129 lines
9.7 KiB
Plaintext
129 lines
9.7 KiB
Plaintext
Capturing execution frames: advanced.json
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[ComfyUI] [DEPRECATION WARNING] Detected import of deprecated legacy API: /extensions/core/widgetInputs.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.
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Frame 1 saved (frame_000.jpg, t=0.0s)
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Validating workflow...
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[ComfyUI] === /validate endpoint called ===
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[ComfyUI] Received JSON with keys: ['prompt']
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[ComfyUI] Prompt has 11 nodes
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[ComfyUI] Node 2: LoadImage
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[ComfyUI] Inputs: {"image": "bridge.jpg"}
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Queuing workflow for execution...
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[ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model
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[ComfyUI] Inputs: {"model": "da3_large.safetensors", "precision": "auto", "attention": "auto"}
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[ComfyUI] Node 4: PreviewImage
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[ComfyUI] Inputs: {"images": ["12", 0]}
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[ComfyUI] Node 6: PreviewImage
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[ComfyUI] Inputs: {"images": ["12", 1]}
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[ComfyUI] Node 7: PreviewImage
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[ComfyUI] Inputs: {"images": ["12", 2]}
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[ComfyUI] Node 8: PreviewImage
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[ComfyUI] Inputs: {"images": ["12", 3]}
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[ComfyUI] Node 9: PreviewAny
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[ComfyUI] Inputs: {"source": ["12", 6]}
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[ComfyUI] Node 10: PreviewAny
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[ComfyUI] Inputs: {"source": ["12", 5]}
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[ComfyUI] Node 11: MaskPreview
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[ComfyUI] Inputs: {"mask": ["12", 7]}
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[ComfyUI] Node 12: DepthAnything_V3
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[ComfyUI] Inputs: {"normalization_mode": "V2-Style", "resize_method": "resize", "invert_depth": false, "keep_model_size": false, "da3_model": ["3", 0], "images": ["2", 0]}
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[ComfyUI] Node 13: PreviewImage
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[ComfyUI] Inputs: {"images": ["12", 4]}
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[ComfyUI] Generated prompt_id: 805f3e84-a687-4ee8-b5bc-57d22f58de0c
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[ComfyUI] Calling execution.validate_prompt()...
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[ComfyUI] Validation result: valid=True
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[ComfyUI] === Validation PASSED ===
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[ComfyUI] got prompt
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[ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'
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[ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
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[ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB
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[ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1105/ComfyUI'}
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[ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED
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[ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
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[ComfyUI] [SubprocessWorker] acquired lock, ensuring started...
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[ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1105/ComfyUI', '/workspaces/DepthAnythingV3-1105/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/workspaces/DepthAnythingV3-1105/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']
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[ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
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[ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_rndiszji/persistent_worker.py', 'abstract://comfy_worker_4421af54b687']...
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[ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_4421af54b687 (abstract, no filesystem path)
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.
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[ComfyUI] [SubprocessWorker] worker started/confirmed
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[ComfyUI] [SubprocessWorker] serializing kwargs to shm...
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[ComfyUI] [SubprocessWorker] created 0 shm blocks
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[ComfyUI] [SubprocessWorker] sending request via socket...
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[ComfyUI] [SubprocessWorker] call_id=1 sending call_method
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Frame 2 saved (frame_001.jpg, t=2.4s)
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[capture-periodic] freeze=2ms shot=131ms unfreeze=5ms saved=True
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[ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
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[ComfyUI]
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Frame 3 saved (frame_002.jpg, t=4.6s)
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[capture-periodic] freeze=2ms shot=138ms unfreeze=4ms saved=True
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[capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.4/23.4GB (19%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.86GB
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[capture-loop] iter=100 t=11.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=5.0/23.4GB (22%) swap=1.8/32.0GB (6%) cpu=10% browser_rss=0.85GB
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[ComfyUI] model.safetensors: 0%| | 0.00/1.64G [00:00<?, ?B/s]
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[ComfyUI] model.safetensors: 49%|████▉ | 805M/1.64G [00:12<00:12, 66.9MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
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[ComfyUI]
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[ComfyUI] model.safetensors: 57%|█████▋ | 939M/1.64G [00:12<00:09, 76.1MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
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[ComfyUI]
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[ComfyUI] model.safetensors: 65%|██████▌ | 1.07G/1.64G [00:13<00:06, 93.4MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
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Frame 4 saved (frame_003.jpg, t=15.7s)
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[capture-periodic] freeze=2ms shot=126ms unfreeze=5ms saved=True
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[capture-loop] iter=150 t=16.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.7/23.4GB (20%) swap=1.8/32.0GB (6%) cpu=12% browser_rss=0.85GB
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[ComfyUI]
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[ComfyUI] model.safetensors: 82%|████████▏ | 1.34G/1.64G [00:14<00:02, 114MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1
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Frame 5 saved (frame_004.jpg, t=18.0s)
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[ComfyUI]
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[ComfyUI] model.safetensors: 100%|██████████| 1.64G/1.64G [00:15<00:00, 157MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
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[capture-periodic] freeze=7ms shot=156ms unfreeze=2ms saved=True
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[capture-loop] iter=200 t=22.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=5% browser_rss=0.86GB
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[ComfyUI]
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[ComfyUI] model.safetensors: 100%|██████████| 1.64G/1.64G [00:24<00:00, 66.9MB/s]
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[ComfyUI] [SubprocessWorker] got response: ok
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[ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (27.05s): result: NodeOutput
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[ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB
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[ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu
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[ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB
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[ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED
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[ComfyUI] [SubprocessWorker] acquired lock, ensuring started...
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[ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...
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[ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok
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[ComfyUI] [SubprocessWorker] worker started/confirmed
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[ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])
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[ComfyUI] [SubprocessWorker] serializing kwargs to shm...
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[ComfyUI] [SubprocessWorker] created 0 shm blocks
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[ComfyUI] [SubprocessWorker] sending request via socket...
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[ComfyUI] [SubprocessWorker] call_id=2 sending call_method
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.
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[capture-loop] iter=250 t=28.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.2/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.79GB
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Frame 6 saved (frame_005.jpg, t=29.4s)
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[capture-periodic] freeze=1ms shot=122ms unfreeze=5ms saved=True
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[ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=2
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[ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB
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[ComfyUI] [comfy-env] VRAM after eviction: 7.28GB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +695MB (now 695MB) reserved=704MB peak=695MB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: WARNING: This model does not support sky segmentation. V2-Style normalization will work but without sky masking. Use Mono/Metric/Nested models for best V2-Style results.
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2
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[ComfyUI] [SubprocessWorker] got response: ok
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[ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']
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[ComfyUI] [comfy-env] DepthAnything_V3 done (5.76s): result: NodeOutput
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[ComfyUI] [VRAM] After DepthAnything_V3: 3397 / 7672 MB
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[ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)
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Node executed (2 total), capturing...
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Frame 7 saved (frame_006.jpg, t=33.4s)
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[capture-node] freeze=2ms shot=146ms unfreeze=3ms saved=True
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[ComfyUI] Prompt executed in 33.47 seconds
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Node executed (7 total), capturing...
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Frame 8 saved (frame_007.jpg, t=33.9s)
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[capture-node] freeze=2ms shot=160ms unfreeze=2ms saved=True
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Node executed (8 total), capturing...
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Frame 9 saved (frame_008.jpg, t=34.4s)
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[capture-node] freeze=2ms shot=140ms unfreeze=0ms saved=True
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Execution complete (t=34.4s)
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Captured 9 unique frames over 34.62s
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[debug] iframes: 0
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[timing] trigger_3d_previews: 0.0s
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Saved high-quality screenshot: advanced_executed.png
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[timing] final_screenshot: 0.3s
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Captured 10 video frames |