180 lines
23 KiB
JSON
180 lines
23 KiB
JSON
{
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"timestamp": "2026-05-15T09:08:31.820044+00:00",
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"platform": "linux",
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"hardware": {
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"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35",
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"cpu": "AMD Ryzen 5 3600 6-Core Processor",
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"gpu": "NVIDIA GeForce RTX 5060"
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},
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"commit_hash": "a48aaabdf18a46526c65d24ade8fed8a657bd306",
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"run_url": "https://github.com/PozzettiAndrea/comfy-gpu-ci/actions/runs/25909523820",
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"success": false,
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"summary": {
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"total": 7,
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"passed": 5,
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"failed": 2
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},
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"workflows": [
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{
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"name": "advanced",
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"status": "pass",
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"duration_seconds": 37.85,
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"error": null,
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"hardware": {
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"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35",
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"cpu": "AMD Ryzen 5 3600 6-Core Processor",
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"gpu": "NVIDIA GeForce RTX 5060"
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},
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"resources": {
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"ram": {
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"peak": 4.16,
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"avg": 2.01
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"total_ram_gb": 23.4,
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"samples": 37,
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"vram": {
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"avg": 0.48
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}
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}
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},
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{
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"name": "advanced_3d",
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"status": "pass",
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"duration_seconds": 18.5,
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"error": null,
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"hardware": {
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"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35",
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"cpu": "AMD Ryzen 5 3600 6-Core Processor",
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"gpu": "NVIDIA GeForce RTX 5060"
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},
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"resources": {
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"ram": {
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"total_ram_gb": 23.4,
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"samples": 19,
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}
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}
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},
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{
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"name": "advanced_3d_multiview",
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"status": "pass",
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"duration_seconds": 17.09,
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"error": null,
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"hardware": {
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"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35",
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"cpu": "AMD Ryzen 5 3600 6-Core Processor",
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"gpu": "NVIDIA GeForce RTX 5060"
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},
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"resources": {
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"ram": {
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"total_ram_gb": 23.4,
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},
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{
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"name": "bas_relief",
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"status": "fail",
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"duration_seconds": 12.97,
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"error": "Workflow execution failed: {'prompt_id': 'a38e9f56-8351-4933-8312-f068d5b8399a', 'node_id': '21', 'node_type': 'DepthAnything_V3', 'executed': ['3', '2'], '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): 109.19 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_lusourms/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0902/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0902/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0902/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/DepthAnythingV3-0902/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/python3.12/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0902/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0902/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/DepthAnythingV3-0902/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/DepthAnythingV3-0902/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)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\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): 109.19 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/DepthAnythingV3-0902/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/DepthAnythingV3-0902/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/DepthAnythingV3-0902/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-0902/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-0902/.venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-0902/.venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['Raw'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [True], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-0902/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': ['2', '32', '21', '3', '30', '27'], 'timestamp': 1778836033559}\n\nDetails:\nWorkflow: /node/ComfyUI-DepthAnythingV3/workflows/bas_relief.json\nNode error: DepthAnything_V3",
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"hardware": {
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"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35",
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"cpu": "AMD Ryzen 5 3600 6-Core Processor",
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"gpu": "NVIDIA GeForce RTX 5060"
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},
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"resources": {
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"ram": {
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"peak": 3.92,
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"avg": 3.11
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},
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"total_ram_gb": 23.4,
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"samples": 13,
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"vram": {
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"peak": 6.42,
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"avg": 1.07
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}
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}
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},
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{
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"name": "da3_streaming",
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"status": "fail",
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"duration_seconds": 30.52,
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"error": "Workflow execution failed: {'prompt_id': 'a88b9bb9-da9c-4a06-8c80-471998281ad1', '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 : 4.85 GiB\\nRequested : 286.44 MiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 109.19 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_lusourms/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0902/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0902/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/DepthAnythingV3-0902/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/DepthAnythingV3-0902/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 330, in _process_chunk\\n output = self.model(chunk_input)\\n ^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0902/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/DepthAnythingV3-0902/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/python3.12/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-0902/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/DepthAnythingV3-0902/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/DepthAnythingV3-0902/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 : 4.85 GiB\\nRequested : 286.44 MiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 109.19 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/DepthAnythingV3-0902/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/DepthAnythingV3-0902/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/DepthAnythingV3-0902/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-0902/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-0902/.venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-0902/.venv/lib/python3.12/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/DepthAnythingV3-0902/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 0x76d963c3fc20>'], 'salad_model': [\"{'checkpoint_path': '/workspaces/DepthAnythingV3-0902/ComfyUI/models/salad/dino_salad.safetensors'}\"]}, 'current_outputs': ['2', '5', '4', '6', '3'], 'timestamp': 1778836064087}\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": 7.88,
|
|
"avg": 3.96
|
|
},
|
|
"total_ram_gb": 23.4,
|
|
"samples": 30,
|
|
"vram": {
|
|
"peak": 6.88,
|
|
"avg": 3.23
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"name": "simple",
|
|
"status": "pass",
|
|
"duration_seconds": 14.41,
|
|
"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": 3.52,
|
|
"avg": 2.91
|
|
},
|
|
"total_ram_gb": 23.4,
|
|
"samples": 15,
|
|
"vram": {
|
|
"peak": 6.88,
|
|
"avg": 3.61
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"name": "video_multiview_depth",
|
|
"status": "pass",
|
|
"duration_seconds": 32.38,
|
|
"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": 4.39,
|
|
"avg": 3.07
|
|
},
|
|
"total_ram_gb": 23.4,
|
|
"samples": 32,
|
|
"vram": {
|
|
"peak": 2.95,
|
|
"avg": 0.71
|
|
}
|
|
}
|
|
}
|
|
]
|
|
} |