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PozzettiAndrea-ComfyUI-Dept…/dev/linux-gpu/logs/advanced.log
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2026-05-10 22:15:45 +00:00

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Capturing execution frames: advanced.json
[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 This is likely caused by a custom node extension using outdated APIs.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.
Frame 1 saved (frame_000.jpg, t=0.0s)
Validating workflow...
[ComfyUI] === /validate endpoint called ===
[ComfyUI] Received JSON with keys: ['prompt']
[ComfyUI] Prompt has 11 nodes
[ComfyUI] Node 2: LoadImage
Queuing workflow for execution...
[ComfyUI] Inputs: {"image": "bridge.jpg"}
[ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model
[ComfyUI] Inputs: {"model": "da3_large.safetensors", "precision": "auto", "attention": "auto"}
[ComfyUI] Node 4: PreviewImage
[ComfyUI] Inputs: {"images": ["12", 0]}
[ComfyUI] Node 6: PreviewImage
[ComfyUI] Inputs: {"images": ["12", 1]}
[ComfyUI] Node 7: PreviewImage
[ComfyUI] Inputs: {"images": ["12", 2]}
[ComfyUI] Node 8: PreviewImage
[ComfyUI] Inputs: {"images": ["12", 3]}
[ComfyUI] Node 9: PreviewAny
[ComfyUI] Inputs: {"source": ["12", 6]}
[ComfyUI] Node 10: PreviewAny
[ComfyUI] Inputs: {"source": ["12", 5]}
[ComfyUI] Node 11: MaskPreview
[ComfyUI] Inputs: {"mask": ["12", 7]}
[ComfyUI] Node 12: DepthAnything_V3
[ComfyUI] Inputs: {"normalization_mode": "V2-Style", "resize_method": "resize", "invert_depth": false, "keep_model_size": false, "da3_model": ["3", 0], "images": ["2", 0]}
[ComfyUI] Node 13: PreviewImage
[ComfyUI] Inputs: {"images": ["12", 4]}
[ComfyUI] Generated prompt_id: 880d18e5-1d57-4433-a26d-87a20e77e285
[ComfyUI] Calling execution.validate_prompt()...
[ComfyUI] Validation result: valid=True
[ComfyUI] === Validation PASSED ===
[ComfyUI] got prompt
[ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'
[ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 152 / 7703 MB
[ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED
[ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
[ComfyUI] [SubprocessWorker] acquired lock, ensuring started...
[ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-2204/ComfyUI'}
[ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
[ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-2204/ComfyUI', '/workspaces/DepthAnythingV3-2204/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages', '/workspaces/DepthAnythingV3-2204/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']
[ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
[ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_910zmk0o/persistent_worker.py', 'abstract://comfy_worker_2bdc7eaae1d5']...
[ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_2bdc7eaae1d5 (abstract, no filesystem path)
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.
[ComfyUI] [SubprocessWorker] worker started/confirmed
[ComfyUI] [SubprocessWorker] serializing kwargs to shm...
[ComfyUI] [SubprocessWorker] created 0 shm blocks
[ComfyUI] [SubprocessWorker] sending request via socket...
[ComfyUI] [SubprocessWorker] call_id=1 sending call_method
[ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.
[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.
Frame 2 saved (frame_001.jpg, t=2.4s)
[capture-periodic] freeze=2ms shot=145ms unfreeze=4ms saved=True
[ComfyUI]
Frame 3 saved (frame_002.jpg, t=4.7s)
[capture-periodic] freeze=2ms shot=143ms unfreeze=5ms saved=True
[capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=3.7/31.3GB (12%) swap=0.5/32.0GB (2%) cpu=8% browser_rss=0.85GB
[ComfyUI] model.safetensors: 0%| | 0.00/1.64G [00:00<?, ?B/s]
[ComfyUI] model.safetensors: 16%|█▋ | 268M/1.64G [00:04<00:20, 66.6MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
Frame 4 saved (frame_003.jpg, t=6.9s)
[capture-periodic] freeze=5ms shot=145ms unfreeze=3ms saved=True
[ComfyUI]
[ComfyUI] model.safetensors: 20%|██ | 335M/1.64G [00:06<00:25, 50.4MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
Frame 5 saved (frame_004.jpg, t=9.2s)
[capture-periodic] freeze=6ms shot=147ms unfreeze=5ms saved=True
[ComfyUI]
[ComfyUI] model.safetensors: 24%|██▍ | 402M/1.64G [00:06<00:20, 60.7MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
[ComfyUI]
[ComfyUI] model.safetensors: 29%|██▊ | 470M/1.64G [00:08<00:22, 52.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
[capture-loop] iter=100 t=11.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=3.9/31.3GB (12%) swap=0.5/32.0GB (2%) cpu=11% browser_rss=0.85GB
Frame 6 saved (frame_005.jpg, t=11.5s)
[capture-periodic] freeze=3ms shot=136ms unfreeze=4ms saved=True
[ComfyUI]
[ComfyUI] model.safetensors: 49%|████▉ | 805M/1.64G [00:11<00:10, 81.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
Frame 7 saved (frame_006.jpg, t=16.0s)
[capture-periodic] freeze=2ms shot=140ms unfreeze=4ms saved=True
[ComfyUI]
[ComfyUI] model.safetensors: 73%|███████▎ | 1.21G/1.64G [00:14<00:04, 106MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
[capture-loop] iter=150 t=17.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=3.9/31.3GB (12%) swap=0.5/32.0GB (2%) cpu=12% browser_rss=0.86GB
[ComfyUI]
[ComfyUI] model.safetensors: 78%|███████▊ | 1.27G/1.64G [00:14<00:03, 114MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
[ComfyUI]
[ComfyUI] model.safetensors: 100%|██████████| 1.64G/1.64G [00:14<00:00, 202MB/s][SubprocessWorker] callback 'report_progress' from call_id=1
[ComfyUI]
[ComfyUI] model.safetensors: 100%|██████████| 1.64G/1.64G [00:15<00:00, 109MB/s]
[ComfyUI] [SubprocessWorker] got response: ok
[ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (17.57s): result: NodeOutput
[ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 269 / 7703 MB
[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
[ComfyUI] [VRAM] Before DepthAnything_V3: 269 / 7703 MB
[ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED
[ComfyUI] [SubprocessWorker] acquired lock, ensuring started...
[ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...
[ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok
[ComfyUI] [SubprocessWorker] worker started/confirmed
[ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])
[ComfyUI] [SubprocessWorker] serializing kwargs to shm...
[ComfyUI] [SubprocessWorker] created 0 shm blocks
[ComfyUI] [SubprocessWorker] sending request via socket...
[ComfyUI] [SubprocessWorker] call_id=2 sending call_method
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.
Frame 8 saved (frame_007.jpg, t=18.3s)
[capture-periodic] freeze=2ms shot=137ms unfreeze=4ms saved=True
[ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=2
[ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.80GB
[ComfyUI] [comfy-env] VRAM after eviction: 7.80GB
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +402MB (now 402MB) reserved=416MB peak=402MB
[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.
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2
[capture-loop] iter=200 t=22.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=4.6/31.3GB (15%) swap=0.5/32.0GB (2%) cpu=14% browser_rss=0.86GB
[ComfyUI] [SubprocessWorker] got response: ok
[ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']
[ComfyUI] [comfy-env] DepthAnything_V3 done (4.98s): result: NodeOutput
[ComfyUI] [VRAM] After DepthAnything_V3: 2937 / 7703 MB
[ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)
Frame 9 saved (frame_008.jpg, t=22.8s)
[capture-periodic] freeze=5ms shot=145ms unfreeze=17ms saved=True
[ComfyUI] Prompt executed in 22.80 seconds
Node executed (8 total), capturing...
Frame 10 saved (frame_009.jpg, t=23.3s)
[capture-node] freeze=5ms shot=195ms unfreeze=2ms saved=True
Execution complete (t=23.6s)
Captured 10 unique frames over 23.65s
[debug] iframes: 0
[timing] trigger_3d_previews: 0.0s
Saved high-quality screenshot: advanced_executed.png
[timing] final_screenshot: 0.3s
Captured 11 video frames