Error occurred when executing KSampler:
mat1 and mat2 shapes cannot be multiplied (1x2048 and 768x3072)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\execution.py", line 317, 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 "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\execution.py", line 192, 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 "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\nodes.py", line 1429, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\nodes.py", line 1396, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
raise e
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\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 "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 410, in motion_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\sampling.py", line 92, in acn_sample
return orig_comfy_sample(model, *args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 112, in uncond_multiplier_check_cn_sample
return orig_comfy_sample(model, *args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\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 "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\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 "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\samplers.py", line 729, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\samplers.py", line 716, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\samplers.py", line 695, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\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 "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\k_diffusion\sampling.py", line 144, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\samplers.py", line 299, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\samplers.py", line 682, in __call__
return self.predict_noise(*args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\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 "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\samplers.py", line 279, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\custom_nodes\ComfyUI-TiledDiffusion\utils.py", line 13, in calc_cond_batch
return store[fn_name](*args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\samplers.py", line 228, in calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 64, in apply_model_uncond_cleanup_wrapper
return orig_apply_model(self, *args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\model_base.py", line 142, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\ldm\flux\model.py", line 159, in forward
out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\ldm\flux\model.py", line 111, in forward_orig
vec = vec + self.vector_in(y)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\comfy\ldm\flux\layers.py", line 57, in forward
return self.out_layer(self.silu(self.in_layer(x)))
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "C:\AI\StableDiffusion\Stable Diffusion ComfyUI Aki V1.2\custom_nodes\ComfyUI-GGUF\ops.py", line 79, in forward
x = self._forward_operation(x, weight, bias=bias)
and this is the workflow:
I can't find a suitable choice to load t5xxl for flux, so I chose sd3.if this is the reason why, how can I fix it?