167 lines
13 KiB
Plaintext
167 lines
13 KiB
Plaintext
Capturing execution frames: video_multiview_depth.json
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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 9 nodes
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[ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model
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[ComfyUI] Inputs: {"model": "da3_base.safetensors", "precision": "auto", "attention": "auto"}
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Queuing workflow for execution...
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[ComfyUI] Node 52: CreateVideo
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[ComfyUI] Inputs: {"fps": 10, "images": ["62", 0]}
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[ComfyUI] Node 53: CreateVideo
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[ComfyUI] Inputs: {"fps": 10, "images": ["61", 0]}
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[ComfyUI] Node 54: SaveVideo
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[ComfyUI] Inputs: {"filename_prefix": "video/ComfyUI", "format": "auto", "codec": "auto", "video": ["52", 0]}
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[ComfyUI] Node 55: SaveVideo
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[ComfyUI] Inputs: {"filename_prefix": "video/ComfyUI", "format": "auto", "codec": "auto", "video": ["53", 0]}
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[ComfyUI] Node 61: 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": ["71", 0]}
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[ComfyUI] Node 62: DepthAnythingV3_MultiView
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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": ["71", 0]}
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[ComfyUI] Node 66: PreviewImage
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[ComfyUI] Inputs: {"images": ["71", 0]}
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[ComfyUI] Node 71: LoadImagesFromFolderKJ
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[ComfyUI] Inputs: {"folder": "input/robotframes", "width": 1024, "height": 576, "keep_aspect_ratio": "crop", "image_load_cap": 0, "start_index": 0, "include_subfolders": false}
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[ComfyUI] Generated prompt_id: 161967d5-c909-48bb-a9df-527c8bfb74ad
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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_base.safetensors', precision: 'auto', attention: 'auto'
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[ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 441 / 7703 MB
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[ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.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: failed
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[ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...
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[ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)
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[ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
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[ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-0926/ComfyUI', '/workspaces/DepthAnythingV3-0926/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-0926/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_xvidy7rt/persistent_worker.py', 'abstract://comfy_worker_761e09466435']...
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[ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_761e09466435 (abstract, no filesystem path)
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Node executed (1 total), capturing...
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Frame 2 saved (frame_001.jpg, t=1.3s)
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[capture-node] freeze=2ms shot=130ms unfreeze=5ms saved=True
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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=38 sending call_method
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[ComfyUI]
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Frame 3 saved (frame_002.jpg, t=5.8s)
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[capture-periodic] freeze=2ms shot=141ms unfreeze=5ms saved=True
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[capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=4.0/31.3GB (13%) swap=0.7/32.0GB (2%) cpu=13% browser_rss=1.18GB
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[ComfyUI] model.safetensors: 0%| | 0.00/542M [00:00<?, ?B/s]
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[ComfyUI] model.safetensors: 12%|█▏ | 67.1M/542M [00:04<00:28, 16.7MB/s][SubprocessWorker] callback 'report_progress' from call_id=38
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Frame 4 saved (frame_003.jpg, t=8.0s)
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[capture-periodic] freeze=2ms shot=150ms unfreeze=6ms saved=True
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[ComfyUI]
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[ComfyUI] model.safetensors: 25%|██▍ | 134M/542M [00:05<00:14, 28.0MB/s] [SubprocessWorker] callback 'report_progress' from call_id=38
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[ComfyUI]
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[ComfyUI] model.safetensors: 62%|██████▏ | 335M/542M [00:05<00:02, 90.8MB/s][SubprocessWorker] callback 'report_progress' from call_id=38
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[ComfyUI]
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[ComfyUI] model.safetensors: 100%|██████████| 542M/542M [00:05<00:00, 167MB/s] [SubprocessWorker] callback 'report_progress' from call_id=38
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[ComfyUI]
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[ComfyUI] model.safetensors: 100%|██████████| 542M/542M [00:05<00:00, 93.1MB/s]
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[ComfyUI] [SubprocessWorker] got response: ok
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[ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 269 / 7703 MB
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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] call_id=39 sending model_to_device
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[ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded
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[ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 269 / 7703 MB
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[ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (7.84s): result: NodeOutput
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[ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 269 / 7703 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 [13,576,1024,3] cpu
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[ComfyUI] [VRAM] Before DepthAnything_V3: 269 / 7703 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([13, 576, 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=40 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=[13, 576, 1024, 3]
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.
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[ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=40
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[ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 7.80GB
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[ComfyUI] [comfy-env] VRAM after eviction: 7.80GB
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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] [worker:ComfyUI-DepthAnythingV3] [VRAM] +258MB (now 258MB) reserved=288MB peak=258MB
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Frame 5 saved (frame_004.jpg, t=10.3s)
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[capture-periodic] freeze=1ms shot=145ms unfreeze=6ms saved=True
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +381MB (now 640MB) reserved=1120MB peak=640MB
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[capture-loop] iter=100 t=11.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=5.1/31.3GB (16%) swap=0.7/32.0GB (2%) cpu=14% browser_rss=1.05GB
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -322MB (now 318MB) reserved=1120MB peak=640MB
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
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Frame 6 saved (frame_005.jpg, t=12.6s)
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[capture-periodic] freeze=2ms shot=134ms unfreeze=6ms saved=True
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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 (5.25s): result: NodeOutput
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[ComfyUI] [VRAM] After DepthAnything_V3: 1529 / 7703 MB
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[ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)
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[ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [13,576,1024,3] cpu
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[ComfyUI] [VRAM] Before DepthAnythingV3_MultiView: 1529 / 7703 MB
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[ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)
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[ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.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([13, 576, 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=41 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=[13, 576, 1024, 3]
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])
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[ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=41
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[ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 6.47GB
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[ComfyUI] [comfy-env] VRAM after eviction: 6.47GB
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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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Node executed (2 total), capturing...
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Frame 7 saved (frame_006.jpg, t=14.6s)
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[capture-node] freeze=2ms shot=137ms unfreeze=8ms saved=True
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +392MB (now 711MB) reserved=1088MB peak=711MB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +726MB (now 1437MB) reserved=1984MB peak=1437MB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -784MB (now 653MB) reserved=2848MB peak=1458MB
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Frame 8 saved (frame_007.jpg, t=16.8s)
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[capture-periodic] freeze=1ms shot=135ms unfreeze=2ms saved=True
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[capture-loop] iter=150 t=17.6s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=6.0/31.3GB (19%) swap=0.7/32.0GB (2%) cpu=15% browser_rss=1.09GB
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[ComfyUI] [SubprocessWorker] got response: ok
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[ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (3.49s): result: NodeOutput
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[ComfyUI] [VRAM] After DepthAnythingV3_MultiView: 3225 / 7703 MB
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[ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)
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[ComfyUI] Prompt executed in 17.82 seconds
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Node executed (3 total), capturing...
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Frame 9 saved (frame_008.jpg, t=18.2s)
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[capture-node] freeze=2ms shot=138ms unfreeze=5ms saved=True
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Execution complete (t=18.5s)
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Captured 9 unique frames over 18.49s
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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: video_multiview_depth_executed.png
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[timing] final_screenshot: 0.3s
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Captured 10 video frames |