83 lines
6.2 KiB
Plaintext
83 lines
6.2 KiB
Plaintext
Capturing execution frames: simple.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 4 nodes
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[ComfyUI] Node 2: LoadImage
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Queuing workflow for execution...
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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: 893e3902-2173-41aa-83ef-36097ffe86dc
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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: 7692 / 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] python: /workspaces/DepthAnythingV3-0307/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
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[ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...
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[ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-0307/ComfyUI', '/workspaces/DepthAnythingV3-0307/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/workspaces/DepthAnythingV3-0307/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages', '/workspaces/DepthAnythingV3-0307/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']
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[ComfyUI] [SubprocessWorker] is_pixi=True, python=/workspaces/DepthAnythingV3-0307/ComfyUI/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
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[ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/workspaces/DepthAnythingV3-0307/ComfyUI/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_4rmut23q/persistent_worker.py', 'abstract://comfy_worker_c352708d8e9c']...
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[ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_c352708d8e9c (abstract, no filesystem path)
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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=30 sending call_method
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Frame 2 saved (frame_001.jpg, t=2.3s)
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[capture-periodic] freeze=1ms shot=145ms unfreeze=4ms saved=True
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[ComfyUI] [SubprocessWorker] got response: ok
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[ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (2.40s): result: NodeOutput
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[ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 386 / 7703 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: 386 / 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([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=31 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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[ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=31
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[ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.67GB
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[ComfyUI] [comfy-env] VRAM after eviction: 7.67GB
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +554MB (now 554MB) reserved=576MB peak=554MB
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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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Frame 3 saved (frame_002.jpg, t=4.6s)
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[capture-periodic] freeze=2ms shot=152ms unfreeze=5ms saved=True
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[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=31
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[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +263MB (now 817MB) reserved=2528MB peak=1917MB
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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 (2.41s): result: NodeOutput
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[ComfyUI] [VRAM] After DepthAnything_V3: 3022 / 7703 MB
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[ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)
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[ComfyUI] Prompt executed in 4.87 seconds
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Node executed (1 total), capturing...
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Frame 4 saved (frame_003.jpg, t=5.3s)
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[capture-node] freeze=2ms shot=149ms unfreeze=1ms saved=True
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Execution complete (t=5.6s)
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Captured 4 unique frames over 5.57s
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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: simple_executed.png
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[timing] final_screenshot: 0.2s
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Captured 5 video frames |