179 lines
11 KiB
JSON
179 lines
11 KiB
JSON
{
|
|
"timestamp": "2026-05-10T03:16:29.772341+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": "1a25712cb767ece23a4983a3006615d2be331ac9",
|
|
"success": false,
|
|
"summary": {
|
|
"total": 7,
|
|
"passed": 6,
|
|
"failed": 1
|
|
},
|
|
"workflows": [
|
|
{
|
|
"name": "advanced",
|
|
"status": "pass",
|
|
"duration_seconds": 37.27,
|
|
"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": 3.32,
|
|
"avg": 2.05
|
|
},
|
|
"total_ram_gb": 31.3,
|
|
"samples": 37,
|
|
"vram": {
|
|
"peak": 2.82,
|
|
"avg": 0.49
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"name": "advanced_3d",
|
|
"status": "pass",
|
|
"duration_seconds": 18.74,
|
|
"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": 3.95,
|
|
"avg": 3.1
|
|
},
|
|
"total_ram_gb": 31.3,
|
|
"samples": 19,
|
|
"vram": {
|
|
"peak": 2.82,
|
|
"avg": 0.78
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"name": "advanced_3d_multiview",
|
|
"status": "pass",
|
|
"duration_seconds": 22.37,
|
|
"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": 3.71,
|
|
"avg": 2.48
|
|
},
|
|
"total_ram_gb": 31.3,
|
|
"samples": 22,
|
|
"vram": {
|
|
"peak": 3.1,
|
|
"avg": 0.53
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"name": "bas_relief",
|
|
"status": "pass",
|
|
"duration_seconds": 80.52,
|
|
"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": 4.61,
|
|
"avg": 3.95
|
|
},
|
|
"total_ram_gb": 31.3,
|
|
"samples": 78,
|
|
"vram": {
|
|
"peak": 7.23,
|
|
"avg": 6.41
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"name": "da3_streaming",
|
|
"status": "fail",
|
|
"duration_seconds": 47.82,
|
|
"error": "Workflow execution failed: {'prompt_id': '0f8f770a-2093-4692-88a4-c73e63dc11b5', 'node_id': '6', 'node_type': 'DepthAnythingV3_Streaming', 'executed': ['3', '5', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.92 GiB\\nRequested : 286.44 MiB\\nDevice limit : 7.52 GiB\\nFree (according to CUDA): 11.19 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_4rmut23q/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0307/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0307/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py\", line 249, in execute\\n result = pipeline.run(normalized_images, pbar=pbar,\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0307/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 277, in run\\n result = self._process_chunk(normalized_images, start, end)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0307/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 330, in _process_chunk\\n output = self.model(chunk_input)\\n ^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0307/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0307/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0307/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0307/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 \"/workspaces/DepthAnythingV3-0307/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0307/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0307/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 File \"/workspaces/DepthAnythingV3-0307/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0307/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 : 4.92 GiB\\nRequested : 286.44 MiB\\nDevice limit : 7.52 GiB\\nFree (according to CUDA): 11.19 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/DepthAnythingV3-0307/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/DepthAnythingV3-0307/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/DepthAnythingV3-0307/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-0307/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-0307/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 536, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-0307/.venv/lib/python3.11/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\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/DepthAnythingV3-0307/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'video': ['<comfy_api.latest._input_impl.video_types.VideoFromFile object at 0x76a9032cde90>'], 'salad_model': [\"{'checkpoint_path': '/workspaces/DepthAnythingV3-0307/ComfyUI/models/salad/dino_salad.safetensors'}\"]}, 'current_outputs': ['4', '6', '3', '5', '2'], 'timestamp': 1778382949205}\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": 8.24,
|
|
"avg": 4.99
|
|
},
|
|
"total_ram_gb": 31.3,
|
|
"samples": 46,
|
|
"vram": {
|
|
"peak": 7.23,
|
|
"avg": 3.84
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"name": "simple",
|
|
"status": "pass",
|
|
"duration_seconds": 13.19,
|
|
"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": 3.99,
|
|
"avg": 3.23
|
|
},
|
|
"total_ram_gb": 31.3,
|
|
"samples": 13,
|
|
"vram": {
|
|
"peak": 7.35,
|
|
"avg": 4.12
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"name": "video_multiview_depth",
|
|
"status": "pass",
|
|
"duration_seconds": 26.56,
|
|
"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": 5.08,
|
|
"avg": 3.35
|
|
},
|
|
"total_ram_gb": 31.3,
|
|
"samples": 26,
|
|
"vram": {
|
|
"peak": 3.11,
|
|
"avg": 0.83
|
|
}
|
|
}
|
|
}
|
|
]
|
|
} |