340 lines
28 KiB
Plaintext
340 lines
28 KiB
Plaintext
[00:00] Crash dump logging enabled: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1230\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, server_url=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, server_url=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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[00:02] Downloaded: 10%
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[00:03] Downloaded: 20%
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[00:04] Downloaded: 30%
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[00:05] Downloaded: 40%
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[00:06] Downloaded: 50%
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[00:07] Downloaded: 60%
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[00:08] Downloaded: 70%
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[00:08] Downloaded: 80%
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[00:09] Downloaded: 90%
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[00:10] Downloaded: 100%
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[00:10] Downloaded to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1.7z
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[00:10] Extracting to cache: C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[00:10] Extracting ComfyUI_portable_v0.21.1.7z...
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[00:10] Using 7z: 7z
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[02:15] Extracted to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[02:15] Copying from cache to: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui
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[02:49] Installing uv into embedded Python...
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[02:49] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install uv
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[02:52] Installing ComfyUI requirements...
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[02:52] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m uv pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\requirements.txt
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[02:52]
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Installing custom node...
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[02:52] Copying ComfyUI-SAM3 to custom_nodes/...
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[02:53] Installing node requirements...
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[02:53] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\requirements.txt
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[02:56]
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Running install.py...
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[02:56] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\install.py
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[02:56] [comfy-env] WARNING: Could not enable long paths (needs admin)
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[02:56]
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[02:56] Installing 2 node dependencies...
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[02:56] Cloning ComfyUI-VideoHelperSuite...
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[02:57] Installing requirements for ComfyUI-VideoHelperSuite...
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[02:58] Cloning ComfyUI-Multiband...
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[02:58] Installing requirements for ComfyUI-Multiband...
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[02:59]
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[02:59] [requirements] Re-installing main package requirements...
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[02:59] Installing requirements for ComfyUI-SAM3...
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[03:00] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[03:01] [comfy-env] _discover: ComfyUI-Multiband: no comfy-env.toml found
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[03:01] [comfy-env] _discover: ComfyUI-SAM3 -> sam3-nodes (custom_nodes\ComfyUI-SAM3\nodes\comfy-env.toml)
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[03:01] [comfy-env] _discover: ComfyUI-VideoHelperSuite: no comfy-env.toml found
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[03:01] [comfy-env] Workspace: C:\Users\stduser\AppData\Local\Programs\comfy-env
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[03:01] [comfy-env] ComfyUI: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI
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[03:01] [comfy-env] Found 1 node config(s):
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[03:01] - sam3-nodes <- custom_nodes\ComfyUI-SAM3\nodes\comfy-env.toml (python=host)
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[03:01] [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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[03:02] [comfy-env] GPU: No GPU detected
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[03:02] [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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[03:02] [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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[03:02] [comfy-env] cuda-wheels tier 1 (bootstrap): probing cu13.0/torch2.11/cp313
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[03:02] [cuda-wheels] Looking up cc_torch: cu130 torch2.11 cp313 win_amd64
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[03:03] [cuda-wheels] GH Pages index unreachable, falling back to GitHub Releases API...
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[03:07] [cuda-wheels] Found via API: cc_torch-0.2+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:07] [cuda-wheels] Looking up torch_generic_nms: cu130 torch2.11 cp313 win_amd64
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[03:07] [cuda-wheels] Found: torch_generic_nms-0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:07] [cuda-wheels] Looking up flash-attn: cu130 torch2.11 cp313 win_amd64
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[03:07] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:07] [comfy-env] cuda-wheels combo: cu13.0/torch2.11 (bootstrap matches; per-node envs will pin to this)
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[03:07] [cuda-wheels] Looking up cc_torch: cu130 torch2.11 cp313 win_amd64
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[03:08] [cuda-wheels] GH Pages index unreachable, falling back to GitHub Releases API...
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[03:08] [cuda-wheels] Found via API: cc_torch-0.2+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:08] [cuda-wheels] Looking up torch_generic_nms: cu130 torch2.11 cp313 win_amd64
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[03:09] [cuda-wheels] Found: torch_generic_nms-0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:09] [cuda-wheels] Looking up flash-attn: cu130 torch2.11 cp313 win_amd64
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[03:09] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:09] [comfy-env] sam3-nodes: cuda-wheels deferred for post-pixi install (cc_torch, torch_generic_nms, flash-attn)
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[03:09] Generated C:\Users\stduser\AppData\Local\Programs\comfy-env\pixi.toml
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[03:09] [comfy-env] Installing 1 environment(s):
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[03:09] - sam3-nodes (python=host, 20 pypi deps, 3 cuda wheels)
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[03:09] [comfy-env] Running `pixi install -e sam3-nodes`...
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[03:31] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[03:31] - Scripts/.librsvg-pre-unlink.bat
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[03:31] To enable them, run:
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[03:31] pixi config set --local run-post-link-scripts insecure
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[03:31] More info:
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[03:31] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[04:24] The sam3-nodes environment has been installed.
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[04:24] [comfy-env] sam3-nodes: installing cuda-wheels with --no-deps (cc_torch, torch_generic_nms, flash-attn)
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[04:24] Using Python 3.13.13 environment at: .pixi\envs\sam3-nodes
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[04:24] Resolved 3 packages in 348ms
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[04:24] Downloading flash-attn (228.4MiB)
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[04:29] Downloaded flash-attn
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[04:29] Prepared 3 packages in 5.17s
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[04:31] Installed 3 packages in 1.27s
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[04:31] + 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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[04:31] + 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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[04:31] + 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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[04:31] [comfy-env] Recorded install hash c03d3fc5aee8 -> C:\Users\stduser\AppData\Local\Programs\comfy-env\install.hash
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[04:31] [comfy-env] Install log: C:\Users\stduser\AppData\Local\Programs\comfy-env\install.log
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[04:31]
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[04:31] Installation complete!
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[04:31] Installing 2 node dependency(ies)...
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[04:31] ComfyUI-VideoHelperSuite from Kosinkadink/ComfyUI-VideoHelperSuite
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[04:31] ComfyUI-VideoHelperSuite already exists, skipping...
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[04:31] ComfyUI-Multiband from PozzettiAndrea/ComfyUI-Multiband
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[04:31] ComfyUI-Multiband already exists, skipping...
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[04:31] Installing validation endpoint...
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[04:31] Cloning PozzettiAndrea/ComfyUI-validate-endpoint...
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[04:31] Running: git clone --depth 1 https://github.com/PozzettiAndrea/ComfyUI-validate-endpoint.git D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
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[04:32] CUDA packages absent (will mock): cc_torch, torch_generic_nms, flash_attn
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[04:32] [INSTALL] PASSED
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[04:32]
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[04:32] [3/5] REGISTRATION
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[04:32] ----------------------------------------
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[04:32]
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[DEBUG] server=None, server_url=None, api=None
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[04:32]
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Starting ComfyUI server...
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[04:32] Starting ComfyUI server on port 41895...
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[04:32] CUDA mock packages: cc_torch, torch_generic_nms, flash_attn
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[04:32] Starting ComfyUI server on port 41895...
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[04:32] Server stdout/stderr -> D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\server.log
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[04:32] Waiting for server to be ready (timeout: 600s)...
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[04:32] [ComfyUI:stdout] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[04:32] [ComfyUI:stderr] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[04:58] Server responding, waiting for nodes to load...
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[05:18] Server is ready!
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[05:18] Checking for import errors in server logs...
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[05:18] No import errors detected
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[05:18] Found 785 registered nodes
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[05:18] [REGISTRATION] PASSED
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[05:18]
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[05:18] [4/5] INSTANTIATION
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[05:18] ----------------------------------------
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[05:18]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x0000018FD9905890>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x0000018FD991E690>
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[05:18] Testing node constructors...
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[05:21] All 15 node(s) instantiated successfully!
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[05:21] [INSTANTIATION] PASSED
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[05:21]
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[05:21] [5/5] EXECUTION
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[05:21] ----------------------------------------
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[05:21]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x0000018FD9905890>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x0000018FD991E690>
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[05:21] CPU runner - will execute 4 workflow(s)
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[05:21] Running 5 workflow(s) (all with videos)...
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[05:22] Installing screenshot dependencies (playwright, pillow)...
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[05:28] Packages installed, downloading chromium browser...
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[05:43] Screenshot dependencies installed successfully
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[05:43] Starting headless browser...
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[05:44] Downloading Mesa llvmpipe for Windows...
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[05:49] Copied opengl32.dll to Chromium dir
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[05:49] Copied libgallium_wgl.dll to Chromium dir
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[05:49] Using Mesa llvmpipe (desktop GL) -- multithreaded CPU rendering
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[05:50] Capturing execution frames: image_seg_point.json
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[05:58] Frame 1 saved (frame_000.jpg, t=0.0s)
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[05:58] Validating workflow...
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[05:58] Queuing workflow for execution...
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[06:01] Frame 2 saved (frame_001.jpg, t=2.4s)
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[06:01] [capture-periodic] freeze=5ms shot=118ms unfreeze=7ms saved=True
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[06:03] Frame 3 saved (frame_002.jpg, t=4.6s)
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[06:03] [capture-periodic] freeze=4ms shot=118ms unfreeze=13ms saved=True
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[06:04] Node executed (1 total), capturing...
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[06:04] Frame 4 saved (frame_003.jpg, t=5.8s)
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[06:04] [capture-node] freeze=4ms shot=126ms unfreeze=6ms saved=True
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[06:05] [capture-loop] iter=50 t=6.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=5.9/16.0GB (37%) swap=0.2/2.9GB (6%) cpu=36% browser_rss=0.69GB
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[06:06] Frame 5 saved (frame_004.jpg, t=8.0s)
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[06:06] [capture-periodic] freeze=4ms shot=135ms unfreeze=6ms saved=True
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[06:09] Frame 6 saved (frame_005.jpg, t=10.3s)
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[06:09] [capture-periodic] freeze=4ms shot=146ms unfreeze=5ms saved=True
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[06:11] Frame 7 saved (frame_006.jpg, t=12.5s)
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[06:11] [capture-periodic] freeze=5ms shot=149ms unfreeze=5ms saved=True
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[06:11] [capture-loop] iter=100 t=12.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.2/2.9GB (6%) cpu=58% browser_rss=0.70GB
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[06:13] Frame 8 saved (frame_007.jpg, t=14.7s)
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[06:13] [capture-periodic] freeze=6ms shot=163ms unfreeze=7ms saved=True
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[06:15] Frame 9 saved (frame_008.jpg, t=17.0s)
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[06:15] [capture-periodic] freeze=4ms shot=118ms unfreeze=8ms saved=True
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[06:17] [capture-loop] iter=150 t=19.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=7.4/16.0GB (46%) swap=0.2/2.9GB (6%) cpu=52% browser_rss=0.71GB
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[06:19] Frame 10 saved (frame_009.jpg, t=19.4s)
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[06:20] [capture-periodic] freeze=4ms shot=118ms unfreeze=4ms saved=True
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[06:25] [capture-loop] iter=200 t=27.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.5/16.0GB (41%) swap=0.2/2.9GB (6%) cpu=20% browser_rss=0.63GB
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[06:31] [capture-loop] iter=250 t=33.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.3/16.0GB (40%) swap=0.2/2.9GB (6%) cpu=22% browser_rss=0.63GB
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[06:37] [capture-loop] iter=300 t=38.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.3/16.0GB (39%) swap=0.2/2.9GB (6%) cpu=31% browser_rss=0.63GB
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[06:43] [capture-loop] iter=350 t=44.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=6.6/16.0GB (41%) swap=0.2/2.9GB (6%) cpu=70% browser_rss=0.62GB
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[06:49] [capture-loop] iter=400 t=51.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.5/16.0GB (47%) swap=0.2/2.9GB (6%) cpu=68% browser_rss=0.62GB
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[06:55] [capture-loop] iter=450 t=57.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.5/16.0GB (40%) swap=0.3/2.9GB (10%) cpu=76% browser_rss=0.60GB
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[07:01] [capture-loop] iter=500 t=63.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=6.7/16.0GB (42%) swap=0.3/2.9GB (10%) cpu=62% browser_rss=0.59GB
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[07:07] [capture-loop] iter=550 t=69.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=6.8/16.0GB (43%) swap=0.3/2.9GB (10%) cpu=86% browser_rss=0.59GB
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[07:13] [capture-loop] iter=600 t=75.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.0/16.0GB (44%) swap=0.3/2.9GB (10%) cpu=85% browser_rss=0.58GB
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[07:20] [capture-loop] iter=650 t=81.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.1/16.0GB (44%) swap=0.4/2.9GB (15%) cpu=87% browser_rss=0.57GB
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[07:25] [capture-loop] iter=700 t=87.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.2/16.0GB (45%) swap=0.4/2.9GB (15%) cpu=85% browser_rss=0.57GB
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[07:31] [capture-loop] iter=750 t=93.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.4/16.0GB (46%) swap=0.4/2.9GB (15%) cpu=69% browser_rss=0.56GB
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[07:37] [capture-loop] iter=800 t=99.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.7/16.0GB (48%) swap=0.4/2.9GB (15%) cpu=53% browser_rss=0.56GB
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[07:38] Node executed (2 total), capturing...
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[07:38] Frame 11 saved (frame_010.jpg, t=99.8s)
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[07:38] [capture-node] freeze=5ms shot=128ms unfreeze=17ms saved=True
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[07:38] Node executed (3 total), capturing...
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[07:38] Frame 12 saved (frame_011.jpg, t=100.2s)
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[07:38] [capture-node] freeze=4ms shot=121ms unfreeze=0ms saved=True
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[07:38] Execution complete (t=100.2s)
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[07:38] Captured 12 unique frames over 100.37s
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[07:38] [debug] iframes: 0
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[07:38] [timing] trigger_3d_previews: 0.0s
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[07:41] Saved high-quality screenshot: image_seg_point_executed.png
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[07:41] [timing] final_screenshot: 0.3s
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[07:41] Capturing execution frames: image_seg_text.json
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[07:47] Frame 1 saved (frame_000.jpg, t=0.0s)
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[07:47] Validating workflow...
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[07:47] Queuing workflow for execution...
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[07:49] Frame 2 saved (frame_001.jpg, t=2.2s)
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[07:49] [capture-periodic] freeze=5ms shot=125ms unfreeze=5ms saved=True
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[07:52] Frame 3 saved (frame_002.jpg, t=4.5s)
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[07:52] [capture-periodic] freeze=6ms shot=139ms unfreeze=6ms saved=True
|
|
[07:53] [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (38%) swap=0.4/2.9GB (15%) cpu=35% browser_rss=0.61GB
|
|
[07:59] [capture-loop] iter=100 t=11.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.2/16.0GB (39%) swap=0.4/2.9GB (15%) cpu=62% browser_rss=0.60GB
|
|
[08:05] [capture-loop] iter=150 t=17.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.4/2.9GB (15%) cpu=64% browser_rss=0.60GB
|
|
[08:11] [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.5/16.0GB (41%) swap=0.4/2.9GB (15%) cpu=60% browser_rss=0.59GB
|
|
[08:17] [capture-loop] iter=250 t=29.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.5/16.0GB (40%) swap=0.6/2.9GB (20%) cpu=65% browser_rss=0.52GB
|
|
[08:22] [capture-loop] iter=300 t=35.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.7/16.0GB (42%) swap=0.6/2.9GB (20%) cpu=62% browser_rss=0.52GB
|
|
[08:28] [capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.6/2.9GB (20%) cpu=63% browser_rss=0.51GB
|
|
[08:34] [capture-loop] iter=400 t=47.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.1/16.0GB (44%) swap=0.6/2.9GB (20%) cpu=61% browser_rss=0.51GB
|
|
[08:40] [capture-loop] iter=450 t=53.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.7/2.9GB (24%) cpu=63% browser_rss=0.50GB
|
|
[08:46] [capture-loop] iter=500 t=59.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=0.7/2.9GB (24%) cpu=45% browser_rss=0.50GB
|
|
[08:52] [capture-loop] iter=550 t=64.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.1/16.0GB (57%) swap=0.7/2.9GB (24%) cpu=74% browser_rss=0.50GB
|
|
[08:56] Node executed (1 total), capturing...
|
|
[08:56] Frame 4 saved (frame_003.jpg, t=68.8s)
|
|
[08:56] [capture-node] freeze=6ms shot=110ms unfreeze=5ms saved=True
|
|
[08:56] Node executed (2 total), capturing...
|
|
[08:56] Frame 5 saved (frame_004.jpg, t=69.2s)
|
|
[08:56] [capture-node] freeze=4ms shot=109ms unfreeze=0ms saved=True
|
|
[08:56] Execution complete (t=69.2s)
|
|
[08:56] Captured 5 unique frames over 69.3s
|
|
[08:56] [debug] iframes: 0
|
|
[08:56] [timing] trigger_3d_previews: 0.0s
|
|
[08:59] Saved high-quality screenshot: image_seg_text_executed.png
|
|
[08:59] [timing] final_screenshot: 0.2s
|
|
[08:59] Capturing execution frames: scene_seg.json
|
|
[09:05] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[09:05] Validating workflow...
|
|
[09:05] Queuing workflow for execution...
|
|
[09:07] Frame 2 saved (frame_001.jpg, t=2.3s)
|
|
[09:07] [capture-periodic] freeze=5ms shot=100ms unfreeze=4ms saved=True
|
|
[09:09] Frame 3 saved (frame_002.jpg, t=4.5s)
|
|
[09:09] [capture-periodic] freeze=4ms shot=105ms unfreeze=4ms saved=True
|
|
[09:10] [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=35% browser_rss=0.95GB
|
|
[09:16] [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=16% browser_rss=0.94GB
|
|
[09:22] [capture-loop] iter=150 t=17.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.6/2.9GB (22%) cpu=15% browser_rss=0.93GB
|
|
[09:25] Node executed (1 total), capturing...
|
|
[09:25] Frame 4 saved (frame_003.jpg, t=20.6s)
|
|
[09:25] [capture-node] freeze=60ms shot=198ms unfreeze=7ms saved=True
|
|
[09:28] [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.8/2.9GB (28%) cpu=38% browser_rss=1.50GB
|
|
[09:35] [capture-loop] iter=250 t=30.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.43GB
|
|
[09:40] [capture-loop] iter=300 t=36.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.8/2.9GB (28%) cpu=68% browser_rss=1.42GB
|
|
[09:47] [capture-loop] iter=350 t=42.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.42GB
|
|
[09:53] [capture-loop] iter=400 t=48.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=62% browser_rss=1.35GB
|
|
[09:59] [capture-loop] iter=450 t=54.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=0.8/2.9GB (27%) cpu=69% browser_rss=1.35GB
|
|
[10:05] [capture-loop] iter=500 t=60.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.8/2.9GB (27%) cpu=64% browser_rss=1.35GB
|
|
[10:11] [capture-loop] iter=550 t=66.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.5/16.0GB (47%) swap=0.9/2.9GB (32%) cpu=68% browser_rss=1.35GB
|
|
[10:17] [capture-loop] iter=600 t=72.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.7/16.0GB (48%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.35GB
|
|
[10:23] [capture-loop] iter=650 t=78.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.4/16.0GB (59%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.34GB
|
|
[10:29] [capture-loop] iter=700 t=84.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (51%) swap=0.9/2.9GB (32%) cpu=67% browser_rss=1.34GB
|
|
[10:31] Frame 5 saved (frame_004.jpg, t=86.7s)
|
|
[10:31] [capture-periodic] freeze=6ms shot=178ms unfreeze=11ms saved=True
|
|
[10:34] Frame 6 saved (frame_005.jpg, t=88.9s)
|
|
[10:34] [capture-periodic] freeze=5ms shot=180ms unfreeze=16ms saved=True
|
|
[10:35] [capture-loop] iter=750 t=90.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=10.9/16.0GB (68%) swap=0.9/2.9GB (32%) cpu=82% browser_rss=1.35GB
|
|
[10:41] [capture-loop] iter=800 t=96.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.9/16.0GB (62%) swap=0.9/2.9GB (32%) cpu=76% browser_rss=1.35GB
|
|
[10:43] Frame 7 saved (frame_006.jpg, t=98.1s)
|
|
[10:43] [capture-periodic] freeze=5ms shot=150ms unfreeze=13ms saved=True
|
|
[10:44] Node executed (2 total), capturing...
|
|
[10:45] Frame 8 saved (frame_007.jpg, t=99.8s)
|
|
[10:45] [capture-node] freeze=6ms shot=696ms unfreeze=8ms saved=True
|
|
[10:48] [capture-loop] iter=850 t=103.8s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=5 ram=9.6/16.0GB (60%) swap=0.9/2.9GB (32%) cpu=47% browser_rss=1.80GB
|
|
[10:50] Node executed (3 total), capturing...
|
|
[10:51] Frame 9 saved (frame_008.jpg, t=105.4s)
|
|
[10:51] [capture-node] freeze=629ms shot=223ms unfreeze=16ms saved=True
|
|
[10:51] Node executed (4 total), capturing...
|
|
[10:51] Frame 10 saved (frame_009.jpg, t=106.6s)
|
|
[10:51] [capture-node] freeze=28ms shot=220ms unfreeze=39ms saved=True
|
|
[10:52] Execution complete (t=107.1s)
|
|
[10:52] Captured 10 unique frames over 107.24s
|
|
[10:52] [debug] iframes: 0
|
|
[10:52] [timing] trigger_3d_previews: 0.0s
|
|
[10:54] Saved high-quality screenshot: scene_seg_executed.png
|
|
[10:54] [timing] final_screenshot: 0.3s
|
|
[10:54] Capturing execution frames: scene_seg_interactive.json
|
|
[11:01] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[11:01] Validating workflow...
|
|
[11:01] Queuing workflow for execution...
|
|
[11:03] Frame 2 saved (frame_001.jpg, t=2.2s)
|
|
[11:03] [capture-periodic] freeze=5ms shot=106ms unfreeze=6ms saved=True
|
|
[11:05] Frame 3 saved (frame_002.jpg, t=4.5s)
|
|
[11:05] [capture-periodic] freeze=5ms shot=134ms unfreeze=6ms saved=True
|
|
[11:07] [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.8/16.0GB (49%) swap=0.9/4.4GB (20%) cpu=46% browser_rss=1.38GB
|
|
[11:13] [capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.0/16.0GB (50%) swap=0.9/4.4GB (20%) cpu=64% browser_rss=1.09GB
|
|
[11:19] [capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.9/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=66% browser_rss=1.09GB
|
|
[11:25] [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.1/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=58% browser_rss=1.09GB
|
|
[11:31] [capture-loop] iter=250 t=29.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.4/16.0GB (58%) swap=1.0/2.9GB (35%) cpu=59% browser_rss=1.09GB
|
|
[11:36] [capture-loop] iter=300 t=35.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=58% browser_rss=1.09GB
|
|
[11:42] [capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.09GB
|
|
[11:48] [capture-loop] iter=400 t=47.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=61% browser_rss=1.09GB
|
|
[11:54] [capture-loop] iter=450 t=53.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.7/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.03GB
|
|
[12:00] [capture-loop] iter=500 t=59.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=66% browser_rss=1.03GB
|
|
[12:06] [capture-loop] iter=550 t=65.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=73% browser_rss=1.02GB
|
|
[12:10] Frame 4 saved (frame_003.jpg, t=69.1s)
|
|
[12:10] [capture-periodic] freeze=5ms shot=153ms unfreeze=5ms saved=True
|
|
[12:12] [capture-loop] iter=600 t=71.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=10.4/16.0GB (65%) swap=1.0/2.9GB (35%) cpu=74% browser_rss=1.03GB
|
|
[12:14] Node executed (1 total), capturing...
|
|
[12:15] Frame 5 saved (frame_004.jpg, t=73.7s)
|
|
[12:15] [capture-node] freeze=72ms shot=511ms unfreeze=9ms saved=True
|
|
[12:15] Node executed (2 total), capturing...
|
|
[12:16] Frame 6 saved (frame_005.jpg, t=74.5s)
|
|
[12:16] [capture-node] freeze=6ms shot=168ms unfreeze=0ms saved=True
|
|
[12:16] Execution complete (t=74.5s)
|
|
[12:16] Captured 6 unique frames over 74.74s
|
|
[12:16] [debug] iframes: 0
|
|
[12:16] [timing] trigger_3d_previews: 0.0s
|
|
[12:18] Saved high-quality screenshot: scene_seg_interactive_executed.png
|
|
[12:18] [timing] final_screenshot: 0.3s
|
|
[12:18] [5/5] SKIPPED (not in cpu list) video_point_prompt.json
|
|
[12:19] Results saved to D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1230\dev\windows-portable-cpu\results.json
|
|
[12:19] Model report: 9 files, 3.2 GB -> D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1230\dev\windows-portable-cpu\models.json
|
|
[12:19] Saved: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1230\dev\windows-portable-cpu\index.html
|
|
[12:19] [EXECUTION] PASSED
|
|
[12:19]
|
|
windows_portable: PASSED
|
|
[12:19] Stopping ComfyUI server...
|