141 lines
9.6 KiB
Plaintext
141 lines
9.6 KiB
Plaintext
Capturing execution frames: scene_seg.json
|
|
Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
Validating workflow...
|
|
Queuing workflow for execution...
|
|
[ComfyUI] === /validate endpoint called ===
|
|
[ComfyUI] Received JSON with keys: ['prompt']
|
|
[ComfyUI] Prompt has 10 nodes
|
|
[ComfyUI] Node 1: LoadImage
|
|
[ComfyUI] Inputs: {"image": "image.png"}
|
|
[ComfyUI] Node 3: PreviewImage
|
|
[ComfyUI] Inputs: {"images": ["27", 1]}
|
|
[ComfyUI] Node 4: MaskPreview
|
|
[ComfyUI] Inputs: {"mask": ["27", 0]}
|
|
[ComfyUI] Node 12: LoadSAM3Model
|
|
[ComfyUI] Inputs: {"precision": "fp32", "compile": false}
|
|
[ComfyUI] Node 20: SAM3MultiRegionCollector
|
|
[ComfyUI] Inputs: {"multi_prompts_store": "[{\"positive_points\":[{\"x\":5052.74953932266,\"y\":2847.0600693869637},{\"x\":4932.510591392486,\"y\":2953.9413227753366},{\"x\":4718.752461738845,\"y\":2967.301479448883},{
|
|
[ComfyUI] Node 22: MultibandFromBatch
|
|
[ComfyUI] Inputs: {"images": ["1", 0], "masks": ["27", 0]}
|
|
[ComfyUI] Node 23: MultibandSave
|
|
[ComfyUI] Inputs: {"file_path": "output/multiband", "format": "npz", "multiband": ["26", 0]}
|
|
[ComfyUI] Node 24: MultibandPreview
|
|
[ComfyUI] Inputs: {"channel_index": 0, "multiband": ["26", 0]}
|
|
[ComfyUI] Node 26: MultibandResize
|
|
[ComfyUI] Inputs: {"upscale_method": "nearest-exact", "width": 900, "height": 600, "crop": "center", "multiband": ["22", 0]}
|
|
[ComfyUI] Node 27: SAM3MultipromptSegmentation
|
|
[ComfyUI] Inputs: {"refinement_iterations": 0, "use_multimask": false, "sam3_model_config": ["12", 0], "image": ["1", 0], "multi_prompts": ["20", 0]}
|
|
[ComfyUI] Generated prompt_id: d41905c5-487b-4a40-9e91-f29c016f60fe
|
|
[ComfyUI] Calling execution.validate_prompt()...
|
|
[ComfyUI] Validation result: valid=True
|
|
[ComfyUI] === Validation PASSED ===
|
|
[ComfyUI] got prompt
|
|
[ComfyUI] [comfy-env] Running SAM3MultiRegionCollector: multi_prompts_store: '[{"positive_points":[{"x":5052.74953932266,"y":2847.0600..., image: torch.float32 [1,4480,6720,3] cpu
|
|
[ComfyUI] [VRAM] Before SAM3MultiRegionCollector: 269 / 7703 MB
|
|
[ComfyUI] [SubprocessWorker] call_method: nodes.sam3_interactive.SAM3MultiRegionCollector.EXECUTE_NORMALIZED
|
|
[ComfyUI] [SubprocessWorker] acquired lock, ensuring started...
|
|
[ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...
|
|
[ComfyUI] [ComfyUI-SAM3] Health check: ok
|
|
[ComfyUI] [SubprocessWorker] worker started/confirmed
|
|
[ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 4480, 6720, 3])
|
|
[ComfyUI] [SubprocessWorker] serializing kwargs to shm...
|
|
[ComfyUI] [SubprocessWorker] created 0 shm blocks
|
|
[ComfyUI] [SubprocessWorker] sending request via socket...
|
|
[ComfyUI] [SubprocessWorker] call_id=9 sending call_method
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 4480, 6720, 3]
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 4480, 6720, 3])
|
|
[ComfyUI] [SubprocessWorker] got response: ok
|
|
[ComfyUI] [comfy-env] [VRAM] Before offload 'Sam3VideoInferenceWithInstanceInteractivity_1' (3334 MB) -> cpu: 269 / 7703 MB
|
|
[ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...
|
|
[ComfyUI] [ComfyUI-SAM3] Health check: ok
|
|
[ComfyUI] [SubprocessWorker] call_id=10 sending model_to_device
|
|
[ComfyUI] Model 'Sam3VideoInferenceWithInstanceInteractivity_1' gone from worker (restarted?), treating as offloaded
|
|
[ComfyUI] [comfy-env] [VRAM] After offload 'Sam3VideoInferenceWithInstanceInteractivity_1' (3334 MB): 269 / 7703 MB
|
|
[ComfyUI] [comfy-env] SAM3MultiRegionCollector done (0.79s): result: NodeOutput
|
|
[ComfyUI] [VRAM] After SAM3MultiRegionCollector: 269 / 7703 MB
|
|
[ComfyUI] [comfy-env] Running LoadSAM3Model: precision: 'fp32', compile: False
|
|
[ComfyUI] [VRAM] Before LoadSAM3Model: 269 / 7703 MB
|
|
[ComfyUI] [SubprocessWorker] call_method: nodes.load_model.LoadSAM3Model.EXECUTE_NORMALIZED
|
|
[ComfyUI] [SubprocessWorker] acquired lock, ensuring started...
|
|
[ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...
|
|
[ComfyUI] [ComfyUI-SAM3] 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=11 sending call_method
|
|
[ComfyUI] [SubprocessWorker] got response: ok
|
|
[ComfyUI] [comfy-env] LoadSAM3Model done (0.08s): result: NodeOutput
|
|
[ComfyUI] [VRAM] After LoadSAM3Model: 269 / 7703 MB
|
|
[ComfyUI] [comfy-env] Running SAM3MultipromptSegmentation: refinement_iterations: 0, use_multimask: False, sam3_model_config: dict, image: torch.float32 [1,4480,6720,3] cpu, multi_prompts: list[7]
|
|
[ComfyUI] [VRAM] Before SAM3MultipromptSegmentation: 269 / 7703 MB
|
|
[ComfyUI] [SubprocessWorker] call_method: nodes.segmentation.SAM3MultipromptSegmentation.EXECUTE_NORMALIZED
|
|
[ComfyUI] [SubprocessWorker] acquired lock, ensuring started...
|
|
[ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...
|
|
[ComfyUI] [ComfyUI-SAM3] Health check: ok
|
|
[ComfyUI] [SubprocessWorker] worker started/confirmed
|
|
[ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 4480, 6720, 3])
|
|
[ComfyUI] [SubprocessWorker] serializing kwargs to shm...
|
|
[ComfyUI] [SubprocessWorker] created 0 shm blocks
|
|
[ComfyUI] [SubprocessWorker] sending request via socket...
|
|
[ComfyUI] [SubprocessWorker] call_id=12 sending call_method
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 4480, 6720, 3]
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 4480, 6720, 3])
|
|
Node executed (1 total), capturing...
|
|
Frame 2 saved (frame_001.jpg, t=2.2s)
|
|
[capture-node] freeze=238ms shot=451ms unfreeze=10ms saved=True
|
|
[ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=12
|
|
[ComfyUI] [comfy-env] VRAM request: 3.50GB, free before eviction: 7.69GB
|
|
[ComfyUI] [comfy-env] VRAM after eviction: 7.69GB
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [VRAM] +304MB (now 304MB) reserved=320MB peak=304MB
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [VRAM] +3030MB (now 3334MB) reserved=3360MB peak=3334MB
|
|
[ComfyUI] [worker:ComfyUI-SAM3] WARNING: attention_flash cannot run on fp32 Q/K/V. Falling back to attention_pytorch with flash-SDPA disabled.
|
|
Frame 3 saved (frame_002.jpg, t=5.0s)
|
|
[capture-periodic] freeze=2ms shot=184ms unfreeze=10ms saved=True
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [VRAM] +354MB (now 3689MB) reserved=3936MB peak=3689MB
|
|
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=12
|
|
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=12
|
|
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=12
|
|
[ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=12
|
|
[capture-loop] iter=50 t=6.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=6.4/31.3GB (20%) swap=0.7/32.0GB (2%) cpu=12% browser_rss=2.07GB
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [VRAM] +798MB (now 4488MB) reserved=4576MB peak=4488MB
|
|
Frame 4 saved (frame_003.jpg, t=7.3s)
|
|
[capture-periodic] freeze=2ms shot=181ms unfreeze=28ms saved=True
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [VRAM] +717MB (now 5205MB) reserved=6336MB peak=5550MB
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [VRAM] -1522MB (now 3684MB) reserved=6336MB peak=5550MB
|
|
[ComfyUI] [worker:ComfyUI-SAM3] [VRAM] -233MB (now 3451MB) reserved=3552MB peak=5550MB
|
|
[ComfyUI] [SubprocessWorker] got response: ok
|
|
[ComfyUI] [comfy-env] Created 1 model patchers: ['Sam3VideoInferenceWithInstanceInteractivity_1']
|
|
[ComfyUI] [comfy-env] SAM3MultipromptSegmentation done (9.36s): result: NodeOutput
|
|
[ComfyUI] [VRAM] After SAM3MultipromptSegmentation: 3927 / 7703 MB
|
|
[ComfyUI] [VRAM] Loaded: SubprocessModel (3334 MB)
|
|
Frame 5 saved (frame_004.jpg, t=12.0s)
|
|
[capture-periodic] freeze=1ms shot=179ms unfreeze=11ms saved=True
|
|
[capture-loop] iter=100 t=12.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=6.0/31.3GB (19%) swap=0.7/32.0GB (2%) cpu=13% browser_rss=1.92GB
|
|
Node executed (2 total), capturing...
|
|
Frame 6 saved (frame_005.jpg, t=15.1s)
|
|
[capture-node] freeze=585ms shot=821ms unfreeze=10ms saved=True
|
|
[ComfyUI] BatchToMultiband: Processed 1 images with 3 channels each -> 3 channels
|
|
[ComfyUI] BatchToMultiband: Processed 7 masks -> 7 channels
|
|
Node executed (3 total), capturing...
|
|
[ComfyUI] BatchToMultiband: Output shape torch.Size([1, 10, 4480, 6720]), channels: ['img_01_r', 'img_01_g', 'img_01_b', 'mask_01', 'mask_02', 'mask_03', 'mask_04', 'mask_05', 'mask_06', 'mask_07']
|
|
[ComfyUI] ResizeMultiband: 4480x6720 -> 600x900
|
|
[ComfyUI] SaveMultibandImage: Saved to output/multiband.npz
|
|
[ComfyUI] Shape: (1, 10, 600, 900)
|
|
[ComfyUI] Format: npz
|
|
[ComfyUI] PreviewMultibandImage: Batch=1, Channels=10, Names=['img_01_r', 'img_01_g', 'img_01_b', 'mask_01', 'mask_02', 'mask_03', 'mask_04', 'mask_05', 'mask_06', 'mask_07']
|
|
[ComfyUI] Prompt executed in 18.19 seconds
|
|
Frame 7 saved (frame_006.jpg, t=17.8s)
|
|
[capture-node] freeze=137ms shot=800ms unfreeze=20ms saved=True
|
|
Node executed (4 total), capturing...
|
|
Frame 8 saved (frame_007.jpg, t=19.1s)
|
|
[capture-node] freeze=11ms shot=246ms unfreeze=0ms saved=True
|
|
Execution complete (t=19.1s)
|
|
Captured 8 unique frames over 19.39s
|
|
[debug] iframes: 0
|
|
[timing] trigger_3d_previews: 0.0s
|
|
Saved high-quality screenshot: scene_seg_executed.png
|
|
[timing] final_screenshot: 0.4s
|
|
Captured 9 video frames |