30 lines
16 KiB
JSON
30 lines
16 KiB
JSON
{
|
|
"frames": [
|
|
{
|
|
"file": "frame_000.jpg",
|
|
"time": 0.0,
|
|
"log": "Capturing execution frames: simple.json"
|
|
},
|
|
{
|
|
"file": "frame_001.jpg",
|
|
"time": 2.34,
|
|
"log": "Capturing execution frames: simple.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n Queuing workflow for execution...\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Generated prompt_id: 0e37c90d-4507-4e16-aa44-3dd641524211\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 7555 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [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']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [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']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_704131dd32ed (abstract, no filesystem path)\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=28 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.68s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\n [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\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=29 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions."
|
|
},
|
|
{
|
|
"file": "frame_002.jpg",
|
|
"time": 4.6,
|
|
"log": "Capturing execution frames: simple.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n Queuing workflow for execution...\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Generated prompt_id: 0e37c90d-4507-4e16-aa44-3dd641524211\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 7555 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [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']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [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']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_704131dd32ed (abstract, no filesystem path)\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=28 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.68s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\n [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\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=29 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=1ms shot=136ms unfreeze=5ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=29\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +226MB (now 226MB) reserved=256MB peak=226MB\n [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."
|
|
},
|
|
{
|
|
"file": "frame_003.jpg",
|
|
"time": 6.0,
|
|
"log": "Capturing execution frames: simple.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n Queuing workflow for execution...\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Generated prompt_id: 0e37c90d-4507-4e16-aa44-3dd641524211\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 7555 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [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']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [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']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_704131dd32ed (abstract, no filesystem path)\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=28 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.68s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\n [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\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=29 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=1ms shot=136ms unfreeze=5ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=29\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +226MB (now 226MB) reserved=256MB peak=226MB\n [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.\n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=1ms shot=143ms unfreeze=4ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=29\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +591MB (now 817MB) reserved=2560MB peak=1172MB\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (3.60s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 3397 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] Prompt executed in 5.33 seconds\n [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"
|
|
},
|
|
{
|
|
"file": "frame_004.jpg",
|
|
"time": 8.515727281570435,
|
|
"log": "Final screenshot"
|
|
}
|
|
],
|
|
"total_time": 6.2
|
|
} |