Скриншот узла ComfyUI, Сэм
GroundingDino Model list_screenshot
При загрузке LayerMask: SegmentAnythingUltraV2 модель не загружается в Replication из Hugging Face, что указывает на отсутствие подключения для загрузки модели. Я также попробовал изменить название модели в файле Weight.json, но это не сработало.
Код: Выделить всё
There was an error executing your workflow: { "type": "execution_error", "data": { "prompt_id": "7606f994-3f69-4a77-a299-d91f1b1c757d", "node_id": "1", "node_type": "LayerMask: SegmentAnythingUltra V2", "executed": [ "187", "255", "2", "268", "269", "258", "257", "267" ], "exception_message": "We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like bert-base-uncased is not the path to a directory containing a file named config.json.\nCheckout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.", "exception_type": "OSError", "traceback": [ " File \"/src/ComfyUI/execution.py\", line 323, in execute\n 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)\n", " File \"/src/ComfyUI/execution.py\", line 198, in get_output_data\n 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)\n", " File \"/src/ComfyUI/execution.py\", line 169, in _map_node_over_list\n process_inputs(input_dict, i)\n", " File \"/src/ComfyUI/execution.py\", line 158, in process_inputs\n results.append(getattr(obj, func)(**inputs))\n", " File \"/src/ComfyUI/custom_nodes/ComfyUI_LayerStyle/py/segment_anything_ultra_v2.py\", line 64, in segment_anything_ultra_v2\n DINO_MODEL = load_groundingdino_model(grounding_dino_model)\n", " File \"/src/ComfyUI/custom_nodes/ComfyUI_LayerStyle/py/segment_anything_func.py\", line 119, in load_groundingdino_model\n dino = local_groundingdino_build_model(dino_model_args)\n", " File \"/src/ComfyUI/custom_nodes/ComfyUI_LayerStyle/py/local_groundingdino/models/__init__.py\", line 17, in build_model\n model = build_func(args)\n", " File \"/src/ComfyUI/custom_nodes/ComfyUI_LayerStyle/py/local_groundingdino/models/GroundingDINO/groundingdino.py\", line 362, in build_groundingdino\n model = GroundingDINO(\n", " File \"/src/ComfyUI/custom_nodes/ComfyUI_LayerStyle/py/local_groundingdino/models/GroundingDINO/groundingdino.py\", line 97, in __init__\n self.tokenizer = get_tokenlizer.get_tokenlizer(text_encoder_type)\n", " File \"/src/ComfyUI/custom_nodes/ComfyUI_LayerStyle/py/local_groundingdino/util/get_tokenlizer.py\", line 19, in get_tokenlizer\n tokenizer = AutoTokenizer.from_pretrained(text_encoder_type)\n", " File \"/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py\", line 864, in from_pretrained\n config = AutoConfig.from_pretrained(\n", " File \"/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py\", line 1006, in from_pretrained\n config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)\n", " File \"/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/configuration_utils.py\", line 567, in get_config_dict\n config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)\n", " File \"/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/configuration_utils.py\", line 626, in _get_config_dict\n resolved_config_file = cached_file(\n", " File \"/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/transformers/utils/hub.py\", line 446, in cached_file\n raise EnvironmentError(\n" ], "current_inputs": { "sam_model": [ "sam_vit_h (2.56GB)" ], "grounding_dino_model": [ "GroundingDINO_SwinT_OGC (694MB)" ], "threshold": [ 0.3 ], "detail_method": [ "VITMatte" ], "detail_erode": [ 35 ], "detail_dilate": [ 6 ], "black_point": [ 0.15 ], "white_point": [ 0.99 ], "process_detail": [ true ], "prompt": [ "clothes" ], "device": [ "cuda" ], "max_megapixels": [ 2.0 ], "image": [ "tensor([[[[1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000],\n ...,\n [1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000]],\n\n [[1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000],\n ...,\n [1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000]],\n\n [[1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000],\n ...,\n [1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000],\n [1.0000, 1.0000, 1.0000]],\n\n ...,\n\n [[0.8667, 0.8510, 0.9059],\n [0.8667, 0.8510, 0.9059],\n [0.8627, 0.8510, 0.9020],\n ...,\n [0.8392, 0.8235, 0.8745],\n [0.8431, 0.8235, 0.8784],\n [0.8431, 0.8275, 0.8824]],\n\n [[0.8627, 0.8510, 0.9020],\n [0.8627, 0.8510, 0.9020],\n [0.8627, 0.8510, 0.9020],\n ...,\n [0.8431, 0.8275, 0.8745],\n [0.8471, 0.8235, 0.8784],\n [0.8392, 0.8235, 0.8745]],\n\n [[0.8549, 0.8471, 0.8941],\n [0.8588, 0.8510, 0.9059],\n [0.8627, 0.8471, 0.9098],\n ...,\n [0.8431, 0.8275, 0.8784],\n [0.8431, 0.8314, 0.8745],\n [0.8392, 0.8235, 0.8667]]]])" ] }, "current_outputs": [ "1", "54", "255", "266", "256", "280", "9", "202", "4", "201", "177", "56", "63", "7", "151", "163", "166", "263", "13", "180", "146", "19", "171", "68", "183", "197", "100", "178", "52", "187", "103", "173", "181", "129", "259", "58", "165", "269", "199", "61", "44", "62", "150", "46", "179", "47", "65", "261", "102", "184", "39", "2", "268", "149", "260", "69", "53", "257", "66", "168", "258", "267", "264", "271", "167", "20" ], "timestamp": 1727868596646 } }Подробнее здесь: https://stackoverflow.com/questions/790 ... sk-segment
