-
-
Workflow execution failed: {'prompt_id': 'ea5e7c5c-722b-4f79-a44f-b0c160d591bf', 'node_id': '76', 'node_type': 'SharpPredictGaussiansFromMetricDepth', 'executed': ['73', '81', '59', '70', '62', '80', '60', '68', '87', '7', '89', '96', '61', '9'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 2.62 GiB\nRequested : 576.00 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 28.06 MiB\nPyTorch limit (set by user-supplied memory fraction)\n : 17179869184.00 GiB\n\nWorker traceback:\nTraceback (most recent call last):\n File "/tmp/comfyui_pvenv_dkunr1h2/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n ^^^^^^^^^^^^^^^^\n File "/workspaces/Sharp-2116/ComfyUI/comfy_api/latest/_io.py", line 1892, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/Sharp-2116/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict_gaussians_from_depth.py", line 392, in execute\n monodepth_output, _ = predictor.encode(image_resized_pt)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/Sharp-2116/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/sharp/model.py", line 2006, in encode\n monodepth_output = self.monodepth_model(image)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/Sharp-2116/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/sharp/model.py", line 1118, in forward\n decoder_features = self.monodepth_predictor.decoder(encoder_features)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/Sharp-2116/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/sharp/model.py", line 970, in forward\n features = self.fusions[i](features, features_i)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/Sharp-2116/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/sharp/model.py", line 860, in forward\n x = self.resnet2(x)\n ^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/Sharp-2116/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/sharp/model.py", line 766, in forward\n delta_x = self.residual(x)\n ^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/container.py", line 253, in forward\n input = module(input)\n ^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/modules/activation.py", line 143, in forward\n return F.relu(input, inplace=self.inplace)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/tmp/comfytest-home/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/nn/functional.py", line 1721, in relu\n result = torch.relu(input)\n ^^^^^^^^^^^^^^^^^\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 2.62 GiB\nRequested : 576.00 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 28.06 MiB\nPyTorch limit (set by user-supplied memory fraction)\n : 17179869184.00 GiB\n\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File "/workspaces/Sharp-2116/ComfyUI/execution.py", line 536, 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 "/workspaces/Sharp-2116/ComfyUI/execution.py", line 336, 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 "/workspaces/Sharp-2116/ComfyUI/execution.py", line 310, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/workspaces/Sharp-2116/ComfyUI/execution.py", line 298, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n', ' File "/workspaces/Sharp-2116/.venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n ^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/Sharp-2116/.venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'snap_to_external_depth': ['none'], 'depth_convention': ['planar_z'], 'focal_length_mm': [30], 'output_prefix': ['sharp_aligned'], 'save_background_layer': [True], 'edge_crop': [0], 'model': ["{'model_path': '/workspaces/Sharp-2116/ComfyUI/models/sharp/sharp_2572gikvuh.pt', 'precision': 'auto', 'dtype': 'bf16'}"], 'image': ['tensor([[[[0.2295, 0.1593, 0.1320],\n [0.2225, 0.1553, 0.1284],\n [0.2150, 0.1509, 0.1239],\n ...,\n [0.2200, 0.1668, 0.1292],\n [0.2211, 0.1688, 0.1288],\n [0.2225, 0.1713, 0.1286]],\n\n [[0.2374, 0.1658, 0.1388],\n [0.2252, 0.1560, 0.1298],\n [0.2171, 0.1502, 0.1235],\n ...,\n [0.2197, 0.1685, 0.1281],\n [0.2201, 0.1689, 0.1268],\n [0.2212, 0.1701, 0.1276]],\n\n [[0.2464, 0.1742, 0.1473],\n [0.2275, 0.1569, 0.1334],\n [0.2201, 0.1510, 0.1257],\n ...,\n [0.2234, 0.1717, 0.1320],\n [0.2229, 0.1719, 0.1304],\n [0.2228, 0.1719, 0.1311]],\n\n ...,\n\n [[0.3665, 0.2781, 0.2253],\n [0.3601, 0.2719, 0.2171],\n [0.3566, 0.2677, 0.2108],\n ...,\n [0.2097, 0.1555, 0.1290],\n [0.2147, 0.1605, 0.1336],\n [0.2204, 0.1663, 0.1390]],\n\n [[0.3594, 0.2736, 0.2191],\n [0.3577, 0.2701, 0.2141],\n [0.3563, 0.2668, 0.2093],\n ...,\n [0.2086, 0.1535, 0.1266],\n [0.2103, 0.1553, 0.1273],\n [0.2180, 0.1627, 0.1350]],\n\n [[0.3578, 0.2721, 0.2183],\n [0.3595, 0.2715, 0.2161],\n [0.3605, 0.2708, 0.2139],\n ...,\n [0.2117, 0.1558, 0.1290],\n [0.2083, 0.1533, 0.1242],\n [0.2139, 0.1583, 0.1295]]],\n\n\n [[[0.2412, 0.1888, 0.1523],\n [0.2363, 0.1820, 0.1465],\n [0.2291, 0.1742, 0.1387],\n ...,\n [0.1693, 0.1221, 0.0941],\n [0.1688, 0.1234, 0.0941],\n [0.1683, 0.1251, 0.0937]],\n\n [[0.2309, 0.1833, 0.1445],\n [0.2265, 0.1767, 0.1392],\n [0.2219, 0.1697, 0.1337],\n ...,\n [0.1713, 0.1232, 0.0947],\n [0.1691, 0.1248, 0.0949],\n [0.1661, 0.1253, 0.0936]],\n\n [[0.2208, 0.1714, 0.1346],\n [0.2167, 0.1676, 0.1308],\n [0.2142, 0.1646, 0.1283],\n ...,\n [0.1714, 0.1250, 0.0977],\n [0.1672, 0.1255, 0.0958],\n [0.1650, 0.1273, 0.0962]],\n\n ...,\n\n [[0.0963, 0.0708, 0.0621],\n [0.0980, 0.0710, 0.0624],\n [0.0989, 0.0702, 0.0622],\n ...,\n [0.0971, 0.0777, 0.0620],\n [0.0962, 0.0750, 0.0593],\n [0.0958, 0.0745, 0.0588]],\n\n [[0.1054, 0.0740, 0.0679],\n [0.1094, 0.0769, 0.0696],\n [0.1044, 0.0721, 0.0642],\n ...,\n [0.0973, 0.0776, 0.0619],\n [0.0959, 0.0744, 0.0588],\n [0.0945, 0.0715, 0.0558]],\n\n [[0.1072, 0.0748, 0.0688],\n [0.1138, 0.0799, 0.0721],\n [0.0975, 0.0648, 0.0569],\n ...,\n [0.0981, 0.0783, 0.0627],\n [0.0970, 0.0759, 0.0603],\n [0.0963, 0.0736, 0.0579]]],\n\n\n [[[0.0865, 0.0314, 0.0133],\n [0.0866, 0.0314, 0.0165],\n [0.0868, 0.0314, 0.0195],\n ...,\n [0.2040, 0.1495, 0.1230],\n [0.2041, 0.1514, 0.1244],\n [0.2042, 0.1528, 0.1257]],\n\n [[0.0881, 0.0317, 0.0138],\n [0.0879, 0.0314, 0.0155],\n [0.0881, 0.0314, 0.0181],\n ...,\n [0.2048, 0.1499, 0.1252],\n [0.2053, 0.1522, 0.1266],\n [0.2065, 0.1523, 0.1270]],\n\n [[0.0905, 0.0333, 0.0176],\n [0.0892, 0.0314, 0.0152],\n [0.0893, 0.0314, 0.0173],\n ...,\n [0.2061, 0.1509, 0.1274],\n [0.2072, 0.1528, 0.1284],\n [0.2087, 0.1523, 0.1282]],\n\n ...,\n\n [[0.1964, 0.1389, 0.1240],\n [0.1976, 0.1409, 0.1305],\n [0.1976, 0.1419, 0.1358],\n ...,\n [0.1501, 0.1145, 0.0873],\n [0.1625, 0.1256, 0.0971],\n [0.1701, 0.1327, 0.1036]],\n\n [[0.1935, 0.1386, 0.1295],\n [0.1939, 0.1405, 0.1341],\n [0.1910, 0.1400, 0.1334],\n ...,\n [0.1437, 0.1112, 0.0853],\n [0.1518, 0.1172, 0.0883],\n [0.1623, 0.1267, 0.0961]],\n\n [[0.1916, 0.1419, 0.1339],\n [0.1899, 0.1417, 0.1342],\n [0.1878, 0.1407, 0.1311],\n ...,\n [0.1386, 0.1090, 0.0864],\n [0.1440, 0.1114, 0.0831],\n [0.1536, 0.1179, 0.0862]]],\n\n\n ...,\n\n\n [[[0.2294, 0.1672, 0.1355],\n [0.2236, 0.1641, 0.1311],\n [0.2163, 0.1611, 0.1260],\n ...,\n [0.0688, 0.0239, 0.0121],\n [0.0751, 0.0308, 0.0191],\n [0.0801, 0.0350, 0.0240]],\n\n [[0.2258, 0.1632, 0.1318],\n [0.2212, 0.1602, 0.1280],\n [0.2155, 0.1576, 0.1238],\n ...,\n [0.0730, 0.0270, 0.0153],\n [0.0816, 0.0358, 0.0241],\n [0.0889, 0.0432, 0.0316]],\n\n [[0.2235, 0.1605, 0.1294],\n [0.2195, 0.1567, 0.1254],\n [0.2152, 0.1542, 0.1219],\n ...,\n [0.0763, 0.0296, 0.0178],\n [0.0868, 0.0395, 0.0278],\n [0.0909, 0.0423, 0.0316]],\n\n ...,\n\n [[0.1235, 0.0549, 0.0451],\n [0.1233, 0.0549, 0.0448],\n [0.1227, 0.0535, 0.0432],\n ...,\n [0.1183, 0.0819, 0.0830],\n [0.1113, 0.0793, 0.0789],\n [0.1014, 0.0748, 0.0719]],\n\n [[0.1236, 0.0549, 0.0452],\n [0.1247, 0.0549, 0.0463],\n [0.1253, 0.0533, 0.0439],\n ...,\n [0.1214, 0.0827, 0.0828],\n [0.1186, 0.0829, 0.0829],\n [0.1125, 0.0810, 0.0798]],\n\n [[0.1240, 0.0545, 0.0453],\n [0.1239, 0.0523, 0.0452],\n [0.1252, 0.0507, 0.0419],\n ...,\n [0.1300, 0.0895, 0.0867],\n [0.1250, 0.0864, 0.0856],\n [0.1221, 0.0860, 0.0860]]],\n\n\n [[[0.2006, 0.1485, 0.1144],\n [0.1982, 0.1450, 0.1119],\n [0.1947, 0.1413, 0.1084],\n ...,\n [0.1985, 0.1450, 0.1208],\n [0.1962, 0.1463, 0.1195],\n [0.1968, 0.1490, 0.1210]],\n\n [[0.2008, 0.1498, 0.1145],\n [0.1966, 0.1450, 0.1103],\n [0.1936, 0.1420, 0.1073],\n ...,\n [0.1978, 0.1447, 0.1185],\n [0.1947, 0.1452, 0.1164],\n [0.1947, 0.1475, 0.1173]],\n\n [[0.1994, 0.1475, 0.1122],\n [0.1931, 0.1421, 0.1068],\n [0.1919, 0.1402, 0.1047],\n ...,\n [0.1988, 0.1479, 0.1179],\n [0.1966, 0.1495, 0.1167],\n [0.1974, 0.1489, 0.1185]],\n\n ...,\n\n [[0.0689, 0.0305, 0.0157],\n [0.0718, 0.0353, 0.0193],\n [0.0746, 0.0403, 0.0233],\n ...,\n [0.1382, 0.1091, 0.1143],\n [0.1269, 0.0988, 0.0973],\n [0.1322, 0.1058, 0.0998]],\n\n [[0.0783, 0.0366, 0.0174],\n [0.0817, 0.0428, 0.0229],\n [0.0855, 0.0496, 0.0291],\n ...,\n [0.1647, 0.1395, 0.1542],\n [0.1109, 0.0874, 0.0919],\n [0.1014, 0.0805, 0.0808]],\n\n [[0.0970, 0.0558, 0.0313],\n [0.0995, 0.0608, 0.0361],\n [0.1021, 0.0648, 0.0402],\n ...,\n [0.3396, 0.3138, 0.3366],\n [0.2739, 0.2498, 0.2654],\n [0.2146, 0.1927, 0.2023]]],\n\n\n [[[0.1389, 0.0976, 0.0712],\n [0.1365, 0.0967, 0.0673],\n [0.1362, 0.0969, 0.0657],\n ...,\n [0.2057, 0.1441, 0.1224],\n [0.2057, 0.1430, 0.1196],\n [0.2062, 0.1427, 0.1187]],\n\n [[0.1367, 0.0942, 0.0694],\n [0.1352, 0.0938, 0.0645],\n [0.1350, 0.0940, 0.0613],\n ...,\n [0.1922, 0.1319, 0.1134],\n [0.1958, 0.1341, 0.1133],\n [0.1963, 0.1337, 0.1112]],\n\n [[0.1350, 0.0907, 0.0636],\n [0.1350, 0.0922, 0.0605],\n [0.1356, 0.0928, 0.0585],\n ...,\n [0.1870, 0.1274, 0.1097],\n [0.1912, 0.1293, 0.1101],\n [0.1962, 0.1330, 0.1118]],\n\n ...,\n\n [[0.1043, 0.0973, 0.0717],\n [0.1044, 0.0976, 0.0753],\n [0.1046, 0.0980, 0.0794],\n ...,\n [0.4337, 0.2547, 0.1783],\n [0.4269, 0.2507, 0.1767],\n [0.4135, 0.2373, 0.1657]],\n\n [[0.1020, 0.0964, 0.0675],\n [0.1027, 0.0973, 0.0730],\n [0.1029, 0.0969, 0.0766],\n ...,\n [0.4263, 0.2455, 0.1721],\n [0.4254, 0.2492, 0.1784],\n [0.4090, 0.2359, 0.1668]],\n\n [[0.1001, 0.0961, 0.0648],\n [0.1015, 0.0976, 0.0721],\n [0.1008, 0.0949, 0.0734],\n ...,\n [0.4201, 0.2376, 0.1669],\n [0.4196, 0.2416, 0.1739],\n [0.4068, 0.2344, 0.1683]]]])'], 'metric_depth_layer0': ['tensor([[[[0.5945, 0.5945, 0.5945],\n [0.5944, 0.5944, 0.5944],\n [0.5944, 0.5944, 0.5944],\n ...,\n [0.5005, 0.5005, 0.5005],\n [0.5000, 0.5000, 0.5000],\n [0.4995, 0.4995, 0.4995]],\n\n [[0.5949, 0.5949, 0.5949],\n [0.5949, 0.5949, 0.5949],\n [0.5948, 0.5948, 0.5948],\n ...,\n [0.5001, 0.5001, 0.5001],\n [0.4996, 0.4996, 0.4996],\n [0.4992, 0.4992, 0.4992]],\n\n [[0.5954, 0.5954, 0.5954],\n [0.5953, 0.5953, 0.5953],\n [0.5953, 0.5953, 0.5953],\n ...,\n [0.4998, 0.4998, 0.4998],\n [0.4993, 0.4993, 0.4993],\n [0.4988, 0.4988, 0.4988]],\n\n ...,\n\n [[0.8991, 0.8991, 0.8991],\n [0.8956, 0.8956, 0.8956],\n [0.8923, 0.8923, 0.8923],\n ...,\n [0.2245, 0.2245, 0.2245],\n [0.2244, 0.2244, 0.2244],\n [0.2243, 0.2243, 0.2243]],\n\n [[0.8969, 0.8969, 0.8969],\n [0.8935, 0.8935, 0.8935],\n [0.8901, 0.8901, 0.8901],\n ...,\n [0.2245, 0.2245, 0.2245],\n [0.2243, 0.2243, 0.2243],\n [0.2242, 0.2242, 0.2242]],\n\n [[0.8947, 0.8947, 0.8947],\n [0.8913, 0.8913, 0.8913],\n [0.8880, 0.8880, 0.8880],\n ...,\n [0.2244, 0.2244, 0.2244],\n [0.2243, 0.2243, 0.2243],\n [0.2241, 0.2241, 0.2241]]],\n\n\n [[[0.4448, 0.4448, 0.4448],\n [0.4452, 0.4452, 0.4452],\n [0.4456, 0.4456, 0.4456],\n ...,\n [0.6041, 0.6041, 0.6041],\n [0.6041, 0.6041, 0.6041],\n [0.6042, 0.6042, 0.6042]],\n\n [[0.4453, 0.4453, 0.4453],\n [0.4457, 0.4457, 0.4457],\n [0.4461, 0.4461, 0.4461],\n ...,\n [0.6044, 0.6044, 0.6044],\n [0.6045, 0.6045, 0.6045],\n [0.6045, 0.6045, 0.6045]],\n\n [[0.4458, 0.4458, 0.4458],\n [0.4462, 0.4462, 0.4462],\n [0.4465, 0.4465, 0.4465],\n ...,\n [0.6048, 0.6048, 0.6048],\n [0.6048, 0.6048, 0.6048],\n [0.6049, 0.6049, 0.6049]],\n\n ...,\n\n [[0.8155, 0.8155, 0.8155],\n [0.8161, 0.8161, 0.8161],\n [0.8167, 0.8167, 0.8167],\n ...,\n [0.9889, 0.9889, 0.9889],\n [0.9884, 0.9884, 0.9884],\n [0.9879, 0.9879, 0.9879]],\n\n [[0.8152, 0.8152, 0.8152],\n [0.8158, 0.8158, 0.8158],\n [0.8164, 0.8164, 0.8164],\n ...,\n [0.9884, 0.9884, 0.9884],\n [0.9879, 0.9879, 0.9879],\n [0.9874, 0.9874, 0.9874]],\n\n [[0.8149, 0.8149, 0.8149],\n [0.8155, 0.8155, 0.8155],\n [0.8161, 0.8161, 0.8161],\n ...,\n [0.9880, 0.9880, 0.9880],\n [0.9875, 0.9875, 0.9875],\n [0.9870, 0.9870, 0.9870]]],\n\n\n [[[0.6090, 0.6090, 0.6090],\n [0.6092, 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-
-Details:
-Workflow: /node/ComfyUI-Sharp/workflows/pano.json
-Node error: SharpPredictGaussiansFromMetricDepth
-
+