Files
PozzettiAndrea-ComfyUI-Dept…/dev/linux-gpu/logs/video_multiview_depth.log
T
2026-05-10 14:31:37 +00:00

163 lines
13 KiB
Plaintext

Capturing execution frames: video_multiview_depth.json
Frame 1 saved (frame_000.jpg, t=0.0s)
Validating workflow...
[ComfyUI] === /validate endpoint called ===
[ComfyUI] Received JSON with keys: ['prompt']
Queuing workflow for execution...
[ComfyUI] Prompt has 9 nodes
[ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model
[ComfyUI] Inputs: {"model": "da3_base.safetensors", "precision": "auto", "attention": "auto"}
[ComfyUI] Node 52: CreateVideo
[ComfyUI] Inputs: {"fps": 10, "images": ["62", 0]}
[ComfyUI] Node 53: CreateVideo
[ComfyUI] Inputs: {"fps": 10, "images": ["61", 0]}
[ComfyUI] Node 54: SaveVideo
[ComfyUI] Inputs: {"filename_prefix": "video/ComfyUI", "format": "auto", "codec": "auto", "video": ["52", 0]}
[ComfyUI] Node 55: SaveVideo
[ComfyUI] Inputs: {"filename_prefix": "video/ComfyUI", "format": "auto", "codec": "auto", "video": ["53", 0]}
[ComfyUI] Node 61: DepthAnything_V3
[ComfyUI] Inputs: {"normalization_mode": "V2-Style", "resize_method": "resize", "invert_depth": false, "keep_model_size": false, "da3_model": ["3", 0], "images": ["71", 0]}
[ComfyUI] Node 62: DepthAnythingV3_MultiView
[ComfyUI] Inputs: {"normalization_mode": "V2-Style", "resize_method": "resize", "invert_depth": false, "keep_model_size": false, "da3_model": ["3", 0], "images": ["71", 0]}
[ComfyUI] Node 66: PreviewImage
[ComfyUI] Inputs: {"images": ["71", 0]}
[ComfyUI] Node 71: LoadImagesFromFolderKJ
[ComfyUI] Inputs: {"folder": "input/robotframes", "width": 1024, "height": 576, "keep_aspect_ratio": "crop", "image_load_cap": 0, "start_index": 0, "include_subfolders": false}
[ComfyUI] Generated prompt_id: 9fac7986-b0cd-41f3-8e8e-3f3e5846e3ea
[ComfyUI] Calling execution.validate_prompt()...
[ComfyUI] Validation result: valid=True
[ComfyUI] === Validation PASSED ===
[ComfyUI] got prompt
[ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_base.safetensors', precision: 'auto', attention: 'auto'
[ComfyUI] [ComfyUI-DepthAnythingV3] python: /workspaces/DepthAnythingV3-1418/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
[ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 711 / 24124 MB
[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']
[ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED
[ComfyUI] [SubprocessWorker] is_pixi=True, python=/workspaces/DepthAnythingV3-1418/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
[ComfyUI] [SubprocessWorker] acquired lock, ensuring started...
[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_93b7c4c9b751']...
[ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...
[ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_93b7c4c9b751 (abstract, no filesystem path)
[ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed
[ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...
[ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)
Node executed (1 total), capturing...
Frame 2 saved (frame_001.jpg, t=1.7s)
[capture-node] freeze=3ms shot=197ms unfreeze=9ms saved=True
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: WARNING: You need pytorch with cu130 or higher to use optimized CUDA operations.
[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=38 sending call_method
[ComfyUI]
Frame 3 saved (frame_002.jpg, t=6.2s)
[capture-periodic] freeze=4ms shot=200ms unfreeze=7ms saved=True
[capture-loop] iter=50 t=6.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=4.8/31.2GB (15%) swap=0.0/32.0GB (0%) cpu=5% browser_rss=1.00GB
[ComfyUI] model.safetensors: 0%| | 0.00/542M [00:00<?, ?B/s]
[ComfyUI] model.safetensors: 25%|██▍ | 134M/542M [00:04<00:13, 29.6MB/s][SubprocessWorker] callback 'report_progress' from call_id=38
[ComfyUI]
[ComfyUI] model.safetensors: 47%|████▋ | 256M/542M [00:04<00:04, 63.1MB/s][SubprocessWorker] callback 'report_progress' from call_id=38
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=38
Frame 4 saved (frame_003.jpg, t=10.8s)
[capture-periodic] freeze=3ms shot=204ms unfreeze=12ms saved=True
[capture-loop] iter=100 t=12.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=4.8/31.2GB (15%) swap=0.0/32.0GB (0%) cpu=5% browser_rss=1.00GB
[ComfyUI]
[ComfyUI] model.safetensors: 100%|██████████| 542M/542M [00:07<00:00, 89.4MB/s][SubprocessWorker] callback 'report_progress' from call_id=38
[ComfyUI]
[ComfyUI] model.safetensors: 100%|██████████| 542M/542M [00:07<00:00, 74.5MB/s]
[ComfyUI] [SubprocessWorker] got response: ok
[ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 563 / 24124 MB
[ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...
[ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok
[ComfyUI] [SubprocessWorker] call_id=39 sending model_to_device
[ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded
[ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 563 / 24124 MB
[ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (11.38s): result: NodeOutput
[ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 563 / 24124 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 [13,576,1024,3] cpu
[ComfyUI] [VRAM] Before DepthAnything_V3: 563 / 24124 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([13, 576, 1024, 3])
[ComfyUI] [SubprocessWorker] serializing kwargs to shm...
[ComfyUI] [SubprocessWorker] created 0 shm blocks
[ComfyUI] [SubprocessWorker] sending request via socket...
[ComfyUI] [SubprocessWorker] call_id=40 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=[13, 576, 1024, 3]
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])
Frame 5 saved (frame_004.jpg, t=13.1s)
[capture-periodic] freeze=3ms shot=187ms unfreeze=9ms saved=True
[ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=40
[ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 24.71GB
[ComfyUI] [comfy-env] VRAM after eviction: 24.71GB
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +256MB (now 256MB) reserved=288MB peak=256MB
[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] [worker:ComfyUI-DepthAnythingV3] [VRAM] +321MB (now 577MB) reserved=896MB peak=577MB
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -288MB (now 290MB) reserved=1056MB peak=621MB
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
Frame 6 saved (frame_005.jpg, t=17.7s)
[capture-periodic] freeze=5ms shot=215ms unfreeze=3ms saved=True
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=40
[capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.3/31.2GB (20%) swap=0.0/32.0GB (0%) cpu=5% browser_rss=1.00GB
[ComfyUI] [SubprocessWorker] got response: ok
[ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']
[ComfyUI] [comfy-env] DepthAnything_V3 done (7.15s): result: NodeOutput
[ComfyUI] [VRAM] After DepthAnything_V3: 1767 / 24124 MB
[ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)
Frame 7 saved (frame_006.jpg, t=20.0s)
[capture-periodic] freeze=7ms shot=150ms unfreeze=13ms saved=True
[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
[ComfyUI] [VRAM] Before DepthAnythingV3_MultiView: 1767 / 24124 MB
[ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)
[ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.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([13, 576, 1024, 3])
[ComfyUI] [SubprocessWorker] serializing kwargs to shm...
[ComfyUI] [SubprocessWorker] created 0 shm blocks
[ComfyUI] [SubprocessWorker] sending request via socket...
[ComfyUI] [SubprocessWorker] call_id=41 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=[13, 576, 1024, 3]
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])
[ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=41
[ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 23.44GB
[ComfyUI] [comfy-env] VRAM after eviction: 23.44GB
[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.
Node executed (2 total), capturing...
Frame 8 saved (frame_007.jpg, t=20.6s)
[capture-node] freeze=3ms shot=208ms unfreeze=4ms saved=True
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +420MB (now 711MB) reserved=1312MB peak=711MB
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +726MB (now 1437MB) reserved=2112MB peak=1437MB
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -784MB (now 653MB) reserved=2624MB peak=1437MB
Frame 9 saved (frame_008.jpg, t=22.9s)
[capture-periodic] freeze=3ms shot=205ms unfreeze=7ms saved=True
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -387MB (now 267MB) reserved=2624MB peak=1437MB
[ComfyUI] [SubprocessWorker] got response: ok
[ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (3.85s): result: NodeOutput
[ComfyUI] [VRAM] After DepthAnythingV3_MultiView: 3271 / 24124 MB
[ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)
[ComfyUI] Prompt executed in 24.18 seconds
Node executed (3 total), capturing...
Frame 10 saved (frame_009.jpg, t=24.7s)
[capture-node] freeze=3ms shot=214ms unfreeze=5ms saved=True
Execution complete (t=25.1s)
Captured 10 unique frames over 25.14s
[debug] iframes: 0
[timing] trigger_3d_previews: 0.0s
Saved high-quality screenshot: video_multiview_depth_executed.png
[timing] final_screenshot: 0.5s
Captured 11 video frames