{
"prompt_id": "a541fc4e-c412-40fd-82b7-053bf433ebdc",
"node_id": "Sampler",
"node_type": "KSampler",
"executed": [
"LayerDiffuseApply_Base"
],
"exception_message": "\u0027NoneType\u0027 object is not subscriptable\n",
"exception_type": "TypeError",
"traceback": [
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\execution.py\u0022, line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\execution.py\u0022, line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\execution.py\u0022, line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\execution.py\u0022, line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\nodes.py\u0022, line 1607, in sample\n return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\nodes.py\u0022, line 1571, in common_ksampler\n samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\sample.py\u0022, line 74, in sample\n 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)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\samplers.py\u0022, line 1461, in sample\n 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)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\samplers.py\u0022, line 1351, in sample\n return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\samplers.py\u0022, line 1333, in sample\n output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\patcher_extension.py\u0022, line 113, in execute\n return self.original(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\samplers.py\u0022, line 1239, in outer_sample\n self.inner_model, self.conds, self.loaded_models = comfy.sampler_helpers.prepare_sampling(self.model_patcher, noise.shape, self.conds, self.model_options)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\sampler_helpers.py\u0022, line 186, in prepare_sampling\n return executor.execute(model, noise_shape, conds, model_options=model_options, force_full_load=force_full_load, force_offload=force_offload)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\patcher_extension.py\u0022, line 113, in execute\n return self.original(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\sampler_helpers.py\u0022, line 201, in _prepare_sampling\n comfy.model_management.load_models_gpu([model] \u002B models, memory_required=memory_required, minimum_memory_required=minimum_memory_required, force_full_load=force_full_load)\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_management.py\u0022, line 996, in load_models_gpu\n loaded_model.model_load(lowvram_model_memory, force_patch_weights=force_patch_weights)\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_management.py\u0022, line 782, in model_load\n self.model_use_more_vram(use_more_vram, force_patch_weights=force_patch_weights)\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_management.py\u0022, line 810, in model_use_more_vram\n return self.model.partially_load(self.device, extra_memory, force_patch_weights=force_patch_weights)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_patcher.py\u0022, line 2117, in partially_load\n raise e\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_patcher.py\u0022, line 2114, in partially_load\n self.load(device_to, dirty=dirty)\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_patcher.py\u0022, line 1952, in load\n force_load_param(self, \u0022weight\u0022, device_to)\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_patcher.py\u0022, line 1925, in force_load_param\n self.patch_weight_to_device(key, device_to=device_to, force_cast=True)\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_patcher.py\u0022, line 909, in patch_weight_to_device\n out_weight = comfy.lora.calculate_weight(self.patches[key], temp_weight, key) if key in self.patches else temp_weight\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\lora.py\u0022, line 478, in calculate_weight\n do_pad_weight = len(v) \u003E 1 and v[1][\u0027pad_weight\u0027]\n ~~~~^^^^^^^^^^^^^^\n"
],
"current_inputs": {
"model": [
"\u003Ccomfy.model_patcher.ModelPatcherDynamic object at 0x000002891AD11AF0\u003E"
],
"seed": [
272611925
],
"steps": [
30
],
"cfg": [
5.0
],
"sampler_name": [
"euler_ancestral"
],
"scheduler": [
"normal"
],
"positive": [
"[[tensor([[[-0.2406, 0.0682, 0.1726, ..., -0.2268, -0.1191, -0.1754],\n [-0.0548, 0.0326, -0.0570, ..., 0.0806, -0.1218, 0.0525],\n [-0.0175, -0.0357, 0.0161, ..., 0.0357, 0.0912, -0.1596],\n ...,\n [ 0.0529, -0.0483, 0.0244, ..., 0.1869, 0.1844, 0.0011],\n [ 0.0531, -0.0412, 0.0235, ..., -0.1291, -0.2738, 0.0749],\n [ 0.0850, -0.0419, 0.0150, ..., -0.3493, -0.0317, 0.0015]]]), {\u0027pooled_output\u0027: tensor([[ 0.0389, -0.1552, -0.1661, ..., -0.1925, -0.2490, -0.4093]])}]]"
],
"negative": [
"[[tensor([[[-0.2406, 0.0682, 0.1726, ..., -0.2268, -0.1191, -0.1754],\n [-0.0348, -0.0016, -0.0048, ..., -0.0652, -0.0239, 0.0362],\n [-0.0287, 0.0015, 0.0305, ..., -0.0628, 0.0032, 0.0762],\n ...,\n [ 0.0445, -0.0393, 0.0292, ..., 0.0922, 0.2283, -0.0290],\n [ 0.0446, -0.0322, 0.0282, ..., -0.2159, -0.3682, 0.0533],\n [ 0.0767, -0.0329, 0.0212, ..., -0.4136, -0.0236, -0.0403]]]), {\u0027pooled_output\u0027: tensor([[ 0.0740, -0.4341, 0.0378, ..., -0.3666, -0.6477, -0.3360]])}]]"
],
"latent_image": [
"{\u0027samples\u0027: tensor([[[[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]]]]), \u0027downscale_ratio_spacial\u0027: 8}"
],
"denoise": [
1.0
]
},
"current_outputs": [
"CheckpointLoader_Base",
"EmptyLatentImage",
"Sampler",
"NegativeCLIP_Base",
"VAEDecode_1",
"LayerDiffuseApply_Base",
"SaveImage",
"LayerDiffuseApply_Refiner",
"CLIP_Skip_Base",
"PositiveCLIP_Base",
"LayerDiffuseDecode"
],
"timestamp": 1786086443156
}
What happened?
Error when using the Layer Diffuse (SDXL) option. I am using the recommended Nova Anime XL model.
Exception Details
Error message
{ "prompt_id": "a541fc4e-c412-40fd-82b7-053bf433ebdc", "node_id": "Sampler", "node_type": "KSampler", "executed": [ "LayerDiffuseApply_Base" ], "exception_message": "\u0027NoneType\u0027 object is not subscriptable\n", "exception_type": "TypeError", "traceback": [ " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\execution.py\u0022, line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\execution.py\u0022, line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\execution.py\u0022, line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\execution.py\u0022, line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\nodes.py\u0022, line 1607, in sample\n return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\nodes.py\u0022, line 1571, in common_ksampler\n samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\sample.py\u0022, line 74, in sample\n 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)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\samplers.py\u0022, line 1461, in sample\n 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)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\samplers.py\u0022, line 1351, in sample\n return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\samplers.py\u0022, line 1333, in sample\n output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\patcher_extension.py\u0022, line 113, in execute\n return self.original(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\samplers.py\u0022, line 1239, in outer_sample\n self.inner_model, self.conds, self.loaded_models = comfy.sampler_helpers.prepare_sampling(self.model_patcher, noise.shape, self.conds, self.model_options)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\sampler_helpers.py\u0022, line 186, in prepare_sampling\n return executor.execute(model, noise_shape, conds, model_options=model_options, force_full_load=force_full_load, force_offload=force_offload)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\patcher_extension.py\u0022, line 113, in execute\n return self.original(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\sampler_helpers.py\u0022, line 201, in _prepare_sampling\n comfy.model_management.load_models_gpu([model] \u002B models, memory_required=memory_required, minimum_memory_required=minimum_memory_required, force_full_load=force_full_load)\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_management.py\u0022, line 996, in load_models_gpu\n loaded_model.model_load(lowvram_model_memory, force_patch_weights=force_patch_weights)\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_management.py\u0022, line 782, in model_load\n self.model_use_more_vram(use_more_vram, force_patch_weights=force_patch_weights)\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_management.py\u0022, line 810, in model_use_more_vram\n return self.model.partially_load(self.device, extra_memory, force_patch_weights=force_patch_weights)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_patcher.py\u0022, line 2117, in partially_load\n raise e\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_patcher.py\u0022, line 2114, in partially_load\n self.load(device_to, dirty=dirty)\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_patcher.py\u0022, line 1952, in load\n force_load_param(self, \u0022weight\u0022, device_to)\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_patcher.py\u0022, line 1925, in force_load_param\n self.patch_weight_to_device(key, device_to=device_to, force_cast=True)\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\model_patcher.py\u0022, line 909, in patch_weight_to_device\n out_weight = comfy.lora.calculate_weight(self.patches[key], temp_weight, key) if key in self.patches else temp_weight\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\StabilityMatrix\\Packages\\ComfyUI\\comfy\\lora.py\u0022, line 478, in calculate_weight\n do_pad_weight = len(v) \u003E 1 and v[1][\u0027pad_weight\u0027]\n ~~~~^^^^^^^^^^^^^^\n" ], "current_inputs": { "model": [ "\u003Ccomfy.model_patcher.ModelPatcherDynamic object at 0x000002891AD11AF0\u003E" ], "seed": [ 272611925 ], "steps": [ 30 ], "cfg": [ 5.0 ], "sampler_name": [ "euler_ancestral" ], "scheduler": [ "normal" ], "positive": [ "[[tensor([[[-0.2406, 0.0682, 0.1726, ..., -0.2268, -0.1191, -0.1754],\n [-0.0548, 0.0326, -0.0570, ..., 0.0806, -0.1218, 0.0525],\n [-0.0175, -0.0357, 0.0161, ..., 0.0357, 0.0912, -0.1596],\n ...,\n [ 0.0529, -0.0483, 0.0244, ..., 0.1869, 0.1844, 0.0011],\n [ 0.0531, -0.0412, 0.0235, ..., -0.1291, -0.2738, 0.0749],\n [ 0.0850, -0.0419, 0.0150, ..., -0.3493, -0.0317, 0.0015]]]), {\u0027pooled_output\u0027: tensor([[ 0.0389, -0.1552, -0.1661, ..., -0.1925, -0.2490, -0.4093]])}]]" ], "negative": [ "[[tensor([[[-0.2406, 0.0682, 0.1726, ..., -0.2268, -0.1191, -0.1754],\n [-0.0348, -0.0016, -0.0048, ..., -0.0652, -0.0239, 0.0362],\n [-0.0287, 0.0015, 0.0305, ..., -0.0628, 0.0032, 0.0762],\n ...,\n [ 0.0445, -0.0393, 0.0292, ..., 0.0922, 0.2283, -0.0290],\n [ 0.0446, -0.0322, 0.0282, ..., -0.2159, -0.3682, 0.0533],\n [ 0.0767, -0.0329, 0.0212, ..., -0.4136, -0.0236, -0.0403]]]), {\u0027pooled_output\u0027: tensor([[ 0.0740, -0.4341, 0.0378, ..., -0.3666, -0.6477, -0.3360]])}]]" ], "latent_image": [ "{\u0027samples\u0027: tensor([[[[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]]]]), \u0027downscale_ratio_spacial\u0027: 8}" ], "denoise": [ 1.0 ] }, "current_outputs": [ "CheckpointLoader_Base", "EmptyLatentImage", "Sampler", "NegativeCLIP_Base", "VAEDecode_1", "LayerDiffuseApply_Base", "SaveImage", "LayerDiffuseApply_Refiner", "CLIP_Skip_Base", "PositiveCLIP_Base", "LayerDiffuseDecode" ], "timestamp": 1786086443156 }Version
v2.16.2
What Operating System are you using?
Windows