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FaceDetailer mat1 and mat2 shapes cannot be multiplied (1x3584 and 5632x1280) #89

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Sxrjs2010 opened this issue Nov 28, 2024 · 0 comments

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@Sxrjs2010
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ComfyUI Error Report

Error Details

  • Node ID: 108
  • Node Type: FaceDetailer
  • Exception Type: RuntimeError
  • Exception Message: mat1 and mat2 shapes cannot be multiplied (1x3584 and 5632x1280)

Stack Trace

  File "D:\Project\ComfyUI\execution.py", line 323, 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 "D:\Project\ComfyUI\execution.py", line 198, 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 "D:\Project\ComfyUI\execution.py", line 169, in _map_node_over_list
    process_inputs(input_dict, i)

  File "D:\Project\ComfyUI\execution.py", line 158, in process_inputs
    results.append(getattr(obj, func)(**inputs))

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 591, in doit
    enhanced_img, cropped_enhanced, cropped_enhanced_alpha, mask, cnet_pil_list = FaceDetailer.enhance_face(

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 547, in enhance_face
    DetailerForEach.do_detail(image, segs, model, clip, vae, guide_size, guide_size_for_bbox, max_size, seed, steps, cfg,

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 323, in do_detail
    enhanced_image, cnet_pils = core.enhance_detail(cropped_image, model, clip, vae, guide_size, guide_size_for_bbox, max_size,

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\core.py", line 364, in enhance_detail
    refined_latent = impact_sampling.ksampler_wrapper(model2, seed2, steps2, cfg2, sampler_name2, scheduler2, positive2, negative2,

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 243, in ksampler_wrapper
    refined_latent = separated_sample(model, True, seed, advanced_steps, cfg, sampler_name, scheduler,

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 216, in separated_sample
    res = sample_with_custom_noise(model, add_noise, seed, cfg, positive, negative, impact_sampler, sigmas, latent_image, noise=noise, callback=callback)

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 160, in sample_with_custom_noise
    samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image,

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 420, in motion_sample
    return orig_comfy_sample(model, noise, *args, **kwargs)

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\sampling.py", line 116, in acn_sample
    return orig_comfy_sample(model, *args, **kwargs)

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 117, in uncond_multiplier_check_cn_sample
    return orig_comfy_sample(model, *args, **kwargs)

  File "D:\Project\ComfyUI\comfy\sample.py", line 48, in sample_custom
    samples = comfy.samplers.sample(model, noise, positive, negative, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)

  File "D:\Project\ComfyUI\comfy\samplers.py", line 753, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)

  File "D:\Project\ComfyUI\comfy\samplers.py", line 740, in sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)

  File "D:\Project\ComfyUI\comfy\samplers.py", line 719, in inner_sample
    samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\utils.py", line 34, in KSAMPLER_sample
    return orig_fn(*args, **kwargs)

  File "D:\Project\ComfyUI\comfy\samplers.py", line 624, in sample
    samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)

  File "D:\Project\ComfyUI\comfy\k_diffusion\sampling.py", line 155, in sample_euler
    denoised = model(x, sigma_hat * s_in, **extra_args)

  File "D:\Project\ComfyUI\comfy\samplers.py", line 299, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)

  File "D:\Project\ComfyUI\comfy\samplers.py", line 706, in __call__
    return self.predict_noise(*args, **kwargs)

  File "D:\Project\ComfyUI\comfy\samplers.py", line 709, 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 "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 65, in sampling_function_patched
    cfg_result = x - model_options["sampler_cfg_function"](args)

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 645, in automatic_cfg_function
    cond_pred = experimental_functions(cond_pred, cond_exp_method, cond_exp_value, cond_exp_normalize, self.previous_cond_pred, previous_sigma, sigma.item(), sigmax, attention_modifiers_positive, args, model_options_copy, eval_string_cond)

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 457, in experimental_functions
    cond = comfy.samplers.calc_cond_batch(args["model"], [cond_to_use], args["input"], args["timestep"], tmp_model_options)[0]

  File "D:\Project\ComfyUI\comfy\samplers.py", line 228, in calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 69, in apply_model_uncond_cleanup_wrapper
    return orig_apply_model(self, *args, **kwargs)

  File "D:\Project\ComfyUI\comfy\model_base.py", line 145, in apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)

  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Kolors-MZ\hook_comfyui_kolors_v2.py", line 71, in forward
    result = super().forward(*args, **kwargs)

  File "D:\Project\ComfyUI\custom_nodes\SeargeSDXL\modules\custom_sdxl_ksampler.py", line 71, in new_unet_forward
    x0 = old_unet_forward(self, x, timesteps, context, y, control, transformer_options, **kwargs)

  File "D:\Project\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 852, in forward
    emb = emb + self.label_emb(y)

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
    input = module(input)

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
    input = module(input)

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)

  File "D:\Project\ComfyUI\comfy\ops.py", line 70, in forward
    return super().forward(*args, **kwargs)

  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\linear.py", line 116, in forward
    return F.linear(input, self.weight, self.bias)

System Information

  • ComfyUI Version: v0.3.5-5-gb666539
  • Arguments: main.py --auto-launch --listen --use-pytorch-cross-attention
  • OS: nt
  • Python Version: 3.10.8 (tags/v3.10.8:aaaf517, Oct 11 2022, 16:50:30) [MSC v.1933 64 bit (AMD64)]
  • Embedded Python: false
  • PyTorch Version: 2.3.0+cu121

Devices

  • Name: cuda:0 NVIDIA GeForce RTX 4070 Laptop GPU : cudaMallocAsync
    • Type: cuda
    • VRAM Total: 8585216000
    • VRAM Free: 1959919204
    • Torch VRAM Total: 5335154688
    • Torch VRAM Free: 17956452

Logs

2024-11-28T10:23:30.388814 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-PixtralLlamaVision
2024-11-28T10:23:30.388814 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-Florence2
2024-11-28T10:23:30.388814 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI_ExtraModels
2024-11-28T10:23:30.389864 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-Allor
2024-11-28T10:23:30.389864 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-SUPIR
2024-11-28T10:23:30.389864 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\img2txt-comfyui-nodes
2024-11-28T10:23:30.389864 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-GGUF
2024-11-28T10:23:30.389864 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI_Qwen2-VL-Instruct
2024-11-28T10:23:30.389864 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\Flux-Prompt-Generator
2024-11-28T10:23:30.389864 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\Derfuu_ComfyUI_ModdedNodes
2024-11-28T10:23:30.390880 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved
2024-11-28T10:23:30.390880 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-KwaiKolorsWrapper
2024-11-28T10:23:30.390880 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI_bnb_nf4_fp4_Loaders
2024-11-28T10:23:30.390880 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\comfyui-workspace-manager
2024-11-28T10:23:30.390880 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\rgthree-comfy
2024-11-28T10:23:30.390880 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI_Comfyroll_CustomNodes
2024-11-28T10:23:30.390880 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-PyramidFlowWrapper
2024-11-28T10:23:30.390880 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-KJNodes
2024-11-28T10:23:30.391873 -    0.0 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-VEnhancer
2024-11-28T10:23:30.391873 -    0.1 seconds: D:\Project\ComfyUI\custom_nodes\comfyui-ollama
2024-11-28T10:23:30.391873 -    0.1 seconds: D:\Project\ComfyUI\custom_nodes\comfyui_dagthomas
2024-11-28T10:23:30.391873 -    0.1 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-Inspire-Pack
2024-11-28T10:23:30.391873 -    0.1 seconds: D:\Project\ComfyUI\custom_nodes\Fooocus_Nodes
2024-11-28T10:23:30.391873 -    0.1 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-ControlNeXt-SVD
2024-11-28T10:23:30.391873 -    0.1 seconds: D:\Project\ComfyUI\custom_nodes\PuLID_ComfyUI
2024-11-28T10:23:30.391873 -    0.1 seconds: D:\Project\ComfyUI\custom_nodes\comfyui-tensorops
2024-11-28T10:23:30.392872 -    0.2 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-SAM2
2024-11-28T10:23:30.392872 -    0.2 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-Fluxpromptenhancer
2024-11-28T10:23:30.392872 -    0.2 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI_LayerStyle
2024-11-28T10:23:30.392872 -    0.3 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-tbox
2024-11-28T10:23:30.392872 -    0.3 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-BrushNet
2024-11-28T10:23:30.392872 -    0.3 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-LTXVideo
2024-11-28T10:23:30.394538 -    0.4 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-Gemini
2024-11-28T10:23:30.394538 -    0.4 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-IF_AI_tools
2024-11-28T10:23:30.394538 -    0.5 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI_Fill-Nodes
2024-11-28T10:23:30.395544 -    0.6 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-Manager
2024-11-28T10:23:30.395544 -    0.6 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-Crystools
2024-11-28T10:23:30.396529 -    0.6 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-CCSR
2024-11-28T10:23:30.396529 -    0.6 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-Easy-Use
2024-11-28T10:23:30.396529 -    0.8 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI-LLaVA-OneVision
2024-11-28T10:23:30.396529 -    0.8 seconds: D:\Project\ComfyUI\custom_nodes\SeargeSDXL
2024-11-28T10:23:30.396529 -    0.9 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI_InstantID
2024-11-28T10:23:30.396529 -    1.0 seconds: D:\Project\ComfyUI\custom_nodes\batchImg-rembg-ComfyUI-nodes
2024-11-28T10:23:30.397521 -    1.0 seconds: D:\Project\ComfyUI\custom_nodes\comfyui-reactor-node
2024-11-28T10:23:30.398029 -    1.3 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI_Custom_Nodes_AlekPet
2024-11-28T10:23:30.398029 -    1.3 seconds: D:\Project\ComfyUI\custom_nodes\ComfyUI_VLM_nodes
2024-11-28T10:23:30.398029 -    1.5 seconds: D:\Project\ComfyUI\custom_nodes\was-node-suite-comfyui
2024-11-28T10:23:30.398029 -    3.9 seconds: D:\Project\ComfyUI\custom_nodes\comfyui-art-venture
2024-11-28T10:23:30.398029 - 
2024-11-28T10:23:30.418087 - Starting server

2024-11-28T10:23:30.419085 - To see the GUI go to: http://0.0.0.0:8188
2024-11-28T10:23:30.419085 - To see the GUI go to: http://[::]:8188
2024-11-28T10:23:31.319640 - FETCH DATA from: D:\Project\ComfyUI\custom_nodes\ComfyUI-Manager\extension-node-map.json2024-11-28T10:23:31.319640 - 2024-11-28T10:23:31.325759 -  [DONE]2024-11-28T10:23:31.327779 - 
2024-11-28T10:23:31.508885 - [ERROR] An error occurred while retrieving information for the 'IF_ChatPrompt' node.
2024-11-28T10:23:31.509268 - Traceback (most recent call last):
  File "D:\Project\ComfyUI\server.py", line 564, in get_object_info
    out[x] = node_info(x)
  File "D:\Project\ComfyUI\server.py", line 531, in node_info
    info['input'] = obj_class.INPUT_TYPES()
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-IF_AI_tools\IFChatPromptNode.py", line 109, in INPUT_TYPES
    node = cls()
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-IF_AI_tools\IFChatPromptNode.py", line 53, in __init__
    self.agent_tools = self.load_agent_tools()
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-IF_AI_tools\IFChatPromptNode.py", line 78, in load_agent_tools
    for filename in os.listdir(self.agents_dir):
FileNotFoundError: [WinError 3] 系统找不到指定的路径。: 'D:\\Project\\ComfyUI\\input\\IF_AI\\presets\\agents'

2024-11-28T10:23:31.543923 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:23:31.543923 - 
2024-11-28T10:23:31.545524 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:23:31.548026 - 
2024-11-28T10:23:31.548026 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:23:31.548026 - 
2024-11-28T10:23:31.550028 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:23:31.550028 - 
2024-11-28T10:23:31.550458 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:23:31.550458 - 
2024-11-28T10:23:31.551486 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:23:31.551486 - 
2024-11-28T10:23:31.551486 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:23:31.551486 - 
2024-11-28T10:23:31.552046 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:23:31.552046 - 
2024-11-28T10:23:31.552046 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:23:31.552046 - 
2024-11-28T10:23:31.552046 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:23:31.552046 - 
2024-11-28T10:23:31.552046 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:23:31.552046 - 
2024-11-28T10:23:31.552046 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:23:31.552046 - 
2024-11-28T10:23:31.557823 - �[33mQualityOfLifeSuit_Omar92:�[0m:NSP ready2024-11-28T10:23:31.557823 - 
2024-11-28T10:23:31.745121 - []2024-11-28T10:23:31.745121 - 
2024-11-28T10:23:31.745121 - []2024-11-28T10:23:31.748123 - 
2024-11-28T10:25:15.111608 - got prompt
2024-11-28T10:25:15.398099 - model weight dtype torch.bfloat16, manual cast: None
2024-11-28T10:25:15.399496 - model_type FLUX
2024-11-28T10:25:40.481254 - no CLIP/text encoder weights in checkpoint, the text encoder model will not be loaded.
2024-11-28T10:26:30.824579 - Requested to load MochiTEModel_
2024-11-28T10:26:30.824579 - Loading 1 new model
2024-11-28T10:26:32.321164 - loaded partially 5636.8 5611.38671875 0
2024-11-28T10:26:33.856017 - Unloading models for lowram load.
2024-11-28T10:26:33.868997 - 0 models unloaded.
2024-11-28T10:26:34.513041 - Requested to load VideoVAE
2024-11-28T10:26:34.513041 - Loading 1 new model
2024-11-28T10:26:34.991155 - loaded completely 0.0 799.548433303833 True
2024-11-28T10:26:35.688506 - Requested to load LTXV
2024-11-28T10:26:35.688506 - Loading 1 new model
2024-11-28T10:26:37.843697 - loaded completely 0.0 3667.902587890625 True
2024-11-28T10:27:39.555407 - 
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [01:01<00:00,  3.14s/it]2024-11-28T10:27:39.555407 - 
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [01:01<00:00,  3.08s/it]2024-11-28T10:27:39.555407 - 
2024-11-28T10:27:42.429973 - Unloading models for lowram load.
2024-11-28T10:27:42.689058 - 1 models unloaded.
2024-11-28T10:27:42.689736 - Loading 1 new model
2024-11-28T10:27:42.810433 - loaded completely 0.0 799.548433303833 True
2024-11-28T10:27:51.219355 - Prompt executed in 156.08 seconds
2024-11-28T10:33:10.277254 - FETCH DATA from: D:\Project\ComfyUI\custom_nodes\ComfyUI-Manager\extension-node-map.json2024-11-28T10:33:10.277254 - 2024-11-28T10:33:10.282999 -  [DONE]2024-11-28T10:33:10.282999 - 
2024-11-28T10:33:10.449711 - [ERROR] An error occurred while retrieving information for the 'IF_ChatPrompt' node.
2024-11-28T10:33:10.449711 - Traceback (most recent call last):
  File "D:\Project\ComfyUI\server.py", line 564, in get_object_info
    out[x] = node_info(x)
  File "D:\Project\ComfyUI\server.py", line 531, in node_info
    info['input'] = obj_class.INPUT_TYPES()
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-IF_AI_tools\IFChatPromptNode.py", line 109, in INPUT_TYPES
    node = cls()
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-IF_AI_tools\IFChatPromptNode.py", line 53, in __init__
    self.agent_tools = self.load_agent_tools()
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-IF_AI_tools\IFChatPromptNode.py", line 78, in load_agent_tools
    for filename in os.listdir(self.agents_dir):
FileNotFoundError: [WinError 3] 系统找不到指定的路径。: 'D:\\Project\\ComfyUI\\input\\IF_AI\\presets\\agents'

2024-11-28T10:33:10.465992 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:33:10.465992 - 
2024-11-28T10:33:10.468867 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:33:10.468867 - 
2024-11-28T10:33:10.468867 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:33:10.470001 - 
2024-11-28T10:33:10.470001 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:33:10.470001 - 
2024-11-28T10:33:10.471002 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:33:10.471002 - 
2024-11-28T10:33:10.471999 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:33:10.471999 - 
2024-11-28T10:33:10.471999 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:33:10.471999 - 
2024-11-28T10:33:10.472997 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:33:10.472997 - 
2024-11-28T10:33:10.472997 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:33:10.473998 - 
2024-11-28T10:33:10.473998 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:33:10.473998 - 
2024-11-28T10:33:10.474999 - Invalid model config for model D:\Project\ComfyUI\models\LLM\checkpoints2024-11-28T10:33:10.474999 - 
2024-11-28T10:33:10.474999 - Invalid model config for model D:\Project\ComfyUI\models\LLM\LLaVA-OneVision2024-11-28T10:33:10.474999 - 
2024-11-28T10:33:10.675886 - []2024-11-28T10:33:10.676886 - 
2024-11-28T10:33:10.676886 - []2024-11-28T10:33:10.676886 - 
2024-11-28T10:33:27.965337 - HTTP Request: GET http://127.0.0.1:11434/api/tags "HTTP/1.1 200 OK"
2024-11-28T10:37:17.093588 - HTTP Request: GET http://127.0.0.1:11434/api/tags "HTTP/1.1 200 OK"
2024-11-28T10:37:17.130336 - HTTP Request: GET http://127.0.0.1:11434/api/tags "HTTP/1.1 200 OK"
2024-11-28T10:37:17.163414 - HTTP Request: GET http://127.0.0.1:11434/api/tags "HTTP/1.1 200 OK"
2024-11-28T10:37:17.204257 - HTTP Request: GET http://127.0.0.1:11434/api/tags "HTTP/1.1 200 OK"
2024-11-28T10:37:17.236097 - HTTP Request: GET http://127.0.0.1:11434/api/tags "HTTP/1.1 200 OK"
2024-11-28T10:37:17.272175 - HTTP Request: GET http://127.0.0.1:11434/api/tags "HTTP/1.1 200 OK"
2024-11-28T10:37:17.315489 - HTTP Request: GET http://127.0.0.1:11434/api/tags "HTTP/1.1 200 OK"
2024-11-28T10:37:17.357870 - HTTP Request: GET http://127.0.0.1:11434/api/tags "HTTP/1.1 200 OK"
2024-11-28T10:37:17.395921 - HTTP Request: GET http://127.0.0.1:11434/api/tags "HTTP/1.1 200 OK"
2024-11-28T10:38:09.666766 - HTTP Request: GET http://127.0.0.1:11434/api/tags "HTTP/1.1 200 OK"
2024-11-28T10:38:35.368408 - got prompt
2024-11-28T10:38:36.700585 - Using pytorch attention in VAE
2024-11-28T10:38:36.702644 - Using pytorch attention in VAE
2024-11-28T10:38:37.748154 - torch version:2024-11-28T10:38:37.748417 -  2024-11-28T10:38:37.748417 - 2.3.0+cu1212024-11-28T10:38:37.748417 - 
2024-11-28T10:39:10.386870 - WARNING: the load_unet_state_dict function has been deprecated and will be removed please switch to: load_diffusion_model_state_dict2024-11-28T10:39:10.386870 - 
2024-11-28T10:39:10.397175 - input_blocks.1.0.skip_connection.weight down_blocks.0.resnets.0.conv_shortcut.weight
2024-11-28T10:39:10.397175 - input_blocks.1.0.skip_connection.bias down_blocks.0.resnets.0.conv_shortcut.bias
2024-11-28T10:39:10.397175 - input_blocks.2.0.skip_connection.weight down_blocks.0.resnets.1.conv_shortcut.weight
2024-11-28T10:39:10.397175 - input_blocks.2.0.skip_connection.bias down_blocks.0.resnets.1.conv_shortcut.bias
2024-11-28T10:39:10.397175 - input_blocks.5.0.skip_connection.weight down_blocks.1.resnets.1.conv_shortcut.weight
2024-11-28T10:39:10.397175 - input_blocks.5.0.skip_connection.bias down_blocks.1.resnets.1.conv_shortcut.bias
2024-11-28T10:39:10.397175 - input_blocks.8.0.skip_connection.weight down_blocks.2.resnets.1.conv_shortcut.weight
2024-11-28T10:39:10.397175 - input_blocks.8.0.skip_connection.bias down_blocks.2.resnets.1.conv_shortcut.bias
2024-11-28T10:39:10.397175 - input_blocks.9.0.op.weight down_blocks.2.downsamplers.0.conv.weight
2024-11-28T10:39:10.397175 - input_blocks.9.0.op.bias down_blocks.2.downsamplers.0.conv.bias
2024-11-28T10:39:10.397175 - middle_block.0.skip_connection.weight mid_block.resnets.0.conv_shortcut.weight
2024-11-28T10:39:10.397175 - middle_block.0.skip_connection.bias mid_block.resnets.0.conv_shortcut.bias
2024-11-28T10:39:10.397175 - middle_block.2.skip_connection.weight mid_block.resnets.1.conv_shortcut.weight
2024-11-28T10:39:10.397175 - middle_block.2.skip_connection.bias mid_block.resnets.1.conv_shortcut.bias
2024-11-28T10:39:10.397175 - output_blocks.8.1.conv.weight up_blocks.2.upsamplers.0.conv.weight
2024-11-28T10:39:10.397175 - output_blocks.8.1.conv.bias up_blocks.2.upsamplers.0.conv.bias
2024-11-28T10:39:10.397175 - label_emb.0.0.bias class_embedding.linear_1.bias
2024-11-28T10:39:10.397175 - label_emb.0.2.bias class_embedding.linear_2.bias
2024-11-28T10:39:10.397175 - label_emb.0.0.weight class_embedding.linear_1.weight
2024-11-28T10:39:10.397175 - label_emb.0.2.weight class_embedding.linear_2.weight
2024-11-28T10:39:10.478289 - model weight dtype torch.float16, manual cast: None
2024-11-28T10:39:10.506863 - model_type EPS
2024-11-28T10:39:23.400100 - Model maximum sigma: 29.06122398376465 / Model minimum sigma: 0.0291671603918075562024-11-28T10:39:23.400100 - 
2024-11-28T10:39:23.400100 - Sampling function patched. Uncond enabled from 0.0 to 1.02024-11-28T10:39:23.400100 - 
2024-11-28T10:39:23.400100 - Preset �[32mSDXL_Analog_photo_helper�[39m loaded successfully!2024-11-28T10:39:23.400100 - 
2024-11-28T10:39:23.404642 - Requested to load SDXL
2024-11-28T10:39:23.404642 - Loading 1 new model
2024-11-28T10:39:24.321701 - loaded completely 0.0 4935.9311599731445 True
2024-11-28T10:39:39.461440 - 
100%|██████████████████████████████████████████████████████████████████████████████████| 18/18 [00:15<00:00,  2.11it/s]2024-11-28T10:39:39.461977 - 
100%|██████████████████████████████████████████████████████████████████████████████████| 18/18 [00:15<00:00,  1.20it/s]2024-11-28T10:39:39.461977 - 
2024-11-28T10:39:39.463307 - Requested to load AutoencoderKL
2024-11-28T10:39:39.463307 - Loading 1 new model
2024-11-28T10:39:40.290950 - loaded completely 0.0 159.55708122253418 True
2024-11-28T10:39:41.452916 - 
2024-11-28T10:39:42.070902 - 0: 640x384 1 face, 146.2ms
2024-11-28T10:39:42.071405 - Speed: 9.9ms preprocess, 146.2ms inference, 18.3ms postprocess per image at shape (1, 3, 640, 384)
2024-11-28T10:39:42.232955 - CLIP: [detailed face, detailed eyes]2024-11-28T10:39:42.232955 - 
2024-11-28T10:39:42.234894 - Requested to load SD3ClipModel_
2024-11-28T10:39:42.234894 - Loading 1 new model
2024-11-28T10:39:43.881451 - loaded completely 0.0 4541.693359375 True
2024-11-28T10:39:44.093991 - Detailer: segment upscale for ((86.57962, 111.23291)) | crop region (259, 333) x 3.0770116911258074 -> (796, 1024)2024-11-28T10:39:44.093991 - 
2024-11-28T10:39:45.191327 - Requested to load SDXL
2024-11-28T10:39:45.191327 - Loading 1 new model
2024-11-28T10:39:47.221121 - loaded completely 0.0 4935.9311599731445 True
2024-11-28T10:39:47.244520 - 
  0%|                                                                                           | 0/20 [00:00<?, ?it/s]2024-11-28T10:39:47.623233 - 
  0%|                                                                                           | 0/20 [00:00<?, ?it/s]2024-11-28T10:39:47.623233 - 
2024-11-28T10:39:47.671217 - !!! Exception during processing !!! mat1 and mat2 shapes cannot be multiplied (1x3584 and 5632x1280)
2024-11-28T10:39:47.681432 - Traceback (most recent call last):
  File "D:\Project\ComfyUI\execution.py", line 323, 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 "D:\Project\ComfyUI\execution.py", line 198, 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 "D:\Project\ComfyUI\execution.py", line 169, in _map_node_over_list
    process_inputs(input_dict, i)
  File "D:\Project\ComfyUI\execution.py", line 158, in process_inputs
    results.append(getattr(obj, func)(**inputs))
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 591, in doit
    enhanced_img, cropped_enhanced, cropped_enhanced_alpha, mask, cnet_pil_list = FaceDetailer.enhance_face(
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 547, in enhance_face
    DetailerForEach.do_detail(image, segs, model, clip, vae, guide_size, guide_size_for_bbox, max_size, seed, steps, cfg,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 323, in do_detail
    enhanced_image, cnet_pils = core.enhance_detail(cropped_image, model, clip, vae, guide_size, guide_size_for_bbox, max_size,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\core.py", line 364, in enhance_detail
    refined_latent = impact_sampling.ksampler_wrapper(model2, seed2, steps2, cfg2, sampler_name2, scheduler2, positive2, negative2,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 243, in ksampler_wrapper
    refined_latent = separated_sample(model, True, seed, advanced_steps, cfg, sampler_name, scheduler,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 216, in separated_sample
    res = sample_with_custom_noise(model, add_noise, seed, cfg, positive, negative, impact_sampler, sigmas, latent_image, noise=noise, callback=callback)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 160, in sample_with_custom_noise
    samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 420, in motion_sample
    return orig_comfy_sample(model, noise, *args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\sampling.py", line 116, in acn_sample
    return orig_comfy_sample(model, *args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 117, in uncond_multiplier_check_cn_sample
    return orig_comfy_sample(model, *args, **kwargs)
  File "D:\Project\ComfyUI\comfy\sample.py", line 48, in sample_custom
    samples = comfy.samplers.sample(model, noise, positive, negative, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 753, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 740, in sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 719, in inner_sample
    samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\utils.py", line 34, in KSAMPLER_sample
    return orig_fn(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 624, in sample
    samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\k_diffusion\sampling.py", line 155, in sample_euler
    denoised = model(x, sigma_hat * s_in, **extra_args)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 299, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 706, in __call__
    return self.predict_noise(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 709, 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 "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 65, in sampling_function_patched
    cfg_result = x - model_options["sampler_cfg_function"](args)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 645, in automatic_cfg_function
    cond_pred = experimental_functions(cond_pred, cond_exp_method, cond_exp_value, cond_exp_normalize, self.previous_cond_pred, previous_sigma, sigma.item(), sigmax, attention_modifiers_positive, args, model_options_copy, eval_string_cond)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 457, in experimental_functions
    cond = comfy.samplers.calc_cond_batch(args["model"], [cond_to_use], args["input"], args["timestep"], tmp_model_options)[0]
  File "D:\Project\ComfyUI\comfy\samplers.py", line 228, in calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 69, in apply_model_uncond_cleanup_wrapper
    return orig_apply_model(self, *args, **kwargs)
  File "D:\Project\ComfyUI\comfy\model_base.py", line 145, in apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Kolors-MZ\hook_comfyui_kolors_v2.py", line 71, in forward
    result = super().forward(*args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\SeargeSDXL\modules\custom_sdxl_ksampler.py", line 71, in new_unet_forward
    x0 = old_unet_forward(self, x, timesteps, context, y, control, transformer_options, **kwargs)
  File "D:\Project\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 852, in forward
    emb = emb + self.label_emb(y)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
    input = module(input)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
    input = module(input)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\ops.py", line 70, in forward
    return super().forward(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\linear.py", line 116, in forward
    return F.linear(input, self.weight, self.bias)
RuntimeError: mat1 and mat2 shapes cannot be multiplied (1x3584 and 5632x1280)

2024-11-28T10:39:47.687273 - Prompt executed in 72.30 seconds
2024-11-28T10:40:03.980062 - got prompt
2024-11-28T10:40:04.294867 - Requested to load SDXL
2024-11-28T10:40:04.294867 - Loading 1 new model
2024-11-28T10:40:19.082541 - 
100%|██████████████████████████████████████████████████████████████████████████████████| 18/18 [00:14<00:00,  2.11it/s]2024-11-28T10:40:19.082541 - 
100%|██████████████████████████████████████████████████████████████████████████████████| 18/18 [00:14<00:00,  1.22it/s]2024-11-28T10:40:19.082541 - 
2024-11-28T10:40:19.088760 - Requested to load AutoencoderKL
2024-11-28T10:40:19.089071 - Loading 1 new model
2024-11-28T10:40:20.245170 - loaded completely 0.0 159.55708122253418 True
2024-11-28T10:41:13.841811 - 
2024-11-28T10:41:13.921422 - 0: 640x384 1 face, 75.0ms
2024-11-28T10:41:13.921422 - Speed: 0.0ms preprocess, 75.0ms inference, 0.0ms postprocess per image at shape (1, 3, 640, 384)
2024-11-28T10:41:14.021614 - CLIP: [detailed face, detailed eyes]2024-11-28T10:41:14.021614 - 
2024-11-28T10:41:14.021614 - Requested to load MochiTEModel_
2024-11-28T10:41:14.021614 - Loading 1 new model
2024-11-28T10:41:16.368351 - loaded partially 5385.907494354248 5371.38671875 0
2024-11-28T10:41:17.641682 - Detailer: segment upscale for ((103.17801, 142.41855)) | crop region (309, 427) x 2.3983918543456695 -> (741, 1024)2024-11-28T10:41:17.641682 - 
2024-11-28T10:41:17.711309 - Requested to load AutoencoderKL
2024-11-28T10:41:17.711309 - Loading 1 new model
2024-11-28T10:41:18.497414 - loaded completely 0.0 159.55708122253418 True
2024-11-28T10:41:18.983237 - Requested to load SDXL
2024-11-28T10:41:18.983237 - Loading 1 new model
2024-11-28T10:41:21.460634 - loaded completely 0.0 4935.9311599731445 True
2024-11-28T10:41:21.491690 - !!! Exception during processing !!! 'NoneType' object has no attribute 'shape'
2024-11-28T10:41:21.491690 - Traceback (most recent call last):
  File "D:\Project\ComfyUI\execution.py", line 323, 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 "D:\Project\ComfyUI\execution.py", line 198, 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 "D:\Project\ComfyUI\execution.py", line 169, in _map_node_over_list
    process_inputs(input_dict, i)
  File "D:\Project\ComfyUI\execution.py", line 158, in process_inputs
    results.append(getattr(obj, func)(**inputs))
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 591, in doit
    enhanced_img, cropped_enhanced, cropped_enhanced_alpha, mask, cnet_pil_list = FaceDetailer.enhance_face(
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 547, in enhance_face
    DetailerForEach.do_detail(image, segs, model, clip, vae, guide_size, guide_size_for_bbox, max_size, seed, steps, cfg,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 323, in do_detail
    enhanced_image, cnet_pils = core.enhance_detail(cropped_image, model, clip, vae, guide_size, guide_size_for_bbox, max_size,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\core.py", line 364, in enhance_detail
    refined_latent = impact_sampling.ksampler_wrapper(model2, seed2, steps2, cfg2, sampler_name2, scheduler2, positive2, negative2,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 243, in ksampler_wrapper
    refined_latent = separated_sample(model, True, seed, advanced_steps, cfg, sampler_name, scheduler,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 216, in separated_sample
    res = sample_with_custom_noise(model, add_noise, seed, cfg, positive, negative, impact_sampler, sigmas, latent_image, noise=noise, callback=callback)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 160, in sample_with_custom_noise
    samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 420, in motion_sample
    return orig_comfy_sample(model, noise, *args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\sampling.py", line 116, in acn_sample
    return orig_comfy_sample(model, *args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 117, in uncond_multiplier_check_cn_sample
    return orig_comfy_sample(model, *args, **kwargs)
  File "D:\Project\ComfyUI\comfy\sample.py", line 48, in sample_custom
    samples = comfy.samplers.sample(model, noise, positive, negative, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 753, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 740, in sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 715, in inner_sample
    self.conds = process_conds(self.inner_model, noise, self.conds, device, latent_image, denoise_mask, seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 667, in process_conds
    conds[k] = encode_model_conds(model.extra_conds, conds[k], noise, device, k, latent_image=latent_image, denoise_mask=denoise_mask, seed=seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 578, in encode_model_conds
    out = model_function(**params)
  File "D:\Project\ComfyUI\comfy\model_base.py", line 205, in extra_conds
    adm = self.encode_adm(**kwargs)
  File "D:\Project\ComfyUI\comfy\model_base.py", line 388, in encode_adm
    flat = torch.flatten(torch.cat(out)).unsqueeze(dim=0).repeat(clip_pooled.shape[0], 1)
AttributeError: 'NoneType' object has no attribute 'shape'

2024-11-28T10:41:21.497016 - Prompt executed in 77.51 seconds
2024-11-28T10:42:02.413530 - got prompt
2024-11-28T10:42:02.608717 - Requested to load SDXL
2024-11-28T10:42:02.608717 - Loading 1 new model
2024-11-28T10:42:17.428726 - 
100%|██████████████████████████████████████████████████████████████████████████████████| 18/18 [00:14<00:00,  2.10it/s]2024-11-28T10:42:17.428726 - 
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2024-11-28T10:42:17.430714 - Requested to load AutoencoderKL
2024-11-28T10:42:17.430714 - Loading 1 new model
2024-11-28T10:42:19.036851 - loaded completely 0.0 159.55708122253418 True
2024-11-28T10:42:24.521727 - 
2024-11-28T10:42:24.594618 - 0: 640x384 1 face, 55.0ms
2024-11-28T10:42:24.595617 - Speed: 0.0ms preprocess, 55.0ms inference, 4.6ms postprocess per image at shape (1, 3, 640, 384)
2024-11-28T10:42:24.744672 - CLIP: [detailed face, detailed eyes]2024-11-28T10:42:24.744672 - 
2024-11-28T10:42:24.746667 - Requested to load SD3ClipModel_
2024-11-28T10:42:24.746667 - Loading 1 new model
2024-11-28T10:42:26.147600 - loaded completely 0.0 4541.693359375 True
2024-11-28T10:42:26.371885 - Detailer: segment upscale for ((102.4639, 141.64877)) | crop region (307, 424) x 2.4151071934146624 -> (741, 1024)2024-11-28T10:42:26.371885 - 
2024-11-28T10:42:27.460366 - Requested to load SDXL
2024-11-28T10:42:27.461368 - Loading 1 new model
2024-11-28T10:42:29.572470 - loaded completely 0.0 4935.9311599731445 True
2024-11-28T10:42:29.582155 - 
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2024-11-28T10:42:29.595935 - !!! Exception during processing !!! mat1 and mat2 shapes cannot be multiplied (1x3584 and 5632x1280)
2024-11-28T10:42:29.597098 - Traceback (most recent call last):
  File "D:\Project\ComfyUI\execution.py", line 323, 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 "D:\Project\ComfyUI\execution.py", line 198, 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 "D:\Project\ComfyUI\execution.py", line 169, in _map_node_over_list
    process_inputs(input_dict, i)
  File "D:\Project\ComfyUI\execution.py", line 158, in process_inputs
    results.append(getattr(obj, func)(**inputs))
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 591, in doit
    enhanced_img, cropped_enhanced, cropped_enhanced_alpha, mask, cnet_pil_list = FaceDetailer.enhance_face(
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 547, in enhance_face
    DetailerForEach.do_detail(image, segs, model, clip, vae, guide_size, guide_size_for_bbox, max_size, seed, steps, cfg,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 323, in do_detail
    enhanced_image, cnet_pils = core.enhance_detail(cropped_image, model, clip, vae, guide_size, guide_size_for_bbox, max_size,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\core.py", line 364, in enhance_detail
    refined_latent = impact_sampling.ksampler_wrapper(model2, seed2, steps2, cfg2, sampler_name2, scheduler2, positive2, negative2,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 243, in ksampler_wrapper
    refined_latent = separated_sample(model, True, seed, advanced_steps, cfg, sampler_name, scheduler,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 216, in separated_sample
    res = sample_with_custom_noise(model, add_noise, seed, cfg, positive, negative, impact_sampler, sigmas, latent_image, noise=noise, callback=callback)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 160, in sample_with_custom_noise
    samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 420, in motion_sample
    return orig_comfy_sample(model, noise, *args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\sampling.py", line 116, in acn_sample
    return orig_comfy_sample(model, *args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 117, in uncond_multiplier_check_cn_sample
    return orig_comfy_sample(model, *args, **kwargs)
  File "D:\Project\ComfyUI\comfy\sample.py", line 48, in sample_custom
    samples = comfy.samplers.sample(model, noise, positive, negative, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 753, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 740, in sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 719, in inner_sample
    samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\utils.py", line 34, in KSAMPLER_sample
    return orig_fn(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 624, in sample
    samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\k_diffusion\sampling.py", line 155, in sample_euler
    denoised = model(x, sigma_hat * s_in, **extra_args)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 299, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 706, in __call__
    return self.predict_noise(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 709, 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 "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 65, in sampling_function_patched
    cfg_result = x - model_options["sampler_cfg_function"](args)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 645, in automatic_cfg_function
    cond_pred = experimental_functions(cond_pred, cond_exp_method, cond_exp_value, cond_exp_normalize, self.previous_cond_pred, previous_sigma, sigma.item(), sigmax, attention_modifiers_positive, args, model_options_copy, eval_string_cond)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 457, in experimental_functions
    cond = comfy.samplers.calc_cond_batch(args["model"], [cond_to_use], args["input"], args["timestep"], tmp_model_options)[0]
  File "D:\Project\ComfyUI\comfy\samplers.py", line 228, in calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 69, in apply_model_uncond_cleanup_wrapper
    return orig_apply_model(self, *args, **kwargs)
  File "D:\Project\ComfyUI\comfy\model_base.py", line 145, in apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Kolors-MZ\hook_comfyui_kolors_v2.py", line 71, in forward
    result = super().forward(*args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\SeargeSDXL\modules\custom_sdxl_ksampler.py", line 71, in new_unet_forward
    x0 = old_unet_forward(self, x, timesteps, context, y, control, transformer_options, **kwargs)
  File "D:\Project\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 852, in forward
    emb = emb + self.label_emb(y)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
    input = module(input)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
    input = module(input)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\ops.py", line 70, in forward
    return super().forward(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\linear.py", line 116, in forward
    return F.linear(input, self.weight, self.bias)
RuntimeError: mat1 and mat2 shapes cannot be multiplied (1x3584 and 5632x1280)

2024-11-28T10:42:29.601503 - Prompt executed in 27.17 seconds
2024-11-28T10:48:22.303593 - got prompt
2024-11-28T10:48:22.585470 - 
2024-11-28T10:48:22.605366 - 0: 640x384 1 face, 12.1ms
2024-11-28T10:48:22.605912 - Speed: 1.6ms preprocess, 12.1ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 384)
2024-11-28T10:48:22.884321 - CLIP: [detailed face, detailed eyes]2024-11-28T10:48:22.884321 - 
2024-11-28T10:48:22.884321 - Requested to load SD3ClipModel_
2024-11-28T10:48:22.884321 - Loading 1 new model
2024-11-28T10:48:25.514873 - loaded completely 0.0 4541.693359375 True
2024-11-28T10:48:25.727239 - Detailer: segment upscale for ((102.4639, 141.64877)) | crop region (307, 424) x 2.4151071934146624 -> (741, 1024)2024-11-28T10:48:25.727239 - 
2024-11-28T10:48:25.788059 - Requested to load AutoencoderKL
2024-11-28T10:48:25.788059 - Loading 1 new model
2024-11-28T10:48:26.170999 - loaded completely 0.0 159.55708122253418 True
2024-11-28T10:48:26.654043 - Requested to load SDXL
2024-11-28T10:48:26.654043 - Loading 1 new model
2024-11-28T10:48:29.140029 - loaded completely 0.0 4935.9311599731445 True
2024-11-28T10:48:29.151271 - 
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  0%|                                                                                           | 0/20 [00:00<?, ?it/s]2024-11-28T10:48:29.156925 - 
2024-11-28T10:48:29.162511 - !!! Exception during processing !!! mat1 and mat2 shapes cannot be multiplied (1x3584 and 5632x1280)
2024-11-28T10:48:29.162511 - Traceback (most recent call last):
  File "D:\Project\ComfyUI\execution.py", line 323, 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 "D:\Project\ComfyUI\execution.py", line 198, 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 "D:\Project\ComfyUI\execution.py", line 169, in _map_node_over_list
    process_inputs(input_dict, i)
  File "D:\Project\ComfyUI\execution.py", line 158, in process_inputs
    results.append(getattr(obj, func)(**inputs))
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 591, in doit
    enhanced_img, cropped_enhanced, cropped_enhanced_alpha, mask, cnet_pil_list = FaceDetailer.enhance_face(
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 547, in enhance_face
    DetailerForEach.do_detail(image, segs, model, clip, vae, guide_size, guide_size_for_bbox, max_size, seed, steps, cfg,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 323, in do_detail
    enhanced_image, cnet_pils = core.enhance_detail(cropped_image, model, clip, vae, guide_size, guide_size_for_bbox, max_size,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\core.py", line 364, in enhance_detail
    refined_latent = impact_sampling.ksampler_wrapper(model2, seed2, steps2, cfg2, sampler_name2, scheduler2, positive2, negative2,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 243, in ksampler_wrapper
    refined_latent = separated_sample(model, True, seed, advanced_steps, cfg, sampler_name, scheduler,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 216, in separated_sample
    res = sample_with_custom_noise(model, add_noise, seed, cfg, positive, negative, impact_sampler, sigmas, latent_image, noise=noise, callback=callback)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 160, in sample_with_custom_noise
    samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image,
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 420, in motion_sample
    return orig_comfy_sample(model, noise, *args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\sampling.py", line 116, in acn_sample
    return orig_comfy_sample(model, *args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 117, in uncond_multiplier_check_cn_sample
    return orig_comfy_sample(model, *args, **kwargs)
  File "D:\Project\ComfyUI\comfy\sample.py", line 48, in sample_custom
    samples = comfy.samplers.sample(model, noise, positive, negative, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 753, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 740, in sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 719, in inner_sample
    samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion\utils.py", line 34, in KSAMPLER_sample
    return orig_fn(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 624, in sample
    samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\k_diffusion\sampling.py", line 155, in sample_euler
    denoised = model(x, sigma_hat * s_in, **extra_args)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 299, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 706, in __call__
    return self.predict_noise(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\samplers.py", line 709, 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 "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 65, in sampling_function_patched
    cfg_result = x - model_options["sampler_cfg_function"](args)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 645, in automatic_cfg_function
    cond_pred = experimental_functions(cond_pred, cond_exp_method, cond_exp_value, cond_exp_normalize, self.previous_cond_pred, previous_sigma, sigma.item(), sigmax, attention_modifiers_positive, args, model_options_copy, eval_string_cond)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-AutomaticCFG\nodes.py", line 457, in experimental_functions
    cond = comfy.samplers.calc_cond_batch(args["model"], [cond_to_use], args["input"], args["timestep"], tmp_model_options)[0]
  File "D:\Project\ComfyUI\comfy\samplers.py", line 228, in calc_cond_batch
    output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 69, in apply_model_uncond_cleanup_wrapper
    return orig_apply_model(self, *args, **kwargs)
  File "D:\Project\ComfyUI\comfy\model_base.py", line 145, in apply_model
    model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\ComfyUI-Kolors-MZ\hook_comfyui_kolors_v2.py", line 71, in forward
    result = super().forward(*args, **kwargs)
  File "D:\Project\ComfyUI\custom_nodes\SeargeSDXL\modules\custom_sdxl_ksampler.py", line 71, in new_unet_forward
    x0 = old_unet_forward(self, x, timesteps, context, y, control, transformer_options, **kwargs)
  File "D:\Project\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 852, in forward
    emb = emb + self.label_emb(y)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
    input = module(input)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
    input = module(input)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\Project\ComfyUI\comfy\ops.py", line 70, in forward
    return super().forward(*args, **kwargs)
  File "D:\Project\ComfyUI\.venv\lib\site-packages\torch\nn\modules\linear.py", line 116, in forward
    return F.linear(input, self.weight, self.bias)
RuntimeError: mat1 and mat2 shapes cannot be multiplied (1x3584 and 5632x1280)

2024-11-28T10:48:29.162511 - Prompt executed in 6.84 seconds

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@Sxrjs2010 and others