readme下载
懵逼中
Error occurred when executing KSampler:

mat1 and mat2 shapes cannot be multiplied (512x4096 and 2048x640)

File "/home/zzzz/src/ComfyUI/execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/home/zzzz/src/ComfyUI/execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "/home/zzzz/src/ComfyUI/execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/home/zzzz/src/ComfyUI/nodes.py", line 1373, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "/home/zzzz/src/ComfyUI/nodes.py", line 1343, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "/home/zzzz/src/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/zzzz/src/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/zzzz/src/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/zzzz/src/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/zzzz/src/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/zzzz/src/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/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "/home/zzzz/src/ComfyUI/comfy/k_diffusion/sampling.py", line 732, 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 "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "/home/zzzz/src/ComfyUI/comfy/k_diffusion/sampling.py", line 635, in sample_dpmpp_2m_sde
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "/home/zzzz/src/ComfyUI/comfy/samplers.py", line 299, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "/home/zzzz/src/ComfyUI/comfy/samplers.py", line 682, in __call__
return self.predict_noise(*args, **kwargs)
File "/home/zzzz/src/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/zzzz/src/ComfyUI/comfy/samplers.py", line 279, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "/home/zzzz/src/ComfyUI/comfy/samplers.py", line 228, in calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "/home/zzzz/src/ComfyUI/comfy/model_base.py", line 114, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1716, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1727, in _call_impl
return forward_call(*args, **kwargs)
File "/home/zzzz/src/ComfyUI/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 "/home/zzzz/src/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 44, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1716, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1727, in _call_impl
return forward_call(*args, **kwargs)
File "/home/zzzz/src/ComfyUI/comfy/ldm/modules/attention.py", line 694, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1716, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1727, in _call_impl
return forward_call(*args, **kwargs)
File "/home/zzzz/src/ComfyUI/comfy/ldm/modules/attention.py", line 621, in forward
n = self.attn2(n, context=context_attn2, value=value_attn2)
File "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1716, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1727, in _call_impl
return forward_call(*args, **kwargs)
File "/home/zzzz/src/ComfyUI/comfy/ldm/modules/attention.py", line 467, in forward
k = self.to_k(context)
File "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1716, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1727, in _call_impl
return forward_call(*args, **kwargs)
File "/home/zzzz/src/ComfyUI/comfy/ops.py", line 52, in forward
return super().forward(*args, **kwargs)
File "/home/zzzz/anaconda3/envs/nightly/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 125, in forward
return F.linear(input, self.weight, self.bias)
MinusZoneAI / ComfyUI-Kolors-MZ

【求助】mat1 and mat2 shapes cannot be multiplied (512x4096 and 2048x640) #50
