122 lines
9.1 KiB
Plaintext
122 lines
9.1 KiB
Plaintext
Capturing execution frames: bas_relief.json
|
|
Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
Validating workflow...
|
|
[ComfyUI] === /validate endpoint called ===
|
|
Queuing workflow for execution...
|
|
[ComfyUI] Received JSON with keys: ['prompt']
|
|
[ComfyUI] Prompt has 6 nodes
|
|
[ComfyUI] Node 2: LoadImage
|
|
[ComfyUI] Inputs: {"image": "bas_relief.png"}
|
|
[ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model
|
|
[ComfyUI] Inputs: {"model": "da3_large.safetensors", "precision": "auto", "attention": "auto"}
|
|
[ComfyUI] Node 21: DepthAnything_V3
|
|
[ComfyUI] Inputs: {"normalization_mode": "Raw", "resize_method": "resize", "invert_depth": false, "keep_model_size": true, "da3_model": ["3", 0], "images": ["2", 0]}
|
|
[ComfyUI] Node 27: PreviewImage
|
|
[ComfyUI] Inputs: {"images": ["21", 2]}
|
|
[ComfyUI] Node 30: Preview3D
|
|
[ComfyUI] Inputs: {"model_file": ["32", 0], "image": ""}
|
|
[ComfyUI] Node 32: DA3_ToMesh
|
|
[ComfyUI] Inputs: {"confidence_threshold": 0.1, "depth_edge_threshold": 0.1, "downsample": 1, "target_faces": 100000, "filename_prefix": "mesh", "allow_around_1": true, "use_draco_compression": false, "depth_raw": ["21
|
|
[ComfyUI] Generated prompt_id: 2b75abcf-886c-4288-bfcb-d6ea6136547d
|
|
[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: 386 / 7703 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: ok
|
|
[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=22 sending call_method
|
|
[ComfyUI] [SubprocessWorker] got response: ok
|
|
[ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.11s): result: NodeOutput
|
|
[ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 386 / 7703 MB
|
|
[ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: True, da3_model: dict, images: torch.float32 [1,2000,1336,3] cpu
|
|
[ComfyUI] [VRAM] Before DepthAnything_V3: 386 / 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, 2000, 1336, 3])
|
|
[ComfyUI] [SubprocessWorker] serializing kwargs to shm...
|
|
[ComfyUI] [SubprocessWorker] created 0 shm blocks
|
|
[ComfyUI] [SubprocessWorker] sending request via socket...
|
|
[ComfyUI] [SubprocessWorker] call_id=23 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, 2000, 1336, 3]
|
|
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2000, 1336, 3])
|
|
[ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=23
|
|
[ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.67GB
|
|
[ComfyUI] [comfy-env] VRAM after eviction: 7.67GB
|
|
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +731MB (now 731MB) reserved=736MB peak=731MB
|
|
Frame 2 saved (frame_001.jpg, t=2.4s)
|
|
[capture-periodic] freeze=2ms shot=127ms unfreeze=3ms saved=True
|
|
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +2749MB (now 3480MB) reserved=6240MB peak=3480MB
|
|
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=23
|
|
[ComfyUI] [SubprocessWorker] got response: ok
|
|
[ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']
|
|
[ComfyUI] [comfy-env] DepthAnything_V3 done (3.37s): result: NodeOutput
|
|
[ComfyUI] [VRAM] After DepthAnything_V3: 7500 / 7703 MB
|
|
[ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)
|
|
[ComfyUI] [comfy-env] Running DA3_ToMesh: confidence_threshold: 0.1, depth_edge_threshold: 0.1, downsample: 1, target_faces: 100000, filename_prefix: 'mesh', allow_around_1: True, use_draco_compression: False, depth_raw: torch.float32 [1,2002,1330,3] cpu, confidence: torch.float32 [1,2002,1330,3] cpu, intrinsics: '{\n "intrinsics": [\n {\n "image_0": [\n ..., sky_mask: torch.float32 [1,2002,1330] cpu, source_image: torch.float32 [1,2002,1330,3] cpu
|
|
[ComfyUI] [VRAM] Before DA3_ToMesh: 7500 / 7703 MB
|
|
[ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)
|
|
[ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_ToMesh.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 'depth_raw' shape: torch.Size([1, 2002, 1330, 3])
|
|
[ComfyUI] [comfy-env] PRE-SERIALIZE 'confidence' shape: torch.Size([1, 2002, 1330, 3])
|
|
[ComfyUI] [comfy-env] PRE-SERIALIZE 'sky_mask' shape: torch.Size([1, 2002, 1330])
|
|
[ComfyUI] [comfy-env] PRE-SERIALIZE 'source_image' shape: torch.Size([1, 2002, 1330, 3])
|
|
[ComfyUI] [SubprocessWorker] serializing kwargs to shm...
|
|
[ComfyUI] [SubprocessWorker] created 0 shm blocks
|
|
[ComfyUI] [SubprocessWorker] sending request via socket...
|
|
[ComfyUI] [SubprocessWorker] call_id=24 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, 2002, 1330, 3]
|
|
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2002, 1330, 3])
|
|
[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, 2002, 1330, 3]
|
|
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2002, 1330, 3])
|
|
[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, 2002, 1330]
|
|
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2002, 1330])
|
|
[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, 2002, 1330, 3]
|
|
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2002, 1330, 3])
|
|
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -2688MB (now 793MB) reserved=7008MB peak=3480MB
|
|
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: pyfqmr not installed, skipping decimation. Install with: pip install pyfqmr
|
|
Frame 3 saved (frame_002.jpg, t=4.6s)
|
|
[capture-periodic] freeze=1ms shot=163ms unfreeze=3ms saved=True
|
|
[capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=7.9/31.3GB (25%) swap=0.0/32.0GB (0%) cpu=11% browser_rss=1.06GB
|
|
[ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: pygltflib is required for material post-processing. Install with: pip install pygltflib. Mesh may appear dark or single-sided.
|
|
[ComfyUI] [SubprocessWorker] got response: ok
|
|
[ComfyUI] [comfy-env] DA3_ToMesh done (3.49s): result: NodeOutput
|
|
[ComfyUI] [VRAM] After DA3_ToMesh: 7568 / 7703 MB
|
|
[ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)
|
|
Node executed (2 total), capturing...
|
|
[ComfyUI] Prompt executed in 7.41 seconds
|
|
Frame 4 saved (frame_003.jpg, t=7.7s)
|
|
[capture-node] freeze=25ms shot=149ms unfreeze=2ms saved=True
|
|
Node executed (3 total), capturing...
|
|
Frame 5 saved (frame_004.jpg, t=8.3s)
|
|
[capture-node] freeze=56ms shot=3246ms unfreeze=0ms saved=True
|
|
Execution complete (t=8.3s)
|
|
[3d-wait] Phase 1: Waiting for 'Loading 3D Model' text to disappear...
|
|
[3d-wait] Phase 1 exception after 60.0s: Page.wait_for_function: Timeout 60000ms exceeded.
|
|
[3d-wait] Phase 2: iframes=0
|
|
[3d-wait] Total 3D wait: 60.0s
|
|
Captured 5 unique frames over 71.95s
|
|
[debug] iframes: 0
|
|
[timing] trigger_3d_previews: 0.0s
|
|
Saved high-quality screenshot: bas_relief_executed.png
|
|
[timing] final_screenshot: 0.8s
|
|
Captured 6 video frames |