346 lines
30 KiB
Plaintext
346 lines
30 KiB
Plaintext
[00:00] Crash dump logging enabled: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1130\dev\windows-portable-cpu\crash_dump.log
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[00:00]
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[00:00] [1/5] SYNTAX
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[00:00] ----------------------------------------
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[00:00]
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[DEBUG] server=None, api=None
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[00:00] Found pyproject.toml (modern format)
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[00:00] Found requirements.txt (legacy format)
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[00:00] Unicode check: OK (all characters cp1252-safe)
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[00:00] Forbidden patterns check: OK
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[00:00] [SYNTAX] PASSED
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[00:00]
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[00:00] [2/5] INSTALL
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[00:00] ----------------------------------------
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[00:00]
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[DEBUG] server=None, api=None
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[00:00]
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Setting up ComfyUI...
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[00:00] Fetching latest release version...
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[00:00] Latest version: v0.21.1
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[00:00] Downloading portable ComfyUI from https://github.com/comfyanonymous/ComfyUI/releases/download/v0.21.1/ComfyUI_windows_portable_nvidia.7z...
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[00:01] Downloaded: 10%
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[00:02] Downloaded: 20%
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[00:03] Downloaded: 30%
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[00:04] Downloaded: 40%
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[00:05] Downloaded: 50%
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[00:06] Downloaded: 60%
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[00:07] Downloaded: 70%
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[00:08] Downloaded: 80%
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[00:09] Downloaded: 90%
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[00:12] Downloaded: 100%
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[00:13] Downloaded to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1.7z
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[00:13] Extracting to cache: C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[00:13] Extracting ComfyUI_portable_v0.21.1.7z...
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[00:13] Using 7z: 7z
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[03:10] Extracted to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[03:10] Copying from cache to: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\portable-comfyui
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[03:34] Installing uv into embedded Python...
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[03:34] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install uv
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[03:38] Installing ComfyUI requirements...
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[03:38] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m uv pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\portable-comfyui\ComfyUI_windows_portable\ComfyUI\requirements.txt
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[03:38]
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Installing custom node...
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[03:38] Copying ComfyUI-SAM3 to custom_nodes/...
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[03:39] Installing node requirements...
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[03:39] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\requirements.txt
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[03:44]
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Running install.py...
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[03:44] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\install.py
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[03:45]
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[03:45] Installing 2 node dependencies...
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[03:45] Cloning ComfyUI-VideoHelperSuite...
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[03:45] Installing requirements for ComfyUI-VideoHelperSuite...
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[03:49] Cloning ComfyUI-Multiband...
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[03:50] Installing requirements for ComfyUI-Multiband...
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[03:50]
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[03:50] [requirements] Re-installing main package requirements...
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[03:50] Installing requirements for ComfyUI-SAM3...
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[03:53] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[03:53] [comfy-env] _discover: ComfyUI-Multiband: no comfy-env.toml found
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[03:53] [comfy-env] _discover: ComfyUI-SAM3 -> sam3-nodes (custom_nodes\ComfyUI-SAM3\nodes\comfy-env.toml)
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[03:53] [comfy-env] _discover: ComfyUI-VideoHelperSuite: no comfy-env.toml found
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[03:53] [comfy-env] Workspace: C:\Users\stduser\AppData\Local\Programs\comfy-env
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[03:53] [comfy-env] ComfyUI: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\portable-comfyui\ComfyUI_windows_portable\ComfyUI
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[03:53] [comfy-env] Found 1 node config(s):
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[03:53] - sam3-nodes <- custom_nodes\ComfyUI-SAM3\nodes\comfy-env.toml (python=host)
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[03:53] [comfy-env] Bootstrap interpreter has python 3.13 + torch 2.11.0 (cu130). Looking for cuda-only wheels matching cu130/torch2.11/cp313.
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[03:55] [comfy-env] GPU: No GPU detected
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[03:55] [comfy-env] Comfyui feature -> torch 2.11.0 from https://download.pytorch.org/whl/cu130 (CUDA 13.0 via bootstrap torch)
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[03:55] [comfy-env] cuda-wheels: 3 package(s) need a matched (cuda, torch, python) combo: ['cc_torch', 'torch_generic_nms', 'flash-attn']
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[03:55] [comfy-env] cuda-wheels tier 1 (bootstrap): probing cu13.0/torch2.11/cp313
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[03:55] [cuda-wheels] Looking up cc_torch: cu130 torch2.11 cp313 win_amd64
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[03:56] [cuda-wheels] GH Pages index unreachable, falling back to GitHub Releases API...
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[03:58] [cuda-wheels] Found via API: cc_torch-0.2+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:58] [cuda-wheels] Looking up torch_generic_nms: cu130 torch2.11 cp313 win_amd64
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[03:59] [cuda-wheels] Found: torch_generic_nms-0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:59] [cuda-wheels] Looking up flash-attn: cu130 torch2.11 cp313 win_amd64
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[03:59] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:59] [comfy-env] cuda-wheels combo: cu13.0/torch2.11 (bootstrap matches; per-node envs will pin to this)
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[03:59] [cuda-wheels] Looking up cc_torch: cu130 torch2.11 cp313 win_amd64
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[03:59] [cuda-wheels] GH Pages index unreachable, falling back to GitHub Releases API...
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[04:00] [cuda-wheels] Found via API: cc_torch-0.2+cu130torch2.11-cp313-cp313-win_amd64.whl
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[04:00] [cuda-wheels] Looking up torch_generic_nms: cu130 torch2.11 cp313 win_amd64
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[04:00] [cuda-wheels] Found: torch_generic_nms-0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[04:00] [cuda-wheels] Looking up flash-attn: cu130 torch2.11 cp313 win_amd64
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[04:01] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
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[04:01] [comfy-env] sam3-nodes: cuda-wheels deferred for post-pixi install (cc_torch, torch_generic_nms, flash-attn)
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[04:01] Generated C:\Users\stduser\AppData\Local\Programs\comfy-env\pixi.toml
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[04:01] [comfy-env] Installing 1 environment(s):
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[04:01] - sam3-nodes (python=host, 20 pypi deps, 3 cuda wheels)
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[04:01] [comfy-env] Running `pixi install -e sam3-nodes`...
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[04:27] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[04:27] - Scripts/.librsvg-pre-unlink.bat
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[04:27] To enable them, run:
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[04:27] pixi config set --local run-post-link-scripts insecure
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[04:27] More info:
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[04:27] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[05:25] The sam3-nodes environment has been installed.
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[05:25] [comfy-env] sam3-nodes: installing cuda-wheels with --no-deps (cc_torch, torch_generic_nms, flash-attn)
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[05:25] Using Python 3.13.13 environment at: .pixi\envs\sam3-nodes
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[05:26] Resolved 3 packages in 989ms
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[05:26] Downloading flash-attn (228.4MiB)
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[05:28] Downloaded flash-attn
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[05:28] Prepared 3 packages in 2.41s
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[05:29] Installed 3 packages in 73ms
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[05:29] + cc-torch==0.2+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/cc_torch-latest/cc_torch-0.2%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
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[05:29] + flash-attn==2.8.3+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/flash_attn-latest/flash_attn-2.8.3%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
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[05:29] + torch-generic-nms==0.1+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/torch_generic_nms-latest/torch_generic_nms-0.1%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
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[05:29] [comfy-env] Recorded install hash 69506e1e018e -> C:\Users\stduser\AppData\Local\Programs\comfy-env\install.hash
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[05:29] [comfy-env] Install log: C:\Users\stduser\AppData\Local\Programs\comfy-env\install.log
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[05:29]
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[05:29] Installation complete!
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[05:30] Installing 2 node dependency(ies)...
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[05:30] ComfyUI-VideoHelperSuite from Kosinkadink/ComfyUI-VideoHelperSuite
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[05:31] ComfyUI-VideoHelperSuite already exists, skipping...
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[05:31] ComfyUI-Multiband from PozzettiAndrea/ComfyUI-Multiband
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[05:31] ComfyUI-Multiband already exists, skipping...
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[05:31] Installing validation endpoint...
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[05:31] Cloning PozzettiAndrea/ComfyUI-validate-endpoint...
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[05:31] Running: git clone --depth 1 https://x-access-token:***@github.com/PozzettiAndrea/ComfyUI-validate-endpoint.git D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
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[05:34] CUDA packages absent (will mock): cc_torch, torch_generic_nms, flash_attn
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[05:34] [INSTALL] PASSED
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[05:34]
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[05:34] [3/5] REGISTRATION
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[05:34] ----------------------------------------
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[05:34]
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[DEBUG] server=None, api=None
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[05:34]
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Starting ComfyUI server...
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[05:34] Starting ComfyUI server on port 41889...
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[05:34] CUDA mock packages: cc_torch, torch_generic_nms, flash_attn
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[05:34] Starting ComfyUI server on port 41889...
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[05:34] Server stdout/stderr -> D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1130\server.log
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[05:34] Waiting for server to be ready (timeout: 600s)...
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[05:34] [ComfyUI:stdout] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[05:34] [ComfyUI:stderr] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[06:06] Server responding, waiting for nodes to load...
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[06:26] Server is ready!
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[06:26] Checking for import errors in server logs...
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[06:26] No import errors detected
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[06:26] Found 785 registered nodes
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[06:26] [REGISTRATION] PASSED
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[06:26]
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[06:26] [4/5] INSTANTIATION
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[06:26] ----------------------------------------
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[06:26]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x00000163A2AE2260>, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x00000163A2B0D3F0>
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[06:26] Testing node constructors...
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[06:30] All 15 node(s) instantiated successfully!
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[06:30] [INSTANTIATION] PASSED
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[06:30]
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[06:30] [5/5] EXECUTION
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[06:30] ----------------------------------------
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[06:30]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x00000163A2AE2260>, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x00000163A2B0D3F0>
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[06:30] CPU runner - will execute 4 workflow(s)
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[06:30] Running 5 workflow(s) (all with videos)...
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[06:30] Installing screenshot dependencies (playwright, pillow)...
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[06:32] Packages installed, downloading chromium browser...
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[06:48] Screenshot dependencies installed successfully
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[06:48] Starting headless browser...
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[06:49] Downloading Mesa llvmpipe for Windows...
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[06:53] Copied opengl32.dll to Chromium dir
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[06:53] Copied libgallium_wgl.dll to Chromium dir
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[06:53] Using Mesa llvmpipe (desktop GL) -- multithreaded CPU rendering
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[06:56] Capturing execution frames: image_seg_point.json
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[07:05] Frame 1 saved (frame_000.jpg, t=0.0s)
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[07:05] Validating workflow...
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[07:05] Queuing workflow for execution...
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[07:07] Frame 2 saved (frame_001.jpg, t=2.5s)
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[07:07] [capture-periodic] freeze=3ms shot=137ms unfreeze=4ms saved=True
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[07:10] Frame 3 saved (frame_002.jpg, t=4.8s)
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[07:10] [capture-periodic] freeze=3ms shot=136ms unfreeze=5ms saved=True
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[07:11] [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=5.8/16.0GB (36%) swap=0.3/2.9GB (10%) cpu=47% browser_rss=0.71GB
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[07:11] Node executed (1 total), capturing...
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[07:12] Frame 4 saved (frame_003.jpg, t=6.8s)
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[07:12] [capture-node] freeze=8ms shot=140ms unfreeze=4ms saved=True
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[07:16] Frame 5 saved (frame_004.jpg, t=11.2s)
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[07:16] [capture-periodic] freeze=8ms shot=131ms unfreeze=4ms saved=True
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[07:17] [capture-loop] iter=100 t=12.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=36 ram=6.6/16.0GB (41%) swap=0.3/2.9GB (10%) cpu=46% browser_rss=0.72GB
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[07:18] Frame 6 saved (frame_005.jpg, t=13.4s)
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[07:18] [capture-periodic] freeze=4ms shot=176ms unfreeze=5ms saved=True
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[07:21] Frame 7 saved (frame_006.jpg, t=15.7s)
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[07:21] [capture-periodic] freeze=10ms shot=149ms unfreeze=4ms saved=True
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[07:23] Frame 8 saved (frame_007.jpg, t=18.0s)
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[07:23] [capture-periodic] freeze=2ms shot=133ms unfreeze=4ms saved=True
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[07:24] [capture-loop] iter=150 t=19.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.1/16.0GB (44%) swap=0.3/2.9GB (10%) cpu=54% browser_rss=0.73GB
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[07:26] Frame 9 saved (frame_008.jpg, t=21.3s)
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[07:27] [capture-periodic] freeze=4ms shot=122ms unfreeze=3ms saved=True
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[07:29] Frame 10 saved (frame_009.jpg, t=24.0s)
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[07:29] [capture-periodic] freeze=3ms shot=116ms unfreeze=3ms saved=True
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[07:31] [capture-loop] iter=200 t=26.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.5/16.0GB (41%) swap=0.3/2.9GB (10%) cpu=25% browser_rss=0.73GB
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[07:37] [capture-loop] iter=250 t=32.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.3/16.0GB (40%) swap=0.3/2.9GB (10%) cpu=20% browser_rss=0.64GB
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[07:43] [capture-loop] iter=300 t=38.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=6.2/16.0GB (39%) swap=0.3/2.9GB (10%) cpu=12% browser_rss=0.63GB
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[07:49] [capture-loop] iter=350 t=43.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.1/16.0GB (38%) swap=0.3/2.9GB (10%) cpu=23% browser_rss=0.63GB
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[07:54] [capture-loop] iter=400 t=49.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.1/16.0GB (38%) swap=0.4/2.9GB (15%) cpu=36% browser_rss=0.63GB
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[08:00] [capture-loop] iter=450 t=55.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.1/16.0GB (38%) swap=0.4/2.9GB (15%) cpu=64% browser_rss=0.61GB
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[08:06] [capture-loop] iter=500 t=61.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=0.4/2.9GB (15%) cpu=64% browser_rss=0.60GB
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[08:11] [capture-loop] iter=550 t=66.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.1/16.0GB (38%) swap=0.4/2.9GB (15%) cpu=62% browser_rss=0.59GB
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[08:17] [capture-loop] iter=600 t=72.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.4/16.0GB (40%) swap=0.4/2.9GB (15%) cpu=61% browser_rss=0.59GB
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[08:23] [capture-loop] iter=650 t=78.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.5/16.0GB (40%) swap=0.4/2.9GB (15%) cpu=64% browser_rss=0.58GB
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[08:29] [capture-loop] iter=700 t=84.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.5/16.0GB (41%) swap=0.4/2.9GB (15%) cpu=60% browser_rss=0.57GB
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[08:35] [capture-loop] iter=750 t=90.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=8.8/16.0GB (55%) swap=0.6/2.9GB (20%) cpu=79% browser_rss=0.57GB
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[08:40] [capture-loop] iter=800 t=95.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.8/16.0GB (43%) swap=0.6/2.9GB (20%) cpu=81% browser_rss=0.57GB
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[08:46] [capture-loop] iter=850 t=101.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.0/16.0GB (44%) swap=0.6/2.9GB (20%) cpu=60% browser_rss=0.56GB
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[08:52] [capture-loop] iter=900 t=107.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=7.1/16.0GB (44%) swap=0.6/2.9GB (20%) cpu=61% browser_rss=0.56GB
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[08:56] Node executed (3 total), capturing...
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[08:56] Frame 11 saved (frame_010.jpg, t=111.3s)
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[08:56] [capture-node] freeze=4ms shot=179ms unfreeze=0ms saved=True
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[08:56] Execution complete (t=111.3s)
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[08:56] Captured 11 unique frames over 111.47s
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[08:56] [debug] iframes: 0
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[08:56] [timing] trigger_3d_previews: 0.0s
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[08:58] Saved high-quality screenshot: image_seg_point_executed.png
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[08:58] [timing] final_screenshot: 0.3s
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[08:59] Capturing execution frames: image_seg_text.json
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[09:04] Frame 1 saved (frame_000.jpg, t=0.0s)
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[09:04] Validating workflow...
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[09:04] Queuing workflow for execution...
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[09:07] Frame 2 saved (frame_001.jpg, t=2.2s)
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[09:07] [capture-periodic] freeze=3ms shot=128ms unfreeze=3ms saved=True
|
|
[09:09] Frame 3 saved (frame_002.jpg, t=4.4s)
|
|
[09:09] [capture-periodic] freeze=4ms shot=140ms unfreeze=4ms saved=True
|
|
[09:10] [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.6/2.9GB (20%) cpu=39% browser_rss=0.62GB
|
|
[09:16] [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.9/16.0GB (37%) swap=0.6/2.9GB (20%) cpu=59% browser_rss=0.62GB
|
|
[09:22] [capture-loop] iter=150 t=17.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.1/16.0GB (38%) swap=0.6/2.9GB (20%) cpu=64% browser_rss=0.62GB
|
|
[09:27] [capture-loop] iter=200 t=23.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (38%) swap=0.6/2.9GB (20%) cpu=83% browser_rss=0.61GB
|
|
[09:33] [capture-loop] iter=250 t=28.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.1/16.0GB (38%) swap=0.7/2.9GB (26%) cpu=70% browser_rss=0.54GB
|
|
[09:39] [capture-loop] iter=300 t=34.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.5/16.0GB (41%) swap=0.7/2.9GB (26%) cpu=61% browser_rss=0.53GB
|
|
[09:45] [capture-loop] iter=350 t=40.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.6/16.0GB (41%) swap=0.7/2.9GB (26%) cpu=60% browser_rss=0.53GB
|
|
[09:50] [capture-loop] iter=400 t=46.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.4/16.0GB (40%) swap=0.9/2.9GB (31%) cpu=63% browser_rss=0.53GB
|
|
[09:56] [capture-loop] iter=450 t=51.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.6/16.0GB (41%) swap=0.9/2.9GB (31%) cpu=62% browser_rss=0.52GB
|
|
[10:02] [capture-loop] iter=500 t=57.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.6/16.0GB (42%) swap=0.9/2.9GB (31%) cpu=63% browser_rss=0.51GB
|
|
[10:08] [capture-loop] iter=550 t=63.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.2/16.0GB (51%) swap=1.0/2.9GB (35%) cpu=59% browser_rss=0.51GB
|
|
[10:13] [capture-loop] iter=600 t=68.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=8.0/16.0GB (50%) swap=1.0/2.9GB (35%) cpu=61% browser_rss=0.50GB
|
|
[10:17] Frame 4 saved (frame_003.jpg, t=72.1s)
|
|
[10:17] [capture-periodic] freeze=3ms shot=132ms unfreeze=5ms saved=True
|
|
[10:17] Node executed (2 total), capturing...
|
|
[10:17] Frame 5 saved (frame_004.jpg, t=72.5s)
|
|
[10:17] [capture-node] freeze=4ms shot=114ms unfreeze=0ms saved=True
|
|
[10:17] Execution complete (t=72.5s)
|
|
[10:17] Captured 5 unique frames over 72.66s
|
|
[10:17] [debug] iframes: 0
|
|
[10:17] [timing] trigger_3d_previews: 0.0s
|
|
[10:19] Saved high-quality screenshot: image_seg_text_executed.png
|
|
[10:19] [timing] final_screenshot: 0.2s
|
|
[10:20] Capturing execution frames: scene_seg.json
|
|
[10:26] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[10:26] Validating workflow...
|
|
[10:26] Queuing workflow for execution...
|
|
[10:28] Node executed (1 total), capturing...
|
|
[10:29] Frame 2 saved (frame_001.jpg, t=2.4s)
|
|
[10:29] [capture-node] freeze=62ms shot=254ms unfreeze=9ms saved=True
|
|
[10:31] Frame 3 saved (frame_002.jpg, t=4.8s)
|
|
[10:31] [capture-periodic] freeze=3ms shot=193ms unfreeze=10ms saved=True
|
|
[10:32] [capture-loop] iter=50 t=6.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.9/16.0GB (62%) swap=1.0/2.9GB (35%) cpu=42% browser_rss=1.43GB
|
|
[10:38] [capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=9.8/16.0GB (61%) swap=1.0/2.9GB (35%) cpu=67% browser_rss=1.54GB
|
|
[10:44] [capture-loop] iter=150 t=18.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=8.3/16.0GB (52%) swap=2.0/2.9GB (70%) cpu=70% browser_rss=0.91GB
|
|
[10:50] [capture-loop] iter=200 t=24.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=8.2/16.0GB (51%) swap=2.0/2.9GB (70%) cpu=64% browser_rss=0.95GB
|
|
[10:56] [capture-loop] iter=250 t=30.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=8.5/16.0GB (53%) swap=2.0/2.9GB (69%) cpu=72% browser_rss=1.05GB
|
|
[11:02] [capture-loop] iter=300 t=36.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=8.1/16.0GB (50%) swap=1.9/2.9GB (67%) cpu=63% browser_rss=1.02GB
|
|
[11:08] [capture-loop] iter=350 t=42.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.3/16.0GB (58%) swap=1.9/2.9GB (67%) cpu=65% browser_rss=1.02GB
|
|
[11:14] [capture-loop] iter=400 t=48.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=8.2/16.0GB (51%) swap=1.9/2.9GB (66%) cpu=69% browser_rss=1.02GB
|
|
[11:20] [capture-loop] iter=450 t=53.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (51%) swap=1.9/2.9GB (66%) cpu=82% browser_rss=1.02GB
|
|
[11:26] [capture-loop] iter=500 t=59.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=8.1/16.0GB (51%) swap=1.9/2.9GB (66%) cpu=85% browser_rss=1.02GB
|
|
[11:32] [capture-loop] iter=550 t=65.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=21 ram=8.9/16.0GB (56%) swap=1.9/2.9GB (66%) cpu=85% browser_rss=1.03GB
|
|
[11:32] Frame 4 saved (frame_003.jpg, t=65.8s)
|
|
[11:32] [capture-periodic] freeze=19ms shot=199ms unfreeze=13ms saved=True
|
|
[11:34] Frame 5 saved (frame_004.jpg, t=68.1s)
|
|
[11:34] [capture-periodic] freeze=4ms shot=211ms unfreeze=9ms saved=True
|
|
[11:38] [capture-loop] iter=600 t=72.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=14 ram=10.9/16.0GB (68%) swap=2.0/2.9GB (69%) cpu=96% browser_rss=1.03GB
|
|
[11:44] [capture-loop] iter=650 t=78.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.7/16.0GB (60%) swap=2.0/2.9GB (69%) cpu=84% browser_rss=1.03GB
|
|
[11:45] Frame 6 saved (frame_005.jpg, t=79.4s)
|
|
[11:45] [capture-periodic] freeze=3ms shot=175ms unfreeze=4ms saved=True
|
|
[11:47] Node executed (2 total), capturing...
|
|
[11:48] Frame 7 saved (frame_006.jpg, t=81.4s)
|
|
[11:48] [capture-node] freeze=26ms shot=964ms unfreeze=9ms saved=True
|
|
[11:52] [capture-loop] iter=700 t=85.7s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=3 ram=9.5/16.0GB (59%) swap=2.0/2.9GB (68%) cpu=54% browser_rss=1.50GB
|
|
[11:53] Node executed (3 total), capturing...
|
|
[11:55] Frame 8 saved (frame_007.jpg, t=87.6s)
|
|
[11:55] [capture-node] freeze=17ms shot=1004ms unfreeze=59ms saved=True
|
|
[11:55] Node executed (4 total), capturing...
|
|
[11:55] Frame 9 saved (frame_008.jpg, t=89.0s)
|
|
[11:55] [capture-node] freeze=4ms shot=166ms unfreeze=0ms saved=True
|
|
[11:55] Execution complete (t=89.0s)
|
|
[11:55] Captured 9 unique frames over 89.2s
|
|
[11:55] [debug] iframes: 0
|
|
[11:55] [timing] trigger_3d_previews: 0.0s
|
|
[11:57] Saved high-quality screenshot: scene_seg_executed.png
|
|
[11:57] [timing] final_screenshot: 0.3s
|
|
[11:58] Capturing execution frames: scene_seg_interactive.json
|
|
[12:07] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[12:07] Validating workflow...
|
|
[12:07] Queuing workflow for execution...
|
|
[12:10] Frame 2 saved (frame_001.jpg, t=2.3s)
|
|
[12:10] [capture-periodic] freeze=3ms shot=145ms unfreeze=3ms saved=True
|
|
[12:12] Frame 3 saved (frame_002.jpg, t=4.5s)
|
|
[12:12] [capture-periodic] freeze=3ms shot=95ms unfreeze=2ms saved=True
|
|
[12:13] [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=5.3/16.0GB (33%) swap=2.3/2.9GB (78%) cpu=34% browser_rss=1.09GB
|
|
[12:19] [capture-loop] iter=100 t=11.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=2.3/2.9GB (78%) cpu=20% browser_rss=1.08GB
|
|
[12:24] [capture-loop] iter=150 t=17.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=5.8/16.0GB (36%) swap=2.3/2.9GB (78%) cpu=15% browser_rss=1.08GB
|
|
[12:30] [capture-loop] iter=200 t=22.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.8/16.0GB (36%) swap=2.3/2.9GB (78%) cpu=18% browser_rss=1.08GB
|
|
[12:35] [capture-loop] iter=250 t=28.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.8/16.0GB (36%) swap=2.2/2.9GB (78%) cpu=14% browser_rss=1.08GB
|
|
[12:41] [capture-loop] iter=300 t=33.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.8/16.0GB (36%) swap=2.2/2.9GB (78%) cpu=15% browser_rss=1.08GB
|
|
[12:47] [capture-loop] iter=350 t=39.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.9/16.0GB (37%) swap=2.2/2.9GB (78%) cpu=22% browser_rss=1.08GB
|
|
[12:50] Frame 4 saved (frame_003.jpg, t=42.9s)
|
|
[12:50] [capture-periodic] freeze=4ms shot=106ms unfreeze=3ms saved=True
|
|
[12:52] [capture-loop] iter=400 t=45.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.5/16.0GB (34%) swap=2.6/2.9GB (92%) cpu=23% browser_rss=1.09GB
|
|
[12:58] [capture-loop] iter=450 t=50.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.5/16.0GB (34%) swap=2.6/2.9GB (92%) cpu=17% browser_rss=1.02GB
|
|
[13:03] [capture-loop] iter=500 t=56.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.5/16.0GB (34%) swap=2.6/2.9GB (92%) cpu=30% browser_rss=1.02GB
|
|
[13:09] [capture-loop] iter=550 t=61.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=5.5/16.0GB (34%) swap=2.6/2.9GB (92%) cpu=17% browser_rss=1.01GB
|
|
[13:15] [capture-loop] iter=600 t=67.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.9/16.0GB (37%) swap=2.6/2.9GB (92%) cpu=42% browser_rss=1.01GB
|
|
[13:21] [capture-loop] iter=650 t=73.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.1/16.0GB (38%) swap=2.6/2.9GB (92%) cpu=70% browser_rss=1.01GB
|
|
[13:26] [capture-loop] iter=700 t=79.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (48%) swap=2.6/2.9GB (92%) cpu=67% browser_rss=1.01GB
|
|
[13:32] [capture-loop] iter=750 t=85.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.4/16.0GB (40%) swap=2.6/2.9GB (92%) cpu=78% browser_rss=1.01GB
|
|
[13:38] [capture-loop] iter=800 t=90.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=2.6/2.9GB (92%) cpu=65% browser_rss=1.01GB
|
|
[13:44] [capture-loop] iter=850 t=96.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.7/16.0GB (42%) swap=2.6/2.9GB (92%) cpu=65% browser_rss=1.01GB
|
|
[13:49] [capture-loop] iter=900 t=102.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.9/16.0GB (43%) swap=2.6/2.9GB (92%) cpu=62% browser_rss=1.02GB
|
|
[13:55] [capture-loop] iter=950 t=108.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=2.6/2.9GB (92%) cpu=66% browser_rss=1.01GB
|
|
[14:01] [capture-loop] iter=1000 t=113.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.1/16.0GB (45%) swap=2.6/2.9GB (91%) cpu=68% browser_rss=1.01GB
|
|
[14:07] [capture-loop] iter=1050 t=119.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.4/16.0GB (46%) swap=2.6/2.9GB (91%) cpu=59% browser_rss=1.01GB
|
|
[14:12] [capture-loop] iter=1100 t=125.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (46%) swap=2.8/2.9GB (96%) cpu=59% browser_rss=1.01GB
|
|
[14:17] Frame 5 saved (frame_004.jpg, t=130.0s)
|
|
[14:17] [capture-periodic] freeze=4ms shot=150ms unfreeze=7ms saved=True
|
|
[14:18] [capture-loop] iter=1150 t=131.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.8/16.0GB (55%) swap=2.8/2.9GB (96%) cpu=64% browser_rss=1.01GB
|
|
[14:21] Node executed (1 total), capturing...
|
|
[14:22] Frame 6 saved (frame_005.jpg, t=134.1s)
|
|
[14:22] [capture-node] freeze=67ms shot=484ms unfreeze=5ms saved=True
|
|
[14:22] Node executed (2 total), capturing...
|
|
[14:22] Frame 7 saved (frame_006.jpg, t=134.9s)
|
|
[14:22] [capture-node] freeze=3ms shot=156ms unfreeze=0ms saved=True
|
|
[14:22] Execution complete (t=134.9s)
|
|
[14:22] Captured 7 unique frames over 135.08s
|
|
[14:22] [debug] iframes: 0
|
|
[14:22] [timing] trigger_3d_previews: 0.0s
|
|
[14:24] Saved high-quality screenshot: scene_seg_interactive_executed.png
|
|
[14:24] [timing] final_screenshot: 0.3s
|
|
[14:25] [5/5] SKIPPED (not in cpu list) video_point_prompt.json
|
|
[14:25] Results saved to D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1130\dev\windows-portable-cpu\results.json
|
|
[14:25] Model report: 9 files, 3.2 GB -> D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1130\dev\windows-portable-cpu\models.json
|
|
[14:26] Saved: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1130\dev\windows-portable-cpu\index.html
|
|
[14:26] [EXECUTION] PASSED
|
|
[14:26]
|
|
windows_portable: PASSED
|
|
[14:26] Stopping ComfyUI server...
|