152 lines
12 KiB
Plaintext
152 lines
12 KiB
Plaintext
Capturing execution frames: bas_relief.json
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[ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3527 / 24124 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=21 sending model_to_device
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -242MB (now 551MB) reserved=2880MB peak=1628MB
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[ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 711 / 24124 MB
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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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Queuing workflow for execution...
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[ComfyUI] Prompt has 6 nodes
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[ComfyUI] Node 2: LoadImage
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[ComfyUI] Inputs: {"image": "bas_relief.png"}
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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 21: DepthAnything_V3
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[ComfyUI] Inputs: {"normalization_mode": "Raw", "resize_method": "resize", "invert_depth": false, "keep_model_size": true, "da3_model": ["3", 0], "images": ["2", 0]}
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[ComfyUI] Node 27: PreviewImage
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[ComfyUI] Inputs: {"images": ["21", 2]}
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[ComfyUI] Node 30: Preview3D
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[ComfyUI] Inputs: {"model_file": ["32", 0], "image": ""}
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[ComfyUI] Node 32: DA3_ToMesh
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[ComfyUI] Inputs: {"confidence_threshold": 0.1, "depth_edge_threshold": 0.1, "downsample": 1, "target_faces": 100000, "filename_prefix": "mesh", "allow_around_1": true, "use_draco_compression": false, "depth_raw": ["21
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[ComfyUI] Generated prompt_id: 577469fe-a114-40ea-9760-9e511268b5de
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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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 711 / 24124 MB
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[ComfyUI] [ComfyUI-DepthAnythingV3] python: /workspaces/DepthAnythingV3-1418/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
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[ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED
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[ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1418/ComfyUI', '/workspaces/DepthAnythingV3-1418/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/workspaces/DepthAnythingV3-1418/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages', '/workspaces/DepthAnythingV3-1418/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']
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[ComfyUI] [SubprocessWorker] acquired lock, ensuring started...
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[ComfyUI] [SubprocessWorker] is_pixi=True, python=/workspaces/DepthAnythingV3-1418/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
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[ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...
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[ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/workspaces/DepthAnythingV3-1418/ComfyUI/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_67kwy0_o/persistent_worker.py', 'abstract://comfy_worker_72db68db4867']...
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[ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed
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[ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_72db68db4867 (abstract, no filesystem path)
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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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Frame 2 saved (frame_001.jpg, t=2.5s)
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[capture-periodic] freeze=3ms shot=228ms unfreeze=4ms saved=True
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: WARNING: You need pytorch with cu130 or higher to use optimized CUDA operations.
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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=22 sending call_method
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[ComfyUI] [SubprocessWorker] got response: ok
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[ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 563 / 24124 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=23 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): 563 / 24124 MB
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[ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (3.36s): result: NodeOutput
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[ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 563 / 24124 MB
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[ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: True, da3_model: dict, images: torch.float32 [1,2000,1336,3] cpu
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[ComfyUI] [VRAM] Before DepthAnything_V3: 563 / 24124 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, 2000, 1336, 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=24 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, 2000, 1336, 3]
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2000, 1336, 3])
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Frame 3 saved (frame_002.jpg, t=4.8s)
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[capture-periodic] freeze=3ms shot=239ms unfreeze=7ms saved=True
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[ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=24
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[ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 24.71GB
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[ComfyUI] [comfy-env] VRAM after eviction: 24.71GB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +210MB (now 210MB) reserved=224MB peak=210MB
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[capture-loop] iter=50 t=6.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.2/31.2GB (16%) swap=0.0/32.0GB (0%) cpu=5% browser_rss=1.01GB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +810MB (now 1021MB) reserved=1056MB peak=1021MB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +882MB (now 1903MB) reserved=2336MB peak=1903MB
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=24
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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 (4.44s): result: NodeOutput
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[ComfyUI] [VRAM] After DepthAnything_V3: 7655 / 24124 MB
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[ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)
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[ComfyUI] [comfy-env] Running DA3_ToMesh: confidence_threshold: 0.1, depth_edge_threshold: 0.1, downsample: 1, target_faces: 100000, filename_prefix: 'mesh', allow_around_1: True, use_draco_compression: False, depth_raw: torch.float32 [1,2002,1330,3] cpu, confidence: torch.float32 [1,2002,1330,3] cpu, intrinsics: '{\n "intrinsics": [\n {\n "image_0": [\n ..., sky_mask: torch.float32 [1,2002,1330] cpu, source_image: torch.float32 [1,2002,1330,3] cpu
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[ComfyUI] [VRAM] Before DA3_ToMesh: 7655 / 24124 MB
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[ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)
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[ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_ToMesh.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 'depth_raw' shape: torch.Size([1, 2002, 1330, 3])
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[ComfyUI] [comfy-env] PRE-SERIALIZE 'confidence' shape: torch.Size([1, 2002, 1330, 3])
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[ComfyUI] [comfy-env] PRE-SERIALIZE 'sky_mask' shape: torch.Size([1, 2002, 1330])
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[ComfyUI] [comfy-env] PRE-SERIALIZE 'source_image' shape: torch.Size([1, 2002, 1330, 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=25 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, 2002, 1330, 3]
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2002, 1330, 3])
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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, 2002, 1330, 3]
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2002, 1330, 3])
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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, 2002, 1330]
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2002, 1330])
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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, 2002, 1330, 3]
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -1111MB (now 793MB) reserved=7008MB peak=3681MB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2002, 1330, 3])
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: pyfqmr not installed, skipping decimation. Install with: pip install pyfqmr
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Frame 4 saved (frame_003.jpg, t=9.5s)
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[capture-periodic] freeze=3ms shot=228ms unfreeze=11ms saved=True
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[capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.3/31.2GB (20%) swap=0.0/32.0GB (0%) cpu=5% browser_rss=1.01GB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: pygltflib is required for material post-processing. Install with: pip install pygltflib. Mesh may appear dark or single-sided.
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[ComfyUI] [SubprocessWorker] got response: ok
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[ComfyUI] [comfy-env] DA3_ToMesh done (4.24s): result: NodeOutput
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[ComfyUI] [VRAM] After DA3_ToMesh: 7691 / 24124 MB
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[ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)
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Node executed (2 total), capturing...
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[ComfyUI] Prompt executed in 12.76 seconds
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[ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 7691 / 24124 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=26 sending model_to_device
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -248MB (now 545MB) reserved=7008MB peak=3681MB
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[ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 747 / 24124 MB
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Frame 5 saved (frame_004.jpg, t=13.2s)
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[capture-node] freeze=297ms shot=4209ms unfreeze=28ms saved=True
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Node executed (3 total), capturing...
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Frame 6 saved (frame_005.jpg, t=18.2s)
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[capture-node] freeze=57ms shot=6071ms unfreeze=0ms saved=True
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Execution complete (t=18.2s)
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[3d-wait] Phase 1: Waiting for 'Loading 3D Model' text to disappear...
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[3d-wait] Phase 1 exception after 60.0s: Page.wait_for_function: Timeout 60000ms exceeded.
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[3d-wait] Phase 2: iframes=0
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[3d-wait] Total 3D wait: 60.0s
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Captured 6 unique frames over 84.44s
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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: bas_relief_executed.png
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[timing] final_screenshot: 0.6s
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Captured 7 video frames |