{ "timestamp": "2026-05-15T11:55:52.587968+00:00", "platform": "linux", "hardware": { "os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060" }, "commit_hash": "a48aaabdf18a46526c65d24ade8fed8a657bd306", "run_url": "https://github.com/PozzettiAndrea/comfy-gpu-ci/actions/runs/25915382763", "success": false, "summary": { "total": 7, "passed": 5, "failed": 2 }, "workflows": [ { "name": "advanced", "status": "pass", "duration_seconds": 33.39, "error": null, "hardware": { "os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060" }, "resources": { "ram": { "peak": 3.69, "avg": 2.07 }, "total_ram_gb": 23.4, "samples": 33, "vram": { "peak": 2.82, "avg": 0.51 } } }, { "name": "advanced_3d", "status": "pass", "duration_seconds": 15.21, "error": null, "hardware": { "os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060" }, "resources": { "ram": { "peak": 3.79, "avg": 2.43 }, "total_ram_gb": 23.4, "samples": 15, "vram": { "peak": 2.17, "avg": 0.69 } } }, { "name": "advanced_3d_multiview", "status": "pass", "duration_seconds": 14.93, "error": null, "hardware": { "os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060" }, "resources": { "ram": { "peak": 3.79, "avg": 3.17 }, "total_ram_gb": 23.4, "samples": 15, "vram": { "peak": 3.04, "avg": 1.12 } } }, { "name": "bas_relief", "status": "fail", "duration_seconds": 12.22, "error": "Workflow execution failed: {'prompt_id': '2d3655be-334f-4ddd-b69a-03c2f682e32b', 'node_id': '21', 'node_type': 'DepthAnything_V3', 'executed': ['2', '3'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.33 GiB\\nRequested : 1.27 GiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 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_c7dez6_l/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 156, in execute\\n output = model(img, extrinsics=ext_i, intrinsics=int_i, infer_gs=infer_gs)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577, in forward\\n output = self._process_depth_head(feats, H, W)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591, in _process_depth_head\\n return self.head(feats, H, W, patch_start_idx=0)\\n ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1366, in forward\\n out_dict = self._forward_impl(feats, H, W, patch_start_idx)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1419, in _forward_impl\\n fused_main = self._add_pos_embed(fused_main, W, H)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1477, in _add_pos_embed\\n pe = position_grid_to_embed(pe, x.shape[1]) * ratio\\n ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 131, in position_grid_to_embed\\n emb = torch.cat([emb_x, emb_y], dim=-1)\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.33 GiB\\nRequested : 1.27 GiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 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/DepthAnythingV3-1149/ComfyUI/execution.py\", line 535, 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/DepthAnythingV3-1149/ComfyUI/execution.py\", line 335, 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/DepthAnythingV3-1149/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1149/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/DepthAnythingV3-1149/.venv/lib/python3.13/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n module_name=mod,\\n ...<4 lines>...\\n timeout=600.0,\\n )\\n', ' File \"/workspaces/DepthAnythingV3-1149/.venv/lib/python3.13/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n ...<2 lines>...\\n )\\n'], 'current_inputs': {'normalization_mode': ['Raw'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [True], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1149/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.5922, 0.4510, 0.2863],\\n [0.5922, 0.4588, 0.2902],\\n [0.5529, 0.4235, 0.2667],\\n [0.5176, 0.3922, 0.2588],\\n [0.5059, 0.3882, 0.2706],\\n [0.4863, 0.3765, 0.2549],\\n ...,\\n [0.5608, 0.4471, 0.3059],\\n [0.5608, 0.4471, 0.3098],\\n [0.5490, 0.4471, 0.3255],\\n [0.5373, 0.4510, 0.3373],\\n [0.5176, 0.4392, 0.3216],\\n [0.5059, 0.4314, 0.3216]],\\n\\n [[0.5686, 0.4235, 0.2745],\\n [0.5451, 0.4157, 0.2627],\\n [0.5373, 0.4078, 0.2627],\\n [0.5216, 0.4000, 0.2667],\\n [0.5020, 0.3843, 0.2627],\\n [0.5020, 0.3843, 0.2706],\\n ...,\\n [0.5608, 0.4471, 0.3020],\\n [0.5647, 0.4549, 0.3098],\\n [0.5647, 0.4627, 0.3373],\\n [0.5412, 0.4549, 0.3451],\\n [0.5137, 0.4392, 0.3294],\\n [0.5020, 0.4314, 0.3255]],\\n\\n [[0.4745, 0.3529, 0.2235],\\n [0.4706, 0.3569, 0.2235],\\n [0.4745, 0.3647, 0.2392],\\n [0.4824, 0.3686, 0.2431],\\n [0.4824, 0.3686, 0.2471],\\n [0.4941, 0.3843, 0.2627],\\n ...,\\n [0.5647, 0.4471, 0.3059],\\n [0.5686, 0.4549, 0.3176],\\n [0.5529, 0.4510, 0.3255],\\n [0.5255, 0.4314, 0.3294],\\n [0.5255, 0.4471, 0.3412],\\n [0.5059, 0.4353, 0.3216]],\\n\\n [[0.4000, 0.2902, 0.1765],\\n [0.3882, 0.2863, 0.1725],\\n [0.3647, 0.2627, 0.1529],\\n [0.3961, 0.2902, 0.1804],\\n [0.4627, 0.3569, 0.2392],\\n [0.4941, 0.3882, 0.2627],\\n ...,\\n [0.5765, 0.4588, 0.3255],\\n [0.5765, 0.4667, 0.3255],\\n [0.5686, 0.4588, 0.3294],\\n [0.5451, 0.4510, 0.3333],\\n [0.5333, 0.4510, 0.3412],\\n [0.5294, 0.4471, 0.3333]],\\n\\n [[0.5098, 0.3882, 0.2627],\\n [0.5176, 0.4000, 0.2706],\\n [0.5059, 0.3843, 0.2627],\\n [0.4745, 0.3569, 0.2392],\\n [0.4706, 0.3647, 0.2431],\\n [0.4902, 0.3804, 0.2627],\\n ...,\\n [0.5804, 0.4706, 0.3373],\\n [0.5647, 0.4549, 0.3176],\\n [0.5804, 0.4627, 0.3255],\\n [0.5608, 0.4510, 0.3216],\\n [0.5294, 0.4392, 0.3216],\\n [0.5412, 0.4471, 0.3451]],\\n\\n [[0.4980, 0.3686, 0.2392],\\n [0.5490, 0.4275, 0.2863],\\n [0.5294, 0.4196, 0.2863],\\n [0.4745, 0.3569, 0.2314],\\n [0.4745, 0.3647, 0.2392],\\n [0.4980, 0.3922, 0.2667],\\n ...,\\n [0.5529, 0.4471, 0.3137],\\n [0.5569, 0.4431, 0.3137],\\n [0.5725, 0.4549, 0.3176],\\n [0.5569, 0.4471, 0.3020],\\n [0.5569, 0.4549, 0.3137],\\n [0.5451, 0.4431, 0.3294]],\\n\\n ...,\\n\\n [[0.5765, 0.4824, 0.3725],\\n [0.5725, 0.4824, 0.3686],\\n [0.5686, 0.4745, 0.3608],\\n [0.5490, 0.4471, 0.3216],\\n [0.5373, 0.4235, 0.2902],\\n [0.5294, 0.4118, 0.2784],\\n ...,\\n [0.5373, 0.4196, 0.2745],\\n [0.5765, 0.4471, 0.3020],\\n [0.5333, 0.4000, 0.2588],\\n [0.5647, 0.4353, 0.2784],\\n [0.5608, 0.4275, 0.2627],\\n [0.6000, 0.4588, 0.3059]],\\n\\n [[0.5451, 0.4471, 0.3373],\\n [0.5647, 0.4706, 0.3569],\\n [0.5608, 0.4627, 0.3490],\\n [0.5255, 0.4196, 0.2980],\\n [0.5255, 0.4078, 0.2784],\\n [0.5176, 0.3961, 0.2627],\\n ...,\\n [0.5255, 0.4039, 0.2549],\\n [0.5490, 0.4275, 0.2706],\\n [0.5333, 0.4039, 0.2510],\\n [0.5490, 0.4157, 0.2706],\\n [0.5647, 0.4314, 0.2784],\\n [0.5961, 0.4588, 0.2980]],\\n\\n [[0.5529, 0.4510, 0.3294],\\n [0.5490, 0.4431, 0.3176],\\n [0.5686, 0.4588, 0.3373],\\n [0.5412, 0.4275, 0.3059],\\n [0.5412, 0.4275, 0.2980],\\n [0.5333, 0.4157, 0.2824],\\n ...,\\n [0.5569, 0.4235, 0.2863],\\n [0.5608, 0.4353, 0.2980],\\n [0.5490, 0.4157, 0.2824],\\n [0.5608, 0.4196, 0.2863],\\n [0.5647, 0.4314, 0.2863],\\n [0.5922, 0.4588, 0.3098]],\\n\\n [[0.5294, 0.4196, 0.3059],\\n [0.5333, 0.4275, 0.2941],\\n [0.5412, 0.4235, 0.2941],\\n [0.5333, 0.4118, 0.2902],\\n [0.5373, 0.4196, 0.2941],\\n [0.5294, 0.4118, 0.2902],\\n ...,\\n [0.5765, 0.4431, 0.3137],\\n [0.5765, 0.4471, 0.3176],\\n [0.5490, 0.4118, 0.2824],\\n [0.5647, 0.4275, 0.2863],\\n [0.5765, 0.4431, 0.2941],\\n [0.5765, 0.4353, 0.2863]],\\n\\n [[0.5176, 0.4078, 0.2902],\\n [0.5412, 0.4392, 0.3098],\\n [0.5098, 0.3922, 0.2745],\\n [0.5098, 0.3922, 0.2706],\\n [0.5255, 0.4078, 0.2902],\\n [0.5137, 0.4000, 0.2824],\\n ...,\\n [0.5608, 0.4235, 0.2941],\\n [0.5765, 0.4353, 0.3059],\\n [0.5451, 0.4078, 0.2627],\\n [0.5451, 0.4078, 0.2549],\\n [0.5451, 0.4000, 0.2471],\\n [0.5255, 0.3686, 0.2157]],\\n\\n [[0.5176, 0.4196, 0.3098],\\n [0.5725, 0.4667, 0.3569],\\n [0.5490, 0.4392, 0.3294],\\n [0.5412, 0.4353, 0.3137],\\n [0.5373, 0.4275, 0.3059],\\n [0.5176, 0.4039, 0.2863],\\n ...,\\n [0.5647, 0.4314, 0.2980],\\n [0.5529, 0.4118, 0.2745],\\n [0.5098, 0.3686, 0.2196],\\n [0.5373, 0.3882, 0.2353],\\n [0.5176, 0.3647, 0.2078],\\n [0.4745, 0.3176, 0.1765]]]])']}, 'current_outputs': ['27', '3', '32', '21', '30', '2'], 'timestamp': 1778846077247}\n\nDetails:\nWorkflow: /node/ComfyUI-DepthAnythingV3/workflows/bas_relief.json\nNode error: DepthAnything_V3", "hardware": { "os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060" }, "resources": { "ram": { "peak": 4.0, "avg": 3.25 }, "total_ram_gb": 23.4, "samples": 12, "vram": { "peak": 3.04, "avg": 0.69 } } }, { "name": "da3_streaming", "status": "fail", "duration_seconds": 28.68, "error": "Workflow execution failed: {'prompt_id': 'd3813888-bfe2-473d-836b-4c5aa030194d', 'node_id': '6', 'node_type': 'DepthAnythingV3_Streaming', 'executed': ['5', '2', '3'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.84 GiB\\nRequested : 286.44 MiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 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_c7dez6_l/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py\", line 249, in execute\\n result = pipeline.run(normalized_images, pbar=pbar,\\n salad_model=salad_nn_model, video_frames=images)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 277, in run\\n result = self._process_chunk(normalized_images, start, end)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 330, in _process_chunk\\n output = self.model(chunk_input)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577, in forward\\n output = self._process_depth_head(feats, H, W)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591, in _process_depth_head\\n return self.head(feats, H, W, patch_start_idx=0)\\n ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1379, in forward\\n self._forward_impl([feat[s0:s1] for feat in feats], H, W, patch_start_idx)\\n ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1419, in _forward_impl\\n fused_main = self._add_pos_embed(fused_main, W, H)\\n File \"/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1477, in _add_pos_embed\\n pe = position_grid_to_embed(pe, x.shape[1]) * ratio\\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.84 GiB\\nRequested : 286.44 MiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 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/DepthAnythingV3-1149/ComfyUI/execution.py\", line 535, 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/DepthAnythingV3-1149/ComfyUI/execution.py\", line 335, 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/DepthAnythingV3-1149/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1149/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/DepthAnythingV3-1149/.venv/lib/python3.13/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n module_name=mod,\\n ...<4 lines>...\\n timeout=600.0,\\n )\\n', ' File \"/workspaces/DepthAnythingV3-1149/.venv/lib/python3.13/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n ...<2 lines>...\\n )\\n'], 'current_inputs': {'normalization_mode': ['Standard'], 'chunk_size': [30], 'overlap': [8], 'align_lib': ['auto'], 'align_method': ['sim3'], 'resize_method': ['resize'], 'invert_depth': [True], 'save_pointcloud': [False], 'sample_ratio': [0.015], 'conf_threshold_coef': [0.75], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1149/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'video': [''], 'salad_model': [\"{'checkpoint_path': '/workspaces/DepthAnythingV3-1149/ComfyUI/models/salad/dino_salad.safetensors'}\"]}, 'current_outputs': ['5', '3', '6', '2', '4'], 'timestamp': 1778846106492}\n\nDetails:\nWorkflow: /node/ComfyUI-DepthAnythingV3/workflows/da3_streaming.json\nNode error: DepthAnythingV3_Streaming", "hardware": { "os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060" }, "resources": { "ram": { "peak": 7.18, "avg": 4.0 }, "total_ram_gb": 23.4, "samples": 28, "vram": { "peak": 6.88, "avg": 3.24 } } }, { "name": "simple", "status": "pass", "duration_seconds": 14.02, "error": null, "hardware": { "os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060" }, "resources": { "ram": { "peak": 3.64, "avg": 3.04 }, "total_ram_gb": 23.4, "samples": 14, "vram": { "peak": 6.88, "avg": 3.69 } } }, { "name": "video_multiview_depth", "status": "pass", "duration_seconds": 31.33, "error": null, "hardware": { "os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060" }, "resources": { "ram": { "peak": 4.5, "avg": 3.25 }, "total_ram_gb": 23.4, "samples": 31, "vram": { "peak": 3.01, "avg": 0.82 } } } ] }