Capturing execution frames: simple.json
  Frame 1 saved (frame_000.jpg, t=0.0s)
  Validating workflow...
  [ComfyUI] === /validate endpoint called ===
  [ComfyUI] Received JSON with keys: ['prompt']
  [ComfyUI] Prompt has 4 nodes
  [ComfyUI]   Node 2: LoadImage
  [ComfyUI]     Inputs: {"image": "bridge.jpg"}
  Queuing workflow for execution...
  [ComfyUI]   Node 3: DownloadAndLoadDepthAnythingV3Model
  [ComfyUI]     Inputs: {"model": "da3_large.safetensors", "precision": "auto", "attention": "auto"}
  [ComfyUI]   Node 4: PreviewImage
  [ComfyUI]     Inputs: {"images": ["14", 0]}
  [ComfyUI]   Node 14: DepthAnything_V3
  [ComfyUI]     Inputs: {"normalization_mode": "V2-Style", "resize_method": "resize", "invert_depth": true, "keep_model_size": false, "da3_model": ["3", 0], "images": ["2", 0]}
  [ComfyUI] Generated prompt_id: 0e37c90d-4507-4e16-aa44-3dd641524211
  [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: 7555 / 7672 MB
  [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED
  [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...
  [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...
  [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed
  [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...
  [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python
  [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1149/ComfyUI', '/workspaces/DepthAnythingV3-1149/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/workspaces/DepthAnythingV3-1149/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_c7dez6_l/persistent_worker.py', 'abstract://comfy_worker_704131dd32ed']...
  [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_704131dd32ed (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=28 sending call_method
  [ComfyUI] [SubprocessWorker] got response: ok
  [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.68s): result: NodeOutput
  [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB
  [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
  [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 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=29 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 2 saved (frame_001.jpg, t=2.3s)
  [capture-periodic] freeze=1ms shot=136ms unfreeze=5ms saved=True
  [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=29
  [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB
  [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB
  [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +226MB (now 226MB) reserved=256MB peak=226MB
  [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.
  Frame 3 saved (frame_002.jpg, t=4.6s)
  [capture-periodic] freeze=1ms shot=143ms unfreeze=4ms saved=True
  [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=29
  [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +591MB (now 817MB) reserved=2560MB peak=1172MB
  [ComfyUI] [SubprocessWorker] got response: ok
  [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']
  [ComfyUI] [comfy-env] DepthAnything_V3 done (3.60s): result: NodeOutput
  [ComfyUI] [VRAM] After DepthAnything_V3: 3397 / 7672 MB
  [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)
  [ComfyUI] Prompt executed in 5.33 seconds
  [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=5.6/23.4GB (24%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=1.10GB
  Node executed (1 total), capturing...
  Frame 4 saved (frame_003.jpg, t=6.0s)
  [capture-node] freeze=2ms shot=149ms unfreeze=0ms saved=True
  Execution complete (t=6.0s)
  Captured 4 unique frames over 6.2s
  [debug] iframes: 0
  [timing] trigger_3d_previews: 0.0s
  Saved high-quality screenshot: simple_executed.png
  [timing] final_screenshot: 0.3s
    Captured 5 video frames