114 lines
8.7 KiB
Plaintext
114 lines
8.7 KiB
Plaintext
Capturing execution frames: simple.json
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[ComfyUI] [comfy-env] [VRAM] Before offload 'VPRModel_2' (335 MB) -> cpu: 2443 / 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=31 sending model_to_device
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[ComfyUI] [comfy-env] [VRAM] After offload 'VPRModel_2' (335 MB): 1547 / 24124 MB
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[ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 1547 / 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=32 sending model_to_device
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -336MB (now 792MB) reserved=864MB peak=4603MB
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[ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 747 / 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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Queuing workflow for execution...
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[ComfyUI] Received JSON with keys: ['prompt']
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[ComfyUI] Prompt has 4 nodes
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[ComfyUI] Node 2: LoadImage
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[ComfyUI] Inputs: {"image": "bridge.jpg"}
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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": ["14", 0]}
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[ComfyUI] Node 14: DepthAnything_V3
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[ComfyUI] Inputs: {"normalization_mode": "V2-Style", "resize_method": "resize", "invert_depth": true, "keep_model_size": false, "da3_model": ["3", 0], "images": ["2", 0]}
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[ComfyUI] Generated prompt_id: 0073c930-6b79-4ab3-b4c6-7cb732e8e580
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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: 747 / 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_aa902efbe98d']...
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[ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed
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[ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_aa902efbe98d (abstract, no filesystem path)
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[ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...
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[ComfyUI] [comfy-env] Invalidated 2 stale model patchers (will be cleaned up during next unload)
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Frame 2 saved (frame_001.jpg, t=2.4s)
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[capture-periodic] freeze=3ms shot=207ms 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=33 sending call_method
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[ComfyUI] [SubprocessWorker] got response: ok
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[ComfyUI] [comfy-env] [VRAM] Before offload 'VPRModel_2' (335 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=34 sending model_to_device
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[ComfyUI] Model 'VPRModel_2' gone from worker (restarted?), treating as offloaded
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[ComfyUI] [comfy-env] [VRAM] After offload 'VPRModel_2' (335 MB): 563 / 24124 MB
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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=35 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 (3.53s): 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: 'V2-Style', resize_method: 'resize', invert_depth: True, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] 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, 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=36 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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Frame 3 saved (frame_002.jpg, t=4.8s)
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[capture-periodic] freeze=3ms shot=197ms unfreeze=8ms saved=True
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[ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=36
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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] +354MB (now 354MB) reserved=384MB peak=354MB
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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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[capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=5.1/31.2GB (16%) swap=0.0/32.0GB (0%) cpu=7% browser_rss=1.07GB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +498MB (now 853MB) reserved=864MB peak=853MB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +636MB (now 1489MB) reserved=2528MB peak=1502MB
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=36
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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 (4.02s): result: NodeOutput
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[ComfyUI] [VRAM] After DepthAnything_V3: 3175 / 24124 MB
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[ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)
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[ComfyUI] Prompt executed in 7.66 seconds
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[ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3175 / 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=37 sending model_to_device
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Node executed (1 total), capturing...
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Frame 4 saved (frame_003.jpg, t=8.2s)
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[capture-node] freeze=3ms shot=203ms unfreeze=0ms saved=True
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Execution complete (t=8.2s)
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Captured 4 unique frames over 8.54s
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[debug] iframes: 0
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[timing] trigger_3d_previews: 0.0s
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[ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 711 / 24124 MB
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Saved high-quality screenshot: simple_executed.png
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[timing] final_screenshot: 0.5s
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Captured 5 video frames |